Skip to main content
PLOS One logoLink to PLOS One
. 2024 Mar 28;19(3):e0296980. doi: 10.1371/journal.pone.0296980

Product innovation design process combined Kano and TRIZ with AD: Case study

Hui Rong 1,2, Wei Liu 1,2,*, Jin Li 1,2,#, Ziqian Zhou 1,2,#
Editor: Mazyar Ghadiri Nejad3
PMCID: PMC10977887  PMID: 38547255

Abstract

In the era of rapid product iteration, companies need simple and effective methods to guide the entire process of product innovation design and enhance their product innovation capabilities. Most research focused on improving one or several steps in the product design process. Although some scholars have proposed methods that guided the entire process, they combined more than three different theories, which increased the difficulty of theoretical learning and the complexity of practical implementation. This paper proposed a product innovation design process composed of three theoretical methods: Kano, Axiomatic Design (AD), and Theory of the Solution of Inventive Problems (TRIZ). This new process guided the entire product design process with fewer theoretical methods, reducing the difficulty of learning and implementation. The paper demonstrated the effectiveness of this method through the design practice of a portable two-wheeled self-balancing vehicle. Additionally, the discussion section explored the method’s potential from the design management perspective.

Introduction

In the context of fast-paced product iteration, the design innovation capability of companies needs to be enhanced [1]. So, the design innovation methods and processes must be effective and as simple as possible. To propose practical methods, it is necessary to outline the basic design innovation process. Improving user satisfaction is the ultimate goal of continuous product innovation [2]. Therefore, better services and products must start by analyzing user needs [3]. User needs determine the product’s functional attributes, and implementing these functions relies on technical principles and product structure [4]. Analyzing the mapping relationship between functions and structures and resolving conflicts are the main tasks of product functional design [5]. After completing the design solution, evaluating whether the product has been improved and optimized is necessary, which will help designers make design decisions [6]. In summary, the complete process of product innovation design includes five main steps: user needs research (S1), requirement-function transformation (S2), analysis of design issues (S3), resolution of design issues (S4), and design solution evaluation (S5).

Previous studies have proposed methods that only cover a single or a few steps in the product design process. These methods cannot guide the entire process of product innovation design. Further literature research has revealed that some scholars have paid attention to the need for strategies that can guide the whole process. However, these methods required the integration of more than three theories, which brought forth other issues. Readers needed a broad theoretical foundation to comprehend research articles and the design process. Additionally, the abundance of methods increased the complexity of the design practice, making it challenging for readers to learn and difficult to apply these methods widely.

The paper proposed an integrated method that covered the entire design process, utilizing only three theoretical approaches. This new method ensures guidance throughout the design workflow while reducing the complexity of both theory and practice. The proposed approach involves the use of Kano analysis for understanding user requirements (S1), utilizing the AD theory for requirement-function transformation, design problem analysis, and design solution evaluation (S2, S3, S5), and incorporating TRIZ for design problem-solving (S4). The paper demonstrated the new process’s effectiveness through a design practice.

Literature review

This literature review introduces the basic theories and research applications of Kano, AD, and TRIZ methods, their advantages and disadvantages, and the research gap.

Kano

Kano, proposed by Professor Noriaki Kano, is a two-dimensional cognitive model that studies the nonlinear relationship between product quality performance and user satisfaction [7]. The Kano model is widely applied in product development to help designers clarify user needs and establish product objectives [8]. The theoretical model classifies user needs into five categories based on the relationship between the completeness of functional requirements and user satisfaction: Must-Requirement (M), One-Dimensional Requirement (O), Attractive Requirement (A), Indifferent Requirement (I), and Reverse Requirements (R) [912]. These classification criteria assist in identifying explicit and implicit user needs, which contribute to designing new products or improving existing ones [13]. AD theory lacks specific methods for discovering and analyzing user needs. Kano can compensate for AD’s shortcomings and enhance the accuracy of mapping user needs to functional requirements.

Axiomatic design

Professor Suh proposed Axiomatic Design (AD) in 1976 [14, 15]. This theoretical approach aims to establish design specifications quantitatively, assisting designers in enhancing the logic and systematics of problem analysis [16]. The theory proposes the concepts of customer domain (CAs), functional domain (FRs), structural domain (DPs), and process domain (PVs) to standardize the design process [17]. A mapping relationship exists between these domains in a zigzag pattern, as shown in Fig 1. AD utilizes design matrices to express the relationships between the functional and structural domains and employs the independence axioms to analyze design problems [18, 19]. When there is a coupled design, it indicates a contradiction between function and structure, and designers need to find ways to decouple them [20, 21]. After obtaining design solutions, the information axioms in AD help designers make decisions by quantitatively comparing the information content in design alternatives [22]. Therefore, AD can assist in analyzing problems and evaluating solutions. However, previous research has indicated two notable limitations of AD. Firstly, although AD introduces the concept of the customer domain, it fails to provide an accurate method for identifying user needs and classifying their priorities [23]. Secondly, the ability to provide appropriate design suggestions is insufficient when presenting concrete solutions [24]. These are the main reasons the paper proposes the integration of Kano, TRIZ, and AD.

Fig 1. The Z-shaped mapping relationship between the domains.

Fig 1

Theory of inventive problem solving

Theory of Inventive Problem Solving(TRIZ) has been widely and rapidly adopted in academic and industrial fields as an efficient method for solving conflicting problems [25]. In 1946, Altshuller proposed TRIZ based on the analysis of interdisciplinary invention patents [26]. Since then, Ilevbare et al. have perfected the theoretical system of TRIZ by summarizing the contradiction matrix, 40 principles of the invention, and other related theoretical models, tools, and research methods [27]. TRIZ summarizes innovation methods from all fields and proposes a universal pattern that can be applied to engineering, tourism, catering, sharing economy, e-commerce, and other areas [28]. By addressing problems at the system level, TRIZ can effectively balance different interests in product design [29], and many designers and product design scholars have achieved effective design results using TRIZ [30, 31].

The researcher classified all the tools and methods in the TRIZ theory system into three levels: philosophy, principles, and tools [32, 33], as shown in Fig 2. In actual use, researchers can flexibly choose the required methods based on the specific situation. Using contradictions to define problems and solve them with a contradiction matrix is one of the most commonly used methods in TRIZ theory [34]. TRIZ theory describes two types of contradictions: technical and physical contradictions. When a technical contradiction arises, changing one attribute in the system will lead to the deterioration of others. When a physical contradiction arises, the same parameter in the system cannot exist under different requirements [35]. Inventive principles will be found by analyzing the contradictions and comparing them to the corresponding engineering parameters and contradiction matrix [36]. Many published studies have demonstrated the effectiveness of this method [3739]. For designers, the methods in TRIZ theory can provide new design inspiration and help solve contradictions that arise during the design process [40, 41]. After analyzing design problems using AD, designers can utilize TRIZ to help solve these problems, which will compensate for the lack of solution methods in AD.

Fig 2. Summary and classification of TRIZ theory.

Fig 2

Research gap

This study presents the literature through tables to provide a detailed overview of the existing research status. Due to the extensive literature volume, the tables only include research papers that meet the following two criteria: i. The papers were published within the past five years; ii. The papers proposed methodological processes that covered at least two steps in the design process. Table 1 displays the correspondence between the full names and abbreviations of theoretical methods, while Table 2 presents the relevant references.

Table 1. The full names and abbreviations of the theoretical methods.

Full Name Abbreviation Full Name Abbreviation
Axiomatic Design AD Important-Performance Analysis IPA
Analytic Hierarchy Process AHP Kano Kano
Algorithm for Inventive-Problem Solving ARIZ KJ Method KJ
Design Structure Matrix DSM Life Cycle Evaluation LCE
Decision Making Trial and Evaluation Laboratory DEMATEL Principal Component Analysis PCA
Evaluation Grid Method EGM PUGH Concept Selection Matrix PCM
Function Analysis System Technique FAST Quantification Theory Type I QTT1
Failure Mode and Effects Analysis FMEA Quality Function Deployment QFD
Finite Element Analysis FEA Quality Function Deployment Combined with Environmental Aspects QFDE
Grey Relational Analysis GRA Semantic Difference SD
House of Quality HOQ Technique for Order Preference by Similarity to an Ideal Solution TOPSIS
Interpretive Structural Modeling ISM Theory of Inventive Problem Solving TRIZ

Table 2. The references on research related to product innovation design.

Number of Methods Reference Tool used S1-S5 Brief Description
S1 S2 S3 S4 S5
Two [45] QFD/TRIZ A conceptual robot design for an automated layout of building structures was proposed using QFD and TRIZ.
[46] AD/TRIZ The paper designed a cutter-changing robot using modular design, incorporating AD and TRIZ.
[47] AD/TRIZ The paper helped designers utilize AD and TRIZ under incomplete information environments.
[48] AD/TRIZ In modular design, a new design approach for module interfaces was proposed by AD and TRIZ.
[49] Kano/QFD The paper utilized Kano and QFD to identify user requirements and design elements, proposing an optimized design for wooden office desks.
Three [51] Kano/QFDE/TRIZ The paper utilized Kano and QFD to identify requirements and proposed product structures by TRIZ.
[52] TRIZ/Kano/IPA The paper qualitatively determined user requirements and employed TRIZ to conduct an improvement design of bicycle handlebars. Kano and IPA evaluated the new solution.
[53] AHP/QFD/PCM The paper utilized AHP and QFD to analyze the needs of surgical healthcare professionals and the design characteristics of medical devices. PCM evaluated the design proposals.
[54] Kano/TRIZ/QFD The paper identified user requirements and functional technical requirements with Kano and QFD. TRIZ was employed to propose design solutions for a four-wheel vehicle.
[55] Kano/QFD/PCM The paper employed Kano and QFD to identify user requirements and design factors and utilized PCM to evaluate design solutions.
[56] QFD/AHP/ARIZ The paper applied AHP and QFD to analyze the user requirements and technological features of disinfection and epidemic prevention robots. ARIZ proposed the design scheme.
[57] EGM/GRA/QFD The paper acquired user requirements for wickerwork lamps by EGM and GRA. QFD transformed the requirements into technical characteristics, leading to new design solutions.
Three or more Varieties [58] Kano/HOQ/QFD/TRIZ/ISM/DSM The innovative design of temporary refugee housing was achieved by employing the combined methods in this study.
[59] KJ/Kano/QFD/TRIZ/FEA The paper identified user and functional technical requirements by KJ, Kano, and QFD. TRIZ proposed the solutions, evaluated by FEA.
[60] FMEA/QFD/TRIZ/LCA/TOPSIS The paper employed FMEA and QFD to analyze user and technical requirements. Design solutions were proposed by TRIZ and evaluated through LCA and TOPSIS.
[61] SD/PCA/TRIZ/AHP The paper employed SD and PCA to analyze user requirements, proposed design solutions using TRIZ and evaluated the solutions by AHP.
[62] Kano/AHP/DEMATEL/QFD The paper employed Kano and AHP to investigate user requirements. DEMATE and QFD established the relationship between user requirements and design factors.
[63] Kano/AHP/QFD/PCM The paper identified user requirements with Kano and AHP, transformed the requirements into functional requirements using QFD, and evaluated the proposed solution by PCM.
[64] EGM/QTT1/TRIZ/AHP The paper employed EGM and QTT1 to analyze user requirements, proposed design solutions using TRIZ and evaluated the solutions by AHP.
[65] KJ/Kano/FAST/QFD The paper identified user requirements with KJ and Kano, decomposed the product functionalities using FAST, and applied QFD to establish the correlation between user needs and product features.

Numerous scholars have proposed improved methods for individual or multiple steps in product innovation design. Reference [42] examined the current needs of users using Kano (S1). References [43, 44] utilized mathematical models and algorithms to predict future product demands (S1). Reference [45] established the connection between user requirements and product functions by QFD (S2). Additionally, it introduced a robot concept design for architectural layouts through TRIZ (S4). References [4648] analyzed contradictions between functionalities and structures with AD (S3) and subsequently proposed design solutions by applying TRIZ (S4). Reference [50] constructed an evaluation system through literature research and the entropy evaluation method and evaluated mobile applications in government services by grey relational analysis (S5). Reference [52] employed qualitative methods to determine user requirements for bicycle handlebars (S1). Then, it proposed solution strategies using TRIZ (S4) and evaluated user satisfaction with improved handlebars by utilizing Kano and IPA (S5). These methodological processes presented in the studies can effectively enhance the efficiency or accuracy of specific steps in the design process, but they did not provide guidance for the entire process of product innovation design.

Further literature research reveals that some scholars have noticed the research gap in existing methods that failed to cover the entire innovation design process. To address this issue, they have integrated multiple theoretical methods. In reference [59], the KJ method and Kano survey were employed to analyze user requirements for Smart Neck Helmets (S1). And QFD was used to prioritize the importance of functional requirements and engineering parameters, providing a basis for analyzing design conflicts (S2, S3). Subsequently, TRIZ was applied to propose a new design solution (S4). Finally, the scheme was evaluated by FEA (S5). In reference [60], FMEA was utilized to capture user requirements for pressure relief valves. Then, QFD was employed to convert user requirements into functional and technical requirements, and TRIZ was used to develop a new valve structure solution. The solution was evaluated using LCA and Fuzzy TOPSIS. Although the studies guided the entire process of product innovation design, they necessitated the utilization of five different research theories and methods, which had potential drawbacks. First, it required readers to have a broad theoretical foundation to understand the design process and comprehend the research articles. Moreover, the multitude of methods increased the complexity of the design practice, which limited the practical application of these methods.

The paper proposed a new product innovation design process. This new process has two advantages. Firstly, this method can guide the entire process of product innovation design. Additionally, the new process incorporates only three theoretical methods, greatly reducing the learning burden for readers, while also lowering the difficulty and complexity of design practice.

Method

The theoretical approach proposed in this paper consists of six main parts: clarifying user requirements, establishing a product function model, analyzing the conflicts between functional requirements and design parameters, resolving the conflicts based on TRIZ, validating and refining the design solution, and evaluating the scheme. The process is illustrated in Fig 3.

Fig 3. The innovation design process based on Kano, AD, and TRIZ.

Fig 3

Clarify user requirements

The Kano model is applied to identify user needs and classify them into different types, following the steps of designing the questionnaire, collecting responses, and processing data. This step provides a basis for mapping user needs to functional requirements and enhances accuracy.

Establish the function model

After clarifying user needs through the Kano model, in order to improve the accuracy of mapping functional requirements to design parameters, it is necessary to have a systematic understanding of the structural principles of the product. The paper will establish a functional model to decompose the functional structure of the product [66]. The functional model describes the relationships and interactions between components or parts of the product in a graphical manner [67], as shown in Fig 4.

Fig 4. Establish the function model.

Fig 4

Analyze contradictions between product functions and design parameters

This process consists of three main steps.

Firstly, the functional requirements are decomposed based on the user needs identified by Kano.

Secondly, the mapping relationship between functional requirements and design parameters is established based on the functional model, as shown in Table 3. The design equation can be represented as Eq (1), where X indicates the influence of the structure on the function, and O indicates no influence of the structure on the function.

Table 3. Build the mapping relationship between functional requirements and design parameters.

Functional Requirements (FRs) Design Parameters (DPs)
FR1 DP1
FR2 DP2
{FR1FR2}=[XOOX]{DP1DP2} (1)

Thirdly, identify contradictions between product functional requirements and design parameters. According to the independence axiom in AD theory, the coupling of the design matrix is determined. Take Eq (2) as an example. The form of the matrix indicates that it is a coupling matrix. Three groups of conflicts exist between functional requirements and design parameters, namely FR1 and DP3, FR3 and DP1, and FR3 and DP2. To decouple the matrix, these three conflicts are required to be solved.

{FR1FR2FR3}=[XOXOXOXXX]{DP1DP2DP3} (2)

Resolve conflicts based on TRIZ

The process mainly consists of three steps.

Firstly, complete the conversion of general parameters. In this step, the product components involved in the contradiction between function and structure need to be transformed into engineering parameters according to the definition in TRIZ theory, and the improvement factors and deterioration factors should be identified.

Secondly, select appropriate inventive principles and resolve contradictions. Based on the results of factor transformation in Step 1, refer to the Achshuler conflict matrix to find the inventive principle corresponding to the intersection of the improved and deteriorated parameters. Compare the obtained inventive principles with the design objectives and select the appropriate ones to resolve the design conflicts.

Validate and refine the design scheme

Verify the design scheme using the independence axiom in AD theory to determine its rationality. If the design scheme is deemed reasonable, further improvements can be made to enhance its effectiveness.

Evaluate the design scheme

After confirming that the design scheme complies with the independent axioms of AD and refining the design scheme, evaluate the design scheme by the information axioms in AD, comparing the amount of information in the scheme with the original product. Firstly, convert the user requirements obtained through Kano analysis into evaluation system indicators. Secondly, divide the evaluation levels of each indicator and determine the design scope based on user requirements. Thirdly, evaluate the scheme through expert evaluation. Finally, take the triangular fuzzy function as the membership function to convert linguistic terms into corresponding fuzzy numbers [68], draw the function graph, and calculate the amount of information according to Eq (3).

I=log2(fuzzydesignscopefuzzypublicscope) (3)

Case study

The self-balancing two-wheeled vehicle, as a means of transportation, has gained popularity among people in modern society. It has become common for college students to see them taking self-balancing two-wheeled vehicles to travel around the campus. This paper takes the design of a self-balancing two-wheeled vehicle as a practical case study to demonstrate the feasibility and effectiveness of the new process.

Identify user requirements for the self-balancing two-wheeled vehicle

Through expert evaluation, the user requirements for the self-balancing two-wheeled vehicle are determined by Kano analysis regarding commuting functionality, safety, comfort, portability, maintainability, and aesthetics. Based on the final calculation results, Must-Requirements include "ease of standing on the vehicle", "stable structures", and "responsive braking system". One-Dimensional Requirements include "simplicity of structure for easy maintenance" and "aesthetically pleasing appearance". Attractive Requirements include "good shock absorption", "lightweight", "handle for carrying", and "reduced size when idle". Indifferent Requirement is "riding speed". All the calculation results are presented in Table 4.

Table 4. Analysis of user requirements in Kano.

The first-level user requirements The second-level user requirements Kano attributes Better coefficient Worse coefficient
Commuting functionality Ease of standing on the vehicle M 11.90% -88.10%
Riding speed I 35.71% -26.19%
Safety Stable structures M 11.9% -95.24%
Responsive braking system M 16.67% -80.95%
Comfort Good shock absorption A 83.33% -40.48%
Portability Lightweight A 80.95% -19.05%
Handle for carrying A 61.9% -11.9%
Reduced size when idle A 83.33% -7.14%
Maintainability Simple structures for easy maintenance O 45.24% -57.14%
Aesthetics Aesthetically pleasing appearance O 64.29% -59.52%

Establish the functional model of the self-balancing two-wheeled vehicle

Through function analysis, the structural principles of the two-wheeled balancing vehicle, as well as the relationships and interactions among its components, can be determined, as shown in Fig 5. This lays the foundation for establishing the mapping relationship between FRs and DPs.

Fig 5. Establish the function model of a self-balancing two-wheeled vehicle.

Fig 5

Analyze the conflicts between the functional requirements and design parameters

Firstly, decompose the functional requirements based on the user requirements identified by Kano, as shown in Fig 6.

Fig 6. The decomposition of the functional requirements.

Fig 6

Secondly, establish the mapping relationship between functional requirements and design parameters based on the functional model. Refer to Table 5 for details.

Table 5. The mapping relationship between functional requirements and design parameters.

Functional Requirements (FRs) Design Parameters (DPs)
Ease of standing on the vehicle(FR11) Footboard area(DP11)
Riding speed(FR12) Transmission structure and wheels(DP12)
Stable structures(FR21) Car frame (DP21)
Responsive braking system(FR22) Gyroscope and controller(DP22)
Good shock absorption (FR31) Suspension structure(DP31)
Lightweight(FR41) Material (DP41)
Handle for carrying(FR42) Lifting structure(DP42)
Reduced size when idle (FR43) Folding structures(DP43)
Simple structures for easy maintenance (FR51) Car frame(FR51)
Aesthetically pleasing appearance (FR61) Appearance (FR61)
Ease of standing on the vehicle(FR11) Footboard area(DP11)

Thirdly, analyze the conflicts between functional requirements and design parameters based on the independence axiom. According to the mapping results in Table 5, the equations between portable self-balancing scooter functional requirements and product structure are listed, resulting in the design equation as shown in Eq (4). From the design matrix, it can be observed that there are 5 groups of conflicts.

{FR11FR12FR21FR22FR31FR41FR42FR43FR51FR61}=[XOOOOOOOOOOXOOOOOOOOOOXOOXOXXOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOXXOOOOOOXOOOOXOOOOXXOOOOOOOOOOX]{DP11DP12DP21DP22DP31DP41DP42DP43DP51DP61} (4)

There exists a conflict between "stable structures(FR21)" and "material(DP41)". Achieving structural stability requires high material strength, but high-strength materials may have a higher density, which would increase the weight of the self-balancing two-wheeled vehicle.

There exists a conflict between " stable structures(FR21)" and "folding structures(DP43)". While the inclusion of a folding structure may reduce the size when idle, it may also introduce movable components that compromise the structural stability.

There exists a conflict between "handle for carrying(FR42)" and "appearance(DP61)". Adding a handle would make it more convenient for users to carry the self-balancing two-wheeled vehicle, but it may affect the product’s overall aesthetics.

There exists a conflict between " reduced size when idle (FR43)" and "footboard area (DP11)". Reducing the product size may result in a smaller footboard area, which could impact the riding experience for users.

There exists a conflict between "simple structures for easy maintenance(FR51)" and "folding structures(DP43)". The inclusion of a folding structure would increase the complexity of the vehicle’s structure, making maintenance more challenging.

Resolve design issues of the self-balancing two-wheeled vehicle based on TRIZ

Firstly, convert the factors of the self-balancing two-wheeled vehicle into general engineering parameters. Extract the factors that need improvement and the factors that may worsen from the five groups of conflicts, and transform them into the general parameters, as shown in Table 6.

Table 6. Factors transformation.

Serial number Factors that need to be improved Factors that will worsen
Factors General parameters Factors General parameters
1 Stable structures Stability of the structure(NO.13) Weight The weight of a stationary object(NO.2)
2 Reduced size when idle Adaptability and versatility(NO.35) Stable structures Stability of the structure(NO.13)
3 Handle for carrying easily Operability(NO.33) Appearance Shape(NO.12)
4 Reduced size when idle The volume of a stationary object(NO.8) Footboard area The area of a moving object(NO.5)
5 Added folding structure The number of materials or objects(NO.26) Easy maintenance Maintainability(NO.34)

Secondly, select appropriate invention principles. Through the general parameters obtained from Table 6, the paper refers to the Achshuler conflict matrix to find the corresponding invention, as shown in Table 7. More than twenty invention principles are obtained based on the conflict matrix. After careful selection, the paper chooses principles of invention numbered 2, 5, 15, and 7 as the guiding methods for designing the self-balancing two-wheeled vehicle.

Table 7. The invention principles found in the Achshuler conflict matrix.

Improved parameters Deterioration parameter
The weight of a stationary object(NO.2) Stability of the structure(NO.13) Shape(NO.12) The area of a moving object(NO.5) Maintainability(NO.34)
Stability of the structure(NO.13) 26,29,1,40 / 22,1,18,4 2,11,13 2,35,10,16
Adaptability and versatility(NO.35) 9,15,29,16 35,30,14 15,37,1,8 35,30,29,7 1,16,7,4
Operability(NO.33) 6,13,1,25 32,35,30 15,34,29,28 1,17,13,16 12,26,1,32
The volume of a stationary object(NO.8) 35,10,19,14 34,28,35,40 7,2,35 / 1
The number of materials or objects(NO.26) 27,26,18,35 15,2,17,40 35,14 15,14,29 2,32,10,25

Thirdly, utilize the invention principles to resolve design issues.

Above all, according to the invention principle No.2, the principle of extraction means that removing the part or attribute that has a negative effect is extracted from the object. The power transmission shaft component in the power system is extracted, thereby reducing the complexity and difficulty of the folding wheel structure.

Next, the invention principle No.5 is used for combination, which involves combining or merging the same objects or related operations in space or time. Combine the motor that generates power with the moving wheel, namely utilize hub motors to provide motive force for a self-balancing two-wheeled vehicle. The permanent magnet hub motor designed and researched by Ai Dong et al. can be a good choice, characterized by good stability, lightweight, and compact design [69].

Furthermore, the invention principle No.15, the dynamic principle, is meant to divide an object and make each of its parts alter its relative positions. To achieve folding function, certain components of the self-balancing scooter are allowed to change their relative positions. During this process, it is necessary to set up two rotating mechanisms to achieve the folding of the footboards and the wheels. A hinge is used between the handle and the footboard to achieve rotational folding of the footboard. The shape of the handle is designed to limit the footboard’s rotation angle, ensuring the product structure’s stability while riding. Moreover, it ensures the footboards can be quickly and easily folded when users need to carry the vehicle. A connecting shaft is employed between the wheel with a hub motor and the footboard. To realize the folding of wheels, a fixed joint is utilized to connect the connecting shaft with the wheel, while a rotating joint is adopted to connect the connecting shaft with the footboard. The structure enables the wheel to rotate onto the two-dimensional plane where the footboard is located, further reducing the overall volume of the product after folding.

Eventually, the invention principle No.7, the nesting principle, is employed to allow one object to pass through or be within the cavity of another object. To ensure the stability of the vehicle structure during riding and the simplicity of folding operation, a self-locking system needs to be designed. Two connecting shafts with different shape features are nested between the connecting shaft and the footboard to achieve dual functionality. During the operation of the vehicle, a square axis is used to connect the connecting shaft and the footboard to prevent relative displacement between the footboard and the wheel. When folding the self-balancing vehicle, the square axis is replaced with a round axis, so that the connecting shaft can act as a pivot. These two connecting shafts can be interchanged through buttons, card slots, and springs.

By comprehensively applying the inventive principles, a folding structure that meets the requirements is obtained. The schematic diagram of this structure is shown in Fig 7. As the two-wheeled self-balancing vehicle is symmetrical, only the right side is shown in the figure.

Fig 7. The structural explosion diagram of the product in the design scheme.

Fig 7

Validate and refine the design scheme

Firstly, the rationality of the design proposal is validated using the independence axiom of the AD theory. The mapping relationship between the functional requirements and design parameters of the self-balancing two-wheeled vehicle in the design scheme is established, as shown in Table 8. The design matrix, as shown in Eq (5), indicates a non-coupled design according to the definition of the AD theory, suggesting that the design scheme is theoretically reasonable.

Table 8. The new mapping relationship between functional requirements and design parameters.

Functional Requirements (FRs) Design Parameters (DPs)
Ease of standing on the vehicle(FR11) Footboard area (DP11)
Riding speed(FR12) Hub motors and wheels (DP12)
Stable structures(FR21) Self-locking structure (DP21)
Responsive braking system(FR22) Gyroscope and controller (DP22)
Good shock absorption (FR31) Suspension structure (DP31)
Lightweight(FR41) Materials with high strength and low density (DP41)
Handle for carrying(FR42) T handle structure (DP42)
Reduced size when idle (FR43) Rotating shaft (DP43)
Simple structures for easy maintenance (FR51) Car frame (DP51)
Aesthetically pleasing appearance (FR61) Appearance (DP61)
{FR11FR12FR21FR22FR31FR41FR42FR43FR51FR61}=[XOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOXOOOOOOOOOOX]{DP11DP12DP21DP22DP31DP41DP42DP43DP51DP61} (5)

Secondly, refine the design scheme based on the mechanical structure in the new design scheme. The design schematics of the self-balancing two-wheeled vehicle are shown in Fig 8. This self-balancing two-wheeled is different from traditional ones. It can serve as a means of transportation when the user needs to travel from one place to another, and can also be folded by the user when not in use. The folding steps are shown in Fig 9. Taking into account both commuting and portability in terms of ergonomics, the product size is determined as depicted in Fig 10. The product has a simple and compact appearance, with colors mainly black and gray. And blue vehicle lights are used to enhance its technological sense. The main material options for the product body include aluminum alloy, magnesium alloy, or carbon fiber, which ensure strength while maintaining lightweight quality. These materials possess high plasticity and mature manufacturing processes, including sheet metal processing, spinning, stamping, deep drawing, and superplastic forming. In addition, the surface can be changed with spray painting or powder coating to increase corrosion resistance and scratch resistance.

Fig 8. The design schematics of the portable self-balancing two-wheeled vehicle.

Fig 8

(a) This figure shows the deployment state of a portable two-wheeled balancing vehicle. (b). This figure shows the folding state of a portable two-wheeled balancing vehicle.

Fig 9. The operation procedures of folding the self-balancing two-wheeled vehicle.

Fig 9

Fig 10. Product size chart.

Fig 10

(a) This figure shows the product size of the self-balancing two-wheeled vehicle as it is deployed. (b) This figure shows the product size of the self-balancing two-wheeled vehicle as it is folded.

Evaluation of the self-balancing two-wheeled vehicle design scheme

First, the user requirements obtained through Kano analysis are transformed into evaluation system indicators, namely, commuting functionality(A), safety(B), comfort(C), portability(D), maintenance complexity(E), and aesthetics(F).

Next, divide the evaluation levels of each indicator and determine the design scope on user requirements. A-D and F are divided into five evaluation levels: poor, fair, average, good, and excellent, while E is divided into three evaluation levels: simple, average, and complex. The design ranges of each indicator are determined based on user requirements. The design range for A-D and F is good and above, while the design range for E is average and below.

Then, through expert evaluation, the two self-balancing two-wheeled vehicles are assessed, and the evaluation results are shown in Table 9.

Table 9. The evaluation results of two self-balancing two-wheeled vehicles.

Commuting functionality (A) Safety (B) Comfort (C) Portability (D) Maintenance complexity (E) Aesthetics (F)
The design scheme Good Good Good Excellent Average Good
The original vehicle Excellent Good Good Average Simple Average

Finally, calculate the information amount based on the plotted function graph. Take the commuting function (A) as an example; the plotted function graph is shown in Fig 11. Eq (6) and Eq (7) show the information calculation processes. All the evaluation results are in Table 10.

Fig 11. The membership function curve of the commuting function(A).

Fig 11

Table 10. Calculation results of information quantity for each evaluation indicator.

Evaluation indicators The design scheme The original vehicle
Commuting functionality(A) 1.3219 0.3219
Safety(B) 1.3219 1.3219
Comfort(C) 1.3219 1.3219
Portability(D) 0.3219 3.3219
Maintenance complexity(E) 1.3219 0.3219
Aesthetics (F) 1.3219 3.3219
Total 6.9314 9.9314
I(thedesignscheme)=log2(fuzzydesignscopefuzzypublicscope)=log2[(3+2)×1×12(31)×1×12]=1.3219 (6)
I(theoriginalvehicle)=log2(fuzzydesignscopefuzzypublicscope)=log2[(3+2)×1×12(3+1)×1×12]=0.3219 (7)

Discussion

Contribution, significance, and limitations

This paper proposed a process for product innovation design by combining Kano, AD, and TRIZ. The new process was applied to the design practice of a self-balancing two-wheeled vehicle, which resulted in an improved design scheme. The final design output demonstrated that the proposed method could effectively guide the entire product innovation design process, helping designers understand user needs, analyze functional requirements, identify and resolve structural contradictions, and evaluate design solutions. In the new method, Kano’s identification of user needs clarifies the design direction in the early stages and forms an evaluation model for design solutions in conjunction with AD during the design evaluation stage. The AD theory plays a role in transforming user needs, analyzing design contradictions, and evaluating design solutions in the new process. These theoretical methods fully demonstrate their effectiveness and characteristics in the new process, leading to a reduced complexity of integrated methods in theory and practice compared to previous studies [59, 60].

However, shortcomings in the new process can also be clearly identified during design practice. Firstly, the method proposed in this paper cannot effectively identify dynamically changing user requirements. Reference [70] combined Kano, grey relational analysis, and benchmarking theory to help identify and calculate dynamically changing user requirements and satisfaction. Additionally, using TRIZ to find innovative methods can lengthen the design cycle. Although TRIZ has summarized many parameters and inventive principles, it still relies on the designer’s experience for practical application selection. In this process, the design team needs to go through several trial-and-error attempts to find the correct direction, which undoubtedly prolongs the design cycle. Reference [71] proposed utilizing artificial neural networks (ANN) to address this issue. In conclusion, there are still shortcomings in the new process proposed in this study. Further research should try to address the shortcomings through optimization methods or by considering other perspectives.

Insights from managerial perspectives

Based on the above discussion, it can be concluded that the proposed method has limitations in both capturing dynamic user requirements and efficiently utilizing TRIZ. Appropriate management approaches can partially compensate for the drawbacks of new processes without increasing the complexity of theoretical methods in practical implementation. The following will explain the design management approach of agile development and discuss the potential of using this management approach to address the drawbacks based on literature research and successful design cases.

Agile development originally referred to a design and management approach for software development that emphasizes iteration and incremental progress [72]. It underlines rapid feedback, flexibility, and collaboration, focusing on team communication and cooperation to adapt to changing requirements and rapidly iterate product updates [73]. This design management approach has gradually been extended to physical product design, known as agile product development [7476].

The agile product development management approach requires constant feedback from users during the product design process to adapt to user needs and adjust design plans promptly. Simultaneously, technical development for implementing product functionalities should be conducted while conceptualizing design plans, with regular feedback provided [77]. The application of the agile product development management approach in industrial case studies, as demonstrated in the literature [7779], has proven the effectiveness of this management approach in responding to dynamic user needs and rapidly iterating product technology plans. Many commercially successful products have been developed using this design management approach, such as Tesla’s Model 3. Tesla’s design team closely collaborated with potential users during the design process, rapidly collecting feedback on requirements and opinions on automotive interior design and promptly adjusting design plans. Moreover, due to the parallel design and development management approach, Tesla could proceed with the release and sales of Model 3 without any delays, even in the event of design plan adjustments.

In summary, the agile product development management approach facilitates tracking changes in user requirements and rapid iteration of product solutions. This effectively compensates for the shortcomings of the proposed method process in this paper. It provides a research direction for the subsequent optimization of the new approach.

Conclusion

The proposed design method combines Kano, AD, and TRIZ, covering the processes and steps of researching user needs, transforming needs into functional requirements, analyzing design problems, solving design problems, and evaluating design solutions. It guided the entire design process with fewer theoretical approaches, reducing the complexity of theory and practice. The design practice of a self-balancing two-wheeled vehicle demonstrated the new method’s effectiveness. However, there are still limitations and shortcomings in this study. Firstly, the proposed theoretical method weakens the ability to capture dynamically changing user needs. Additionally, selecting appropriate engineering parameters and inventive principles from TRIZ relies on personal experience and multiple trial and error. From a management perspective, when designing practice according to the new process, combining the agile product development management approach may compensate for the new process’s shortcomings without increasing theoretical complexity. Future research will attempt to optimize the proposed method process from the perspectives of management and other disciplines, enhancing the ability to follow up on changes in user needs and improving the accuracy of selecting engineering parameters and inventive principles.

Supporting information

S1 File. The minimal underlying data set.

(PDF)

pone.0296980.s001.pdf (60.1KB, pdf)

Acknowledgments

Thanks to Professor Liu for her academic guidance. Thanks to Jin Li and Ziqian Zhou for their research.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The National Natural Science Foundation of China (NOS:52105262)". Professor Wei Liu was the sponsor of the paper research. She played the roles of project management and writing guidance in this study. The authors did not receive any salary from the funder.

References

  • 1.Goli A., Tirkolaee E. B., and Aydın N. S. 2021. "Fuzzy Integrated Cell Formation and Production Scheduling Considering Automated Guided Vehicles and Human Factors." IEEE Transactions on Fuzzy Systems 29 (12):3686–3695. doi: 10.1109/TFUZZ.2021.3053838 [DOI] [Google Scholar]
  • 2.Esra Akgül, Mihrimah Özmen, Cem Sinanoğlu, and Emel Kizilkaya Aydoğan. 2020. "Rough Kansei Mining Model for Market-Oriented Product Design." Mathematical Problems in Engineering 2020:6267031. doi: 10.1155/2020/6267031 [DOI] [Google Scholar]
  • 3.Fanxing Zou, Xinyu Zhu, Yuning Qian, and Danni Chang. 2022. "A Sustainable Product Design Approach Based on Data Mining of Dynamic User Demands: A Case Study on HUAWEI Mate 40 Series." IFAC-PapersOnLine 55 (10):1056–1061. doi: 10.1016/j.ifacol.2022.09.529 [DOI] [Google Scholar]
  • 4.Ying Jin Hui, Haixia Guo, Guozhong Cao, Saina Wei %J Applied Mechanics, and Materials. 2013. "Function Innovation Design Model and its Application in Heating Equipment." Applied Mechanics and Materials 401–403:371–374. doi: 10.4028/www.scientific.net/AMM.401-403.371 [DOI] [Google Scholar]
  • 5.Gero John S., and Kannengiesser Udo. 2004. "The situated function–behaviour–structure framework." Design Studies 25 (4):373–391. doi: 10.1016/j.destud.2003.10.010 [DOI] [Google Scholar]
  • 6.Zhiguo Zhang. 2009. "Research on product design based on the Axiomatic design." 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design, 26–29 Nov. 2009.
  • 7.Noriaki Kano, Nobuhiko Seraku, Fumio Takahashi, and Tsuji Shin-ichi %J JOURNAL OF THE JAPANESE SOCIETY FOR QUALITY CONTROL. 1984. "Attractive Quality and Must-Be Quality." Journal of Japanese Society for Quality Control 14:39–48. [Google Scholar]
  • 8.Lee Ching-Hung Chen Chun-Hsien, Chenyu Lin, Fan Li, and Xuejiao Zhao. 2019. "Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method." Applied Sciences 9 (23):5004. doi: 10.3390/app9235004 [DOI] [Google Scholar]
  • 9.Chen Yung-Hsin, and Su Chao-Ton. 2006. "A Kano-CKM model for customer knowledge discovery." Total Quality Management & Business Excellence 17 (5):589–608. doi: 10.1080/14783360600588158 [DOI] [Google Scholar]
  • 10.Kuo Ying-Feng. 2004. "Integrating Kano’s Model into Web- community Service Quality." Total Quality Management & Business Excellence 15 (7):925–939. doi: 10.1080/14783360410001681854 [DOI] [Google Scholar]
  • 11.Tontini Gérson. 2000. "Identification of customer attractive and must-be requirements using a modified Kano’s method: guidelines and case study." ASQ’s 54th Annual Quality Congress Proceedings, 01/01.
  • 12.Kano N., and Takahashi F. 1979. "On M-H property of quality." Nippon QC Gakkai, 01/01. [Google Scholar]
  • 13.Violante Maria Grazia, and Enrico Vezzetti. 2017. "Kano qualitative vs quantitative approaches: An assessment framework for products attributes analysis." Computers in Industry 86:15–25. doi: 10.1016/j.compind.2016.12.007 [DOI] [Google Scholar]
  • 14.Suh N. P. 1995. "Axiomatic Design of Mechanical Systems." Journal of Vibration and Acoustics 117 (B):2–10. doi: 10.1115/1.2838673 [DOI] [Google Scholar]
  • 15.Taesik Lee. 2003. "Complexity theory in axiomatic design." Doctor, the Department of Mechanical Engineering, Massachusetts Institute of Technology. [Google Scholar]
  • 16.Farid Amro M., and Suh Nam P. 2016. Axiomatic Design in Large Systems. Cham, Switzerland: Springer International Publishing AG Switzerland. [Google Scholar]
  • 17.Suh Nam Pyo. 2001. Axiomatic Design: Advances and Applications. New York, USA: Oxford University Press. [Google Scholar]
  • 18.Shirwaiker Rohan A., and Okudan Gül E. 2008. "Triz and axiomatic design: a review of case-studies and a proposed synergistic use." Journal of Intelligent Manufacturing 19 (1):33–47. doi: 10.1007/s10845-007-0044-6 [DOI] [Google Scholar]
  • 19.Xinyang Deng, and Wen Jiang. 2018. "An Evidential Axiomatic Design Approach for Decision Making Using the Evaluation of Belief Structure Satisfaction to Uncertain Target Values." International Journal of Intelligent Systems 33 (1):15–32. doi: 10.1002/int.21929 [DOI] [Google Scholar]
  • 20.Simon Herbert A. 1996. The sciences of the artificial (3rd ed.). Cambridge, MA, USA: MIT Press. [Google Scholar]
  • 21.Sang-ok Park, Jongmin Yoon, Hochan An, Jeonggyu Park, and Gyung-Jin Park. 2021. "Integration of axiomatic design and design structure matrix for the modular design of automobile parts." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 236 (3):296–306. doi: 10.1177/09544054211014484 [DOI] [Google Scholar]
  • 22.Xinping Wu, Xinzhou Geng, Zhiyi Chen, Aidi Dong, and Jinchao Li. 2022. "Dynamic Design Quality Evaluation of Power Enterprise Digital System Based on Fuzzy Information Axiom." Mathematical Problems in Engineering 2022:2617640. doi: 10.1155/2022/2617640 [DOI] [Google Scholar]
  • 23.Prabhat Kumar, and Puneet Tandon. 2019. "A paradigm for customer-driven product design approach using extended axiomatic design." Journal of Intelligent Manufacturing 30 (2):589–603. doi: 10.1007/s10845-016-1266-2 [DOI] [Google Scholar]
  • 24.Shirwaiker R. A., and Okudan G. E. 2006. "TRIZ and Axiomatic Design: A Review of Manufacturing Case-Studies & Their Compatibility." 2006 Technology Management for the Global Future—PICMET 2006 Conference, 8–13 July 2006.
  • 25.Yu-Shan Chang, Yu-Hung Chien, Kuang-Chao Yu, Chu Yih-Hsien, and Yi-ching Chen Mavis. 2016. "Effect of TRIZ on the creativity of engineering students." Thinking Skills and Creativity 19:112–122. doi: 10.1016/j.tsc.2015.10.003 [DOI] [Google Scholar]
  • 26.Ruihong Zhang, Jianzhong Cha, and Yiping Lu. 2007. "A conceptual design model using axiomatic design, functional basis and TRIZ." 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 2–4 Dec. 2007.
  • 27.Ilevbare Imoh M., David Probert, and Robert Phaal. 2013. "A review of TRIZ, and its benefits and challenges in practice." Technovation 33 (2):30–37. doi: 10.1016/j.technovation.2012.11.003 [DOI] [Google Scholar]
  • 28.Mostafa Jafari, and Reza Zarghami Hamid. 2017. "Effect of TRIZ on enhancing employees’ creativity and innovation." Aircraft Engineering and Aerospace Technology 89 (6):853–861. doi: 10.1108/AEAT-01-2016-0004 [DOI] [Google Scholar]
  • 29.Soo Chin Pin, Fazilah Haron, Siamak Sarmady, Zawawi Talib Abdullah, and Tajudin Khader Ahamad. 2011. "Applying TRIZ principles in crowd management." Safety Science 49 (2):286–291. doi: 10.1016/j.ssci.2010.09.002 [DOI] [Google Scholar]
  • 30.Russo D., Rizzi C., and Montelisciani G. 2014. "Inventive guidelines for a TRIZ-based eco-design matrix." Journal of Cleaner Production 76:95–105. doi: 10.1016/j.jclepro.2014.04.057 [DOI] [Google Scholar]
  • 31.Miao Li, Xinguo Ming, Lina He, Maokuan Zheng, and Zhitao Xu. 2015. "A TRIZ-based Trimming method for Patent design around." Computer-Aided Design 62:20–30. doi: 10.1016/j.cad.2014.10.005 [DOI] [Google Scholar]
  • 32.Mann Darrell L. 2007. Hands-on systematic innovation. Frankfurt, Germany: IFR Press. [Google Scholar]
  • 33.Guang Cheng. 2015. Innovative Thinking and Methods: Theory and Application of TRIZ. China, Beijing: Science Press.(In Chinese) [Google Scholar]
  • 34.Sébastien Dubois, Roland De Guio, and Ivana Rasovska. 2011. "Resolution of inventive problems: different kind of mechanisms." International Journal of Systematic Innovation 1 (4):2–11. [Google Scholar]
  • 35.Daniel Sheu D., Ming-Chuan Chiu, and Dimitri Cayard. 2020. "The 7 pillars of TRIZ philosophies." Computers & Industrial Engineering 146:106572. doi: 10.1016/j.cie.2020.106572 [DOI] [Google Scholar]
  • 36.Runhua Tan. 2010. TRIZ and Applications.China, Beijing: Higher Education Press. (In Chinese) [Google Scholar]
  • 37.Jiwen Chen, Xin Li, Hongjuan Yang, and Chen Wang. 2019. "Innovative Design of a Vertical and Transverse Elevator in Double Shafts, Based on TRIZ Theory." Strojniški vestnik—Journal of Mechanical Engineering 65 (5):14 doi: 10.5545/sv-jme.2018.5937 [DOI] [Google Scholar]
  • 38.Almeida Sergio T., Mo John, Bil Cees, Ding Songlin, and Wang Xiangzhi. 2021. "Conceptual Design of a High-Speed Wire EDM Robotic End-Effector Based on a Systematic Review Followed by TRIZ." Machines 9 (7):132. doi: 10.3390/machines9070132 [DOI] [Google Scholar]
  • 39.Binda Huang, Laishui Zhou, Luling An, wei Wei, and Qingkui Bu. 2017. " Axiomatic Design of TRIZ-integrated Machining Fifixture Scheme." Chinese Journal of Scientific Instrument 38 (04):1031–1040. doi: 10.19650/j.cnki.cjsi.2017.04.030 (In Chinese) [DOI] [Google Scholar]
  • 40.Arash Hosseinpour, and Qingjin Peng. 2012. "Sustainable Design Using Integrated TRIZ and Eco-Checklist With Function Impact Matrix." [Google Scholar]
  • 41.Suthep Butdee, and Frédéric Vignat. 2008. "TRIZ method for light weight bus body structure design." Journal of Achievements in Materials and Manufacturing Engineering 31 (2):456–462. [Google Scholar]
  • 42.Laihong Du, Hua Chen, Yadong Fang, Xiaowei Liang, Yujie Zhang, Yidan Qiao, et al. 2022. "Research on the Method of Acquiring Customer Individual Demand Based on the Quantitative Kano Model." Computational Intelligence and Neuroscience 2022:5052711. doi: 10.1155/2022/5052711 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Alireza Goli, Hasan Khademi Zare, Reza Tavakkoli-Moghaddam, and Ahmad Sadeghieh. 2019. "Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry." Computers & Industrial Engineering 137:106090. doi: 10.1016/j.cie.2019.106090 [DOI] [Google Scholar]
  • 44.Alireza Goli, Hasan Khademi-Zare, Reza Tavakkoli-Moghaddam, Ahmad Sadeghieh, Mazyar Sasanian, and Ramina Malekalipour Kordestanizadeh. 2021. "An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study." Network: Computation in Neural Systems 32 (1):1–35. doi: 10.1080/0954898X.2020.1849841 [DOI] [PubMed] [Google Scholar]
  • 45.Taehoon Kim, Hyunsu Lim, and Kyuman Cho. 2022. "Conceptual robot design for the automated layout of building structures by integrating QFD and TRIZ." The International Journal of Advanced Manufacturing Technology 120 (3):1793–1804. doi: 10.1007/s00170-022-08803-2 [DOI] [Google Scholar]
  • 46.Mei Yang, Yimin Xia, Lianhui Jia, Dujuan Wang, and Zhiyong Ji. 2021. "A modular design method based on TRIZ and AD and its application to cutter changing robot." Advances in Mechanical Engineering 13 (7):1–18. doi: 10.1177/16878140211034369 [DOI] [Google Scholar]
  • 47.Xiuzhen Li, Siqi Qiu, and Ming Henry X. G. 2019. "An integrated module-based reasoning and axiomatic design approach for new product design under incomplete information environment." Computers & Industrial Engineering 127:63–73. doi: 10.1016/j.cie.2018.11.057 [DOI] [Google Scholar]
  • 48.Zhong-hang Bai, Shan Zhang, Man Ding, and Jian-guang Sun. 2018. "Research on product innovation design of modularization based on theory of TRIZ and axiomatic design." Advances in Mechanical Engineering 10 (12):1687814018814087. doi: 10.1177/1687814018814087 [DOI] [Google Scholar]
  • 49.Jianhua Lyu, Ran Chen, Lingyun Yang, Jialei Wang, and Ming Chen. 2022. Applying a Hybrid Kano/Quality Function Deployment Integration Approach to Wood Desk Designs for Open-Plan Offices. Forests 13 (11). doi: 10.3390/f13111825 [DOI] [Google Scholar]
  • 50.Zhu J., and Hou H. 2021. "Research on User Experience Evaluation of Mobile Applications in Government Services." IEEE Access 9:52634–52641. doi: 10.1109/ACCESS.2021.3070365 [DOI] [Google Scholar]
  • 51.Yauwseph Tandiono, and Hsin Rau. 2023. An Enhanced Model Using the Kano Model, QFDE, and TRIZ with a Component-Based Approach for Sustainable and Innovative Product Design. Sustainability 15 (1). doi: 10.3390/su15010527 [DOI] [Google Scholar]
  • 52.Kai-Chao Yao, Wei-Tzer Huang, Jing-Ran Xu, Shu-Hua Huang, Chin-Tang Tsai, Wei-Sho Ho, et al. 2023. Application of the TRIZ Innovation System Method to Bicycle Handlebars. Machines 11 (5). doi: 10.3390/machines11050507 [DOI] [Google Scholar]
  • 53.Tian-Lu Zhu, Ya-Jun Li, Ceng-Juan Wu, Han Yue, and Yi-Qian Zhao. 2022. "Research on the Design of Surgical Auxiliary Equipment Based on AHP, QFD, and PUGH Decision Matrix." Mathematical Problems in Engineering 2022:4327390. doi: 10.1155/2022/4327390 [DOI] [Google Scholar]
  • 54.Xin Zhang, Jiehao Li, Ke Fan, Ziyang Chen, Zhenhuan Hu, and Yu Yu. 2020. Neural Approximation Enhanced Predictive Tracking Control of a Novel Designed Four-Wheeled Rollator. Applied Sciences 10 (1). doi: 10.3390/app10010125 [DOI] [Google Scholar]
  • 55.Li Yongchuan, Ghazilla Raja A., and Abdul-Rashid Salwa H. 2022. QFD-Based Research on Sustainable User Experience Optimization Design of Smart Home Products for the Elderly: A Case Study of Smart Refrigerators. International Journal of Environmental Research and Public Health 19 (21). doi: 10.3390/ijerph192113742 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Nanyi Wang, Chang Shi, and Xinhui Kang. 2022. Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm. Sustainability 14 (24). doi: 10.3390/su142416341 [DOI] [Google Scholar]
  • 57.Tianxiong Wang, and Liu Yang. 2023. Combining GRA with a Fuzzy QFD Model for the New Product Design and Development of Wickerwork Lamps. Sustainability 15 (5). doi: 10.3390/su15054208 [DOI] [Google Scholar]
  • 58.Daniel Moran, Atila Ertas, and Utku Gulbulak. 2021. A Unique Transdisciplinary Engineering-Based Integrated Approach for the Design of Temporary Refugee Housing Using Kano, HOQ/QFD, TRIZ, AD, ISM and DSM Tools. Designs 5 (2). doi: 10.3390/designs5020031 [DOI] [Google Scholar]
  • 59.Deng Zhao, and Weiwei Chen. 2021. "Design and Research of Smart Neck Helmets Based on the KANO-QFD Model and TRIZ Theory." Security and Communication Networks 2021:4693719. doi: 10.1155/2021/4693719 [DOI] [Google Scholar]
  • 60.Hameed Abdul Z., Kandasamy Jayakrishna, Aravind Raj Sakthivel, Baghdadi Majed A., and Shahzad Muhammad A. 2022. Sustainable Product Development Using FMEA ECQFD TRIZ and Fuzzy TOPSIS. Sustainability 14 (21). doi: 10.3390/su142114345 [DOI] [Google Scholar]
  • 61.Jian-wei Wang, and Jian-min Zhang. 2019. "Research on Innovative Design and Evaluation of Agricultural Machinery Products." Mathematical Problems in Engineering 2019:8179851. doi: 10.1155/2019/8179851 [DOI] [Google Scholar]
  • 62.Dionicio Neira-Rodado, Miguel Ortíz-Barrios, De la Hoz-Escorcia, Cristiano Paggetti, Laura Noffrini, and Nicola Fratea. 2020. Smart Product Design Process through the Implementation of a Fuzzy Kano-AHP-DEMATEL-QFD Approach. Applied Sciences 10 (5). doi: 10.3390/app10051792 [DOI] [Google Scholar]
  • 63.Meichen Fang, Wei Yang, Hui Li, and Younghwan Pan. 2023. Enhancing User Experience through Optimization Design Method for Elderly Medication Reminder Mobile Applications: A QFD-Based Research Approach. Electronics 12 (13). doi: 10.3390/electronics12132860 [DOI] [Google Scholar]
  • 64.Baoyi Zhang, Minyuan Ma, and Zongsheng Wang. 2023. "Promoting active aging through assistive product design innovation: a preference-based integrated design framework." 11. doi: 10.3389/fpubh.2023.1203830 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Xiaoli Wu, Zhuang Hong, Yajun Li, Feng Zhou, Yafeng Niu, and Chengqi Xue. 2020. "A function combined baby stroller design method developed by fusing Kano, QFD and FAST methodologies." International Journal of Industrial Ergonomics 75:102867. doi: 10.1016/j.ergon.2019.102867 [DOI] [Google Scholar]
  • 66.Chunlong Wu, Youcheng Zhou, Vinicius Pereia Pessôa Marcus, Qingjin Peng, and Runhua Tan. 2021. "Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model." Journal of Manufacturing Systems 58:79–93. doi: 10.1016/j.jmsy.2020.07.006 [DOI] [Google Scholar]
  • 67.Kai Liang, Jie Yang, Xiaobin Long, Xuemei Liang, Jia Lu, and Xiong Liu. 2020. " Avoidance and Innovation Design of Multilateral Bending Machine Based on Functional Modeling." Journal of Guangdong University of Technology 37 (01):7–14.(In Chinese) [Google Scholar]
  • 68.Xinzhao Xu, and Jun Fang. 2019. " Research on the Evaluation and Application of the Configurable Product Design Scheme Based on the Axiom of Fuzzy Information." JOURNAL OF MACHNIE DESIGN 36 (07):14–20. 10.13841/j.cnki.jxsj.2019.07.003.(In Chinese) [DOI] [Google Scholar]
  • 69.Dong Ai, Jiangui Li, Yanbo Liu, and Ruiren Luo. 2021. " Design of New Integrated Permanent-magnet Hub Motor and Cycloidal Reducer System for Electrical Balanced Unicycle." (09):75–80. 10.19356/j.cnki.1001-3997.2021.09.018.(In Chinese) [DOI] [Google Scholar]
  • 70.Runliang Dou, Wei Li, and Guofang Nan. 2019. "An integrated approach for dynamic customer requirement identification for product development." Enterprise Information Systems 13 (4):448–466. doi: 10.1080/17517575.2018.1526321 [DOI] [Google Scholar]
  • 71.Runliang Dou, Yubo Zhang, and Guofang Nan. 2017. "Iterative product design through group opinion evolution." International Journal of Production Research 55 (13):3886–3905. doi: 10.1080/00207543.2017.1316020 [DOI] [Google Scholar]
  • 72.Conforto Edivandro C., Salum Fabian, Amaral Daniel C., da Silva Sérgio Luis, and de Almeida Luís Fernando Magnanini. 2014. "Can Agile Project Management be Adopted by Industries Other than Software Development?" Project Management Journal 45 (3):21–34. doi: 10.1002/pmj.21410 [DOI] [Google Scholar]
  • 73.Petri Kettunen, and Maarit Laanti. 2008. "Combining agile software projects and large-scale organizational agility." Software Process: Improvement and Practice 13 (2):183–193. doi: 10.1002/spip.354 [DOI] [Google Scholar]
  • 74.Conforto Edivandro C., and Amaral Daniel C. 2016. "Agile project management and stage-gate model—A hybrid framework for technology-based companies." Journal of Engineering and Technology Management 40:1–14. doi: 10.1016/j.jengtecman.2016.02.003 [DOI] [Google Scholar]
  • 75.Schuh G., Dölle C., Kantelberg J., and Menges A. 2018. "Identification of Agile Mechanisms of Action As Basis for Agile Product Development." Procedia CIRP 70:19–24. doi: 10.1016/j.procir.2018.02.007 [DOI] [Google Scholar]
  • 76.de Borba João Carlos R., Trabasso Luís Gonzaga, and Pessôa Marcus Vinicius P. 2019. "Agile Management in Product Development." Research-Technology Management 62 (5):63–67. doi: 10.1080/08956308.2019.1638488 [DOI] [Google Scholar]
  • 77.Woogon Shim, and Seok-Won Lee. 2019. "An agile approach for managing requirements change to improve learning and adaptability." Journal of Industrial Information Integration 14:16–23. doi: 10.1016/j.jii.2018.07.005 [DOI] [Google Scholar]
  • 78.Cooper Robert G., and Sommer Anita F. 2016. "The Agile–Stage-Gate Hybrid Model: A Promising New Approach and a New Research Opportunity." Journal of Product Innovation Management 33 (5):513–526. doi: 10.1111/jpim.12314 [DOI] [Google Scholar]
  • 79.Henrique Coimbra, Kathryn Cormican, Olivia McDermott, and Jiju Antony. 2023. "Leading the transformation: agile success factors in an Irish manufacturing company." Total Quality Management & Business Excellence:1–28. doi: 10.1080/14783363.2023.2214515 [DOI] [Google Scholar]

Decision Letter 0

Mazyar Ghadiri Nejad

5 Sep 2023

PONE-D-23-21362Product innovation design process combined Kano and TRIZ with AD: case studyPLOS ONE

Dear Dr. liu,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Oct 20 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Mazyar Ghadiri Nejad, Ph.D.

Academic Editor

PLOS ONE

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Thank you for stating the following financial disclosure:

“Professor Wei Liu from Nanjing Forestry University is the sponsor of the paper research submitted this time. She played the roles of project management and writing guidance in this study.”

At this time, please address the following queries:

a) Please clarify the sources of funding (financial or material support) for your study. List the grants or organizations that supported your study, including funding received from your institution.

b) State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

c) If any authors received a salary from any of your funders, please state which authors and which funders.

d) If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

"Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

4. "PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field. This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: https://www.youtube.com/watch?v=_xcclfuvtxQ

5. Please include a separate caption for each figure in your manuscript.

6. We note that Figures 3, 7, 8, 9 and 10 in your submission contain copyrighted images. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright.

We require you to either (1) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (2) remove the figures from your submission:

A. You may seek permission from the original copyright holder of Figures 3, 7, 8, 9 and 10 to publish the content specifically under the CC BY 4.0 license.

We recommend that you contact the original copyright holder with the Content Permission Form (http://journals.plos.org/plosone/s/file?id=7c09/content-permission-form.pdf) and the following text:

“I request permission for the open-access journal PLOS ONE to publish XXX under the Creative Commons Attribution License (CCAL) CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). Please be aware that this license allows unrestricted use and distribution, even commercially, by third parties. Please reply and provide explicit written permission to publish XXX under a CC BY license and complete the attached form.”

Please upload the completed Content Permission Form or other proof of granted permissions as an "Other" file with your submission.

In the figure caption of the copyrighted figure, please include the following text: “Reprinted from [ref] under a CC BY license, with permission from [name of publisher], original copyright [original copyright year].”

B. If you are unable to obtain permission from the original copyright holder to publish these figures under the CC BY 4.0 license or if the copyright holder’s requirements are incompatible with the CC BY 4.0 license, please either i) remove the figure or ii) supply a replacement figure that complies with the CC BY 4.0 license. Please check copyright information on all replacement figures and update the figure caption with source information. If applicable, please specify in the figure caption text when a figure is similar but not identical to the original image and is therefore for illustrative purposes only.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: 1. How do you ensure that the integration of Axiomatic Design, Kano, and TRIZ is seamless and that the strengths of each theory are effectively leveraged without creating conflicts or redundancies?

2. Could there be challenges in accurately classifying and prioritizing user needs using the Kano model? How do you address potential variations in user needs within different market segments?

3. While the method aims to enhance innovation capability, could the incorporation of TRIZ for solving problems potentially lead to extended design iteration cycles? How can you balance rapid iteration with the thoroughness of TRIZ analysis?

4. Given that this integrated approach requires familiarity with multiple theories, how will designers be trained to effectively use and integrate Axiomatic Design, Kano, and TRIZ? How do you manage the potential learning curve for design teams?

5. The method is proposed as applicable to various industries. How do you account for the differing nature of products, markets, and user needs across these diverse sectors?

6. How do you balance the potential benefits of the integrated approach with the associated resource costs?

7. While the method's effectiveness will be demonstrated through the self-balancing two-wheeled vehicle project, how can you ensure that the success is not overly specific to this case and can be generalized to other product types?

8. TRIZ's toolbox is dynamic and evolves. How do you ensure that your method stays up-to-date with the latest TRIZ tools and techniques for problem-solving?

9. As technological advancements continue, how do you plan to evolve the integrated method to incorporate emerging theories or frameworks that might enhance product innovation?

Reviewer #2: The authors could provide good work. However, there are some concerns to be resolved.

Would you explicitly specify the novelty of your paper? What progress against the most recent state-of-the-art similar studies was made?

The organization of the Introduction section is very unsatisfactory, and it is very messy and hard to read. Thus, this section needs rewriting in order to make it crisp and the main points of the research methodology should be mentioned clearly. This will help the readers to appreciate the novelty of the research.

You have to sharply delineate your research question and gap. Please, be more aware of deriving the question out of the relevant literature streams.

More state-of-the-art methods (models+algorithms) must be reviewed and compared to the suggested ones in this work. I suggest the authors find and read the studies performed by scholars such as Goli et al. and their groups in this regard.

Discussion of the findings was quite weak. The authors should provide a clear and insightful discussion that explains how the study presents a new perspective on the theory and practices.

There is no conceptual comparison with existing approaches, no discussion on the benefits and drawbacks of the new approach. Thus discussions and comparative analyses should be added, also it is important to compare your method with literature ones.

Please elaborate on managerial insights from the industrial cases in a distinct section. Please mention them in the abstract and conclusion sections as well.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Dr. A.Bovas Herbert Bejaxhin

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Mar 28;19(3):e0296980. doi: 10.1371/journal.pone.0296980.r002

Author response to Decision Letter 0


19 Oct 2023

Thank you very much for the questions and suggestions provided by the reviewers. We have responded to each question and suggestion in detail, and the specific content can be found in the "Response to Reviewers" document.

Attachment

Submitted filename: Response to Reviewers.docx

pone.0296980.s002.docx (1.9MB, docx)

Decision Letter 1

Mazyar Ghadiri Nejad

27 Dec 2023

Product innovation design process combined Kano and TRIZ with AD: case study

PONE-D-23-21362R1

Dear Dr. Wei Liu,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Mazyar Ghadiri Nejad, Ph.D.

Academic Editor

PLOS ONE

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: (No Response)

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: (No Response)

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: (No Response)

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: (No Response)

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: (No Response)

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: Authors have improved the paper well and in my point of view it can be accepted in its current form.

Reviewer #3: Dear Author (s),

The comments were adequately addressed and I feel that this manuscript is now acceptable for publication.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Reviewer #3: Yes: Matina Ghasemi

**********

Acceptance letter

Mazyar Ghadiri Nejad

22 Jan 2024

PONE-D-23-21362R1

PLOS ONE

Dear Dr. Liu,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Assoc. Prof. Dr. Mazyar Ghadiri Nejad

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. The minimal underlying data set.

    (PDF)

    pone.0296980.s001.pdf (60.1KB, pdf)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0296980.s002.docx (1.9MB, docx)

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES