Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2023 Feb 2;17:100276. doi: 10.1016/j.pdisas.2023.100276

Conversion strategy builds supply chain resilience during the COVID-19 pandemic: A typology and research directions

Masahiko Haraguchi a,d,, Thomas Neise b, Wenyuan She c, Makoto Taniguchi a
PMCID: PMC9892297  PMID: 36748009

Abstract

This study proposes a novel typology of adaptation to hazards—a conversion strategy as a countermeasure to manage risks in interconnected supply chains. Conversion strategies are intended to transform one or multiple supply chain functions for a different one to manage the changing environment. Supply chain disruptions due to natural hazards have been researched in key manufacturing-based economies like Thailand, the US, Japan, and China. Limited studies, however, have looked at the nature of interconnected risks and its effective countermeasures that arise when the COVID-19 pandemic disrupt supply chains. Here, we examine systemic risks by contrasting supply chain disruptions caused by natural hazards and the pandemic. Our study investigates whether businesses can manage systemic risks brought on by the pandemic by learning from dealing with disruptions caused by natural hazards. We offer a typology of conversion strategies to demonstrate how conversion strategies can be a successful response to pandemic scenarios. Specifically, we propose six conversion types: production location, production line, storage, usage, distributional channel, and workforce skill set. Then, we conclude with the future research directions as well as the kinds of policy supports required to assist businesses in implementing conversion measures by drawing on prior work addressing natural hazards.

Keywords: Natural hazards, Supply chain risks, Conversion, Repurposing, the COVID-19 pandemic

Graphical abstract

Unlabelled Image

1. Introduction

The COVID-19 pandemic has had a profound and detrimental effect on the global economy. The disruptions to countless supply chains have had a cascading impact on various economic sectors [1,2]. However, it has also become apparent that certain businesses possess a greater capacity to mitigate supply chain risks in the face of such crises. The crucial question here is how to effectively respond to and adapt to the unprecedented challenges presented by the pandemic. Through interconnected supply chains, trade, and lifeline networks, disaster risks can spread, causing systemic risks [[3], [4], [5], [6], [59]]. Supply chain disruptions in the manufacturing sector due to natural hazards have been explored in countries, including China [7], Japan [5], Thailand [8]. Studies are looking at supply chains from the resilience perspective in the context of the COVID-19 pandemic, for instance, in the automotive and airline industries [9], the fashion industry [10], additive manufacturing [11], and others. Not many studies, however, address how the lessons learned from managing supply chain risks brought on by natural hazards can be used to manage risks from the COVID-19 pandemic [12].

Among the limited existing literature, the study by Ivanov [13] stands out as a noteworthy contribution by introducing four adaptation strategies — intertwining, scaling, substitution, and repurposing — that sustain supply chain viability during the pandemic. Among these four approaches, policymakers pay close attention to the private sector's repurposing and conversion strategy1 as a fix to problems like the global shortfall of personal protective equipment (PPE) and life-saving medical supplies [[14], [15], [16]]. For instance, rapid steps taken by the industrial sector to help the health system by conversion plan are highlighted in the policy report by the Economic Commission for Latin America and the Caribbean (ECLAC) [14] (Table 1 ). Converting their manufacturing to essential commodities has allowed the engaging enterprises to capitalize on the supply deficit and generate financial gains.

Table 1.

Examples where the manufacturing industry supported the health system with a conversion strategy.

Product Industry Country Examples
Alcohol gel Manufacture of alcoholic beverages, sugar and alcohol mills, manufacture of cosmetics, manufacture of paints, manufacture of cleaning products, refrigeration industry, university laboratories, Argentine and Brazilian Armed Forces. Argentina, Brazil, Chile, Colombia, El Salvador, Guatemala, Mexico. - National and international brewing groups, using the alcohol byproduct from the production of non-alcoholic beers.
- Cosmetic groups: Natura in Brazil and L'Oreal in Argentina.
Masks Textiles, paper and cardboard manufacturing. Argentina, Brazil, Chile, Colombia, Dominican Republic, Guatemala, Haiti. - In Chile, the producers of socks, stockings, and T-shirts (Caffarena and Monarch) manufactured copper masks.
Protective equipment for health professionals (such as masks and shields) Automotive industry, household appliance manufacturing, plastics industry, 3D printing in technology centres and universities, machinery and equipment manufacturers. Argentina, Brazil, Chile, Colombia, Costa Rica, Uruguay. - Automobile companies in Argentina, such as Ford, Fiat Chrysler, Mercedes Benz and Volkswagen, manufactured face shields.
- Comberplast, a plastics company in Chile, manufactured masks and face shields with recycled plastic.

Source: Adapted from ECLAC [14]

Some prior studies argue that the COVID-19 pandemic differs significantly from natural hazards in terms of how they affect the supply chain [17]. However, the COVID-19 pandemic demonstrated a high level of similarity to the natural ones, particularly in terms of responses in the following two reasons. First, the COVID-19 pandemic can be categorized as having a combination of low-disruption probability and severe-consequences, the same as catastrophic events caused by natural hazards. As a result, this kind of incident is consistently underestimated by supply chain managers and is referred to as a significant “blind spot” that could destroy the entire supply chain of the organization and result in incalculable amounts of damage [[18], [19], [20]]. Second, interconnected risks through supply chains tend to show the nature of systemic, cascading risks: one point of failure leads to the collapse of an entire system [5,21]. Cascading risks require the flexibility of response, focusing on the common causes of vulnerability rather than on hazards [4].

To learn how to respond, policymakers have already paid attention to the similarities between disruptions due to natural hazards and ones due to the pandemic. For instance, by examining the global and Japanese lessons learned, the World Bank's publications conclude that supply chain disruption management strategies related to pandemics can benefit from the methodology and lessons learned from historical catastrophes due to natural hazards [16,22]. According to these reports, supply chain disruptions brought on by pandemics would be managed with the use of regulatory instruments and lessons learned by the private and public sectors following previous disasters due to natural hazards (e.g., the Resilient Industry Framework by World Bank [16], government continuity plans [58], and Area Business Continuity Management [23]). However, these works touch on the broader context of how to response and prepare for interconnected risks. Few studies analyze and categorize repurposing and conversion strategies invented and implemented during the pandemic and what policy support is demanded. Consequently, the following questions will be addressed in this paper:

  • 1)

    What existing framework, developed through the examination of past experiences in managing disruptions caused by natural hazards, can be adapted and employed to effectively manage disruptions brought on by pandemics?

  • 2)

    What kinds of conversion strategies have been successful in practice during the COVID-19 pandemic?

  • 3)

    What kind of policy assistance is required for businesses to successfully execute conversion strategies?

This paper analyzes the characteristics of systemic risks in supply chains and their remedies by contrasting supply chain interruptions caused by natural hazards and the pandemic. Moreover, the paper suggests a new classification of strategies that arose during the pandemic and propose policy recommendations while discussing challenges and limitations of conversion strategies.

2. Literature review

2.1. Distinctions between supply chain disruptions caused by natural hazards and the COVID-19 pandemic

There are several similarities between supply chain disruptions due to natural hazards and the pandemic. For instance, small enterprises tend to suffer more if they are more susceptible to supply chain disruptions during both pandemics and disasters due to natural hazards [12]. However, scholars, such as Moritz [17] and Chang, Brown [12], have noted distinctions between disruptions in supply networks due to natural hazards and the COVID-19 pandemic (Table 2 ). For example, the causes of disruptions differ from one another. Natural hazard-induced disruptions were often caused by a lack of supply, whereas pandemic-induced ones were caused by the mismatch between supply and demand (of goods and labor) [12]. Notably, a surge in demand due to changes in public health regulatory measures and consumer behavior were observed during the pandemic, exceeding the recovery of supply, such as one where consumers had to wait for several months for a brand new car to come to their home in the summer of 2022 in the United States [12]. In addition to the items outlined by Moritz [17], the impact of supply chain disruptions can be classified as direct, indirect, tangible, and intangible [8]. Table 2 compares the direct and indirect impacts of the two hazards. One of the key distinctions between the two hazards is that natural hazards trigger disruptions that are originally instigated by physical assets' devastation. As a direct impact, natural hazards can disrupt supply chains as factories or warehouses are damaged [24]. Indirect impacts include, for example, workers not being able to commute, or goods and services not being delivered because of the destruction of transportation routes [25].

Table 2.

Comparison in terms of impacts of supply chain disruptions due to natural hazards and pandemics.

Disruptions due to natural hazards Disruptions due to pandemics
Location of hazards and direct impacts Hazards will be at the local or regional scale. Widespread and global.
Direct impacts Physical assets, such as transportation and facilities. Labor and human mobility.
Indirect impacts From local to global, depending on the characteristics of supply chains. Global.
Impacts on the demand side Demand local to a natural hazard is impacted, through population relocation, inaccessibility due to physical damage, and changes in consumer preferences and needs. But demand impacts are dwarfed by supply impacts. Demand for goods and services substantially and suddenly have shifted due to changes in regulatory public health measures and consumer behaviors. Demand impacts dominates business impact during the pandemic.
Impacts on financial systems Local to moderate correlation with global financial systems. High correlation with global financial systems.

Source: Moriz [17] and Chang and Brown [12]

In contrast, interruptions produced by the COVID-19 pandemic are primarily the result of restrictions on human mobility. Because of non-pharmaceutical interventions (e.g., lockdown and social distancing), workers were unable to commute and consumers could not consume. These effects can be considered as direct effects. Changes in demand owing to constraints on human mobility are examples of indirect damages caused by the pandemic. There are differences between these two hazards, but the measures created to mitigate risks in supply networks due to natural hazards are applicable to the pandemic, as discussed later in Section 3.

2.2. Flexibility as an adaptation strategy to address supply chain disruption risks

Based on a systematic assessment of 137 journal papers on resilience, Stone and Rahimifard [26] conclude that flexibility is one of the most frequently reported factor for organizational and supply chain resilience. Flexibility can be utilized at the organizational level in sourcing, production, and distribution [26,27]. At the supply chain level, flexibility is characterized as the capacity to continue operating and adapt successfully to changing surroundings via partnerships [26,28]. This includes the flexibility to changes in supply and demand sides in supply chains. Examining demand is particularly critical in analyzing disruptions during the pandemic, as demand surges in supply chains mainly caused global shortages during the pandemic.

Sheffi and Rice Jr. [18] examined two key approaches for constructing a resilient supply chain: (a) increasing redundancy and (b) building flexibility. They pointed out that: (a) Adding redundancy necessitates securing spare, surplus resources in day-to-day operations, which tend to be quite costly if it is not related to information technology assets. This is because building redundancy implies that businesses must prepare for “just-in-case” concerns by acquiring additional resources in case of failure that are not required for normal operation. Therefore, building redundancy often contributes to robustness [29]. On the other hand, they indicate that (b) making the supply chain more flexible is a far more “leveraged” strategy, given that by doing so, businesses may enjoy a greater degree of supply chain resilience and create or enhance competitive advantage in the market. Practically, discerning between building redundancy and enhancing flexibility is not straightforward because the two processes overlap. A multiple sourcing strategy, for instance, enables businesses to flexibly revert to an alternative source if the original supplier is unable to provide the items. Having two distinct viewpoints, however, will aid supply chain managers in developing an efficacious measure.

Concerning how to build flexibility into enterprise supply chains, Sheffi and Rice Jr. [18] developed the Five Facets Model by analyzing the basic supply chain configuration within businesses and introducing the five fundamental supply chain features: supply, conversion, distribution, control systems, and corporate culture. As indicated in the Introduction, the focus of this article is on conversion flexibility as the conversion strategy provides rapid response [18]. Assigning multiple capacities and functions at each plant location enables flexibility to an entire supply network. It is also less expensive than maintaining duplicate manufacturing lines. In addition to managing the supply and procurement phase, incorporating flexibility into supply chains entails establishing or upgrading a more advanced degree of conversion. In this study, the previous literature's description of the nature of conversion is enlarged to a wider sense [18], and conversion is defined as the utilization of a production or distribution process or labor in a manner distinct from its originally-designed purpose.

In various studies, conversion is discussed during the COVID-19 with various terms. For instance, Van Hoek [30] asserts a balance among global, nearshore, and local sourcing. Ishida [31] finds the automobile sector is transitioning to a centralized operating model by enhancing closeness to the nation of production, but the personal computer sector is transitioning to a more global one while keeping links with local suppliers. As discussed later in this section, these shifts can be considered conversions in production locations. Ivanov [13] also discusses Ford's conversion operations that produced personal protection equipment. In addition, mathematical models for allocating and sharing a vital resource, such as a ventilator, are explored (e.g., Mehrotra, Rahimian [32]).

3. Examining the cases during the COVID-19 pandemic to categorize different conversion strategies

This section will describe how conversion measures help companies effectually manage risks caused by the pandemic, as well as review industry cases reported in press releases and the media. On the basis of the analysis of cases during the pandemic, we propose a new typology for classifying various conversion strategies (Fig. 1 ,Table 3 ).

Fig. 1.

Fig. 1

Summary of proposed typology of conversion strategies.

Table 3.

Typology of different conversion measures to manage supply chain disruption risks during the pandemic.

Type of conversion measure Description Examples of organization/companies
1. Production Location Conversion To change production locations to produce the same products in a different location. Samsung
2. Production Line Conversion To re-engineer production lines at the same location to produce different products in high demand. TJZX; Aokang; Kimberly-Clark, Georgia-Pacific, P&G; DeCecco, Riviana; Ford; GE; GM; Tesla; Toyota; SINOMACH, SWGM
3. Storage Conversion To change the warehouse and shipping facilities' locations. TTI
4. Usage Conversion To change the primary usage of a supply chain component, such as facilities or transportation modes, for different purposes (e.g., ensuring the space for essential and necessary medical PPE.) University-affiliated Hospital System in United Kingdom
5. Distribution Channel Conversion To modify its distribution channel to consumers or customers in response to their evolving needs. Starbucks, New Retail Approach developed by Aokang, Toilet Paper Manufacturing companies in US, Kimberly-Clark, Georgia-Pacific
6. Workforce Conversion To transfer overstaffed personnel to other sections or companies which are short of staff. Instant-on hot water heaters manufacturing company in UK, Manufacturing companies in China during the Chinese Lunar New Year period, Japanese airline companies

Source: Haraguchi and She [37]

3.1. Production location conversion

Production location conversion is defined as a way of producing products that were originally manufactured in one site by shifting the production site to another less affected site. One of the factories may be unable to operate it due to damaged production sites after a natural hazard or temporarily closed factories during a lockdown imposed during the pandemic. In such a case, it is necessary that production sites or manufacturing lines in the same supply chain (or partnered supply chains) have the competence or can be quickly restructured so as to produce identical final products. Companies with multiple locations for the same production line are more capable of pursuing production location conversion. Manufacturers or suppliers of mass, standardized production rely on multiple production sites so they can relocate production with greater flexibility.

For instance, Samsung Electronics, a company headquartered in South Korea, was not able to keep all of its domestic factories operational during the COVID-19 outbreak because the number of newly confirmed cases of COVID-19 spiked in early 2020. In light of the circumstances, the company moved a portion of its phone manufacturing from South Korea to Vietnam [33]. This instance demonstrates that a company must convert a manufacturing site to continue production supply during pandemics.

3.2. Production line conversion

Another pattern of production conversion is production line conversion, also known as production line repurposing, retooling or reengineering [2,13,34]. By reengineering the production line, firms can manufacture distinct goods in high demand or a substantial scarcity by shifting away from the production of the original goods. This strategy is effective in situations where the operations of production facilities remain unimpeded, yet there has been a decrease in demand for their products or an increase in demand for alternative products. During the COVID-19 pandemic, medical PPE, such as face shields, masks, and ventilators, have been in short supply worldwide. Numerous manufacturers voluntarily modified their manufacturing lines in order to produce these life-saving goods. Ford, for instance, produced components for medical PPE, such as face shields, using its in-house 3D printing capabilities [35]. For another example, numerous toilet paper manufacturers in the United States repurposed their commercial-tissue manufacturing capacity to produce consumer-grade toilet paper in response to the soaring demand in shops and the precipitous decline in demand from commercial channels such as offices, hotels, and convention centers. Breweries and distilleries also changed their beer and alcohol production lines to produce hand sanitizer [34]. In this sense, the presence of a multi-channel network affords businesses the opportunity to rapidly transform production capability [36].

A further example is the Chinese textile manufacturer Tianjin Zhenxing. During the pandemic, the number of orders for bath and hand towels fell by 40% owing to a decrease in demand from commercial companies, such as hotels, whose customers' mobility and market demands decreased [37]. The firm required approximately one month to produce new items in compliance with the standards of the Japanese Epidemic Prevention Department after conducting market research. As a result, 10% of the company's manufacturing capacity was modified in order to create the newly certified product. In only three months, approximately 200,000 new items were sold to Japan, generating an anticipated operational revenue of more than 2 million Chinese Yuan. The examples show that companies reacting flexibly to changing demand in different product segments can reap economic benefits from converting their production line to products that are in high demand.

3.3. Storage conversion

As we saw during the COVID-19 pandemic, disruptions in supply chains could occur when just-in-time production collapsed because primary materials could not arrive on time at warehouses or goods could not be shipped from storage facilities. Once such risk events occur, a prompt response is necessary. In general, it is usual practice to proactively examine and establish which substitute warehouses may be utilized to organize take-in and bring-out services, followed by regular communication with logistics partners. Even if companies rely on specific goods with a lengthy supply chain, they can overcome a temporary disruption in the supply chain by utilizing security or consignment warehouses close to their production sites.

During the COVID-19 outbreak in China, TTI, a distributor of electronic components, was required by government policy to close its warehouses in China. TTI then took measures to entirely run warehouses in Asia, Europe, and the United States in order to take incoming consignments from contractors and send outbound shipments to clienteles [38]. Without a well-managed operation structure, the company could have been severely impacted by the disruption in its supply chain [38]. As this example demonstrates, storage facilities can be crucial to the efficient operation of supply chains. This was illustrated by cases of disruption during disasters due to natural hazards, such as the Thai floods of 2012 [8].

3.4. Usage conversion

Usage conversion is one of the most common forms, particularly during the COVID-19 situation. We define usage conversion as a strategy for changing the primary usage of a supply chain component, such as facilities or transportation modes. For instance, universities are converting their schoolrooms into COVID-19 testing locations, restaurants are operating COVID-19 testing stations, and businesses are converting their conference rooms into temporary testing sites.

A university hospital system in the United Kingdom repurposed a afresh constructed warehouse adjacent to a multipurpose space [39]. For example, the hospital's supply chain team seized the storeroom to gather and manage the first surge of anti-pandemic supplies. Then, they installed donation stations inside the facility to gather contributions of medical PPE. All of these flexible use conversion measures have made incalculable contributions to their effectiveness in responding to COVID-19 [39].

3.5. Distribution channel conversion

Another form of conversion is the modification of the distribution channel, referred to as “distribution channel conversion.” Under this form, a business will modify its distribution channel to consumers or customers in response to their evolving needs. Let's take an example from the consumer beverage industry. The “stay at home” policy during the pandemic has resulted in a significant decline in Starbucks' revenue. However, by promoting mobile applications and other online-merger-offline initiatives, Starbucks has managed to achieve nearly 90% of Q3 2020 sales volumes flow through the combination of the drive-through and mobile order-and-pay [40].

Additionally, Aokang Group, a leather company that produces shoes and other leather products, implemented an additional distribution conversion method. Aokang introduced a new approach dubbed “Cloud + Marketing” based on the community-sharing economy [41]. On February 9, 2020, after nearly a week of full deployment and six months of planning, the online sales applet was officially launched [41]. With the use of Wechat's first-level traffic portal and Aokang's large traffic networks, offline shopping guides can be instantaneously linked and the resources of over 3000 offline retailers can be merged to establish a cross-regional three-dimensional marketing network [41]. A person functions as a store manager due to this unique sharing mechanism, while a mobile phone functions as a physical store. Through fission marketing, 36,000 cloud stores were launched in less than a month [41].

3.6. Workforce conversion

Workforce conversion is one of the strategies implemented by several firms; we define it as a conversion way in which employees remain employed but are retrained to acquire a new skill set in order to adapt to a new type of work in a different section or company which has higher labor demands.

In the United Kingdom, a global provider of instant-on water heaters revealed its cross-training strategy. According to a company manager, there was a need for additional training in the company's shipping and purchasing procedures to account for the absence of employees during the pandemic [39]. Similarly, during the onset of the pandemic, a German manufacturer of respiratory equipment borrowed engineers from the aviation industry who had been placed on temporary assignments in order to increase their production capacity [42].

Workforce conversion proved effective in shifting staff from the travel industry, one of the most severely affected industries by the pandemic. HIS group, a travel agency in Japan, as well as All Nippon Airways and Japan Airlines, two main Japanese airlines, were overstaffed due to business declines during the pandemic [43]. They dispatched overstaffed employees to other companies less impacted by the pandemic, such as a shipping company, a manufacturing company that produces Polymerase Chain Reaction (PCR) test kits, and a medical provider that conducts PCR testing. For example, after a week of training, the air companies dispatched 300 employees to Nojima, an electronic retailer with a labor shortage [43]. In total, both HIS group and Japan Airlines sent 1500 assigned employees at the peak to other companies. By October 2022, when the Japanese government largely mitigated the border control measures, 70% of assigned employees from Air Nippon and 80% of ones from Japan Airlines returned to their companies [44]. Since the airline companies started sending overstaffed employees to other companies in April 2020 [45], it took more than 31 months (i.e., time-to-recovery [46]) to recover 70–80%.

4. What kinds of policy assistance are necessary to enable conversion strategies in supply chains?

In order to implement conversion strategies, flexible trade policies are necessary. Lessons learned from addressing natural hazards can be applied to the development of policies and measures that facilitate conversion strategies for addressing the pandemic. In the case of previous disasters due to natural hazards, the policy research published by the World Trade Organization indicates that inflexible mechanisms in the trade sector contributed to increased economic losses [47]. Examples include delays in obtaining import license requirements, visas for relief personnel, and the temporary admission of relief equipment[47]. The report concludes that logistics, trade and cross-border service sectors must be resilient and adaptable during and after catastrophes. In addition, the report discusses three issues regarding making trading systems adaptable during disasters based on their examination of cases from Caribbean countries:

  • to decrease tiresome import license requirements;

  • to decrease delays in assuring provisional admission of assistance equipment at both entry and exit; and

  • to avoid delays in obtaining visas and admitting the professional skills of relief personnel.

The first and second points are applicable to the pandemic cases. For instance, it is critical to shape a trade custom system to meet needs in the private sector with great flexibility when firms execute international conversion measures of production locations (1 in Table 3), production lines (2 in Table 3), and storage conversion (3 in Table 3). Trade restrictions may be loosened when businesses change their supply chains to produce goods, especially urgent medical equipment. Conversely, distribution channel conversion may prove difficult during the pandemic because human mobility is severely constrained. However, the visa requirements can be relaxed as a part of workforce skillset conversion so that foreign personnel can be assigned flexibly to distinct functions, enterprises, or supply chains. This relaxing visa for rapid response and recovery was implemented during the 2012 Thai flood. The directly-impacted Japanese companies operating in Thailand brought Thai employees to Japan to participate in alternative manufacturing with government support [48]. By September 2012, 5342 Thai laborers came to Japan through the program [48]. Additionally, the Thai government issued courtesy visas, which allowed Japanese employees to enter Thailand with fewer requirements to participate in recovery efforts at damaged businesses [48].

An additional policy recommendation is to set up a multilateral purchasing platform. African Medical Supply Platform (AMSP) is a prominent example [37]. AMSP aims to create an e-commerce platform similar to Amazon for African nations to address the challenges posed by the pandemic [49]. The platform engages with private sector suppliers in order to preserve competitive pricing and reliable deliveries of key medical equipment and vaccinations. Additionally, a review paper proposes a policy improving the information sharing of natural hazards and the pandemic as one of the policy recommendations [29]. The comprehensive, speedy, accurate information, such as pandemic infection status and weather warning, will help companies promptly convert their supply chains.

5. Challenges and limitations in implementing conversion strategies and future research directions

Although the COVID-19 pandemic has prompted many companies to critically analyze their supply chain and pursue a resilient strategy against natural hazards, implementation remains a major challenge due to the strong interconnectedness of companies within supply chains. The same is true for the implementation of conversion strategies such as those proposed in this paper. Therefore, we outline in this section some critical challenges in implementing conversion strategies.

The pandemic has clearly shown that the fragmentation of global value chains into small segments involving a large number of independent companies increases the risk of supply chain disruption. At the same time, this architecture also limits the scope for individual companies to implement conversion strategies. This is particularly true for the conversion of production sites and production lines. Global companies have built networks of specialized suppliers located in low-cost countries or with tailored skilled labor with years of experience. Converting production from these locations may result in higher costs and/or lower quality as the efficiency advantages tend to be lower compared to previously used locations. For example, subsidized reshoring initiatives by the U.S. and British government show that only a small number of manufacturers are interested in moving production back to their home base despite having a lower risk of disruptions due to shortened supply chains (cf. Vanchan, Mulhall [50]). In addition, the suppliers of globally dominant manufacturers are constrained by the manufacturers' market power to convert their production facilities or usage. Through their market power, manufacturers usually take control of their suppliers' business decisions [51].

The options of the conversion strategies should be thought in the complex of all actors involved in the supply chain network. In addition to companies, the role of the state should also be explored in the future research. Especially in the case of products and goods of national interest, companies' freedom of choice in implementing conversion strategies is limited. Regulations and the public interest in protecting intangible know-how or safeguarding jobs, for example, can hinder the conversion of production sites. Moreover, the industry sector should be considered when analyzing appropriate conversion strategies. It is plausible that industries with a less skilled workforce and more standardized production systems can be more easily converted than highly skilled and highly complex ones [52]. This is especially true for “workforce conversion.” Without a highly skilled workforce with a diverse skill set, firms may be limited in how they can convert their production. As part of their flexibility, therefore, companies must invest in workforce training.

Realistically, conversion strategies require a long-term commitment from companies facing supply chain disruptions to increase their flexibility and resilience, which could work against cost efficiency. This could be discussed in the context of transilience (i.e., a concept that describes a quick restoration of a system from a disruption with simultaneous transformation of its system [53]) and panarchy theory (i.e., a theory that enables the understanding of how a system tracks the progression of adaptive cycles across dimensions of time, space, and meaning [54,55]). Ultimately, the future research must examine whether companies are more sensitive to robust supply chains or whether short-term cost optimization will remain dominant in the globally connected economy despite the high likelihood of future supply chain disruptions due to disruptive events, such as climate change, trade disputes, and military conflicts.

6. Summary and conclusions

This article seeks to determine if a framework developed for addressing risks associated with natural hazards can be applied to the management of supply chain disruptions due to the pandemic. First, the paper contrasts supply chain disruptions caused by natural hazards and the pandemic. Damages, both direct and indirect, differ significantly as a result of these hazard types. The majority of direct damages caused by natural hazards are to physical assets, while the majority of direct damages caused by pandemics are to labor.

Second, in an effort to avoid systemic risks, the study suggests a novel taxonomy of conversion techniques in supply chain management. It proposes six types of conversion measures to manage supply chain disruptions caused by the pandemic: production location, production line, storage, usage, distribution channels, and workforce. In addition, the paper argues that policy supports in the trading sector, such as designing a flexible system for labor flows, communication strategies, and trade custom systems from the perspective of transilience, must support the conversion concept. Focusing only on increasing efficiency and reducing redundancies while neglecting flexibility and resilience would cause supply chain disruptions [56,57].

Just recently has knowledge and experiences about how businesses are responding to pandemics begun to accumulate. Resilience to systemic risks should include the understanding of common vulnerabilities to multiple hazards [4,21]. Future research must establish a new framework, building on such theories as panarchy theory and transilience, for analyzing measures and initiatives implemented during the pandemic.

Author contributions

MH and WS designed the research. MH, WS, and TN prepared the manuscript with contributions and feedback from MT.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

1

Repurposing and conversion are reciprocally used in this paper.

Data availability

No data was used for the research described in the article.

References

  • 1.Butt A.S. Strategies to mitigate the impact of COVID-19 on supply chain disruptions: a multiple case analysis of buyers and distributors. Int J Logist Manag. 2021 [Google Scholar]
  • 2.Ivanov D., Dolgui A. Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. Int J Prod Res. 2020;58(10):2904–2915. [Google Scholar]
  • 3.Renn O., et al. Systemic risks from different perspectives. Risk Anal. 2022;42(9):1902–1920. doi: 10.1111/risa.13657. [DOI] [PubMed] [Google Scholar]
  • 4.Pescaroli G., Alexander D. Understanding compound, interconnected, interacting, and cascading risks: a holistic framework. Risk Anal. 2018;38(11):2245–2257. doi: 10.1111/risa.13128. [DOI] [PubMed] [Google Scholar]
  • 5.Haraguchi M., Lall U., Watanabe K. Building private sector resilience: directions after the 2015 Sendai framework. J Dis Res. 2016;11(3):535. [Google Scholar]
  • 6.Hallegatte S. Disasters’ impacts on supply chains. Nat Sustainabil. 2019;2(9):791–792. [Google Scholar]
  • 7.Hu X., et al. Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector. Sustainability. 2019;11(7):1933. [Google Scholar]
  • 8.Haraguchi M., Lall U. Flood risks and impacts: a case study of Thailand’s floods in 2011 and research questions for supply chain decision making. Int J Dis Risk Reduct. 2015;14:256–272. [Google Scholar]
  • 9.Belhadi A., et al. Manufacturing and service supply chain resilience to the COVID-19 outbreak: lessons learned from the automobile and airline industries. Technol Forecast Soc Chang. 2020;163 doi: 10.1016/j.techfore.2020.120447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.McMaster M., et al. Risk management: rethinking fashion supply chain management for multinational corporations in light of the COVID-19 outbreak. J Risk Financ Manag. 2020;13(8):173. [Google Scholar]
  • 11.Belhouideg S. Impact of 3D printed medical equipment on the management of the Covid19 pandemic. Int J Health Plann Manag. 2020;35(5):1014–1022. doi: 10.1002/hpm.3009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Chang S.E., et al. Business recovery from disasters: lessons from natural hazards and the COVID-19 pandemic. Int J Dis Risk Reduct. 2022;80 doi: 10.1016/j.ijdrr.2022.103191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ivanov D. Supply chain viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies. Int J Prod Res. 2021:1–18. [Google Scholar]
  • 14.Economic Commission for Latin America and the Caribbean (ECLAC) COVID-19 Special Report. United Nations Economic Commission for Latin America and the Caribbean; 2020. Sectors and businesses facing COVID-19: emergency and reactivation. [Google Scholar]
  • 15.López-Gómez C., et al. United Nations Industrial Development Organization; 2020. COVID-19 critical supplies: the manufacturing repurposing challenge. [Google Scholar]
  • 16.World Bank . World Bank; 2020. Resilient industries: Competitiveness in the face of disasters. [Google Scholar]
  • 17.Moritz B. Supply chain disruptions and COVID-19. Supply Chain Manage Rev. 2020:27. [Google Scholar]
  • 18.Sheffi Y., Rice J.B., Jr. A supply chain view of the resilient enterprise. MIT Sloan Manag Rev. 2005;47(1):41. [Google Scholar]
  • 19.Simchi-Levi D. Find the weak link in your supply chain. Harv Bus Rev. 2015 [Google Scholar]
  • 20.Simchi-Levi D., Schmidt W., Wei Y. From superstorms to factory fires: managing unpredictable supply chain disruptions. Harv Bus Rev. 2014;92(1–2):96–101. [Google Scholar]
  • 21.Pescaroli G., et al. Managing systemic risk in emergency management, organizational resilience and climate change adaptation. Dis Prevent Manag Int J. 2022 [Google Scholar]
  • 22.World Bank . The World Bank; Washington, DC: 2020. Resilient Industries in Japan : Lessons Learned on Enhancing Competitive Industries in the Face of Disasters Caused by Natural Hazards. [Google Scholar]
  • 23.Kodaka A., et al. Industrial area business continuity management exercise: an experimental validation for flood in Thailand. J Dis Res. 2022;17(6):853–860. [Google Scholar]
  • 24.Neise T., et al. The effect of natural disasters on FDI attraction: a sector-based analysis over time and space. Nat Hazards. 2022;110(2):999–1023. [Google Scholar]
  • 25.Neise T., Diez J.R. Adapt, move or surrender? Manufacturing firms’ routines and dynamic capabilities on flood risk reduction in coastal cities of Indonesia. Int J Dis Risk Reduct. 2019;33:332–342. [Google Scholar]
  • 26.Stone J., Rahimifard S. Resilience in agri-food supply chains: A critical analysis of the literature and synthesis of a novel framework. Supply Chain Manag. 2018;23(3):207–238. [Google Scholar]
  • 27.Pettit T.J., Fiksel J., Croxton K.L. Ensuring supply chain resilience: development of a conceptual framework. J Bus Logist. 2010;31(1):1–21. [Google Scholar]
  • 28.Lam J.S.L., Bai X. A quality function deployment approach to improve maritime supply chain resilience. Transportat Res Part E: Logist Transport Rev. 2016;92:16–27. [Google Scholar]
  • 29.Baldwin R., Freeman R. Risks and global supply chains: what we know and what we need to know. Annual Rev Econom. 2022;14:153–180. [Google Scholar]
  • 30.Van Hoek R. Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. Int J Oper Prod Manag. 2020;40(4):341–355. [Google Scholar]
  • 31.Ishida S. Perspectives on supply chain management in a pandemic and the post-COVID-19 era. IEEE Eng Manag Rev. 2020;48(3):146–152. [Google Scholar]
  • 32.Mehrotra S., et al. A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19. Naval Research Logistics (NRL) 2020;67(5):303–320. doi: 10.1002/nav.21905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Song J.-A. Financial Times. Financial Times; Seoul, Korea: 2020. Samsung shifts some smartphone production to Vietnam due to coronavirus. [Google Scholar]
  • 34.Falcone E.C., Fugate B.S., Dobrzykowski D.D. Supply chain plasticity during a global disruption: effects of CEO and supply chain networks on operational repurposing. J Bus Logist. 2022;43(1):116–139. [Google Scholar]
  • 35.Ford Media Center . Ford Media Center; 2020. Ford Works with 3M, GE, UAW to Speed Production of Respirators for Healthcare Workers, Ventilators for Coronavirus Patients. [Google Scholar]
  • 36.Taylor D., et al. Modern Materials Handling. 2020. Demand disruption and channel-based supply chain flexibility: There's much to learn from the shortages of spring 2020. [Google Scholar]
  • 37.Haraguchi M., She W. Inclusive and Sustainable Industrial Development Working Paper Series. United Nations Industrial Development Organization; 2021. Managing supply chain disruptions: international arrangements and firm strategies for the future of industrialization in a post-pandemic world. [Google Scholar]
  • 38.TTI . 2020. TTI Coronavirus COVID-19 Statement. [Google Scholar]
  • 39.Rodriquez T., Beauregard M. ‘It was like whack-a-mole at First’: supply chain lessons learned from the trenches of 2020. Industry Week. 2021 https://www.industryweek.com/supply-chain/article/21154134/it-was-like-whackamole-at-first [Google Scholar]
  • 40.WARC . WARC. 2020. How Starbucks is using COVID-19 crisis to differentiate the brand. [Google Scholar]
  • 41.Li S. Sina Finance. 2020. Chinese-style resumption of work, what is a resilient supply chain [中国式复工,什么是韧性供应链] [Google Scholar]
  • 42.Weinmann Emergency Quer vernetzte Branchen: Mitarbeiter aus der Luftfahrt unterstützen WEINMANN Emergency bei der Produktion von Beatmungsgeräten. 2020. https://www.weinmann-emergency.com/de/news/news-presse/quer-vernetzte-branchen/ Available from:
  • 43.Nikkei staff writers . Nikkei Asia. 2020. COVID-hit Japanese companies send staff to others in need. Tokyo. [Google Scholar]
  • 44.Nikkei business daily . 2022. 70% of seconded employees return to ANA due to relaxation of border measures and recovery of demand [ANA, Shukosha 7 wari ga kinin, mizugiwataisaku kanwa jyuyokaifuku de], in Nikkei Sangyō Shinbun [Nikkei Industrial Journal] [Google Scholar]
  • 45.Shiraki M., Yuki N. Reuters. The Thomson Reuters; 2020. JAL to temporarily dispatch/second surplus personnel outside, KDDI consider accepting [Jaru, yojō jin’in o gaibu ni ichiji haken shukkō, KDDI ukeire kentō] [Google Scholar]
  • 46.Simchi-Levi D. Operations Rules for Driving Business Value & Growth: Part 1, Mitigating Business Risks from the Known-Unknown to the Unknown-Unknown. 2012. http://www.sctvchannel.com/webinars/videocast3.php Retrieved from The Supply Chain Digest website.
  • 47.Klau A., et al. World Trade Organization; 2019. Natural Disaters and trade: Study I. [Google Scholar]
  • 48.Hayakawa K., Matsuura T., Okubo F. Firm-level impacts of natural disasters on production networks: evidence from a flood in Thailand. J Japanese Int Econom. 2015;38:244–259. [Google Scholar]
  • 49.Donnenfeld Z. 2021. Central to Africa’s COVID-19 Response, the life-Saving Intervention is Significantly More Agile and Responsive than Governments; p. 2021. [Google Scholar]
  • 50.Vanchan V., Mulhall R., Bryson J. Repatriation or reshoring of manufacturing to the US and UK: dynamics and global production networks or from here to there and back again. Growth Chang. 2018;49(1):97–121. [Google Scholar]
  • 51.Coe N.M. Edward Elgar Publishing; 2021. Advanced introduction to global production networks. [Google Scholar]
  • 52.Bailey D., De Propris L. Manufacturing reshoring and its limits: the UK automotive case. Camb J Reg Econ Soc. 2014;7(3):379–395. [Google Scholar]
  • 53.Gatenholm G., Halldórsson Á. Eur Manag J. 2022. Responding to discontinuities in product-based service supply chains in the COVID-19 pandemic: towards transilience. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Wieland A. Dancing the supply chain: toward transformative supply chain management. J Supply Chain Manag. 2021;57(1):58–73. [Google Scholar]
  • 55.Pescaroli G., Alexander D. Critical infrastructure, panarchies and the vulnerability paths of cascading disasters. Nat Hazards. 2016;82(1):175–192. [Google Scholar]
  • 56.Golan M.S., et al. Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic. Ind Manag Data Syst. 2021;121(7):1723–1748. [Google Scholar]
  • 57.Golan M.S., Jernegan L.H., Linkov I. Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environ Syst Dec. 2020;40(2):222–243. doi: 10.1007/s10669-020-09777-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Haraguchi M. How can a municipal government continue operations during megadisasters? An analysis of preparedness using complex adaptive systems. Disaster Prevention and Management: An International Journal. 2020;29(5):779–792. [Google Scholar]
  • 59.Haraguchi M., Kim S. Critical infrastructure interdependence in New York City during Hurricane Sandy. Int J Disast Resilience Built Environ. 2016;7(2):133–143. [Google Scholar]

Associated Data

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

Data Availability Statement

No data was used for the research described in the article.


Articles from Progress in Disaster Science are provided here courtesy of Elsevier

RESOURCES