| external environment factors (EEF) |
national policy orientation (ZC) |
purchase
NEVs and enjoy national and local policy subsidies (ZC1) |
| exemption of vehicle and ship tax and purchase tax for
the purchase of NEVs (ZC2) |
| NEV IM enterprises
enjoy high-tech tax preference (ZC3) |
| unrestricted
travel and purchase of NEVs (ZC4) |
| product market demand (SC) |
NEV product model diversity
(SC1) |
| NEV IM product portfolio relevance
(SC2) |
| intelligent degree of NEV products
(SC3) |
| industry competition pressure
(JZ) |
competitive pressure of traditional fuel vehicles
(JZ1) |
| competitive pressure of foreign enterprises
and joint ventures (JZ2) |
| improvement in the
IM level of new energy automobile industry (JZ3) |
| improvement in the cost control ability of IM of NEVs (JZ4) |
| commonalities among the NEV enterprises
(CANE) |
IM development security (AQ) |
IM information system and data security (AQ1) |
| equipment functional safety for IM (AQ2) |
| personnel safety in all links of IM (AQ3) |
| IM development reliability (KK) |
plan, organize, coordinate, and supervise the IM system (KK1) |
| guide and verify the IM system in terms of technical
methods (KK2) |
| effective detection of IM system
and products (KK3) |
| IM development
stability (WD) |
establish an index system to evaluate
the performance and results of IM implementation (WD1) |
| evaluation standard for maturity of IM capability (WD2) |
| implementation strategy of IM development and improvement
of IM ability (WD3) |
| industry
progress (IP) |
IM plant (GC) |
modeling and simulation for the overall design of the NEV manufacturing
plant (GC1) |
| digital management of the NEV
manufacturing plant construction process (GC2) |
| establish a big data management platform for the NEV IM industry
(GC3) |
| Intelligent product design
(SJ) |
digital design and simulation of NEVs with computer-aided
tools (SJ1) |
| establish PDM of an NEV product
data management system (SJ2) |
| product life
cycle management for NEVs (SJ3) |
| IM process (LC) |
simulation of the NEV production process
with computer-aided tools (LC1) |
| automatic
production line has been equipped with IM equipment such as industrial
robots (LC2) |
| intelligent recognition and
sensing are widely used in manufacturing (LC3) |
| making full use of the human–computer interaction system for
data and information processing in a manufacturing process (LC4) |
| intelligent technology innovation (JS) |
high proportion of R&D investment in the IM technology
of NEVs (JS1) |
| high proportion of innovative
R&D personnel for the IM of NEVs (JS2) |
| AI is widely used in innovative design, collaborative research, and
development (JS3) |
| intelligent
production management (GL) |
using an ERP system to optimize
the resource management of the NEV IM enterprise (GL1) |
| establish an MES system to realize the whole process management
of IM of NEVs (GL2) |
| using industrial big
data, 5G, and cloud platform to provide intelligent decision-making
for business management (GL3) |
| IM development ability (ZZ) |
intelligent level of NEVs (ZZ1) |
| IM of NEVs
to reduce costs and increase efficiency (ZZ2) |
| shorten R & D cycle of NEV new products (ZZ3) |
| enterprises can perceive the IM information of NEVs and optimize
the precise implementation in time (ZZ4) |
