ABSTRACT
Affected by the COVID-19, the global manufacturing industry has been greatly impacted. In order to adapt to the current new normal of economy, the multi-value chain collaborative operation mode of power manufacturing industry has come into being. In order to deeply study the influencing factors of multi-value chain collaborative operation efficiency in power manufacturing industry, this paper constructs an influencing factors system in terms of management level, technology level and policy level, combines fuzzy interpretative structural model (FISM) with analytic network process (ANP) to develop an analysis model from both qualitative and quantitative perspectives. Accordingly, it is suggested that: power manufacturing enterprises should promote the construction of R&D-production-sales-logistics-services multi-chain collaboration;promote the construction of data space to realize the sharing of data and information;accelerate the development of digital operation mode under Industry 4.0;and build third-party platform to efficiently integrate upstream and downstream resources. © 2022 IEEE.