ABSTRACT
As the resource crisis and environmental pollution become much dangerous, the manufacturing industry must maintain its competitiveness while achieving sustainable development. Remanufacturing to produce products needed for economic growth under the condition of saving resources and energy is an effective way to build a resource-saving and environment-friendly society. The unreasonable disposal of waste auto parts not only wastes a lot of resources but destroys the ecological environment and economic development. Clarifying the influence of influencing factors on purchasing behavior is expected to be widely promoted in the remanufacturing industry and promote the sustainable development of China's remanufacturing industry. In nonparametric regression, how to reduce the dimension of the independent variable vector and extract the sufficient information is a significant problem. Based on the research of the remanufactured automobile engine's product characteristics, combined with slice inverse regression method, this paper identifies the influencing factors of consumers' purchase of remanufactured parts and constructs a theoretical model of consumer acceptance of remanufactured parts
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Index Terms
- Construction and Empirical Analysis of Remanufactured Parts Acceptance Degree System Based on Slice Inverse Regression Method
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