Timing Decision for Active Remanufacturing Based on 3E Analysis of Product Life Cycle

Qingshan Gong, Yurong Xiong, Zhigang Jiang, Jinghong Yang and Chen Chen
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Qingshan Gong: College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
Yurong Xiong: College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
Zhigang Jiang: Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science & Technology, Wuhan 430081, China
Jinghong Yang: Manufacturing Technology Development Department, Dongfeng Commercial Vehicle Co., Ltd., Shiyan 442002, China
Chen Chen: College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China

Sustainability, 2022, vol. 14, issue 14, 1-12

Abstract: Active remanufacturing is an important technique that is used to reduce the uncertainty of the quality of remanufactured cores. However, the implementation of active remanufacturing too early or late will lead to a reduction in economic benefits and an increase in environmental impact during the whole life cycle of the product. To this end, an active-remanufacturing-timing decision method is proposed based on an economic, energy and environmental (3E) analysis of product life cycle. In this method, the quantitative function of the cost, energy consumption and environmental emissions of used products in the manufacturing stage, service stage, and remanufacturing stage are firstly constructed based on life-cycle assessment (LCA) and life-cycle cost (LCC). Then, a multi-objective optimization method and the particle swarm algorithm are utilized to obtain active-remanufacturing timing with the optimal economic and environmental benefits of remanufacturing. Finally, a case study on remanufacturing on used engines is demonstrated to validate the proposed method.

Keywords: active remanufacturing; 3E analysis; LCA; LCC; multi-objective optimization; particle swarm algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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