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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Qingshan Gong & Yurong Xiong & Zhigang Jiang & Jinghong Yang & Chen Chen, 2022. "Timing Decision for Active Remanufacturing Based on 3E Analysis of Product Life Cycle," Sustainability, MDPI, vol. 14(14), pages 1-12, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8749-:d:865013
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    References listed on IDEAS

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    1. Feng Ma & Hua Zhang & Qingshan Gong & K. K. B. Hon, 2021. "A novel energy efficiency grade evaluation approach for machining systems based on inherent energy efficiency," International Journal of Production Research, Taylor & Francis Journals, vol. 59(19), pages 6022-6033, October.
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    Cited by:

    1. Qingshan Gong & Chen Chen & Zhigang Jiang & Yurong Xiong & Mingmao Hu & Jinghong Yang, 2022. "A Green Design Method for a Rust-Off Machine Based on QFDE and Function Analysis," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    2. Qingshan Gong & Yurong Xiong & Zhigang Jiang & Xugang Zhang & Mingmao Hu & Zhanlong Cao, 2022. "Economic, Environmental and Social Benefits Analysis of Remanufacturing Strategies for Used Products," Mathematics, MDPI, vol. 10(21), pages 1-20, October.

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