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Product Design Scheme Generation and Optimization Decisions While Considering Remanufacturability

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  • Shixiong Xing

    (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
    School of Electromechanical and Automobile Engineering, Huanggang Normal University, Huanggang 438000, China)

  • Zhigang Jiang

    (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
    Precision Manufacturing Institute, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Xugang Zhang

    (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China
    Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Yan Wang

    (School of Architecture, Technology and Engineering, University of Brighton, Brighton BN2 4GJ, UK)

Abstract

Social awareness of the environment has promoted the vigorous development of remanufacturing. Traditional product design does not consider the remanufacturability, which leads to improper disposal at the end of the product’s life, resulting in environmental pollution and resource waste. In this paper, a method for the generation and optimization of product design schemes was established, in which remanufacturability was included at the early design stage of the product. Firstly, based on axiomatic design, the Z-shaped mapping was upgraded to the tree topology mapping, which was then incorporated into the scheme generation model, and seven remanufacturability design constraint criteria were used as constraints to obtain a product design set of scenarios. Secondly, the entropy weight method and analytic hierarchy process were combined to calculate the weights of the four evaluation indicators: functionality, economy, stability, and environment; and a differential evolution algorithm was used to optimize the scheme. Finally, a lathe was taken as a case to illustrate the applicability and effectiveness of the proposed methodology. The results showed that the method could successfully generate product design schemes that improved remanufacturability and met the needs of users.

Suggested Citation

  • Shixiong Xing & Zhigang Jiang & Xugang Zhang & Yan Wang, 2022. "Product Design Scheme Generation and Optimization Decisions While Considering Remanufacturability," Mathematics, MDPI, vol. 10(14), pages 1-26, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:14:p:2477-:d:864204
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    References listed on IDEAS

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    1. Wu, Cheng-Han, 2012. "Product-design and pricing strategies with remanufacturing," European Journal of Operational Research, Elsevier, vol. 222(2), pages 204-215.
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