Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

doi:10.1007/s40436-019-00279-w

Advances in Manufacturing ›› 2019, Vol. 7 ›› Issue (4): 423-437.doi: 10.1007/s40436-019-00279-w

Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

Qing-Shan Gong^1,2, Hua Zhang¹, Zhi-Gang Jiang¹, Han Wang³, Yan Wang⁴, Xiao-Li Hu⁵

1 Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science & Technology, Wuhan 430081, People's Republic of China;
2 Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, Hubei, People's Republic of China;
3 Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science & Technology, Wuhan 430081, People's Republic of China;
4 School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK;
5 School of Mechanical Engineering, Shanghai Dianji University, Shanghai 201306, People's Republic of China

收稿日期:2019-02-18 修回日期:2019-04-19 出版日期:2019-12-25 发布日期:2019-12-26
通讯作者: Zhi-Gang Jiang E-mail:jiangzhigang@wust.edu.cn
基金资助:
The work described in this paper was supported by the Plateau Disciplines in Shanghai, the National Natural Science Foundation of China (Grant No. 51675388), the Educational Commission of Hubei Province (Grant No. Q20171804), and the Key Laboratory of Automotive Power Train and Electronics (Grant No. ZDK1201802). These financial contributions are gratefully acknowledged.

Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

Qing-Shan Gong^1,2, Hua Zhang¹, Zhi-Gang Jiang¹, Han Wang³, Yan Wang⁴, Xiao-Li Hu⁵

1 Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science & Technology, Wuhan 430081, People's Republic of China;
2 Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, Hubei, People's Republic of China;
3 Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science & Technology, Wuhan 430081, People's Republic of China;
4 School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK;
5 School of Mechanical Engineering, Shanghai Dianji University, Shanghai 201306, People's Republic of China

Received:2019-02-18 Revised:2019-04-19 Online:2019-12-25 Published:2019-12-26
Contact: Zhi-Gang Jiang E-mail:jiangzhigang@wust.edu.cn
Supported by:
The work described in this paper was supported by the Plateau Disciplines in Shanghai, the National Natural Science Foundation of China (Grant No. 51675388), the Educational Commission of Hubei Province (Grant No. Q20171804), and the Key Laboratory of Automotive Power Train and Electronics (Grant No. ZDK1201802). These financial contributions are gratefully acknowledged.

摘要/Abstract

摘要： Design for remanufacturing (DfRem) is the process of considering remanufacturing characteristics during product design in order to reduce the number of issues during the remanufacturing stage. This decisionmaking in DfRem is influenced by the designers' subjective preferences owing to a lack of explicitly defined remanufacturing knowledge for designers, which can lead to indecisive design schemes. In order to objectively select the optimal design scheme for remanufacturing, a nonempirical hybrid multi-attribute decision-making method is presented to alleviate the impacts of subjective factors. In this method, design characteristics and demand information are characterized through the matter-element theory. Coupled with design principles, some initial design schemes are proposed. Evaluation criteria are established considering the technical, economic, and environmental factors. The entropy weight and vague set are used to determine the optimal design scheme via a multi-attribute decisionmaking approach. The design of a bearing assembly machine for remanufacturing is taken as an example to illustrate the practicality and validity of the proposed method. The results revealed that the proposed method was effective in the decision-making of DfRem.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-019-00279-w

关键词: Design for remanufacturing (DfRem), Remanufacturing, Multi-attribute decision-making, Vague set, Entropy weight

Abstract: Design for remanufacturing (DfRem) is the process of considering remanufacturing characteristics during product design in order to reduce the number of issues during the remanufacturing stage. This decisionmaking in DfRem is influenced by the designers' subjective preferences owing to a lack of explicitly defined remanufacturing knowledge for designers, which can lead to indecisive design schemes. In order to objectively select the optimal design scheme for remanufacturing, a nonempirical hybrid multi-attribute decision-making method is presented to alleviate the impacts of subjective factors. In this method, design characteristics and demand information are characterized through the matter-element theory. Coupled with design principles, some initial design schemes are proposed. Evaluation criteria are established considering the technical, economic, and environmental factors. The entropy weight and vague set are used to determine the optimal design scheme via a multi-attribute decisionmaking approach. The design of a bearing assembly machine for remanufacturing is taken as an example to illustrate the practicality and validity of the proposed method. The results revealed that the proposed method was effective in the decision-making of DfRem.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-019-00279-w

Key words: Design for remanufacturing (DfRem), Remanufacturing, Multi-attribute decision-making, Vague set, Entropy weight

Qing-Shan Gong, Hua Zhang, Zhi-Gang Jiang, Han Wang, Yan Wang, Xiao-Li Hu. Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing[J]. Advances in Manufacturing, 2019, 7(4): 423-437.

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Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing

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