Remanufacturability evaluation method and application for used engineering machinery parts based on fuzzy-EAHP |
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| Affiliation: | 1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China;2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;3. Green Fan Manufacturing Collaborative Innovation Center in Hubei Province, Wuchang Institute of Technology, Wuhan 430065, China;1. School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning, China;2. Department of Industrial Engineering, Texas Tech University, Lubbock, TX, USA;3. Department of Industrial Engineering, Andalas University, Indonesia;1. School of Mechanical Engineering & Automation, Beihang University, China;2. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China;3. School of Cyber Security, University of Chinese Academy of Sciences; State Key Laboratory of Information Security, Institute of Information Engineering, Beijing, China;1. Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology De Zaale, 5600 MB, Eindhoven, The Netherlands;2. Equipment and Automation Technologies (E&A), Nexperia Jonkerbosplein 52, 6534 AB, Nijmegen, The Netherlands;1. Industrial Engineering, University at Buffalo, Buffalo, NY, 14260 USA;2. School of Computing Informatics & Decision Systems Engineering, Arizona State University, Tempe, AZ, 85251 USA;3. Alta Devices Inc. Sunnyvale, CA 94085 USA;4. Computer Science and Engineering, University at Buffalo, Buffalo, NY, 14260 USA;1. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science & Technology, Wuhan, 430081, China;2. Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science & Technology, Wuhan, 430081, China;3. School of Engineering, Deakin University, Geelong, Victoria, 3216, Australia;4. Department of Computing, Engineering and Mathematics, University of Brighton, Brighton, BN2 4GJ, United Kingdom |
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| Abstract: | Remanufacturing is an important mode to promote the sustainable development of manufacturing industry. Remanufacturing mechanical components at the best recycling time can effectively reduce the remanufacturing cost and improve the remanufacturing efficiency. Therefore, the decision-making model of optimal recycling time based on full lifecycle assessment and full lifecycle cost method was firstly established to analyze and model the energy consumption, cost and emission of components in the original manufacturing, usage, remanufacturing and reuse stages. Then, a remanufacturing evaluation method based on fuzzy extension analytic hierarchy process was proposed. Considering a variety of uncertainties of waste components, a qualitative and quantitative evaluation index system was established, and the weight of each evaluation index was determined by expert evaluation and fuzzy comprehensive evaluation method. Finally, a boom cylinder of a concrete pump truck was studied. The boom cylinder recovered by the method proposed has a high recovery value, and its comprehensive score reaches 70, which verifies the effectiveness and superiority of the model. |
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| Keywords: | Fuzzy-EAHP Comprehensive evaluation Remanufacturing Engineering machinery parts |
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