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A new environment-aware scheduling method for remanufacturing system with non-dedicated reprocessing lines using improved flower pollination algorithm
Affiliation:1. School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, 310027, China;2. School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China;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. 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
Abstract:As the resource crisis and environmental pollution become increasingly prominent, remanufacturing is currently a popular research field for addressing these issues. However, scheduling for remanufacturing is more difficult than that for traditional manufacturing because the entire remanufacturing system (RMS) involves three cooperative subsystems: disassembly, reprocessing, and reassembly. Few studies have focused on the scheduling of the entire RMS and addressed the quality differences of defective components using non-dedicated reprocessing lines. Thus, this paper proposes a new environment-aware scheduling model for RMS, which considers not only three subsystems simultaneously, but also the non-dedicated reprocessing lines related to the recycled quality of defective components. The proposed model also integrates environmental factors by considering the carbon emissions of machines to take advantage of the environmental benefits in remanufacturing. To solve the proposed model, an improved flower pollination algorithm with new two-dimensional representation scheme is employed, which not only utilizes the self-adaptive parameter but also integrates path relinking technique, local search strategy, and elite replacement strategy. Experiments are performed to illustrate the effectiveness of the proposed algorithm for solving the remanufacturing scheduling problem by comparing it with six baseline algorithms.
Keywords:Remanufacturing system  Remanufacturing scheduling  Environmental protection  Carbon emission  Non-dedicated reprocessing lines  Flower pollination algorithm
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