A hybrid simulation optimization method for production planning of dedicated remanufacturing |
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| Authors: | Jianzhi Li Miguel González Yun Zhu |
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| Institution: | 1. Department of Management Science and Engineering, School of Business, East China University of Science and Technology, Shanghai 200237, China;2. Department of Mathematics, East China University of Science and Technology, Shanghai 200237, China;1. School of Economics & Management, Tongji University, Shanghai 200092, China;2. Odette School of Business, University of Windsor, Windsor, Ontario N9B 3P4, Canada;3. Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200052, China;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. College of Engineering and Technology, Southwest University, Chongqing 400715, China;4. Institute of Mechanical and Manufacturing Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, United Kingdom;1. College of Business Administration, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea;2. Industrial Engineering, School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA;3. Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA;1. Politecnico di Milano, Department of Mechanical Engineering, Via la Masa, 1, 20156 Milan, Italy;2. ITIA-CNR, Institute of Industrial Technologies and Automation, Via Bassini 15, 20133 Milan, Italy;3. Ecole Centrale de Nantes, 1, rue de la Noë, 92101 Nantes, France;4. The University of New South Wales, School of Mechanical and Manufacturing Engineering, 2052 Sydney, Australia;5. TU Berlin — Institute for Machine Tools and Factory Management, Pascalstr. 8–9, 10587 Berlin, Germany;6. KU Leuven, Celestijnenlaan, 300, 2422 3001 Heverlee, Leuven, Belgium;7. Institut Supérieur de l’Aéronautique et de l’Espace, ISAE-Supaéro, Toulouse, France;8. School of Creative Science and Engineering, Waseda University, Tokyo, Japan;1. Newcastle Business School, Northumbria University, Newcastle NE1 8ST, UK;2. School of Economics and Business Administration, Chongqing University, 174 Shazhengjie, Chongqing 400044, PR China |
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| Abstract: | This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA |
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