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A bi-level evolutionary optimization approach for integrated production and transportation scheduling
Affiliation:1. Business School, Sichuan University, Chengdu 610065, PR China;2. Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, PR China;3. Department of Industrial and System Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA;1. Faculty of Business Economics, Hasselt University, Belgium;2. Department of Computer Science, Central University Las Villas, Cuba;3. Department of Computer Engineering, Technological Education Institute of Central Greece, Greece;1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton T6R 2V4, Canada;2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;4. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, PR China;1. School of Information Technology, Jiangxi University of Finance and Economics, PR China;2. Institute of Operational Research and Cybernetics, Hangzhou Dianzi University, Hangzhou 310018, PR China
Abstract:This paper investigates an integrated production and transportation scheduling (IPTS) problem which is formulated as a bi-level mixed integer nonlinear program. This problem considers distinct realistic features widely existing in make-to-order supply chains, namely unrelated parallel-machine production environment and product batch-based delivery. An evolution-strategy-based bi-level evolutionary optimization approach is developed to handle the IPTS problem by integrating a memetic algorithm and heuristic rules. The efficiency and effectiveness of the proposed approach is evaluated by numerical experiments based on industrial data and industrial-size problems. Experimental results demonstrate that the proposed approach can effectively solve the problem investigated.
Keywords:Supply chain scheduling  Production and distribution  Bi-level programming  Bi-level evolutionary algorithm
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