Optimising reverse logistics network to support policy-making in the case of Electrical and Electronic Equipment |
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| Authors: | Ch Achillas Ch Vlachokostas D Aidonis Ν Moussiopoulos E Iakovou G Banias |
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| Institution: | 1. Laboratory of Heat Transfer and Environmental Engineering, Aristotle University Thessaloniki, Box 483, 54124 Thessaloniki, Greece;2. Logistics Department, Alexander Technological Educational Institute, Box 141, 57400 Thessaloniki, Greece;3. Laboratory of Quantitative Analysis, Logistics and Supply Chain Management, Aristotle University Thessaloniki, 54124 Thessaloniki, Greece;1. School of Business Administration, South China University of Technology, Guang Zhou, 510640, China;2. Department of Economics and Decision Sciences, China-Europe International Business School (CEIBS), 699 Hong Feng Road, Pudong, Shanghai, China;3. Eli Broad College of Business, Michigan State University, East Lansing, MI 48824, USA;1. Centre for Sustainable Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Odense, Denmark;2. Department Information Technology Management, Faculty of Management, Kharazmi University, Tehran, Iran;1. Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, Gujarat, India;2. Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, 110016, India;1. School of Economics and Management, China University of Petroleum(east China), Qingdao, 266580, PR China;2. Center for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Odense M, Denmark;3. Department of Operational Research, University of Delhi, Delhi, India;4. School of Mathematics, Devi Ahilya University, Indore, M.P., India;5. Bhavan''s Usha & Lakshmi Mittal Institute of Management, K. G. Marg, New Delhi, India;1. Marmara University, Department of Industrial Engineering, 34722 Göztepe, ?stanbul, Turkey;2. Istanbul Technical University, Department of Industrial Engineering, 34367 Maçka, ?stanbul, Turkey |
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| Abstract: | Due to the rapid growth of Waste Electrical and Electronic Equipment (WEEE) volumes, as well as the hazardousness of obsolete electr(on)ic goods, this type of waste is now recognised as a priority stream in the developed countries. Policy-making related to the development of the necessary infrastructure and the coordination of all relevant stakeholders is crucial for the efficient management and viability of individually collected waste. This paper presents a decision support tool for policy-makers and regulators to optimise electr(on)ic products’ reverse logistics network. To that effect, a Mixed Integer Linear Programming mathematical model is formulated taking into account existing infrastructure of collection points and recycling facilities. The applicability of the developed model is demonstrated employing a real-world case study for the Region of Central Macedonia, Greece. The paper concludes with presenting relevant obtained managerial insights. |
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