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Omega-International Journal Of Management Science

Publication date: 2020-03-01
Volume: 91
Publisher: Elsevier

Author:

Van Engeland, Jens
Belien, Jeroen ; De Boeck, liesje ; De Jaeger, Simon

Keywords:

Social Sciences, Science & Technology, Technology, Management, Operations Research & Management Science, Business & Economics, Supply chain management, Reverse logistics, Strategic network design, Optimization model, Waste management, MUNICIPAL SOLID-WASTE, FACILITY LOCATION MODEL, FUZZY MULTIOBJECTIVE OPTIMIZATION, ELECTRONIC EQUIPMENT WEEE, GOAL PROGRAMMING-MODEL, DROP-OFF STATIONS, LOGISTICS NETWORK, PRODUCT RECOVERY, ROUTING PROBLEM, STOCHASTIC OPTIMIZATION, 0102 Applied Mathematics, 1503 Business and Management, 1505 Marketing, Operations Research, 3503 Business systems in context, 3507 Strategy, management and organisational behaviour

Abstract:

© 2018 Elsevier Ltd In scientific literature two large, partly overlapping areas regarding the environmental and economical attractive removal of waste coexist: reverse logistics and waste management. Both fields study, among other topics, the flows of discarded products leaving the end consumer. This review takes an integrated point of view on reverse logistics and waste management and aims at a better integration. More specifically, it gives a concise but complete overview of the efforts already performed in the area of strategic network design in waste reverse supply chains by means of combinatorial optimization models. Its purpose is to guide interested readers and researchers directly to publications of their interest, and let them identify courses other than the well-worn paths. Among others, we explicitly refer to (1) the importance of environmental, social and performance indicators in multi-objective models, (2) the potential of incorporating the different waste reverse supply chain stakeholders into the network design model, (3) the consideration of future waste reverse supply chain developments like extended producer responsibility schemes and the circular economy and their challenges, and (4) better heuristics to deal with the increasingly complex strategic network design models.