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Scientific Article details

Title Literature review: Strategic network optimization models in waste reverse supply chains
ID_Doc 8321
Authors Van Engeland, J; Beliën, J; De Boeck, L; De Jaeger, S
Title Literature review: Strategic network optimization models in waste reverse supply chains
Year 2020
Published
DOI 10.1016/j.omega.2018.12.001
Abstract 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. (C) 2018 Elsevier Ltd. All rights reserved.
Author Keywords Supply chain management; Reverse logistics; Strategic network design; Optimization model; Waste management
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000501412200005
WoS Category Management; Operations Research & Management Science
Research Area Business & Economics; Operations Research & Management Science
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