Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry

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dc.cclicenceCC-BY-NCen
dc.contributor.authorAntucheviciene, J.
dc.contributor.authorJafarnejad, A.
dc.contributor.authorAmoozad Mahdiraji, Hannan
dc.contributor.authorRazavi, S.H.
dc.contributor.authorKargar, A.
dc.date.acceptance2020-04-03
dc.date.accessioned2020-11-11T14:39:04Z
dc.date.available2020-11-11T14:39:04Z
dc.date.issued2020-04-08
dc.descriptionopen access articleen
dc.description.abstractIn the design of the supply chain, the use of the returned products and their recycling in the production and consumption network is called reverse logistics. The proposed model aims to optimize the flow of materials in the supply chain network (SCN), and determine the amount and location of facilities and the planning of transportation in conditions of demand uncertainty. Thus, maximizing the total profit of operation, minimizing adverse environmental effects, and maximizing customer and supplier service levels have been considered as the main objectives. Accordingly, finding symmetry (balance) among the profit of operation, the environmental effects and customer and supplier service levels is considered in this research. To deal with the uncertainty of the model, scenario-based robust planning is employed alongside a meta-heuristic algorithm (NSGA-II) to solve the model with actual data from a case study of the steel industry in Iran. The results obtained from the model, solving and validating, compared with actual data indicated that the model could optimize the objectives seamlessly and determine the amount and location of the necessary facilities for the steel industry more appropriately.en
dc.exception.ref2021codes254aen
dc.funderNo external funderen
dc.identifier.citationAntucheviciene, J., Jafarnejad, A., Amoozad Mahdiraji, H., Razavi Hajiagha, S. H., and Kargar, A. (2020) Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry. Symmetry, 12(4), 594.en
dc.identifier.doihttps://doi.org/10.3390/sym12040594
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20412
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherMDPIen
dc.subjectmulti-objective planningen
dc.subjectreverse supply chainen
dc.subjectrobust optimizationen
dc.subjectuncertaintyen
dc.subjectmeta-heuristic algorithmen
dc.subjectsteel making industryen
dc.titleRobust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industryen
dc.typeArticleen

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