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dc.contributor.authorYu, Hao
dc.contributor.authorSolvang, Wei Deng
dc.date.accessioned2018-03-01T14:19:55Z
dc.date.available2018-03-01T14:19:55Z
dc.date.issued2018-02-11
dc.description.abstractThe study of the network design problems related to reverse supply chain and reverse logistics is of great interest for both academicians and practitioners due to its important role for a sustainable society. However, reverse logistics network design is a complex decision-making problem that involves several interactive factors and faces many uncertainties. Thus, in order to improve the reverse logistics network design, this paper proposes a new optimization model under stochastic environment and an improved solution method for network design of a multi-stage multi-product reveres supply chain. The study is presented in a series of two parts. Part I presents the relevant literature and formulates a stochastic mixed integer linear programming (MILP) for improving the decision-making of the reverse logistics network design. Part II improves the solution method for the proposed stochastic programming and illustrates the application through a numerical experimentation.en_US
dc.descriptionEmbargoed access. Author's post-print on any open access repository after 12 months after publication. Link to publisher's version: <a href=https://doi.org/10.1007/978-981-10-5768-7_46>https://doi.org/10.1007/978-981-10-5768-7_46</a>en_US
dc.identifier.citationYu H, Solvang WD. Improving the Decision-making of Reverse Logistics Network Design Part I: A MILP Model under Stochastic Environment. In: Wang K., Wang Y., Strandhagen J., Yu T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering vol 451. Springer, Singaporeen_US
dc.identifier.cristinIDFRIDAID 1490573
dc.identifier.doi10.1007/978-981-10-5768-7_46
dc.identifier.issn1876-1100
dc.identifier.issn1876-1119
dc.identifier.urihttps://hdl.handle.net/10037/12237
dc.language.isoengen_US
dc.relation.ispartofseriesLecture Notes in Electrical Engineering, vol 451.en_US
dc.relation.journalLecture Notes in Electrical Engineering
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-981-10-5768-7_46
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Technology: 500en_US
dc.titleImproving the Decision-making of Reverse Logistics Network Design Part I: A MILP Model under Stochastic Environmenten_US
dc.typePeer revieweden_US
dc.typeBokkapittelno
dc.typeBooken_US
dc.typeBokno
dc.typeChapteren_US


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