Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making

dc.contributor.author Hu, Zhengyang
dc.contributor.author Parwani, Viren
dc.contributor.author Hu, Guiping
dc.contributor.author Hu, Guiping
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.contributor.department Bioeconomy Institute (BEI)
dc.date 2021-03-16T22:55:11.000
dc.date.accessioned 2021-04-30T08:46:24Z
dc.date.available 2021-04-30T08:46:24Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2021
dc.date.issued 2021-03-10
dc.description.abstract <p>The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model to deal with uncertain parameters in CLSCN. The two objective functions are minimization of overall system costs and minimization of negative environmental impact. Negative environmental impacts are measured and quantified through CO<sub>2</sub> equivalent emission. Uncertainties include demand, return, scrap rate, manufacturing cost and negative environmental factors. The original formulation with uncertain parameters is firstly converted into a crisp model and then an aggregation function is applied to combine the objective functions. Numerical experiments have been carried out to demonstrate the effectiveness of the proposed model formulation and solution approach. Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. This model can be applied to a variety of real-world situations, such as in the manufacturing production processes.</p>
dc.description.comments <p>This article is published as Hu, Zhengyang, Viren Parwani, and Guiping Hu. "Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making." <em>Logistics</em> 5, no. 1 (2021): 15. DOI: <a href="https://doi.org/10.3390/logistics5010015" target="_blank">10.3390/logistics5010015</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/imse_pubs/267/
dc.identifier.articleid 1268
dc.identifier.contextkey 22077611
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/267
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/105112
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/imse_pubs/267/2021_HuGuiping_ClosedLoop.pdf|||Fri Jan 14 23:03:55 UTC 2022
dc.source.uri 10.3390/logistics5010015
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Systems Engineering
dc.subject.keywords closed-loop supply chain network design
dc.subject.keywords fuzzy multi-objective decision making
dc.subject.keywords mixed integer linear programming
dc.title Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a9a9fb1b-4a43-4d73-9db6-8f93f1551c44
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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