A simulation-based genetic algorithm approach for the simultaneous consideration of reverse logistics network design and disassembly line balancing with sequencing

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dc.contributor.authorTasoglu G.
dc.contributor.authorIlgin M.A.
dc.date.accessioned2024-07-22T08:02:07Z
dc.date.available2024-07-22T08:02:07Z
dc.date.issued2024
dc.description.abstractReverse logistics (RL) network design and disassembly line balancing (DLB) decisions are generally considered separately. In addition, the effect of disassembly sequencing on DLB is ignored. However, companies can take better-informed decisions by simultaneously considering RL, DLB and disassembly sequencing issues. This integrated approach results in more efficient processes which reduce cost and idle time, while maximizing throughput and customer satisfaction. In this study, we propose a simulation-based genetic algorithm approach for the joint optimization of RL network design and DLB with sequencing decisions. The use of simulation modeling allows for the consideration of stochastic aspects associated with RL and DLB such as transportation and disassembly times. A numerical example was provided to present the applicability of the proposed approach. Moreover, a sensitivity analysis was carried out to study the impact of various parameters. The results indicate the superior performance of the proposed approach with respect to total cost. © 2023 Elsevier Ltd
dc.identifier.DOI-ID10.1016/j.cie.2023.109794
dc.identifier.issn03608352
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/11729
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectCustomer satisfaction
dc.subjectSensitivity analysis
dc.subjectStochastic systems
dc.subjectDisassembly line balancing
dc.subjectDisassembly sequencing
dc.subjectGenetic algorithm approach
dc.subjectInformed decision
dc.subjectIntegrated approach
dc.subjectNetwork design
dc.subjectReverse logistics
dc.subjectReverse logistics network design
dc.subjectSequencing
dc.subjectSimulation
dc.subjectGenetic algorithms
dc.titleA simulation-based genetic algorithm approach for the simultaneous consideration of reverse logistics network design and disassembly line balancing with sequencing
dc.typeArticle

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