A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques

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dc.contributor.authorBayram, Hüsamettin
dc.contributor.authorŞahin, Ramazan
dc.date.accessioned2019-05-13T08:57:19Z
dc.date.available2019-05-13T08:57:19Z
dc.date.issued2016
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractConsidering the ever changing market conditions, it is essential to design responsive and flexible manufacturing systems. This study addresses the multi-period Dynamic Cellular Manufacturing System (DCMS) design problem and introduces a new mathematical model. The objective function of the mathematical model considers inter-cell and intra-cell material handling, machine purchasing, layout reconfiguration, variable and constant machine costs. Machine duplication, machine capacities, operation sequences, alternative processing routes of the products, varying demands of products and lot splitting are among the most important issues addressed by the mathematical model. It makes decisions on many system related issues, including cell formation, inter- and intra-cell layout, product routing and product flow between machines. Due to the complexity of the problem, we suggest two heuristic solution approaches that combine Simulated Annealing (SA) with Linear Programming and Genetic Algorithm (GA) with Linear Programming. The developed approaches were tested using a data set from the literature. In addition, randomly generated test problems were also used to investigate the performance of the hybrid heuristic approaches. A problem specific lower bound mathematical model was also proposed to observe the solution quality of the developed approaches. The suggested approaches outperformed the previous study in terms of both computational time and the solution quality by reducing the overall system cost. © 2015 Elsevier Ltd. All rights reserved.
dc.identifier.citationBayram, H., Şahin, R. (2016). A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques. Computers and Industrial Engineering, 91(1), 10-29.
dc.identifier.doi10.1016/j.cie.2015.10.014
dc.identifier.endpage29en_US
dc.identifier.issn0360-8352
dc.identifier.scopusqualityQ1
dc.identifier.startpage10en_US
dc.identifier.urihttps://doi.org/10.1016/j.cie.2015.10.014
dc.identifier.urihttps://hdl.handle.net/11491/899
dc.identifier.volume91en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofComputers and Industrial Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCell Formationen_US
dc.subjectDynamic Cellular Manufacturing System Designen_US
dc.subjectGenetic Algorithmen_US
dc.subjectGroup Layouten_US
dc.subjectLinear Programmingen_US
dc.subjectSimulated Annealingen_US
dc.titleA comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques
dc.typeArticle

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