A fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functions

Basit Öğe Kaydı
dc.contributor.authorPaksoy, Turan
dc.contributor.authorPehlivan, Nimet Yapici
dc.date.accessioned2020-03-26T18:23:29Z
dc.date.available2020-03-26T18:23:29Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractSupply chain management (SCM) is concerned with a complex business relations network that contains interrelationships between various entities, such as suppliers, manufacturers, distribution centers and customers. SCM integrates these entities and manages their interrelationships through the use of information technology to meet customer expectations (i.e., higher product variety and quality, lower costs and faster responses) effectively along the entire value chain. Thus, one of the vital issues in supply chain management is the design of the value chain network. In this paper, a fuzzy linear programming model for the optimization of the multi-stage supply chain model with triangular and trapezoidal membership functions is presented. The model determines the fuzzy capacities of the facilities (plants or distribution centers (DCs)) and the design of the network configuration with a minimum total cost. The total cost involves the shipping cost from suppliers; transportation costs between plants and DCs; distribution costs between DCs and customer zones; and opportunity costs from not having the material at the right time. The developed model is solved by a professional software package (LINDO), and the computational results are discussed. (C) 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThe authors would like to thank the editor-in-chief and anonymous referees for their suggestions and comments that led to a significant improvement of this paper. This paper is supported by Selcuk University Scientific Research Fund (BAP).en_US
dc.identifier.doi10.1016/j.jfranklin.2011.10.006en_US
dc.identifier.endpage109en_US
dc.identifier.issn0016-0032en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage93en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.jfranklin.2011.10.006
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27665
dc.identifier.volume349en_US
dc.identifier.wosWOS:000299654400006en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofJOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleA fuzzy linear programming model for the optimization of multi-stage supply chain networks with triangular and trapezoidal membership functionsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu