Systems dynamics modelling of a manufacturing supply chain system

Basit Öğe Kaydı
dc.authorid0000-0003-3127-9027en_US
dc.contributor.authorOzbayrak, Mustafa
dc.contributor.authorPapadopoulou, Theopisti C.
dc.contributor.authorAkgün, Melek
dc.contributor.authorAkgün, Melek
dc.date.accessioned2024-07-12T21:44:09Z
dc.date.available2024-07-12T21:44:09Z
dc.date.issued2007en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractSupply chains are multifaceted structures focusing on the integration of all the factors involved in the overall process of production and distribution of end products to the customers. Growing interest in supply chain systems has highlighted the need to adopt appropriate approaches that can ensure the efficient management of their complexity, enormity and broadness of scope. With the main aim of supply chain management being to optimise the performance Of Supply chains, attention is mainly drawn to the development of modelling frameworks that call be utilised to analyse and comprehend the dynamic behaviour of supply chains. While there have been only a few supply chain modelling attempts reported in the literature, this paper proposes a modelling framework that is used to simulate the operation of a supply chain network of moderate complexity. The proposed model comprises four echelons and is build around a central medium-sized manufacturing company operating as a typical Make-to-Order (MTO) system. The developed model was built using a systems dynamics (SD) approach. The operations performed within a supply chain are a function of a great number of key variables which often seem to have strong interrelationships. The ability of understanding the network as a whole, analysing the interactions between the various components of the integrated system and eventually supplying feedback without decomposing it make systems dynamics ail ideal methodology for modelling supply chain networks. The objective of the paper is to model the operation of the supply chain network under study and obtain a true reflection of its behaviour. The modelling framework is also used to study the performance of the system under the initial conditions considered and compare it with that obtained by running the system under eight different scenarios concerning commonly addressed real-life operational conditions. The modelling effort has focused oil measuring the supply chain system performance ill terms of key metrics such as inventory, WIP levels, backlogged orders and customer satisfaction at all four echelons. The study concludes with the analysis of the obtained results and the conclusions drawn from contrasting the system's performance under each investigated scenario to that of the benchmark model. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.simpat.2007.09.007
dc.identifier.endpage1355en_US
dc.identifier.issn1569-190X
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-36049005254en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1338en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.simpat.2007.09.007
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7679
dc.identifier.volume15en_US
dc.identifier.wosWOS:000251721900009en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofSIMULATION MODELLING PRACTICE AND THEORYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY03414
dc.subjectmanufacturing supply chainen_US
dc.subjectsystems dynamicsen_US
dc.subjectsimulation modellingen_US
dc.subjectmake-to-order systemsen_US
dc.titleSystems dynamics modelling of a manufacturing supply chain systemen_US
dc.typeArticle
dspace.entity.typePublication

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu