Variability modelling and balancing of stochastic assembly lines

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dc.contributor.authorPınarbaşı, Mehmet
dc.contributor.authorYüzükırmızı, Mustafa
dc.contributor.authorToklu, Bilal
dc.date.accessioned2019-05-10T09:38:54Z
dc.date.available2019-05-10T09:38:54Z
dc.date.issued2016
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractIn a production flow line with stochastic environment, variability affects the system performance. These stochastic nature of real-world processes have been classified in three types: arrival, service and departure process variability. So far, only service process – or task time – variation has been considered in assembly line (AL) balancing studies. In this study, both service and flow process variations are modelled along with AL balancing problem. The best task assignment to stations is sought to achieve the maximal production. A novel approach which consists of queueing networks and constraint programming (CP) has been developed. Initially, the theoretical base for the usage of queueing models in the evaluation of AL performance has been established. In this context, a diffusion approximation is utilised to evaluate the performance of the line and to model the variability relations between the work stations. Subsequently, CP approach is employed to obtain the optimal task assignments to the stations. To assess the effectiveness of the proposed procedure, the results are compared to simulation. Results show that, the procedure is an effective solution method to measure the performance of stochastic ALs and achieve the optimal balance. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.citationPınarbaşı, M., Yüzükırmızı, M., Toklu, B. (2016). Variability modelling and balancing of stochastic assembly lines. International Journal of Production Research, 54(19), 5761-5782.
dc.identifier.doi10.1080/00207543.2016.1177236
dc.identifier.endpage5782en_US
dc.identifier.issn0020-7543
dc.identifier.issue19en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage5761en_US
dc.identifier.urihttps://doi.org/10.1080/00207543.2016.1177236
dc.identifier.urihttps://hdl.handle.net/11491/538
dc.identifier.volume54en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofInternational Journal of Production Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectConstraint Programmingen_US
dc.subjectDiffusion Approximationen_US
dc.subjectQueueing Networksen_US
dc.subjectSimulationen_US
dc.subjectStochastic Assembly Line Balancingen_US
dc.subjectVariabilityen_US
dc.titleVariability modelling and balancing of stochastic assembly lines
dc.typeArticle

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