Hybrid Petri-nets for modeling and performance evaluation of supply chains

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dc.citation.epage4656en_US
dc.citation.issueNumber15en_US
dc.citation.spage4627en_US
dc.citation.volumeNumber49en_US
dc.contributor.authorKhilwani, N.en_US
dc.contributor.authorTiwari, M.en_US
dc.contributor.authorSabuncuoglu, I.en_US
dc.date.accessioned2015-07-28T11:59:53Z
dc.date.available2015-07-28T11:59:53Z
dc.date.issued2011en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractModelling and analysis of complex and co-ordinated supply chains is a crucial task due to its inherent complexity and uncertainty. Therefore, the current research direction is to devise an efficient modelling technique that maps the dynamics of a real life supply chain and assists industrial practitioners in evaluating and comparing their network with other competing networks. Here an effective modelling technique, the hybrid Petri-net, is proposed to efficiently handle the dynamic behaviour of the supply chain. This modelling methodology embeds two enticing features, i.e. cost and batch sizes, in deterministic and stochastic Petri-net for the modelling and performance evaluation of supply chain networks. The model is subsequently used for risk management to investigate the issues of supply chain vulnerability and risk that has become a major research subject in recent years. In the test bed, a simple productive supply chain and an industrial supply chain are modelled with fundamental inventory replenishment policy. Subsequently, its performance is evaluated along with the identification and assessment of risk factors using analytical and simulation techniques respectively. Thus, this paper presents a complete package for industrial practitioners to model, evaluate performance and manage risky events in a supply chain.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T11:59:53Z (GMT). No. of bitstreams: 1 10.1080-00207543.2010.497173.pdf: 1089019 bytes, checksum: 80e8f0c53adb8d26f576da7c0de3bf83 (MD5)en
dc.identifier.doi10.1080/00207543.2010.497173en_US
dc.identifier.eissn1366-588X
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11693/12063
dc.language.isoEnglishen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttp://dx.doi.org/ 10.1080/00207543.2010.497173en_US
dc.source.titleInternational Journal of Production Researchen_US
dc.subjectPetri-netsen_US
dc.subjectSupply chain networksen_US
dc.subjectRisk managementen_US
dc.subjectSimulation techniqueen_US
dc.subjectHybrid Petri-neten_US
dc.titleHybrid Petri-nets for modeling and performance evaluation of supply chainsen_US
dc.typeArticleen_US

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