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dc.contributor.authorDutta, Goutham
dc.contributor.authorGupta, Narain
dc.contributor.authorTiwari, Manoj K.
dc.date.accessioned2018-05-09T05:49:55Z
dc.date.available2018-05-09T05:49:55Z
dc.date.issued2018-04-24
dc.identifier.urihttp://hdl.handle.net/11718/20688
dc.descriptionInternational Journal of Production Research Volume 56, 2018 - Issue 17en_US
dc.description.abstractWe introduce a menu-driven user-friendly decision support system (DSS) for supply chain planning based on optimisation. The DSS is based on a multi-source (supplier), multi-destination (warehouse) network having multiple manufacturing facilities, with multiple materials and multiple storage areas. This integrated supply chain model performs multiple period planning. The use of this DSS requires little knowledge of management sciences tools. We discuss the need for an integrated approach towards supply chain modelling for the process industry. We present the integrated model in the form of a database structure. We validate the model with the real data of a zinc company and demonstrate the impact of optimisation in terms of percentage improvement. The result shows that it is possible to improve unit contribution to profit from 1.89 to 4.66%.en_US
dc.publisherTaylor & Francisen_US
dc.subjectDecision support systemen_US
dc.subjectManufacturing systemsen_US
dc.subjectSupply chain managementen_US
dc.subjectOptimisationen_US
dc.subjectProcess industryen_US
dc.subjectLinear programmingen_US
dc.titleAn integrated decision support system for strategic supply chain optimisation in process industries: the case of a zinc companyen_US
dc.typeArticleen_US


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