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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11552
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dc.contributor.authorRoutroy, Srikanta-
dc.date.accessioned2023-08-21T10:32:10Z-
dc.date.available2023-08-21T10:32:10Z-
dc.date.issued2009-05-
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJOR.2009.025195-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11552-
dc.description.abstractThe paper discusses a generic model for Multi-echelon Supply Chain Inventory Planning (MSCIP) with demand and leadtime uncertanity considering the Total Supply Chain (TSC) cost, which consists of Supply Chain Inventory Capital (SCIC), Supply Chain Ordering/set-up Cost (SCOC) and Supply Chain Stock-out Cost (SCSC) for a Maximum Allowable Supply Chain Inventory (MASCI). The Differential Evolution (DE/best/1/bin) strategy is used to solve MSCIP problem to determine ordering/production quantity and service level that should be maintained by each member of the supply chain. One case situation is elucidated to reinforce the salient features of the concept. A sensitivity analysis is carried out to know how the TSC is varying along MASCI in different environments.en_US
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectMechanical Engineeringen_US
dc.subjectDifferential evolution strategyen_US
dc.subjectSupply chain inventory planningen_US
dc.subjectSupply Chain Managementen_US
dc.titleMulti-echelon Supply Chain Inventory Planning with demand and leadtime uncertaintyen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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