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dc.contributor.authorSrinivas, Chidurala-
dc.contributor.authorRao, C. S. P.-
dc.date.accessioned2024-11-12T05:31:45Z-
dc.date.available2024-11-12T05:31:45Z-
dc.date.issued2010-
dc.identifier.citation10.1007/s00170-009-2286-2en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1428-
dc.descriptionNITWen_US
dc.description.abstractIn this article, we have developed four consignment stock inventory models of supply chain. The lead time is assumed to be dependent because, at the time of contract with the manufacturer, the retailer may intend to reduce the lead time for which the retailers pay an additional cost. The lead time of consignment stock strategy has been controlled to minimize joint total expected cost and simultaneously optimize other decision variables such as quantity transported, lead time, number of transport operations, and delay deliveries under stochastic environment so as to gain the competitive advantage in the business strategy. Numerical examples and sensitivity analysis are presented to illustrate the solution procedureen_US
dc.language.isoenen_US
dc.publisherInternational Journal of Advanced Manufacturing Technologyen_US
dc.subjectConsignment stocken_US
dc.subjectSingle-vendor–multibuyer modelen_US
dc.subjectSupply chainen_US
dc.subjectGenetic algorithmen_US
dc.titleOptimization of supply chains for single-vendor–multibuyer consignment stock policy with genetic algorithmen_US
dc.typeArticleen_US
Appears in Collections:Mechanical Engineering

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