Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10845-011-0581-x
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dc.titleIntegrated inventory and transportation decision for ubiquitous supply chain management
dc.contributor.authorHong, K.-S.
dc.contributor.authorYeo, S.S.
dc.contributor.authorKim, H.J.
dc.contributor.authorChew, E.P.
dc.contributor.authorLee, C.
dc.date.accessioned2014-06-17T07:00:52Z
dc.date.available2014-06-17T07:00:52Z
dc.date.issued2012-08
dc.identifier.citationHong, K.-S., Yeo, S.S., Kim, H.J., Chew, E.P., Lee, C. (2012-08). Integrated inventory and transportation decision for ubiquitous supply chain management. Journal of Intelligent Manufacturing 23 (4) : 977-988. ScholarBank@NUS Repository. https://doi.org/10.1007/s10845-011-0581-x
dc.identifier.issn09565515
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63157
dc.description.abstractWe consider price-dependent demand and develop an integrated inventory and transportation policy with strategic pricing to maximize the total profit for a ubiquitous enterprise. The proposed policy provides the optimal ordering, shipment and pricing decision. We first assume that demand for a product is a linear function of the price. A mathematical model for the total profit under quantity based dispatch is developed in consideration of ordering, shipment and pricing variables. Optimality properties for the model are then obtained and an efficient algorithm is provided to compute the optimal parameters for ordering, shipment and pricing decision. Finally, we extend our results to a more general case where demand for the product is a convex or a concave function of the price. © 2011 Springer Science+Business Media, LLC.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10845-011-0581-x
dc.sourceScopus
dc.subjectGeneral demand function
dc.subjectLinear demand function
dc.subjectPricing
dc.subjectShipment consolidation
dc.subjectUbiquitous enterprise
dc.subjectUbiquitous supply chain management
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1007/s10845-011-0581-x
dc.description.sourcetitleJournal of Intelligent Manufacturing
dc.description.volume23
dc.description.issue4
dc.description.page977-988
dc.description.codenJIMNE
dc.identifier.isiut000306436200007
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