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dc.contributor.authorBish, Ebru K.
dc.contributor.authorLin, Kyle Y.
dc.contributor.authorHong, Seong-Jong
dc.date.accessioned2014-08-27T23:09:13Z
dc.date.available2014-08-27T23:09:13Z
dc.date.issued2008
dc.identifier.citationEuropean Journal of Operational Research, Vol. 187, (2008), pp. 429–441
dc.identifier.urihttp://hdl.handle.net/10945/43126
dc.description.abstractWe consider a firm that uses two perishable resources to satisfy two demand types. Resources are flexible such that each resource can be used to satisfy either demand type. Resources are also indivisible such that the entire resource must be allocated to the same demand type. This type of resource flexibility can be found in different applications such as movie theater complexes, cruise lines, and airlines. In our model, customers arrive according to independent Poisson processes, but the arrival rates are uncertain. Thus, the manager can learn about customer arrival rates from earlier demand figures and potentially increase the sales by postponing the resource allocation decision. We consider two settings, and derive the optimal resource allocation policy for one setting and develop a heuristic policy for the other. Our analysis provides managerial insights into the effectiveness of different resource allocation mechanisms for flexible and indivisible resources.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleAllocation of flexible and indivisible resources with decision postponement and demand learningen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Research
dc.subject.authorRetailingen_US
dc.subject.authorResource flexibilityen_US
dc.subject.authorDemand forecasten_US
dc.subject.authorCapacity allocationen_US
dc.subject.authorPerishable inventoryen_US


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