Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63392
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dc.titleWarehouse-retailer system with stochastic demands - Non-identical retailer case
dc.contributor.authorChew, E.P.
dc.contributor.authorTang, L.C.
dc.date.accessioned2014-06-17T07:03:30Z
dc.date.available2014-06-17T07:03:30Z
dc.date.issued1995-04-06
dc.identifier.citationChew, E.P.,Tang, L.C. (1995-04-06). Warehouse-retailer system with stochastic demands - Non-identical retailer case. European Journal of Operational Research 82 (1) : 98-110. ScholarBank@NUS Repository.
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63392
dc.description.abstractWe consider a warehouse-retailer system where both the warehouse and the retailers operate under continuous review (s, S) policies with different lot-sizes. The demand process at the warehouse is based on the orders placed by the individual retailers whose demands follow stationary Poisson processes with different demand rates. We provide estimates for the steady-state expected upper bound of the number of units short per unit time which can be used as a performance measure of the distribution systems. This expected upper bound is obtained by using probability approximation and other heuristic approaches. The results compared favorably with those obtained via simulation. © 1995.
dc.sourceScopus
dc.subjectDistribution systems
dc.subjectExpected bounds
dc.subjectOptimal reordering policies
dc.subjectProbability approximation
dc.subjectUndershoot
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume82
dc.description.issue1
dc.description.page98-110
dc.description.codenEJORD
dc.identifier.isiutNOT_IN_WOS
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