Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/63392
Title: Warehouse-retailer system with stochastic demands - Non-identical retailer case
Authors: Chew, E.P. 
Tang, L.C. 
Keywords: Distribution systems
Expected bounds
Optimal reordering policies
Probability approximation
Undershoot
Issue Date: 6-Apr-1995
Source: Chew, 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.
Abstract: We 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.
Source Title: European Journal of Operational Research
URI: http://scholarbank.nus.edu.sg/handle/10635/63392
ISSN: 03772217
Appears in Collections:Staff Publications

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