A two-echelon base-stock inventory model with Poisson demand and the sequential processing of orders at the upper echelon

A two-echelon base-stock inventory model with Poisson demand and the sequential processing of orders at the upper echelon

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Article ID: iaor20084266
Country: Netherlands
Volume: 177
Issue: 1
Start Page Number: 310
End Page Number: 324
Publication Date: Feb 2007
Journal: European Journal of Operational Research
Authors: ,
Keywords: queues: applications
Abstract:

We consider a two-echelon inventory system with a number of non-identical, independent ‘retailers’ at the lower echelon and a single ‘supplier’ at the upper echelon. Each retailer experiences Poisson demand and operates a base stock policy with backorders. The supplier manufactures to order and holds no stock. Orders are produced, in first-come first-served sequence, with a fixed production time. The supplier therefore functions as an M/D/1 queue. We are interested in the performance characteristics (average inventory, average backorder level) at each retailer. By finding the distribution of order lead time and hence the distribution of demand during order lead time, we find the steady state inventory and backorder levels based on the assumption that order lead times are independent of demand during order lead time at a retailer. We also propose two alternative approximation procedures based on assumed forms for the order lead time distribution. Finally we provide a derivation of the steady state inventory and backorder levels which will be exact as long as there is no transportation time on orders between the supplier and retailers. A numerical comparison is made between the exact and approximate measures. We conclude by recommending an approach which is intuitive and computationally straightforward.

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