Awi Federgruen

An efficient algorithm for computing an optimal (r, Q) policy in continuous review stochastic inventory systems

Coauthor(s): Yu-Sheng Zheng.

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Abstract:
The reorder point/reorder quantity policies, also referred to as (r, Q) policies, are widely used in industry and extensively studied in the literature. However, for a period of almost 30 years there has been no efficient algorithm for computing optimal control parameteres for such policies. In this paper, we present a surprisingly simple and efficient algorithm for the determination of an optimal (r*, Q*) policy. The computational complexity of the algorithm is linear in Q*. For the most prevalent case of linear holding, backlogging and stockout penalty costs (in addition to fixed order costs), the algorithm requires at most (6r* + 13Q*) elementary operations (additions, comparisons and multiplications), and hence, no more than 13 times the amount of work required to do a single evaluation of the long-run average cost function in the point (r*, Q*).

Source: Operations Research
Exact Citation:
Federgruen, Awi, and Yu-Sheng Zheng. "An efficient algorithm for computing an optimal (r, Q) policy in continuous review stochastic inventory systems." Operations Research 40, no. 4 (1992): 808-813.
Volume: 40
Number: 4
Pages: 808-813
Date: 1992