A simple proof for optimality of (s, S) policies in infinite-horizon inventory systems
Author:
- 1 March 1991
- journal article
- research article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 28 (04) , 802-810
Abstract
The classical proofs for the existence of a stationary (s, S) inventory policy that minimizes the total discounted or average cost over an infinite horizon are lengthy because they depend heavily on the optimality results for corresponding finite-horizon models. This note presents a simpler alternative. Since optimal stationary (s, S) policies are relatively simple to characterize, it is easy to construct a solution to the optimality equation which is satisfied by an (s, S) policy or an equivalent variant thereof. For the discounted model, the proof characterizes an (s, S) policy that is optimal for all initial inventory positions. This policy can be generated by a simple existing algorithm. For the average-cost model, the optimality proof is completed with some additional arguments, which are simple but novel, to overcome the normal difficulties encountered in models with unbounded one-step expected costs.Keywords
This publication has 8 references indexed in Scilit:
- Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single PolicyOperations Research, 1991
- An Efficient Algorithm for Computing Optimal (s, S) PoliciesOperations Research, 1984
- Durchschnittsoptimale Strategien in MARKOVschen Entscheidungsmodellen bei unbeschränkten KostenMathematische Operationsforschung und Statistik. Series Optimization, 1977
- Improved Algorithms for Inventory and Replacement-Stocking ProblemsSIAM Journal on Applied Mathematics, 1970
- On (s, S) PoliciesManagement Science, 1968
- On the Opimality of $( {s,S} )$ Inventory Policies: New Conditions and a New ProofSIAM Journal on Applied Mathematics, 1966
- Computing Optimal (s, S) Inventory PoliciesManagement Science, 1965
- Optimality of (s, S) Policies in the Infinite Horizon Dynamic Inventory ProblemManagement Science, 1963