Note: Optimality Conditions for an (s, S) Policy with Proportional and Lump-Sum Penalty Costs
Management Science
- 주제재고 최적화 · 생산·최적화
We consider the optimality of the (s, S) policy for a periodic-review stochastic inventory problem with two types of shortage costs. The problem may arise in a rush-order application at a bank branch where the emergency provision costs during a foreign currency stockout are represented by proportional and lump-sum penalties. Aneja and Noori (1987) analyzed this problem and presented a set of conditions for the convexity of a particular function and made a claim about the K-convexity of another function to prove the optimality of the (s, S) policy. We show that because the function that is claimed to be K-convex is actually concave over a subset of its domain, Aneja and Noori's arguments cannot be used to prove the optimality of the (s, S) policy. However, we argue that Aneja and Noori's problem is equivalent to the typical lost-sales problem, and using this equivalence, we .nd a simple convexity condition that assures the optimality of the (s, S) policy.
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- 저널Management Science · 48(12) · 1635–1639
- 토픽Supply Chain and Inventory Management · Management Information Systems
- DOI10.1287/mnsc.48.12.1635.443
- 저자Sıla Çetinkaya, Mahmut Parlar