Asymptotic Optimality of Order-Up-To Policies in Lost Sales Inventory Systems
成果类型:
Article
署名作者:
Huh, Woonghee Tim; Janakiraman, Ganesh; Muckstadt, John A.; Rusmevichientong, Paat
署名单位:
Columbia University; New York University; Cornell University
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.1080.0945
发表日期:
2009
页码:
404-420
关键词:
INVENTORY
Production
lost sales
backorders
finite horizon
infinite horizon
optimal costs
摘要:
We study a single-product single-location inventory system under periodic review, where excess demand is lost and the replenishment lead time is positive. The performance measure of interest is the long-run average holding cost and lost sales penalty cost. For a large class of demand distributions, we show that when the lost sales penalty becomes large compared to the holding cost, the relative difference between the cost of the optimal policy and the best order-up-to policy converges to zero. For any given cost parameters, we establish a bound on this relative difference. Numerical experiments show that the best order-up-to policy performs well, yielding an average cost that is within 1.5% of the optimal cost when the ratio between the lost sales penalty and the holding cost is 100. We also propose a heuristic order-up-to level using two newsvendor expressions; in our experiments, the cost of this order-up-to policy is 2.52% higher, on an average, than the best order-up-to policy.