Inventory and production decisions for an assemble-to-order system with uncertain demand and limited assembly capacity
成果类型：
Article
署名作者：
Fu, Ke; Hsu, Vernon Ning; Lee, Chung-Yee
署名单位：
Sun Yat Sen University; George Mason University; Hong Kong University of Science & Technology
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1060.0335
发表日期：
2006
页码：
1137-1150
关键词：
摘要：
This paper considers an inventory and production-planning problem for a contract manufacturer who anticipates an order of a single product, but with uncertain quantity. To meet the challenges of long component procurement lead times and limited assembly capacity, which may render production time insufficient to assemble total order quantity, the manufacturer may need to procure components or even assemble some quantities of the final product before receiving the confirmation of the actual order quantity. We present profit-maximization models that make optimal inventory and production decisions in the above assemble-to-order environment. We also consider the option of outsourcing, so that the manufacturer can outsource part of his production to an external facility that also has limited capacity. We establish structural properties of optimal solutions and develop efficient solution procedures for the proposed problems. We also provide sensitivity analysis of the optimal decisions, and some managerial insights.