Reliable due-date setting in a capacitated MTO system with two customer classes
成果类型：
Article
署名作者：
Kapuscinski, Roman; Tayur, Sridhar
署名单位：
University of Michigan System; University of Michigan; Carnegie Mellon University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1060.0339
发表日期：
2007
页码：
56-74
关键词：
摘要：
We study a finite-horizon discrete-time model of due-date setting (equivalently, reserving capacity) in a make-to-order setting, where demands arrive from two different classes of customers. Demands in each period are stochastic. The two customer classes penalize with different margins the lead times quoted to them, which (once quoted) are to be satisfied reliably. We first derive the optimal policy for reserving capacity that maps to quoted due dates. We use the insights from its structure to develop a novel approximation that provides near-optimal solutions quickly. Currently available heuristics are tested and are found to be considerably less effective than the above approximation.