Order fill rate, leadtime variability, and advance demand information in an assemble-to-order system
成果类型：
Article
署名作者：
Lu, YD; Song, JS; Yao, DD
署名单位：
International Business Machines (IBM); IBM USA; University of California System; University of California Irvine; Columbia University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.51.2.292.12781
发表日期：
2003
页码：
292-308
关键词：
摘要：
We study an assemble-to-order system with stochastic leadtimes for component replenishment. There are multiple product types, of which orders arrive at the system following batch Poisson processes. Base-stock policies are used to control component inventories. We analyze the. system as a set of queues driven by a common, multiclass batch Poisson input, and derive the joint queue-length distribution. The result leads to simple, closed-form expressions of the first two moments, in particular the covariances, which capture the dependence structure of the system. Based on the joint distribution and the moments, we derive easy-to-compute approximations and bounds for the order fulfillment performance measures. We also examine the impact of demand and leadtime variability, and investigate the value of advance demand information.