Inventory rationing in a make-to-stock system with batch production and lost sales

Pang, Zhan and Shen, Houcai and Cheng, T.C.E. (2014) Inventory rationing in a make-to-stock system with batch production and lost sales. Production and Operations Management, 23 (7). pp. 1243-1257. ISSN 1059-1478

Full text not available from this repository.

Abstract

We address an inventory rationing problem in a lost sales make-to-stock (MTS) production system with batch ordering and multiple demand classes. Each production order contains a single batch of a fixed lot size and the processing time of each batch is random. Assuming that there is at most one order outstanding at any point in time, we first address the case with the general production time distribution. We show that the optimal order policy is characterized by a reorder point and the optimal rationing policy is characterized by time-dependent rationing levels. We then approximate the production time distribution with a phase-type distribution and show that the optimal policy can be characterized by a reorder point and state-dependent rationing levels. Using the Erlang production time distribution, we generalize the model to a tandem MTS system in which there may be multiple outstanding orders. We introduce a state-transformation approach to perform the structural analysis and show that both the reorder point and rationing levels are state dependent. We show the monotonicity of the optimal reorder point and rationing levels for the outstanding orders, and generate new theoretical and managerial insights from the research findings.

Item Type:
Journal Article
Journal or Publication Title:
Production and Operations Management
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? INVENTORY RATIONINGBATCH PRODUCTIONMARKOV DECISION PROCESSMANAGEMENT SCIENCE AND OPERATIONS RESEARCHINDUSTRIAL AND MANUFACTURING ENGINEERINGMANAGEMENT OF TECHNOLOGY AND INNOVATIONDISCIPLINE-BASED RESEARCH ??
ID Code:
69183
Deposited By:
Deposited On:
11 Apr 2014 14:06
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Sep 2023 01:43