A Queueing Model to Analyze the Value of Centralized Inventory Information

Yu-Sheng Zheng and Paul Zipkin
Additional contact information
Yu-Sheng Zheng: University of Pennsylvania, Philadelphia, Pennsylvania
Paul Zipkin: Columbia University, New York, New York

Operations Research, 1990, vol. 38, issue 2, 296-307

Abstract: Competitive pressures and technological improvements are leading many firms to consider centralized information systems to manage inventories and schedule production. We propose a simple model to explore the potential benefits of such coordination. The model represents two products competing for a single production facility. Simple Markovian behavior is assumed throughout. The key step in the analysis is the explicit solution of a queueing model with a novel priority discipline: Serve a customer from the class having the largest number of customers in the system.

Keywords: inventory/production; uncertainty; stochastic: centralized inventory information; queues; nonstationary: longest-queue priority discipline (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (34)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.38.2.296 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:38:y:1990:i:2:p:296-307

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().