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A Queueing Model to Analyze the Value of Centralized Inventory Information

Yu-Sheng Zheng, Paul Zipkin

Operations Research · 1990 · Volume 38 · Issue 2

DOI: 10.1287/opre.38.2.296

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

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