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Queueing model to analyze the value of centralized inventory information

Publication ,  Journal Article
Zheng, YS; Zipkin, P
Published in: Operations Research
1990

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.

Duke Scholars

Published In

Operations Research

Publication Date

1990

Volume

38

Issue

2

Start / End Page

296 / 307

Related Subject Headings

  • Operations Research
  • 3507 Strategy, management and organisational behaviour
  • 1503 Business and Management
  • 0802 Computation Theory and Mathematics
  • 0102 Applied Mathematics
 

Citation

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Zheng, Y. S., & Zipkin, P. (1990). Queueing model to analyze the value of centralized inventory information. Operations Research, 38(2), 296–307.
Zheng, Y. S., and P. Zipkin. “Queueing model to analyze the value of centralized inventory information.” Operations Research 38, no. 2 (1990): 296–307.
Zheng YS, Zipkin P. Queueing model to analyze the value of centralized inventory information. Operations Research. 1990;38(2):296–307.
Zheng, Y. S., and P. Zipkin. “Queueing model to analyze the value of centralized inventory information.” Operations Research, vol. 38, no. 2, 1990, pp. 296–307.
Zheng YS, Zipkin P. Queueing model to analyze the value of centralized inventory information. Operations Research. 1990;38(2):296–307.

Published In

Operations Research

Publication Date

1990

Volume

38

Issue

2

Start / End Page

296 / 307

Related Subject Headings

  • Operations Research
  • 3507 Strategy, management and organisational behaviour
  • 1503 Business and Management
  • 0802 Computation Theory and Mathematics
  • 0102 Applied Mathematics