Skip to main content

Performance analysis of a multi-item production-inventory system under alternative policies

Publication ,  Journal Article
Zipkin, PH
Published in: Management Science
1995

This paper explores the performance of a multi-item production-inventory system. We compare two alternative policies, representing different modes of collecting and utilizing information. We derive a closed-form measure of performance for one of them, the familiar first-come-first-served (FCFS) policy, and propose a comparable approximation for the other, the longest-queue (LQ) policy. These results are illustrated and tested through simulations. In this way we address several basic managerial issues: What is the value of centralized information in complex systems? How does the breadth of the product line affect performance?

Duke Scholars

Published In

Management Science

Publication Date

1995

Volume

41

Issue

4

Start / End Page

690 / 703

Related Subject Headings

  • Operations Research
  • 46 Information and computing sciences
  • 38 Economics
  • 35 Commerce, management, tourism and services
  • 15 Commerce, Management, Tourism and Services
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zipkin, P. H. (1995). Performance analysis of a multi-item production-inventory system under alternative policies. Management Science, 41(4), 690–703.
Zipkin, P. H. “Performance analysis of a multi-item production-inventory system under alternative policies.” Management Science 41, no. 4 (1995): 690–703.
Zipkin, P. H. “Performance analysis of a multi-item production-inventory system under alternative policies.” Management Science, vol. 41, no. 4, 1995, pp. 690–703.

Published In

Management Science

Publication Date

1995

Volume

41

Issue

4

Start / End Page

690 / 703

Related Subject Headings

  • Operations Research
  • 46 Information and computing sciences
  • 38 Economics
  • 35 Commerce, management, tourism and services
  • 15 Commerce, Management, Tourism and Services
  • 08 Information and Computing Sciences