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Maintenance Task Prioritization Using Data Driven Bottleneck Detection and Maintenance Opportunity Windows

[+] Author Affiliations
Lin Li, Dragan Djurdjanovic, Jun Ni

University of Michigan, Ann Arbor, MI

Paper No. MSEC2007-31150, pp. 517-523; 7 pages
  • ASME 2007 International Manufacturing Science and Engineering Conference
  • ASME 2007 International Manufacturing Science and Engineering Conference
  • Atlanta, Georgia, USA, October 15–18, 2007
  • Conference Sponsors: Manufacturing Division
  • ISBN: 0-7918-4290-8 | eISBN: 0-7918-3809-9
  • Copyright © 2007 by ASME


Maintenance operations have a direct influence on production performance in manufacturing systems. Maintenance task prioritization is crucial and important, especially when availability of maintenance resources is limited. The decision on task assignment is often made through heuristic methods or experience, which could cause more downtime and the production losses. In this paper, a new maintenance task prioritization policy based on data driven bottleneck detection and reliability-based maintenance opportunity window calculation is introduced. An experiment in simulation of a real production line shows the proposed policy is able to improve the system reliability, increase the throughput and minimize the total cost of system operation.

Copyright © 2007 by ASME
Topics: Maintenance



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