4.5 Article

Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems

出版社

ASME
DOI: 10.1115/1.4029906

关键词

manufacturing system; real-time maintenance policy; maintenance opportunity window

资金

  1. National Science Foundation [0825789]
  2. Industry/University Cooperative Research Center for Intelligent Maintenance Systems (NSF) [1134676]
  3. Direct For Computer & Info Scie & Enginr
  4. Division Of Computer and Network Systems [1134676] Funding Source: National Science Foundation
  5. Directorate For Engineering [0825789] Funding Source: National Science Foundation
  6. Div Of Civil, Mechanical, & Manufact Inn [0825789] Funding Source: National Science Foundation

向作者/读者索取更多资源

In this paper, we investigate hidden opportunities for performing proper maintenance tasks during production time without causing production losses. One of the maintenance opportunities on a machine is when the machine is starved or blocked due to the occurrence of random failures on its upstream or downstream machines. Such failure-induced starvation or blockage time is defined as a passive maintenance opportunity window (PMOW), and is predicted on the bottleneck machines in manufacturing systems with different configurations. The effectiveness of the PMOW prediction algorithm is validated through case studies in both simulations and an automotive assembly plant.

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