Abstract
Queuing modeling and heuristic optimization have been performed to investigate the impact of corrective maintenance policy on machine utilization in a complex manufacturing process. Three different types of maintenance teams, namely, electricians, mechanics, and pipefitters, are used for repairing the broken machines. The times between consecutive machine breakdowns and the service times of crews repairing the broken machines are random variables of interest. Electricians, mechanics, and pipefitters are show to fit specific queuing models. The total cost is formulated as a function of queuing statistics that are obtained through simulation. Minimization heuristics will determine the combination of crew members that will result in the minimum system cost.
| Original language | English |
|---|---|
| Pages (from-to) | 57-65 |
| Journal | Proceedings of the Annual Reliability and Maintainability Symposium |
| Publication status | Published - 1987 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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