Abstract

Machine-tool breakdowns, both expected and unexpected, make it difficult to devise effective maintenance plans that do not adversely affect the performance of a manufacturing system. This work presents a heuristic maintenance grouping algorithm which takes the machine-tool failure information provided by smart sensors into account to come up with condition-based preventive maintenance plans that does not severely affect the manufacturing system operations. Studies on the simulation model of a flow-line manufacturing system integrated with smart sensors indicate that grouping of maintenance actions increases the uptime efficiency, boosts the production rate, reduces the maintenance cost, and decreases the production loss.

Notes

Originally published in the Proceedings of the 2005 Northeast Decision Sciences Institute Conference, Philadelphia, Pennsylvania, March 30-April 1, 2005 (CD-ROM)

Keywords

Manufacturing systems, Maintenance, Machine tool failures

Subject Categories

Recycling (Waste (etc.))

Disciplines

Engineering

Publisher

Omnipress

Publication Date

2005

Rights Information

Copyright 2005, Surendra M. Gupta

Rights Holder

Gupta M. Surendra



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