, Volume 20, Issue 6, pp 1559-1571

Maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model

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Abstract

A cost-based selective maintenance decision-making method was presented. The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems. The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance, minimal repair and overhaul). In the meantime, a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided. Finally, a case study of the maintenance decision-making problem of automobile workshop was given. Furthermore, the case study demonstrates the practicability of this method.

Foundation item: Project(51105141, 51275191) supported by the National Natural Science Foundation of China; Project(2009AA043301) supported by the National High Technology Research and Development Program of China; Project(2012TS073) supported by the Fundamental Research Funds for the Central University of HUST, China