Joint Multi-Criterion Decision-Making On Preventive Maintenance Model

A major competitive advantage of production and service systems, is establishing a proper maintenance policy. Therefore, maintenance managers should make maintenancedecisions that best fit their systems. Multi-criterion decisionmaking methods can take into account a number of aspectsassociated with the competitiveness factors of a system. This paper presents a multi-criterion decision-aided maintenance model with two criteria that have more influence on decisionmaking: reliability and maintenance cost. The Bayesian approach has been applied to confront maintenance failuredata shortage. Therefore, the model seeks to make the best compromise between these two criteria and establish replacement intervals by using Preference RankingOrganization Method for Enrichment Evaluation (PROMETHEE II), integrating the Bayesian approach withregard to the preference of the decision maker to the problem. Finally, by using a numerical application, the model has beenillustrated and for a visual realization and an illustrative sensitivity analysis, PROMETHEE GAIA, the visual interactive module, has been used. Use of PROMETHEE II and PROMETHEE GAIA has been made with DECISION LAB software.

کلیدواژه ها:

Preventive Maintenance ، Age-Dependent PM policy ، PROMETHEE H ، Bayesian Approach ، PROMETHEE GAIA