A Model for Evaluating Works Order in Preventive Maintenance Using Fuzzy-Sets

Abstract

Preventive maintenance of buildings has increased the importance of interest in that it is able to maintain the performance the building has and to prevent a problem occurred in future. For improved preventive maintenance work, it should be performed to select work order clearly and preceded the accurate measurement for the state of work order. When measuring the conditions, measurement of the states of work order considering the various criteria is more effective than to measure by only criterion. But, there is something hard to evaluate exactly between the criteria because of decision-maker's subjective judgments. To solve these problems, this research proposes the decision making support model to determine preventive maintenance work order using Fuzzy-sets. By using Fuzzy-sets when measuring the state of order, it can be reduced the vagueness of judgments by decision-makers. The methodologies applied in this research are Analytic Hierarchy Process (AHP) and VIKOR which is one of the Multi-Criteria Decision-Making. Through these analysis processes, it could be obtained the results of evaluation and the ranking in order to plan maintenance work strategy. In this research, as case study, this model is applied to determine work order for concrete crack repairs. This model can be used as a tool for objective evaluation of preventive maintenance work order and offer the guideline to perform the decision making.