Maintenance decision of meta-action unit based on Grey-BWM

Abstract

In order to reduce the maintenance cost, improve the availability, reliability, safety and product quality of the equipment, it is necessary to maintain the equipment. The choice of maintenance strategy is not only related to economic interests, and even endanger personal safety. Traditional maintenance decision-making often takes parts or the whole system as the decision object. Taking components or systems as decision-making objects, too large grains are easy to lead to wrong maintenance decisions, resulting in over repair or under repair; taking parts as decision-making objects, the analysis and decision-making of the system is too complicated. In this paper, the meta-action unit is taken as the research carrier, and the grey weight of each criteria is obtained by combining the grey system theory with the best worst method (BWM). The comprehensive grey value of the evaluation is calculated by the grey number algorithm and its comparison method, and the best maintenance scheme is obtained by comparison. The example analysis proves the effectiveness of the method.