基于模糊决策网格的维护策略选择模型

以传统决策网格为基础,通过模糊化方法建立了维护策略选择模型.以平均故障时间和故障频率作为决策变量而构建决策网格图,建立了不同网格区域所代表的维护策略以及决策变量的隶属函数,运用模糊加权平均算法评估设备备选维护策略的满意度,同时,建立维护策略成本满意度的模糊集,运用模糊加权平均算法确定其最优维护策略.实例分析结果表明,运用模糊理论所构建的维护策略选择模型较好地解决了传统决策网格的决策偏差,考虑了决策变量权重与策略成本而具有较好的灵活性和实用性.

Modeling of Maintenance Policy Choice Based on a Fuzzy Decision Making Grid Map

A model of maintenance policy choice was built based on traditional decision making grid map for building optimal equipment maintenance policy effectively by using fuzzy methods. A decision making grid map was established with the mean downtime and the breakdown frequency as decision criteria. The maintenance policy represented by each region was decided, based on which, the membership functions of decision criteria were built and the degree of satisfaction of the choice maintenance policy related to equipment was evaluated by using a new Fuzzy Weighted Average algorithm. The fuzzy set of the satisfaction degree of maintenance policy cost was built and the new Fuzzy Weighted Average algorithm was used for the second time to decide the optimal maintenance policy. The experiment results show that the model established can solve the problems of the decision making bias brought about by the method of the traditional decision making grid, and that it is flexible and practical because it takes the weight and policy's cost into consideration.