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An integrated fuzzy simulation-fuzzy data envelopment analysis approach for optimum maintenance planning

机译：集成的模糊仿真-模糊数据包络分析方法可优化维护计划

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摘要

Modelling maintenance activities could be a complex and non-linear system which consists of different parameters. This article presents an integrated fuzzy simulation-fuzzy data envelopment analysis (FSFDEA) to cope with a special case of 'maintenance activity planning' problem. First, the maintenance activities are simulated by means of Awesim. Due to the ambiguity associated with the time between failures, fuzzy sets theory is incorporated into the simulation network. Different distribution functions for production, failure and maintenance times are estimated using historical data. Then, outputs are computed by carrying out the simulation for different scenarios which are combinations of periodic maintenances. Several outputs including machines and operators' availability, reliability, efficiency and queue length are computed. Data envelopment analysis (DEA) method is used to select the preferred policy for this multi-criteria problem. In order to handle fuzzy outputs of the simulation, fuzzy DEA model is applied. To show the applicability of the proposed FSFDEA algorithm for planning maintenance activities, the data for a series production line is used and different scenarios are investigated. The proposed approach of this study would help managers to identify the preferred strategy considering and investigating various parameters and scenarios.
机译：对维护活动进行建模可能是一个复杂且非线性的系统，其中包含不同的参数。本文介绍了一种集成的模糊仿真-模糊数据包络分析（FSFDEA），以应对“维护活动计划”问题的特殊情况。首先，通过Awesim模拟维护活动。由于与故障间隔时间相关的含糊不清，因此将模糊集理论纳入了仿真网络。使用历史数据估算生产，故障和维护时间的不同分配函数。然后，通过对不同情况进行模拟来计算输出，这些情况是定期维护的组合。计算了一些输出，包括机器和操作员的可用性，可靠性，效率和队列长度。数据包络分析（DEA）方法用于选择此多准则问题的首选策略。为了处理仿真的模糊输出，应用了模糊DEA模型。为了显示所提出的FSFDEA算法在计划维护活动中的适用性，使用了一系列生产线的数据并研究了不同的情况。本研究的拟议方法将帮助管理者确定考虑和调查各种参数和方案的首选策略。

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