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A new approach for layout optimization in maintenance workshops with safety factors: The case of a gas transmission unit

机译:具有安全因素的维修车间布局优化的新方法:气体传输单元的情况

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In this study, an Integrated Simulation-Data Envelopment Analysis (DEA) approach is presented for optimum facility layout of maintenance workshop in a gas transmission unit. The process of repair of incoming parts includes various operations on different facilities. The layout problem in this system involves determining the optimum location of all maintenance shop facilities. Layout optimization plays a crucial role in this type of problems in terms of increasing the efficiency of main production line. Standard types of layouts including U, S, W, Z and straight lines are considered. First, the maintenance workshop is modeled with discrete-event-simulation. Time in system, average waiting time, average machine utilization, average availability of facilities, average queue length of facilities (AL) and average operator utilization are obtained from simulation as key performance indicators (KPIs) of DEA. Also, safety index and number of operators are considered as other KPIs. Finally, a unified non-radial Data Envelopment Analysis (DEA) is presented with respect to the stated KPIs to rank all layouts alternatives and to identify the best configuration. Principle Component Analysis (PCA) is used to validate and verify the results. Previous studies do not consider safety factor in layout design problems. This is the first study that presents an integrated approach for identification of optimum layout in a maintenance workshop of gas transmission unit by incorporating safety and conventional factors.
机译:在这项研究中,提出了一种集成的模拟-数据包络分析(DEA)方法,以优化气体传输单元中维修车间的设施布局。来料零件的维修过程包括在不同设施上进行的各种操作。该系统中的布局问题涉及确定所有维修车间设施的最佳位置。在提高主生产线的效率方面,布局优化在此类问题中起着至关重要的作用。考虑包括U,S,W,Z和直线的标准布局类型。首先,使用离散事件模拟对维护车间进行建模。系统仿真中获得的时间,平均等待时间,平均机器利用率,设施的平均可用性,设施的平均队列长度(AL)和操作员的平均利用率是DEA的关键性能指标(KPI)。此外,安全指数和操作员人数也被视为其他KPI。最后,针对所述KPI提出了统一的非径向数据包络分析(DEA),以对所有布局备选方案进行排名并确定最佳配置。主成分分析(PCA)用于验证和验证结果。先前的研究没有在布局设计问题中考虑安全因素。这是第一项研究,提出了一种通过综合考虑安全性和传统因素来确定气体传输单元维修车间最佳布局的综合方法。

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