Why Is It So Hard to Build and Validate Discrete Event Simulation Models of Manufacturing Facilities
Why Is It So Hard to Build and Validate Discrete Event Simulation Models of Manufacturing Facilities
复制标题
为什么很难建立和验证制造设施的离散事件模拟模型
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
E. Yellig
中科院分区：
文献类型：
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作者：
S. A. Fischbein;E. Yellig
离散事件仿真建模方法被广泛应用于制造系统的性能评价。这些模型为工厂管理提供了在工厂建成之前或对设施进行重大更改之前测试不同制造方法和运营策略的能力。这些策略可以包括测试提议的制造方法、布局方法、生产设备分配策略、设备维护和修理策略、操作员人员配置方案和工厂自动化配置。使用这些模型，可以根据这些不同运营变量的详细敏感性分析来评估绩效或预测未来绩效。这种能力已被证明是非常宝贵的，特别是如果在做出重大投资决策之前或在最终确定工厂设计之前进行分析。因此，离散事件仿真建模仍然是制造系统性能评估的一种使能能力。
Discrete event simulation modeling methods are widely used to evaluate the performance of manufacturing systems. These models provide factory management the ability to test different manufacturing methods and operational policies before a factory is built, or before significant changes are made to a facility. These policies could include testing of proposed manufacturing methods, layout methodologies, production equipment assignment strategies, equipment maintenance and repair policies, operator staffing scenarios, and factory automation configurations. Using these models, it is possible to evaluate the performance or predict future performance based on a detailed sensitivity analysis of these different operating variables. This ability has proven to be invaluable, especially if the analysis is performed before major investment decisions are made or prior to finalizing factory designs. Consequently, discrete event simulation modeling continues to be an enabling capability for performance evaluation of manufacturing systems.