制造系统仿真关键问题论坛

A. Law, J. Carson, J. Fox, S. Halladin, K. Musselman, Onur M. Ülgen
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引用次数: 10

摘要

在这个小组讨论中,五位领先的仿真从业者讨论了试图使用仿真来设计新系统或改进现有系统性能的人所面临的一些关键问题。John Carson, Kenneth Musselman和Onur Ulgen是顾问,而Jerry Fox/Stephen Halladin是一家广泛使用该技术的公司的主要模拟用户。本文中讨论的问题是由讨论者和我根据我们多年的模拟建模经验选择的,因为这些问题既重要又具有普遍意义。其中一个问题——如何确定模型细节的级别——可能是试图为一个大型复杂系统建模的分析师所面临的最困难的方法问题。如果模型中没有足够的细节,那么它可能是无效的,并产生错误的结果。另一方面,过于详细的模型可能会导致错过最后期限和过多的计算机执行时间或内存需求。另外两个问题涉及整个项目成功的要素,以及如何收集有关感兴趣系统的良好信息/数据。最后,讨论者对未来三年仿真建模领域的发展方向给出了自己的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Forum on Crucial Issues in the Simulation of Manufacturing Systems
In this panel discussion five leading simulation practitioners discuss a number of critical issues facing a person who is trying to use simulation to design a new system or to improve the performance of an existing system. John Carson, Kenneth Musselman, and Onur Ulgen are consultants, while Jerry Fox/Stephen Halladin are major users of simulation at a company that very extensively employs this technology. The questions discussed in this article were chosen by the discussants and myself based on our collective years of simulation modeling experience as being both important and of general interest. One of the questions-- how to determine the level of model detail--is, perhaps, the single most difficult methodological issue confronting an analyst trying to model a large, complex system. If there is not enough detail in the model, then it will probably be invalid and produce erroneous results. On the other hand, an overly detailed model may result in missed deadlines and in excessive computer execution time or memory requirements. Two additional questions address the ingredients for overall project success and how to collect good information/data on the system of interest. Finally, the discussants give their views on where the field of simulation modeling is headed in the next three years.
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