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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机译：在本小组讨论中，五位领先的仿真从业人员讨论了试图使用仿真来设计新系统或改善现有系统性能的人员所面临的许多关键问题。 John Carson，Kenneth Musselman和Onur Ulgen是顾问，而Jerry Fox / Stephen Halladin是该公司中广泛使用该技术的公司的主要模拟用户。本文讨论的问题是由讨论者和我本人根据我们共同的模拟建模经验而选择的，这些经验既重要又具有普遍意义。问题之一-如何确定模型详细程度-也许是试图为大型，复杂系统建模的分析师面临的最困难的方法论问题。如果模型中没有足够的细节，则它可能无效并产生错误的结果。另一方面，过于详细的模型可能会导致错过最后期限，并导致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提出了自己的看法。
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