Improving simulation results with static models

Martin J. Miller, Niloo Shahi, A. N. Dias
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Abstract

Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.
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改进静态模型的仿真结果
有效的仿真模型需要健壮的开发方法。计划、设计、数据和测试是确保对模型客户有价值的答案的组成部分。本文讨论了支持静态模型如何为仿真模型提供指导和方向正确性。静态模型还可以提供补充答案,从而降低仿真模型的复杂性。
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