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A robust decision-making methodology for evaluation and selection of simulation software package

机译:用于评估和选择仿真软件包的强大决策方法

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摘要

Today, simulation has a broad range of applications from solving service problems to analyzing manufacturing problems such as warehousing and logistic systems. Simulation has become a popular methodology and selecting an appropriate simulation software package is one of the decisions that any industrial engineer may face at work. As a result, numerous types of simulation software packages have been developed for modeling simulation problems. The increasing variety of simulation software packages in the software market makes the selection of an appropriate simulation software package a critical decision. Selecting an inappropriate software package will be followed by many negative consequences. This paper will present a robust decision-making methodology based on Fuzzy Analytical Hierarchy Process (FAHP) for evaluating and selecting the appropriate simulation software package. The robust decision method aggregates the experts' judgments for the criteria weights and the suitability of simulation software alternatives. The FAHP is used to prioritize and evaluate existing alternatives based on the proposed criteria for choosing the proper simulation software. The proposed methodology is applied to selecting the appropriate simulation software as an experiment and results are provided.
机译:如今,仿真具有广泛的应用范围,从解决服务问题到分析制造问题,例如仓储和物流系统。模拟已成为一种流行的方法,选择合适的模拟软件包是任何工业工程师在工作中可能面临的决定之一。结果,已经开发了许多类型的仿真软件包来对仿真问题进行建模。在软件市场中,越来越多的仿真软件包种类繁多,因此选择合适的仿真软件包就成为了至关重要的决定。选择不合适的软件包将带来许多负面后果。本文将介绍一种基于模糊层次分析法(FAHP)的鲁棒决策方法,用于评估和选择合适的仿真软件包。健壮的决策方法汇集了专家对标准权重和仿真软件替代方案的适用性的判断。 FAHP用于根据建议的标准选择合适的仿真软件,对现有的替代方案进行优先级排序和评估。所提出的方法应用于选择合适的仿真软件作为实验并提供结果。

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