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Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty

机译:不确定性条件下基于仿真的设施布局优化

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Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associated with new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-based Optimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper show how characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essential to support managers and stakeholders during the introduction of new production processes in the design of facility layouts.
机译:尽管越来越多地使用基于仿真的优化,但设施布局的设计仍面临着与新生产流程相关的高度不确定性的挑战。针对此问题,本文旨在了解在不确定性较高的条件下,基于仿真的设施布局设计优化的概念建模活动。基于三个深入的案例研究,本文的结果显示了如何将生产系统的表征标准用于概念建模以减少不确定性。这些结果对于在设施布局设计中引入新的生产流程期间支持经理和利益相关者可能至关重要。

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