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Supply Chain Risk Management: an Interactive Simulation Model in a Big Data Context

机译：供应链风险管理：大数据上下文中的交互式仿真模型

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摘要

Aligned with the Industry 4.0 research and innovation agenda, a Decision Support System is currently being developed with the purpose of enhancing decision-making in risk scenarios at Supply Chains. It is comprised of a Big Data Warehouse and a simulation model. The former stores and provides integrated real data to the simulation model, which models the respective materials and information flows. Thus, the purpose of this paper is to present such tool being used to test scenarios that, contrarily to the traditional simulation approach, incorporate disruptions in an interactive way, meaning that users may fire such events at any desired simulation time and with different parameters. Thus, the tool is used to assess the impact of disruptions in the performance of the system. The conclusions of this paper highlight the benefits that can be obtained with the proposed interactive approach, as it allows a virtualization of the real system to be obtained and, at the same time, use the simulation model to assess what would be the impact of certain disruptions.
机译：与工业4.0研究和创新议程一致，决策支持系统，目前正在与供应链加强风险情况的决策，制定本标准。它是由一个大型数据仓库和仿真模型。前者存储和提供集成的真实数据的仿真模型，其中模型的各材料和信息流。因此，本文的目的是用来测试场景，反之对于传统的模拟方法，在互动的方式一体化的中断，这意味着用户可以在任何期望的模拟时间和使用不同的参数触发这样的事件存在这样的工具。因此，该工具被用来评估中断的系统中的性能的影响。本文的结论，强调了可与所提出的互动方式来获得好处，因为它允许获得真正的系统的虚拟化，并在同一时间，使用模拟模型来评估什么是一定的影响中断。

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