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A vision of facility siting possibilities

机译：设施选址可能性的愿景

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Facility siting methods to optimize the layout of industrial facilities for risk reduction have been evolving for decades from subjective views, standards, and guidelines to quantitative numerical analysis. The authors of this paper have tossed out the past, moved beyond the present, and taken out their crystal balls to provide a discussion around the future of facility siting by focusing on technology driven enhancements associated with three main themes: mainstreaming of current advanced analysis techniques into the base case methodology, incorporating company and/or site specific data trending and analytics to operationalize the studies, and the potential transformational change to machine learning-based predictive risk management. With technological advancements touching nearly every area of business, it is no surprise that it is also changing the landscape of consequence and risk-based facility siting approaches. As with all markets, the customer will be a key driver for the advancements of technical safety studies to suit their adapting needs. However, as this article will show, personnel conducting facility siting studies are also using technological advancements to challenge the status quo by improving data fidelity, increasing the robustness and depth of analysis, and providing improved insights to aid decision making.
机译：用于优化风险减少工业设施布局的工厂选址方法已经不在定量数值分析的主观视图，标准和指导方面发展了几十年。本文的作者已经抛出过去，超越了现在，通过专注于与三个主要主题相关的技术驱动的增强功能来取出他们的水晶球来讨论设施选址的未来：主流化当前的高级分析技术的主流化进入基本案例方法，将公司和/或站点特定数据趋势和分析进行运营，以运营研究，以及基于机器学习的预测风险管理的潜在变革。通过技术进步接触几乎每个业务领域，它也不令人惊讶的是，它也在改变后果和基于风险的设施选址方法的景观。与所有市场一样，客户将成为技术安全研究进步以适应他们适应需求的关键驱动因素。然而，正如本文将展示的那样，开展工厂选址研究的人员也在使用技术进步，通过改善数据保真度，提高分析的鲁棒性和深度，并提供援助决策的改进洞察力来挑战现状。

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