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.

中文翻译：

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设施选址的愿景

从主观观点，标准和准则到定量数值分析，数十年来一直在发展用于优化工业设施布局以降低风险的设施选址方法。本文的作者抛弃了过去，超越了现在，抽出了水晶球，通过关注与三个主要主题相关的技术驱动的增强功能，围绕设施选址的未来进行了讨论：当前先进分析技术的主流化在基本案例方法中，结合公司和/或站点特定的数据趋势和分析以使研究可操作，以及对基于机器学习的预测风险管理的潜在转变。随着技术的进步涉及几乎所有业务领域，毫不奇怪的是，它也在改变后果和基于风险的设施选址方法的格局。与所有市场一样，客户将成为推动技术安全研究以适应其适应需求的主要驱动力。但是，正如本文将显示的那样，进行设施选址研究的人员还通过提高数据保真度，增加分析的鲁棒性和深度以及提供改进的见解来辅助决策来利用技术进步来挑战现状。