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Chemical supply chain modeling for analysis of homeland security events

机译:用于分析国土安全事件的化学品供应链建模

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摘要

The potential impacts of man-made and natural disasters on chemical plants, complexes, and supply chains are of great importance to homeland security. To be able to estimate these impacts, we developed an agent-based chemical supply chain model that includes: chemical plants with enterprise operations such as purchasing, production scheduling, and inventories; merchant chemical markets, and multi-modal chemical shipments. Large-scale simulations of chemical-plant activities and supply chain interactions, running on desktop computers, are used to estimate the scope and duration of disruptive-event impacts, and overall system resilience, based on the extent to which individual chemical plants can adjust their internal operations (e.g., production mixes and levels) versus their external interactions (market sales and purchases, and transportation routes and modes). To illustrate how the model estimates the impacts of a hurricane disruption, a simple example model centered on 1,4-butanediol is presented.
机译:人为和自然灾害对化工厂,综合设施和供应链的潜在影响对于国土安全至关重要。为了能够估计这些影响,我们开发了基于代理的化学品供应链模型,其中包括:具有企业运营(例如采购,生产计划和库存)的化工厂;商业化学品市场和多式联运化学品。在台式计算机上运行的大规模化工厂活动和供应链相互作用仿真,用于评估破坏性事件影响的范围和持续时间以及整个系统的适应力,具体取决于各个化工厂可以调整其规模的程度内部运营(例如,产品组合和水平)与外部互动(市场销售和购买以及运输路线和模式)之间的关系。为了说明该模型如何估算飓风破坏的影响,提出了一个以1,4-丁二醇为中心的简单示例模型。

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