School of Industrial Engineering, University of Oklahoma, 202 West Boyd Street, Room 124, Norman, OK 73019, USA.
Risk Anal. 2010 Jun;30(6):962-74. doi: 10.1111/j.1539-6924.2010.01373.x. Epub 2010 Feb 25.
This article introduces approaches for identifying key interdependent infrastructure sectors based on the inventory dynamic inoperability input-output model, which integrates an inventory model and a risk-based interdependency model. An identification of such key sectors narrows a policymaker's focus on sectors providing most impact and receiving most impact from inventory-caused delays in inoperability resulting from disruptive events. A case study illustrates the practical insights of the key sector approaches derived from a value of workforce-centered production inoperability from Bureau of Economic Analysis data.
本文介绍了一种基于库存动态非运行投入产出模型识别关键相互依存基础设施部门的方法,该模型集成了库存模型和基于风险的相互依存模型。对这些关键部门的识别可以缩小决策者的关注范围,使他们专注于那些在由破坏性事件引起的库存导致的非运行延迟中提供最大影响和受到最大影响的部门。通过对来自经济分析局数据的劳动力为中心的生产非运行价值的案例研究,说明了关键部门方法的实际见解。