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Dynamic cost risk assessment for controlling the cost of Naval vessels

机译:动态成本风险评估,用于控制海军舰船的成本

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摘要

Naval vessels, like most large-capital projects/programs, have a long history of cost growth and overruns. To get a handle on this problem, NAVSEA's Cost Engineering and Industrial Division, NAVSEA 05C, has introduced Probabilistic Cost Risk Analysis (PCRA) into the Department of Defense (DoD) Planning, Programmatic, Budgeting, and Execution System (PPBES). The quantification of cost in terms of Cumulative probability Distribution Functions (CDF) or "S-curves" provides a macroscopic view of project/program risk. Risk curves alone do not provide adequate visibility into the individual project risk drivers; therefore, they are insufficient for planning and managing Risk Reduction Activities (RRA). Complex projects typically involve a set of high-consequence, project-specific risks that require detailed analysis and for which risk response actions need to be developed and implemented. The analysis of specific risks and RRAs requires a microscopic view. We present a practical and mathematically sound approach using scenarios and Monte Carlo simulation within the framework of decision trees and risk curves. The approach is detailed using a realistic but simplified case of a project with three technical risks.
机译:像大多数大型资本项目/计划一样,海军舰船的成本增长和超支历史悠久。为了解决这个问题,NAVSEA的成本工程和工业部门NAVSEA 05C已将概率成本风险分析(PCRA)引入了国防部(DoD)计划,程序,预算和执行系统(PPBES)。用累积概率分布函数(CDF)或“ S曲线”表示的成本量化提供了项目/程序风险的宏观视图。单凭风险曲线无法充分了解各个项目风险动因;因此,它们不足以计划和管理降低风险的活动(RRA)。复杂的项目通常会涉及一组高结果,针对特定项目的风险,这些风险需要详细分析,并且需要针对这些风险制定并实施风险应对措施。对特定风险和RRA的分析需要微观的视角。我们在决策树和风险曲线的框架内使用场景和蒙特卡洛模拟提出一种实用且数学上合理的方法。使用具有三个技术风险的现实但简化的项目案例来详细介绍该方法。

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