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Managing Change on Complex Programs: VIRGINIA Class Cost Reduction

机译:管理复杂程序的变更:降低VIRGINIA类的成本

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Today's ship acquisition environment demands the delivery of more ship for less money. The VIRGINIA Class Submarine Program faced this challenge explicitly, with its mandate to achieve cost reduction of approximately $400 million per ship by FY 2012 as a necessary condition for increased production. For VIRGINIA Class, accomplishing this objective meant implementing a number of significant cost reducing changes to a mature design and hundreds of construction processes-ensuring that these changes enhanced rather than disrupted the "normal" learning occurring in the serial submarine construction. Managing these changes and their impact on ongoing efforts to achieve good learning from ship to ship (also known as the learning curve) was further complicated by interactions between learning and other factors like changes to production rate, funding profiles, construction schedules, and the workforce. Performance of the VIRGINIA Class Program was dynamically simulated to determine in advance the likely full consequences (including indirect impacts) of cost reduction actions in the context of evolving program conditions. The simulation of VIRGINIA Class Program performance captured individual factors whose improvement together drives the classic learning curve-for example, design maturity, material availability, staff experience, and so on-and was validated against historical program performance. This simulation capability was used to evaluate the full impact of potential changes, individually and in combination, along with sensitivity to a variety of different future scenarios. The analysis provided insights regarding the degree of disruption from different cost reduction changes, synergies between these changes, and interactions with other program conditions. This provided an independent "reality check" on the path taken by the VIRGINIA Class cost reduction effort, guidance regarding key sensitivities and risks to be managed, and data that supported contracting for the next block of ships.
机译:当今的船舶购置环境要求以更少的钱交付更多的船舶。 VIRGINIA级潜艇计划明确面临这一挑战,其任务是到2012财年实现每艘船成本降低约4亿美元,这是增加产量的必要条件。对于VIRGINIA级而言,实现这一目标意味着对成熟的设计和数百个建造过程进行大量的降低成本的更改,以确保这些更改可以增强而不是破坏串行潜艇建造中发生的“正常”学习。学习与其他因素(例如生产率,资金状况,施工进度和劳动力的变化)之间的相互作用,使得应对这些变化及其对为实现良好学习而不断努力的影响(也称为学习曲线)变得更加复杂。 。动态模拟了VIRGINIA类计划的绩效,以便在计划条件不断变化的情况下提前确定降低成本措施可能带来的全部后果(包括间接影响)。对VIRGINIA班级计划绩效的模拟捕获了各个因素,这些因素共同改善了经典的学习曲线,例如设计成熟度,材料可用性,员工经验等,并针对历史项目绩效进行了验证。该仿真功能可用于评估潜在变化的全部影响(单独或组合使用)以及对各种不同未来情况的敏感性。该分析提供了有关不同成本降低更改的中断程度,这些更改之间的协同作用以及与其他计划条件的交互作用的见解。这为VIRGINIA级降低成本工作所采取的路径提供了独立的“真实性检查”,有关关键敏感度和要管理的风险的指南以及支持签约下一艘船的数据。

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