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Human Total Ownership Cost in Complex Systems: Estimating Human Performance Cost in Environments with Multiple Layers of Technology

机译:复杂系统中的人类总体拥有成本:估算多层技术的环境中的人力性能成本

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In current practice, the Human Total Ownership Cost (HTOC) is often viewed as an acquisition cost-that is, the cost of systems that does not consider human costs other than those related to the immediate staffing, training needs and requirements. The cost of human performance, in terms of both human capabilities and limitations, is directly related to the total ownership cost (TOC) of the technology. This paper summarizes ongoing efforts for modeling complex human performance cost drivers, for identification of critical elements that define the long term impact of human performance on system design, development, production, fielding, sustainment, and improvement, throughout the system life cycle. The overall aim is to develop a methodology to better assess and predict the total cost of human and human performance as relevant to acquisition of new technologies and systems. Future challenges that decision makers are likely to face in this domain are also discussed.
机译:在目前的实践中,人类总体所有权成本(HTOC)通常被视为收购成本 - 也就是说,除了与直接人员配置,培训需求和要求相关的人之外,不考虑人类成本的系统的成本。在人类能力和局限性方面,人类绩效的成本与技术的总体所有权(TOC)直接相关。本文总结了对复杂人力绩效司机进行建模的持续努力,以确定在整个系统生命周期中确定人类绩效的长期影响的关键要素。总体目标是制定一种方法,以更好地评估和预测与收购新技术和系统相关的人类和人类性能的总成本。还讨论了决策者可能面临该领域的未来挑战。

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