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Projecting Technology Change to Improve Legacy System Support Strategies

机译:预测技术变更以改善传统系统支持策略

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摘要

Planning for the maintenance and sustainability of legacy systems often involves attempting to time the obsolescence of a component or a system of components. Serious questions arise, such as: When will critical parts no longer be available? Will the next-generation technology replacing the current technology have a serious impact on system maintenance, repair, operation, or performance? When will software systems no longer be supported? These questions, if not outright overlooked, are often answered using qualitative information, such as expert opinions, market forecasts, or supplier assurances. However, reliable quantitative methods have been developed that project the growth and diffusion of technology in time, including projecting technology substitutions, saturation levels, and performance improvements. These quantitative technology forecasts can be applied at the early, mid-life, and even end-life stages of Navy technology platforms to better plan legacy system maintenance and sustainability strategies. In practice, a quantitative technology forecast is completed to ascertain the time in the future when a technology trajectory would have a significant impact on the sustainability of a legacy technology, system, or platform. Such future projections provide reliable time-referenced information when considering cost and resource requirement trade-off strategies to maintain or replace a component or system. This paper introduces various quantitative technology forecasting techniques and illustrates their practical applications toward considering legacy system support strategies.
机译:规划遗留系统的维护和可持续性通常涉及尝试计时组件或组件系统的过时时间。出现了严重的问题,例如:什么时候不再提供关键零件?替代当前技术的下一代技术会严重影响系统的维护,维修,运行或性能吗?什么时候不再支持软件系统?这些问题,如果不能被完全忽略,通常会使用定性信息来回答,例如专家意见,市场预测或供应商保证。但是,已经开发出了可靠的定量方法,可以及时预测技术的增长和扩散,包括预测技术替代,饱和度和性能改进。这些定量技术预测可以应用于海军技术平台的早期,中期甚至最终生命阶段,以更好地规划遗留系统维护和可持续性策略。在实践中,完成了定量技术预测,以确定技术轨迹将在未来对遗留技术,系统或平台的可持续性产生重大影响的时间。在考虑维护或更换组件或系统的成本和资源需求权衡策略时,此类未来的预测提供了可靠的时间参考信息。本文介绍了各种定量技术预测技术,并说明了它们在考虑传统系统支持策略方面的实际应用。

著录项

  • 来源
    《Naval engineers journal》 |2010年第3期|p.113-120|共8页
  • 作者

    Steven R. Walk;

  • 作者单位

    Electrical Engineering Technology at Old Dominion University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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