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Assessing Risk of Innovation and Technology Adoption Using the Value-Derivative Model

机译:价值衍生模型评估创新和技术采用的风险

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摘要

Today's manufacturing systems and equipment must perform at levels thought impossible a decade ago. Companies must push operations, quality, and efficiencies to unprecedented levels while holding down costs. In this new economy, companies must be concerned with market shares, equity growth, market saturation, and profit. U.S. manufacturing is no exception and is a prime example of businesses forced to adapt to constant and rapid changes in customer needs and product mixes, giving rise to the term 'Agile Manufacturing'. The survival and ultimate success of the American Manufacturing economy may depend upon its ability to create, innovate, and quickly assess the impact that new innovations will have on its business practices. Given the need for flexibility, companies need proven methods to predict and measure the impact that new technologies and strategies will have on overall plant performance from an enterprise perspective. The Value-Derivative Model provides a methodology and approach to assess such impacts in terms of energy savings, production increases, quality impacts, emission reduction, and maintenance and operating costs as they relate to enabling and emerging technologies. This is realized by calculating a set of first order sensitivity parameters obtained from expanding a Taylor Series about the system's operating point. These sensitivity parameters are invariant economic and operational indicators that quantify the impact of any proposed technology in terms of material throughput, efficiency, energy usage, environmental effects, and costs. These parameters also provide a mechanism to define metrics and performance measures that can be qualified in terms of real economic impact. Value-Derivative Analysis can be applied across all manufacturing and production segments of our economy and has found specific use in steel and textiles. Where economic models give the cost of conducting a business, Value-Derivative Analysis provides the cost to conduct business. Benefits derived from conducting a Value-Derivative Analysis include: 1. Reduced operating, support and life-cycle costs through a better understanding of technology impacts 2. Energy and waste stream reduction impacts through integrated modeling 3. Identification of technologies that are cost-sensitive to infrastructure 4. Defensible technology selection 5. Identification of cross-cutting technologies 6. Ability to map technology needs onto functional requirements 7. Track technology and innovation impacts on the enterprise 8. Determine true worth of technologies and total cost of ownership.
机译:今天的制造系统和设备的性能必须达到十年前不可能达到的水平。公司必须在降低成本的同时将运营,质量和效率提升到前所未有的水平。在这种新的经济中,公司必须关注市场份额,股权增长,市场饱和度和利润。美国制造业也不例外,它是企业被迫适应客户需求和产品结构的持续快速变化的典型例子,从而产生了“敏捷制造”一词。美国制造业经济的生存和最终成功可能取决于其创造,创新和快速评估新创新对其业务实践的影响的能力。考虑到灵活性的需求,公司需要采用行之有效的方法来从企业的角度预测和衡量新技术和策略对整个工厂绩效的影响。价值衍生模型提供了一种方法和方法,以评估与节能和新兴技术相关的节能,增产,质量影响,减排以及维护和运营成本方面的影响。这是通过计算围绕系统工作点扩展泰勒级数获得的一组一阶灵敏度参数来实现的。这些敏感度参数是不变的经济和运行指标,可以根据材料的通过量,效率,能源使用,环境影响和成本来量化任何提议技术的影响。这些参数还提供了一种机制,可以定义可以根据实际经济影响进行限定的指标和绩效指标。价值导数分析可应用于我们经济的所有制造和生产领域,并且已发现其在钢铁和纺织品中的特定用途。经济模型给出了开展业务的成本,而价值导数分析则提供了开展业务的成本。进行价值导数分析的收益包括:1.通过更好地了解技术影响来降低运营,支持和生命周期成本; 2.通过集成建模来减少能源和废物流的影响; 3.确定对成本敏感的技术到基础设施4.选择可辩护的技术5.识别交叉技术6.能够将技术需求映射到功能需求上7.跟踪技术和创新对企业的影响8.确定技术的真实价值和总拥有成本。

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