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Development trends in the sensor technology: a new BCG matrix analysis as a potential tool of technology selection for a sensor suite

机译:传感器技术的发展趋势:新型BCG矩阵分析可作为传感器套件技术选择的潜在工具

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This paper presents a new variant of the Boston Consulting Group matrix analysis and applies it on sensor technologies. This classifies technologies in four classes on the basis of application growth rate of technology on one axis and competence available on the other. The quadrant, with high competence and increasing application growth rate, will be the most favored one and called star. The star technologies need application-oriented research with low risk, but they need money for design and development. A new sensor suite can select these technologies if the product development time available is roughly two to three years. The quadrant with low competence but high application growth rate is the question mark. The question mark technologies need intense R&D efforts, and they involve money and high to moderate risk. These technologies can be selected if product development time available is roughly more than three years. The technologies with low or falling application growth rate, but high competence available, are cash cows. These technologies are readily available (sometimes with production agencies), need absolutely no research, and a little bit of design or application orientation. In the cases where products are immediately needed, they have to be cheaper and do not need to last long technology wise; these can be selected. Finally, the quadrant with low competence and low application growth rate is called dogs, and such technologies can be left during consideration. Time and cost frames have also been well discussed. The role of development trends in prediction of technological evolution through a new BCG matrix is a new aspect introduced in this paper. As an example, this paper applies the above analysis in the area of night vision. This analysis can broadly guide the design of future sensor suites.
机译:本文介绍了波士顿咨询集团矩阵分析的一种新形式,并将其应用于传感器技术。根据一轴技术的应用增长率和另一轴可用的能力,将技术分为四类。象限具有较高的竞争力和不断增长的应用增长率,将成为最受欢迎的象限,并且被称为星级。明星技术需要低风险的面向应用的研究,但他们需要资金进行设计和开发。如果可用的产品开发时间大约为两到三年,则新的传感器套件可以选择这些技术。能力低但应用程序增长率高的象限是问号。问号技术需要大力的研发工作,并且涉及金钱和高至中等风险。如果可用的产品开发时间大约超过三年,则可以选择这些技术。应用程序增长率低或下降但可用能力高的技术是摇钱树。这些技术很容易获得(有时与生产机构一起使用),完全不需要研究,并且只需一点​​点设计或面向应用程序。在立即需要产品的情况下,它们必须便宜并且不需要长期使用技术。这些可以选择。最后,具有较低能力和较低应用程序增长率的象限称为“狗”,可以在考虑过程中保留此类技术。时间和成本框架也得到了很好的讨论。通过新的BCG矩阵,发展趋势在预测技术发展中的作用是本文介绍的一个新方面。例如,本文将上述分析应用于夜视领域。该分析可以广泛地指导未来传感器套件的设计。

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