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A Facilitated Expert-Based Approach to Architecting 'Prizeable' Complex Systems

机译:促进基于专家的架构“索引”复杂系统的方法

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This study builds on the premise that open innovation methods can be effectively applied to more complex engineered systems through a particular kind of decomposition, one that decouples parts that are suitable for (1) distant expert serch. (2) sampling from the right tail, and (3) force multiplying. This paper develops and demonstrates a method that leverages a facilitated expert workshop to elicit those kinds of "prizeable" problems. Our research context - the NASA Asteroid Grand Challenge - had previously suffered from the perception that there was no meaningful role for open innovation methods to play since the physics was such that observation is dominated by contributions from institutional players. However, through our workshop, we both demonstrated that prizeable subproblems exist - even in this highly complex system - and that the proposed approach is capable of eliciting them. The paper concludes by reflecting on the implications of this exercise for open innovation in general.
机译:本研究建立在前提下,可以通过特定的分解可以有效地将开放的创新方法有效地应用于更复杂的工程系统,其中一个适用于(1)遥控专家Serch的零件。 (2)从尾部采样,(3)力倍增。本文开发并展示了一种利用便利的专家研讨会来引发这些类型的“索引”问题的方法。我们的研究背景 - 美国宇航局小行星大挑战 - 此前曾遭受过的看法,因为物理学使得物理学是由机构球员的贡献主导地位,因此对开放创新方法没有有意义的作用。然而,通过我们的研讨会,我们都证明了索引的子问题存在 - 即使在这种高度复杂的系统中,也能够引发他们的方法。本文通过反映了本次练习的含义,以普遍的开放创新的影响结束。

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