A Systems Engineering Framework for Navigating Complexity

Dean Beale, Andrew C Pickard, Dorothy McKinney, Ricardo Valerdi
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Abstract

The Cynefin Framework is a popular framework primarily designed to help leaders make strategic decisions in complex systems. Its popularity can be associated with the simplification of many complexity concepts into an accessible framework. It uses simple, complicated, complex and chaotic terms as its foundation. The INCOSE Complex Systems Working Group has been working on Complexity understanding and how it relates to Systems Engineers since 2006. This work has led to the evolution of these same terms within INCOSE. This paper explores the structure of the Cynefin framework and sees if that structure can be used with the most recently defined terms to develop a new tool that is more relevant to Systems Engineers in navigating complexity. This work led to the development of the Pleko framework. Testing of the framework indicates that the Pleko framework is useful for removing unnecessary complexity. Further, the Pleko Framework was compared to the COSYSMO model, which uses similar axes but was developed independently. This enables the two models to be combined, suggesting that the cost and benefits of complexity mitigation strategies, should they be required, can be estimated to inform decision-making on how best to proceed.

导航复杂性的系统工程框架
Cynefin框架是一个流行的框架,主要用于帮助领导者在复杂系统中做出战略决策。它的流行可能与将许多复杂性概念简化为可访问的框架有关。它以简单、复杂、复杂和混沌的术语为基础。自2006年以来,INCOSE复杂系统工作组一直致力于复杂性理解及其与系统工程师的关系。这项工作导致了INCOSE内部这些相同术语的演变。本文探讨了Cynefin框架的结构,并查看该结构是否可以与最新定义的术语一起使用,以开发与系统工程师在导航复杂性方面更相关的新工具。这项工作导致了Pleko框架的发展。对该框架的测试表明,Pleko框架有助于消除不必要的复杂性。此外,将Pleko框架与COSYSMO模型进行了比较,COSYSMO模型使用相似的轴,但独立开发。这使两种模型能够结合起来,表明如果需要,可以估算缓解复杂性战略的成本和效益,从而为决策提供关于如何最好地进行的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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