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Causal design knowledge: Alternative representation method for product development knowledge management

机译：因果设计知识：产品开发知识管理的替代表示方法

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摘要

This paper presents a mathematical comparison of procedural knowledge and causal knowledge, and discusses the potential roles and feasibility of causal knowledge across product development knowledge management. Since reuse of knowledge is so important in product development, various knowledge management approaches have been introduced. Most of the product design knowledge is represented by procedural knowledge, which unfortunately requires cumbersome processes to define, and is typically inadequate for representing the kind of knowledge generated during the product development process. A causal knowledge representation, however, can help us to overcome this limitation and is an alternative formalism for representing product design knowledge. In this paper we compare the procedural and causal knowledge representations. We present the mathematical definitions of two knowledge paradigms, then mathematically describe the relationship between the two. Both knowledge paradigms are then compared based on the perspective of knowledge expression, decision alternative representation, reasoning capability, and knowledge cultivation. This paper concludes that causal knowledge representation is superior to procedural knowledge representation based on the four perspectives. Finally, the knowledge systems are modeled using Systems Modeling Language (SysML), and we present a case study that demonstrates the causal knowledge features using a realistic example from industry.
机译：本文介绍了过程知识和因果知识的数学比较，并讨论了因果知识在产品开发知识管理中的潜在作用和可行性。由于知识的重用在产品开发中非常重要，因此引入了各种知识管理方法。大多数产品设计知识都由过程知识来表示，而过程知识很遗憾需要定义繁琐的过程，并且通常不足以表示在产品开发过程中生成的知识种类。但是，因果知识表示可以帮助我们克服此限制，并且是代表产品设计知识的替代形式主义。在本文中，我们比较了过程知识和因果知识的表示形式。我们介绍了两种知识范式的数学定义，然后以数学方式描述了两者之间的关系。然后根据知识表达，决策替代表示，推理能力和知识培养的角度对两种知识范式进行比较。本文从四个角度得出结论：因果知识表示优于过程知识表示。最后，使用系统建模语言（SysML）对知识系统进行建模，并且我们提供了一个案例研究，该案例研究使用行业中的实际示例演示了因果知识特征。

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