首页> 外文期刊>International Journal of Product Lifecycle Management >PLM, process, practice and provenance: knowledge provenance in support of business practices in Product Lifecycle Management
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PLM, process, practice and provenance: knowledge provenance in support of business practices in Product Lifecycle Management

机译:PLM,流程,实践和出处:在产品生命周期管理中支持业务实践的知识出处

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摘要

Structured information supports processes, but practices require unstructured, contextual and tacit knowledge. However, acquiring information system based tacit knowledge used in decision-making has been a major challenge in the last three decades. This task became even harder as technology enabled firms, especially manufacturing began to distribute their operations globally and in turn also globally distributed their decision makers. Product Lifecycle Management (PLM) involves many practices as well as processes. Singularity, cohesion and cued availability are some of the unique characteristics of these practices. Start and smart parts and Virtual Collaboration Rooms are some prevalent approaches used to address these practices. In this article, a knowledge provenance framework is used to develop a broader approach to elicit and structure some of the knowledge associated with these practices and is illustrated with an example.
机译:结构化信息支持流程,但是实践需要非结构化,上下文和隐性知识。然而,在过去的三十年中,获取用于决策的基于隐性知识的信息系统一直是一项重大挑战。随着具有技术支持的公司(尤其是制造业)开始在全球范围内分布业务,进而在全球范围内分布其决策者,这项任务变得更加艰巨。产品生命周期管理(PLM)涉及许多实践和流程。奇异性,内聚性和提示可用性是这些做法的一些独特特征。入门和智能零件以及虚拟协作室是用于解决这些问题的一些流行方法。在本文中,知识来源框架用于开发更广泛的方法来引发和构建与这些实践相关的某些知识,并通过示例进行说明。

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