首页> 外文会议>ASME international manufacturing science and engineering conference >TOWARDS KNOWLEDGE BASED PROCESS PLANNING SUPPORT FOR CAPP-4-SMES: PROBLEM DESCRIPTION, RELEVANT STATE OF THE ART AND PROPOSED APPROACH
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TOWARDS KNOWLEDGE BASED PROCESS PLANNING SUPPORT FOR CAPP-4-SMES: PROBLEM DESCRIPTION, RELEVANT STATE OF THE ART AND PROPOSED APPROACH

机译:面向CAPP-4-SMES的基于知识的过程计划支持:问题描述,相关技术和拟议方法

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Knowledge sharing approaches enable collaborative process-oriented planning in adaptive and highly dynamic, i.e., innovation and therefore change-driven, cross-organizational production environments. Externalization of knowledge as well as knowledge and process formalization is the key enabling factors for supporting collaborative production process planning. Beyond that SMEs request for a standardized production-planning oriented knowledge and feature representation. Semantic Web- and at the same time Cloud-based application s solutions which are based on process-driven knowledge representation methodologies such as WPIM can satisfy these needs, support intelligent collaboration, being able to cope with high change dynamics and therefore support boosting overall adaptiveness of production processes. Furthermore semantic knowledge representation and semantic querying add value to knowledge-based Computer-Aided Process Planning and, finally, pave the way towards automating planning, simulation and optimization.
机译:知识共享方法可在自适应且高度动态的即创新的环境中进行面向过程的协作计划,从而在创新的驱动下实现跨组织的生产环境。知识的外部化以及知识和过程的形式化是支持协同生产过程计划的关键因素。除此之外,中小型企业还要求以标准化的生产计划为导向的知识和特征表示。基于WPIM等基于流程驱动的知识表示方法的基于语义的Web以及基于云的应用程序解决方案可以满足这些需求,支持智能协作,能够应对高动态变化,从而支持提高整体适应性生产过程。此外,语义知识表示和语义查询为基于知识的计算机辅助过程计划增加了价值,并最终为自动化计划,模拟和优化铺平了道路。

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