A novel process planning schema based on process knowledge customization

Process planning, which requires a variety of knowledge of design and manufacturing, is still one of the most difficult issues in the research on computer-integrated manufacturing and also a bottleneck hampering the process of automation and digitalization of manufacturing. The basic crux of compute...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2009-09, Vol.44 (1-2), p.161-172
Main Authors: Xu, Huan-Min, Yuan, Ming-Hai, Li, Dong-Bo
Format: Article
Language:English
Subjects:
CAD/CAM
CAE) and Design
Clustering
Complexity
Computer integrated manufacturing
Computer-Aided Engineering (CAD
Customization
Digitization
Engineering
Industrial and Production Engineering
Manufacturing
Mechanical Engineering
Media Management
Original Article
Process planning
Reasoning
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Summary:Process planning, which requires a variety of knowledge of design and manufacturing, is still one of the most difficult issues in the research on computer-integrated manufacturing and also a bottleneck hampering the process of automation and digitalization of manufacturing. The basic crux of computer-aided process planning involves the diversity of manufacturing background, the complexity of decision rules, and the complexity of reasoning logic, which makes process planning increasingly difficult. To solve these problems, we address some primary issues of process planning in previous work, which involves decision logic of backward chaining reasoning, clustering, and meta-modeling for manufacturing resources. However, as of now, there is a lack of a systematic approach for process planning from the global viewpoint. The major objective of this research is to build a novel process planning schema based on process knowledge customization. The outcomes of this study lay the foundation for process planning in future rapid process preparation. Finally, an illustrative example is used to explain the novel process planning schema based on process knowledge customization.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-008-1804-y