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.
- Manufacturing Engineering Division
Towards Knowledge Based Process Planning Support for CAPP-4-SMEs: Problem Description, Relevant State of the Art and Proposed Approach
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Miltner, F, Vogel, T, & Hemmje, M. "Towards Knowledge Based Process Planning Support for CAPP-4-SMEs: Problem Description, Relevant State of the Art and Proposed Approach." Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing. Detroit, Michigan, USA. June 9–13, 2014. V001T04A019. ASME. https://doi.org/10.1115/MSEC2014-4056
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