Abstract
In this paper an approach to manufacturing processes modeling and knowledge based decision making at manufacturing process planning is proposed. The main objective is to develop advanced decision support software tools for CAD/CAPP/CAM and flexible manufacturing systems. Earlier experiences of authors revealed characteristics of decision making at manufacturing process planning. Manufacturing processes modeling by process features is proposed. Integration of process planning with production scheduling in a common knowledge based decision making environment was promoted by application of non-linear process models. Petri net formalism has been chosen for representating process features. Process features are attached to feature based model entities of mechanical parts. For product model the STEP approach is followed. Finally, the knowledge representation and evaluation of the models during manufacturing process planning are outlined.
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© 1996 Springer Science+Business Media Dordrecht
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Horváth, L., Rudas, I.J., Camarinha-Matos, L.M. (1996). Structured Model Representation of Manufacturing Processes Using Petri Nets and Knowledge Based Tools. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds) Balanced Automation Systems II. BASYS 1996. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35065-3_47
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DOI: https://doi.org/10.1007/978-0-387-35065-3_47
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