Abstract
The paper presents an artificial intelligence approach to simulation and scheduling discrete manufacturing processes (DMP) in a failure modes. It presents a knowledge based model of DMP for the failure mode and a new conception of solving of failure control problem. The solving method is based on formal description of DMP given by the algebraic-logical meta model (ALMM). Authors propose the application of FMEA method to determine RPN coefficients that allows to choose simulation experiments for failure modes. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Sekowski, H., & Dudek-Dyduch, E. (2012). Knowledge based model for scheduling in failure modes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7268 LNAI, pp. 591–599). Springer Verlag. https://doi.org/10.1007/978-3-642-29350-4_70
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