Abstract
A new approach to modeling the supervisor of manufacturing systems is proposed which it is based on Fuzzy Cognitive Map (FCM) Theory. In this paper the description and the construction of Fuzzy Cognitive Maps are examined. A two level control structure for manufacturing systems, where Supervisor is modeled as a FCM, is presented. Then, an FCM model for a process example is constructed and a supervisor consisted of two FCMs that are used for failure detection and decision analysis, is proposed. The application of soft computing methodologies such as FCM, in the field of manufacturing systems may contribute in the development of more autonomous and intelligent manufacturing systems.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35390-6_58
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© 1998 IFIP International Federation for Information Processing
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Stylios, C.D., Groumpos, P.P. (1998). Fuzzy Cognitive Map Model for Supervisory Manufacture Systems. In: Camarinha-Matos, L.M., Afsarmanesh, H., Marik, V. (eds) Intelligent Systems for Manufacturing. BASYS 1998. IFIP — The International Federation for Information Processing, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35390-6_12
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DOI: https://doi.org/10.1007/978-0-387-35390-6_12
Publisher Name: Springer, Boston, MA
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