Genetically tuned fuzzy scheduling for flexible manufacturing systems.

Date

1997-04-25

Author

Erkmen, Aydan Müşerref
Anlagan, O
Unver, O

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper focuses on the development and implementation of a Genetically Tuned Fuzzy Scheduler (GTFS) for heterogeneous FMS under uncertainty. The scheduling system takes input from a table and creates an optimum master schedule. The GTFS uses fuzzy rulebase and inferencing where fuzzy sets are generated by a genetic algorithm to tune the optimization. The fuzzy optimization is based on time criticality in deadline and machine need, taking into account machine availability, uniformity, process time and selectability.

Subject Keywords

Intelligent scheduling, Fuzzy logic sets, Expert systems, Genetic algorithms

URI

https://hdl.handle.net/11511/53298

Conference Name

1997 IEEE International Conference on Robotics and Automation (ICRA97) - Teaming to Make an Impact

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. M. Erkmen, O. Anlagan, and O. Unver, “Genetically tuned fuzzy scheduling for flexible manufacturing systems.,” presented at the 1997 IEEE International Conference on Robotics and Automation (ICRA97) - Teaming to Make an Impact, ALBUQUERQUE, NM, 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53298.