Genetically tuned fuzzy scheduling for flexible manufacturing systems.

Erkmen A., Erbudak M., Anlagan O., Unver O.

1997 IEEE International Conference on Robotics and Automation (ICRA97) - Teaming to Make an Impact, New-Mexico, United States Of America, 20 - 25 April 1997, pp.951-956 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: New-Mexico
  • Country: United States Of America
  • Page Numbers: pp.951-956
  • Middle East Technical University Affiliated: Yes


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.