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, Amerika Birleşik Devletleri, 20 - 25 Nisan 1997, ss.951-956 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: New-Mexico
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.951-956
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.