A study of factors affecting due date predictibility for on-time delivery in a dynamic job shop

ALPAY Ş., Yuzugullu N.

19th Australian Joint Conference on Artificial Intelligence, Hobart, Avustralya, 4 - 08 Aralık 2006, cilt.4304, ss.1239-1240 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 4304
  • Basıldığı Şehir: Hobart
  • Basıldığı Ülke: Avustralya
  • Sayfa Sayıları: ss.1239-1240
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In this research, the factors have significant effect on due date predictability for on time delivery in a dynamic job shop were studied. For this aim a new due date assignment model was proposed and an experimental study in a simulated dynamic job shop was performed. The results indicate that the proposed due date assignment model is adequate to meet the assigned due dates for on time delivery and the number of jobs in the queues of the machines on a job's route is the most important factor affects the due date predictability.