JOB-SHOP SCHEDULING DESIGN WITH ARTIFICIAL NEURAL NETWORKS

AKKAYA G., Gokcen T.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, cilt.24, sa.4, ss.121-130, 2006 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 4
  • Basım Tarihi: 2006
  • Dergi Adı: SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
  • Sayfa Sayıları: ss.121-130
  • Anahtar Kelimeler: Job - Shop scheduling, simulation, artificial networks
  • Atatürk Üniversitesi Adresli: Evet

Özet

Simulation, being capable of representing a system's behavior in an effective way, when combined with the neural networks, can provide an efficient decision making structure. In this paper, a system is developed in order to determine the machine, the material handling system and the priority rule that will be used in the system by using Simulation and neural network techniques in Job-Shop scheduling design. The backpropagation algorithm is chosen for the neural network model.