Design and Development of Material and Information Flow for Supply Chaıns Using Genetic Cellular Networks = Genetik Hücresel Yapay Sinir Ağ Yapıları Kullanılarak Tedarik Zincirleri için Bilgi ve Malzeme Akışının Geliştirilmesi

In a recent paper by authors (Ziarati and Ucan, January 2001) a Back Propagation-Artificial Neural Network (BP-ANN) was adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. It was argued that due to the learning ability of neural networks, their sp...

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Bibliographic Details
Main Authors: Erdem BİLGİLİ, Osman N. UÇAN, David STOCKTON, Martin ZIARATI
Format: Article
Language:English
Published: Dogus University 2002-01-01
Series:Doğuş Üniversitesi Dergisi
Subjects:
Online Access:http://journal.dogus.edu.tr/index.php/duj/article/view/211