Artificial Neural Networks for Finite Capacity Scheduling: A Comparative Study

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GÜNERİ A. F., GUMUS A. T.

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, vol.15, no.4, pp.349-359, 2008 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 15 Issue: 4
• Publication Date: 2008
• Journal Name: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.349-359
• Yıldız Technical University Affiliated: Yes

Abstract

In this study artificial neural networks are applied for finite capacity scheduling. Utilisation of artificial neural networks on solving finite scheduling problems is examined. Also a comparative model is proposed by using multi layer perceptron (MLP) neural networks and branch-and-bound algorithm, and carried out to solve a real world problem in a job shop scheduling system.