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.
Keywords
Artificial neural network
Computer science
Scheduling (production processes)
Perceptron
Job shop scheduling
Artificial intelligence
Mathematical optimization
Mathematics
Schedule
Subject Areas
Scheduling and Optimization Algorithms
·Industrial and Manufacturing Engineering ·Physical Sciences
Citations by Year
2013: 1
2015: 1
2016: 1
2017: 1
2018: 1
OpenAlex SDG Match
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Decent work and economic growth 69%
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