Abstract
In this study finite scheduling and artificial neural networks are applied for finite capacity planning. Utilisation of artificial neural networks on solving finite scheduling problems is examined. Also a model is developed by using multi layer perceptron (MLP) networks and carried out to solve a real world problem in a job shop scheduling system, in an automotive firm.
Keywords
Artificial neural network
Automotive industry
Scheduling (production processes)
Computer science
Job shop scheduling
Artificial intelligence
Perceptron
Mathematical optimization
Engineering
Mathematics
Schedule
Subject Areas
Scheduling and Optimization Algorithms
·Industrial and Manufacturing Engineering ·Physical Sciences
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Fuzzy Logic and Control Systems
·Artificial Intelligence ·Physical Sciences
Citations by Year
2015: 2
2016: 2
2017: 1
2018: 1
2020: 2
2021: 2
2022: 1
2024: 1
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Decent work and economic growth 41%
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