Critical factors in information system development for a flexible manufacturing system
Computers in Industry
Logistics models in flexible manufacturing
Computers in Industry
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Complete Decomposition of Stochastic Petri Nets Representing Generalized Service Networks
IEEE Transactions on Computers
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A multi-objective genetic local search algorithm and itsapplication to flowshop scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 0.00 |
Due to the NP-complete nature of the scheduling problem of a Flexible Manufacturing System, generating a dispatching schedule to allocate resources efficiently for manufacturing of products is a complex and difficult task. It is seen that the solution is often obtained by the computer simulation which uses a dispatching rules. In this paper, we propose a Genetic Algorithm based on the Petri Net model in order to find optimal or near optimal dispatching rules under specific performance measures and restrictions. Our experiments show that the proposed approach does represent a good alternative for dispatching strategies of FMS problems.