@ARTICLE{Matuszny_Marcin_Scheduling_2022,
 author={Matuszny, Marcin},
 volume={vol. 13},
 number={No 4},
 pages={98-106},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2022},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={The article is to present the application of genetic algorithm in production scheduling in a production company. In the research work the assumptions of the methodology were described and the operation of the proposed genetic algorithm was presented in details. Genetic algorithms are useful in complex large scale combinatorial optimisation tasks and in the engineering tasks with numerous limitations in the production engineering. Moreover, they are more reliable than the existing direct search algorithms. The research is focused on the effectivity improvement and on the methodology of scheduling of a manufacturing cell work. The genetic algorithm used in the work appeared to be robust and fast in finding accurate solutions. It was shown by experiment that using this method enables obtaining schedules suitable for a model. It},
 type={Article},
 title={Scheduling of the Manufacturing Cell Work with the Use of a Genetic Algorithm on the Example of a Flexible Production System},
 URL={http://www.czasopisma.pan.pl/Content/125644/PDF-MASTER/9_811_int.pdf},
 doi={10.24425/mper.2022.142398},
 keywords={production planning and control, production scheduling, genetic algorithm, production engineering, Production process},
}