@ARTICLE{Kochańska_Joanna_The_2024,
 author={Kochańska, Joanna and Burduk, Anna and Łapczyńska, Dagmara and Musiał, Kamil},
 volume={72},
 number={1},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e146407},
 howpublished={online},
 year={2024},
 abstract={Improving production processes includes not only activities concerning manufacturing itself, but also all the activities that are necessary to achieve the main objectives. One such activity is transport, which, although a source of waste in terms of adding value to the product, is essential to the realization of the production process. Over the years, many methods have been developed to help manage supply and transport in such a way as to reduce it to the necessary minimum. In the paper, the problem of delivering components to a production area using trains and appropriately laid-out carriages was described. It is a milk run stop locations problem (MRSLP), whose proposed solution is based on the use of heuristic algorithms. Intelligent solutions are getting more and more popular in the industry because of the possible advantages they offer, especially those that include the possibility of finding an optimum local solution in a relatively short time and the prevention of human errors. In this paper, the applicability of three algorithms – tabu search, genetic algorithm, and simulated annealing – was explored.},
 type={Article},
 title={The solution of MRSLP with the use of heuristic algorithms},
 URL={http://ochroma.man.poznan.pl/Content/128124/PDF/BPASTS-03697-EA.pdf},
 doi={10.24425/bpasts.2023.146407},
 keywords={in-plant logistics, milk run, heuristic algorithms, assembly line, genetic algorithm, tabu Search, simulated annealing},
}