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  • 标题:FLEET OPTIMIZATION BASED ON THE MONTE CARLO ALGORITHM
  • 本地全文:下载
  • 作者:Martin Lampa ; Andrea Samolejová
  • 期刊名称:Acta Logistica
  • 电子版ISSN:1339-5629
  • 出版年度:2020
  • 卷号:7
  • 期号:1
  • 页码:17-21
  • DOI:10.22306/al.v7i1.151
  • 出版社:Acta Logistica
  • 摘要:With the development of computers and software products, there is now greater use of quantitative methods inindustrial enterprises when making managerial decisions. One of the most applicable solutions to computer simulationalgorithms is the Monte Carlo method. The application of the Monte Carlo algorithm lies in finding a relation betweenthe individual variables, which are the solutions to the problem and represent the characteristics of random processesreproducible on computers. The aim of this article is to show the application of simulations from the Monte Carloalgorithm using the example of optimising vehicle fleet capacity so that the total daily costs spent on transporting goodsare minimal.
  • 关键词:management science; optimisation; simulation; vehicle fleet capacity; Monte Carlo algorithm
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