OPTIMIZING TOOL DISPENSATION FROM METALLURGICAL STORE THROUGH MONTE CARLO ALGORITHM BASED SIMULATION

1 LAMPA Martin
Co-authors:
1 SAMOLEJOVÁ Andrea 1 SIKOROVÁ Andrea
Institution:
1 VŠB – Technical University of Ostrava, Ostrava, Czech republic, EU, martin.lampa@vsb.cz, andrea.samolejova@vsb.cz, andrea.sikorova@vsb.cz
Conference:
25th Anniversary International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 25th - 27th 2016
Proceedings:
Proceedings 25th Anniversary International Conference on Metallurgy and Materials
Pages:
1912-1917
ISBN:
978-80-87294-67-3
ISSN:
2694-9296
Published:
14th December 2016
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
119 views / 32 downloads
Abstract

With the development of computers and software products, there is now greater use of quantitative methods in industrial enterprises when making managerial decisions. One of the most applicable solutions to computer simulation algorithms is the Monte Carlo method. The application of the Monte Carlo algorithm lies in finding a relation between the individual variables, which are the solutions to the problem and represent the characteristics of random processes reproducible on computers. The Monte Carlo algorithm is well applicable in a variety of metallurgical production processes. Metallurgical processes have different specifics with which to be reckoned with, eg. prioritizing service workers when dispensing tools from maintenance men.The aim of this article is to show the application of simulations from the Monte Carlo algorithm using the example of optimising tool dispensation from metallurgical store.

Keywords: Management science; optimisation; simulation; Monte Carlo algorithm

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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