Optimization of coal sector logistics processes using heuristic and metaheuristic techniques

Authors

DOI:

https://doi.org/10.24054/rcta.v1i39.1386

Keywords:

Heuristics, Metaheuristics, Artificial Intelligence, Industry 4.0, Optimization, Transport logistics

Abstract

This article presents the results of the use of optimisation tools in transport logistics processes in the coal industry. An analysis of the most suitable heuristic and meta-heuristic optimisation models for possible short-term implementation in the solution of a logistics problem in the coal sector was carried out. On the other hand, the current importance of logistic processes and the change generated by the inclusion of optimisation processes or the use of technological tools was clearly shown, which should be applicable to the different elements or needs of the coal industry.  Finally, it is recommended to identify the needs and select the best tools to contribute to and support the optimisation processes.  In this way, the inclusion of optimisation tools allows to obtain potential results in the industries related to: costs, increase customers, optimise raw materials, among others.

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Published

2022-07-28 — Updated on 2022-02-02

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How to Cite

Jaimes Cerveleón, L., & Fernández Ledesma, J. D. (2022). Optimization of coal sector logistics processes using heuristic and metaheuristic techniques. COLOMBIAN JOURNAL OF ADVANCED TECHNOLOGIES, 1(39), 93–99. https://doi.org/10.24054/rcta.v1i39.1386 (Original work published July 28, 2022)