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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References

Abarca, J. D. C. P., Bahena, B. M., & Urbano, J. E. (2021). Industria 4.0. Inventio. La génesis de la cultura universitaria en Morelos.

Arango Serna, M. D., Gil Gomez, H., & Zapata Cortés, J. A. (2009). Logística esbelta aplicada al transporte en el sector minero. Boletín de Ciencias de la Tierra, (25), 121-136.

Ficarella, E., Lamberti, L., & Degertekin, S. O. (2021). Comparison of three novel hybrid metaheuristic algorithms for structural optimization problems. Computers & Structures, 244, 106395.

Goodarzian, F., Kumar, V., & Abraham, A. (2021). Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics. Soft Computing, 25(11), 7527-7557.

Goodarzian, F., Wamba, S. F., Mathiyazhagan, K., & Taghipour, A. (2021). A new bi-objective green medicine supply chain network design under fuzzy environment: Hybridmetaheuristic algorithms. Computers & Industrial Engineering, 160, 107535.

L. Man-zhi, Z. Mei-hua, L. Xue-qing, and Y. Ji-xian. (2009). The research on modeling of coal supply chain based on objectoriented Petri net and optimization, Procedia Earth Planet. Sci., vol. 1, no. 1, pp. 1608–1616.

M. T. Melo, S. Nickel, and F. Saldanha-da-Gama. (2012). A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon, Int. J. Prod. Econ., vol. 136, no. 1, pp. 218–230.

Parra, P. Y., Arond, E., Strambo, C., & Araújo, J. V. (2021). El ocaso del carbón y la necesidad de una transición justa en Colombia.

Plan Estratégico Departamental de Ciencia Tecnología e Innovación PEDCTI 2014-2020. (2014). pp. 434–440.

Rivera, F. C., Hermosilla, P., Delgadillo, J., & Echeverría, D. (2021). Propuesta de construcción de competencias de innovación en la formación de ingenieros en el contexto de la industria 4.0 y los objetivos de desarrollo sostenible (ODS). Formación universitaria, 14(2), 75-84.2.

Rubio, L. R., Mas, F., Martín-Mariscal, A., & Álvarez, E. P. (2021). Carbon footprint management in the aerospace industry: circular economy and plm environment in industry 4.0 contexts. sinergias en la investigación en stem, 63.9.

S. Yu, C. Ding, and K. Zhu. (2011). A hybrid GA-TS algorithm for open vehicle routing optimization of coal mines material, Expert Syst. Appl., vol. 38, no. 8, pp. 10568–10573.

Sánchez Martínez, L. (2021). La Industria 4.0 y la transformación digital.

Uribe-Vélez, J., Avila-Roa, L., & Chacón-Ramírez, E. A. (2021). Sistema de gestión de energía bajo el paradigma de Industria 4.0. Revista Ingenio, 18(1), 33-40.

X.-C. Dong and G.-X. Wang. (2012). Coal Logistics Competency Strategies for Ports in the Tianjin and Hebei Regions around the Bohai Bay in China, Energy Procedia, vol. 17, pp. 436–443.

Y. Xiao and A. Konak. (2016). A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem, J. Clean. Prod., pp. 1–14, 2016.

Published

2022-07-28 — Updated on 2022-02-02

How to Cite

[1]
L. Jaimes Cerveleón and J. D. Fernández Ledesma, “Optimization of coal sector logistics processes using heuristic and metaheuristic techniques”, RCTA, vol. 1, no. 39, pp. 93–99, Feb. 2022.