In the context of the DigiLab4U international project, this paper describes a simulationbased serious game that can be used as a virtual teaching lab in higher education courses, especially in Industrial and Systems Engineering, Data Science, Management Science and Operations Research, as well as Computer Science. The learning activity focuses on understanding distribution logistics problems related to transportation optimization using different techniques. These optimization challenges include the vehicle routing problem, the arc routing problem, and the team orienteering problem. As a result of the learning process in the virtual lab, it is expected that students acquire competencies and skills related to logistics and transportation challenges as well as problem-solving. These competencies and skills can be precious for students’ future careers, since they increase students’ analytical skills, capacity to understand heuristic-based algorithms, teamwork and interdisciplinary communication skills, programming skills, and statistical abilities. A preliminary version of this training activity has already been used in MSc and PhD courses held at universities in Spain, Italy, Ireland, and Portugal.

A Heuristic-Based Simulation for an Education Process to Learn about Optimization Applications in Logistics and Transportation / Ammouriova, M.; Bertolini, M.; Castaneda, J.; Juan, A. A.; Neroni, M.. - In: MATHEMATICS. - ISSN 2227-7390. - 10:5(2022), pp. 830-848. [10.3390/math10050830]

A Heuristic-Based Simulation for an Education Process to Learn about Optimization Applications in Logistics and Transportation

Bertolini M.;Neroni M.
2022

Abstract

In the context of the DigiLab4U international project, this paper describes a simulationbased serious game that can be used as a virtual teaching lab in higher education courses, especially in Industrial and Systems Engineering, Data Science, Management Science and Operations Research, as well as Computer Science. The learning activity focuses on understanding distribution logistics problems related to transportation optimization using different techniques. These optimization challenges include the vehicle routing problem, the arc routing problem, and the team orienteering problem. As a result of the learning process in the virtual lab, it is expected that students acquire competencies and skills related to logistics and transportation challenges as well as problem-solving. These competencies and skills can be precious for students’ future careers, since they increase students’ analytical skills, capacity to understand heuristic-based algorithms, teamwork and interdisciplinary communication skills, programming skills, and statistical abilities. A preliminary version of this training activity has already been used in MSc and PhD courses held at universities in Spain, Italy, Ireland, and Portugal.
2022
10
5
830
848
A Heuristic-Based Simulation for an Education Process to Learn about Optimization Applications in Logistics and Transportation / Ammouriova, M.; Bertolini, M.; Castaneda, J.; Juan, A. A.; Neroni, M.. - In: MATHEMATICS. - ISSN 2227-7390. - 10:5(2022), pp. 830-848. [10.3390/math10050830]
Ammouriova, M.; Bertolini, M.; Castaneda, J.; Juan, A. A.; Neroni, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1277237
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