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

Autor: Angel A. Juan, Mattia Neroni, Juliana Castaneda, Massimo BERTOLINI, Majsa Ammouriova
Přispěvatelé: Universitat Oberta de Catalunya (UOC), University of Modena and Reggio Emilia, Universitat Politècnica de València
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Mathematics; Volume 10; Issue 5; Pages: 830
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
ISSN: 2227-7390
DOI: 10.3390/math10050830
Popis: In the context of the DigiLab4U international project, this paper describes a simulation-based 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.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje