TY - JOUR
T1 - A Decision Support System (DSS) for the heuristic allocation and routing of vehicles in urban freight transportation
AU - Castro-Bolaño, Lauren J.
AU - Uribe-Martes, Carlos J.
AU - Coronado-Hernandez, Jairo R.
AU - Ramírez-Ríos, Diana G.
AU - Herazo-Padilla, Nilson
AU - Paez-Logreira, Hayder
AU - Gatica, Gustavo
N1 - Publisher Copyright:
© 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
PY - 2021/8
Y1 - 2021/8
N2 - Solve a strategic operational problem for a company, requires mathematical modeling and computing power, therefore, it requires computational tools that contribute to decision support system (DSS). The development for the suboptimal planning and distribution of freight vehicles in its logistics network is presented. It is considered contributing to two problems NP-Hard, the allocation (strategic) and routing of vehicles with time intervals for deliveries to the customer locations (operative, known as VRPTW) in order to minimize the total travel time and cost of the logistics operation, with capacity restrictions and client’s time intervals for deliveries. Furthermore, the research considers data obtained from real scenarios, which is why they are classified as combinatorial problems on a large scale. The logistics problem involved in urban freight transportation is approached as a VRPTW, where several optimization algorithms are used to solve sub-models of the mayor complex model, resulting in hybrid solution approach that involves metaheuristics and heuristics. By using the Snow methodology, which considers cases of a company, a web-based application is developed, such as a successful DSS, which allows suboptimal solution to large-scale problems and the improvement in the urban freight logistic problem in a city of Colombia.
AB - Solve a strategic operational problem for a company, requires mathematical modeling and computing power, therefore, it requires computational tools that contribute to decision support system (DSS). The development for the suboptimal planning and distribution of freight vehicles in its logistics network is presented. It is considered contributing to two problems NP-Hard, the allocation (strategic) and routing of vehicles with time intervals for deliveries to the customer locations (operative, known as VRPTW) in order to minimize the total travel time and cost of the logistics operation, with capacity restrictions and client’s time intervals for deliveries. Furthermore, the research considers data obtained from real scenarios, which is why they are classified as combinatorial problems on a large scale. The logistics problem involved in urban freight transportation is approached as a VRPTW, where several optimization algorithms are used to solve sub-models of the mayor complex model, resulting in hybrid solution approach that involves metaheuristics and heuristics. By using the Snow methodology, which considers cases of a company, a web-based application is developed, such as a successful DSS, which allows suboptimal solution to large-scale problems and the improvement in the urban freight logistic problem in a city of Colombia.
KW - Decision Support System
KW - heuristics
KW - large-scale optimization
KW - metaheuristics
KW - urban freight transportation
KW - vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85134054221&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85134054221
SN - 1646-9895
VL - 2021
SP - 464
EP - 472
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
IS - E44
ER -