TY  - JOUR
AU  - Expósito-Márquez, A.
AU  - Expósito-Izquierdo, C.
AU  - Brito-Santana, J.
AU  - Moreno-Pérez, J.A.
T1  - Greedy randomized adaptive search procedure to design waste collection routes in La Palma
LA  - eng
PY  - 2019
T2  - Computers and Industrial Engineering
SN  - 0360-8352
VL  - 137
PB  - Elsevier Ltd
AB  - This paper seeks to analyze application of a metaheuristic in the improvement in the design of routes for the collection of recyclable waste in the island of La Palma (Canary Islands, Spain). This work is a partial result of a technological and research transfer project aimed to analyze the route planning for collecting two portions of the recyclable waste, specifically paper and cardboard packaging and plastic packaging and cans, in this context. This scenario is modelled by an optimization problem termed Eco-efficient Vehicle Routing Problem. A mathematical model is proposed to formalize this problem. A Greedy Randomized Adaptive Search Procedure (GRASP) is applied to obtain approximate solutions in real-life scenarios. Its goal is to increase the amount of recyclable waste collected, prioritizing the collection of those containers with the highest fill level. Moreover, a fill level estimation of the containers based on an historical data analysis is also developed and integrated into the solution approach. The results obtained in the computational experiments reveal that the proposed solution approach is highly efficient and able to improve the current route planning according to eco-efficient metrics.
DO  - 10.1016/J.CIE.2019.106047
UR  - https://portalciencia.ull.es/documentos/5e39b3782999523aa926f35c
DP  - Dialnet - Portal de la Investigación
ER  -