TY - JOUR

T1 - Sustainable traveling purchaser problem with speed optimization

AU - Cheaitou, Ali

AU - Hamdan, Sadeque

AU - Larbi, Rim

AU - Alsyouf, Imad

PY - 2021

Y1 - 2021

N2 - This paper addresses a multi-objective single-product network design and operations problem that consists of selecting the suppliers, allocating the orders, routing a single vehicle to collect the purchased items, and choosing the vehicle speed levels. The objective functions minimize the purchasing and transportation costs, the fuel consumption, and consequently the CO2 emissions, and maximize the total sustainability value of the purchased products. The proposed model is an extension to the well-studied traveling purchaser problem and pollution routing problem in the sense that it integrates the social and environmental sustainability aspects in the supplier selection process in addition to cost and CO2 emissions. The model is solved using the branch-and-cut algorithm as well as a proposed genetic algorithm. An extensive numerical study shows that the proposed heuristic converges to the optimal solution in few minutes for the considered instances.

AB - This paper addresses a multi-objective single-product network design and operations problem that consists of selecting the suppliers, allocating the orders, routing a single vehicle to collect the purchased items, and choosing the vehicle speed levels. The objective functions minimize the purchasing and transportation costs, the fuel consumption, and consequently the CO2 emissions, and maximize the total sustainability value of the purchased products. The proposed model is an extension to the well-studied traveling purchaser problem and pollution routing problem in the sense that it integrates the social and environmental sustainability aspects in the supplier selection process in addition to cost and CO2 emissions. The model is solved using the branch-and-cut algorithm as well as a proposed genetic algorithm. An extensive numerical study shows that the proposed heuristic converges to the optimal solution in few minutes for the considered instances.

U2 - 10.1080/15568318.2020.1774825

DO - 10.1080/15568318.2020.1774825

M3 - Article

VL - 15

SP - 621

EP - 640

JO - International Journal of Sustainable Transportation

JF - International Journal of Sustainable Transportation

IS - 8

ER -