A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows

Abstract The petrol truck routing problem is an important part of the petrol supply chain. This study focuses on determining routes for distributing petrol products from a depot to petrol stations with the objective of minimizing the total travel cost and the fixed cost required to use the trucks. W...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bohong Wang, Yongtu Liang, Meng Yuan, Haoran Zhang, Qi Liao
Formato: article
Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2019
Materias:
Q
Acceso en línea:https://doaj.org/article/3b7fd4c29bfd4a20aa13b431f21b4e41
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3b7fd4c29bfd4a20aa13b431f21b4e41
record_format dspace
spelling oai:doaj.org-article:3b7fd4c29bfd4a20aa13b431f21b4e412021-12-02T09:54:43ZA metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows10.1007/s12182-019-0316-81672-51071995-8226https://doaj.org/article/3b7fd4c29bfd4a20aa13b431f21b4e412019-04-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-0316-8https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract The petrol truck routing problem is an important part of the petrol supply chain. This study focuses on determining routes for distributing petrol products from a depot to petrol stations with the objective of minimizing the total travel cost and the fixed cost required to use the trucks. We propose a mathematical model that considers petrol trucks returning to a depot multiple times and develop a heuristic algorithm based on a local branch-and-bound search with a tabu list and the Metropolis acceptance criterion. In addition, an approach that accelerates the solution process by adding several valid inequalities is presented. In this study, the trucks are homogeneous and have two compartments, and each truck can execute at most three tasks daily. The sales company arranges the transfer amount and the time windows for each station. The performance of the proposed algorithm is evaluated by comparing its results with the optimal results. In addition, a real-world case of routing petrol trucks in Beijing is studied to demonstrate the effectiveness of the proposed approach.Bohong WangYongtu LiangMeng YuanHaoran ZhangQi LiaoKeAi Communications Co., Ltd.articlePetrol truck routing problemHeuristic algorithmValid inequalitiesTime windowsScienceQPetrologyQE420-499ENPetroleum Science, Vol 16, Iss 3, Pp 701-712 (2019)
institution DOAJ
collection DOAJ
language EN
topic Petrol truck routing problem
Heuristic algorithm
Valid inequalities
Time windows
Science
Q
Petrology
QE420-499
spellingShingle Petrol truck routing problem
Heuristic algorithm
Valid inequalities
Time windows
Science
Q
Petrology
QE420-499
Bohong Wang
Yongtu Liang
Meng Yuan
Haoran Zhang
Qi Liao
A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
description Abstract The petrol truck routing problem is an important part of the petrol supply chain. This study focuses on determining routes for distributing petrol products from a depot to petrol stations with the objective of minimizing the total travel cost and the fixed cost required to use the trucks. We propose a mathematical model that considers petrol trucks returning to a depot multiple times and develop a heuristic algorithm based on a local branch-and-bound search with a tabu list and the Metropolis acceptance criterion. In addition, an approach that accelerates the solution process by adding several valid inequalities is presented. In this study, the trucks are homogeneous and have two compartments, and each truck can execute at most three tasks daily. The sales company arranges the transfer amount and the time windows for each station. The performance of the proposed algorithm is evaluated by comparing its results with the optimal results. In addition, a real-world case of routing petrol trucks in Beijing is studied to demonstrate the effectiveness of the proposed approach.
format article
author Bohong Wang
Yongtu Liang
Meng Yuan
Haoran Zhang
Qi Liao
author_facet Bohong Wang
Yongtu Liang
Meng Yuan
Haoran Zhang
Qi Liao
author_sort Bohong Wang
title A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
title_short A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
title_full A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
title_fullStr A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
title_full_unstemmed A metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
title_sort metaheuristic method for the multireturn-to-depot petrol truck routing problem with time windows
publisher KeAi Communications Co., Ltd.
publishDate 2019
url https://doaj.org/article/3b7fd4c29bfd4a20aa13b431f21b4e41
work_keys_str_mv AT bohongwang ametaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT yongtuliang ametaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT mengyuan ametaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT haoranzhang ametaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT qiliao ametaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT bohongwang metaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT yongtuliang metaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT mengyuan metaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT haoranzhang metaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
AT qiliao metaheuristicmethodforthemultireturntodepotpetroltruckroutingproblemwithtimewindows
_version_ 1718397877140586496