Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution Problems

Alejandro Fernández Gil*, Eduardo Lalla-Ruiz, Martijn Mes, Carlos Castro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
38 Downloads (Pure)

Abstract

In this work, the Multi-Depot Green VRP with Pickups and Deliveries (MDGVRP-PD) is studied. It is a routing optimization problem in which the objective is to construct a set of vehicle routes considering multiple depots and one-to-one pickup and delivery operations that minimize emissions through fuel consumption, which depends on weight and travel distance. In one-to-one problems, goods must be transported between a single origin and its single associated destination. Practical considerations imply addressing the pickup and delivery of customers from multiple depots, where a logistics service company can efficiently combine its resources, thus reducing environmental pollution. To tackle this problem, we develop a mathematical programming formulation and matheuristic approach based on the POPMUSIC (Partial Optimization Metaheuristic under Special Intensification Conditions) framework. The results show that if the weight carried on the routes as part of the fitness measure is considered, our matheuristic approach provide an average percentage improvement in emissions of 30.79 %, compared to a fitness measure that only takes into account the distances of the routes.

Original languageEnglish
Title of host publicationComputational Logistics
Subtitle of host publication12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings
EditorsMartijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Place of PublicationCham
PublisherSpringer Science + Business Media
Pages487-501
Number of pages15
ISBN (Electronic)978-3-030-87672-2
ISBN (Print)978-3-030-87671-5
DOIs
Publication statusPublished - 22 Sep 2021
Event12th International Conference on Computational Logistics, ICCL 2021 - University of Twente (online), Enschede, Netherlands
Duration: 27 Sep 202129 Sep 2021
Conference number: 12
https://iccl2021.nl/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13004
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Computational Logistics, ICCL 2021
Abbreviated titleICCL 2021
Country/TerritoryNetherlands
CityEnschede
Period27/09/2129/09/21
Internet address

Keywords

  • Green VRP
  • Matheuristic
  • Multi-depot
  • PDVRP

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