A Last Mile Delivery Problem with Multitrip and Time Window Constraints in E-Logistics

Duygu Nurcan Kızgın, Ferhan Çebi*

*Corresponding author for this work

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

Abstract

Last mile delivery constitutes a major portion of e-logistics costs. In this study, we studied a last mile delivery problem to minimize the urban delivery costs of a company in the retail distribution sector under time window constraints and multi-trip distribution considerations. The company prioritizes customer satisfaction, so minimization of order delivery times is a secondary goal. For this purpose, we developed a mathematical model that will deliver the orders to the customer in the best delivery time window at the minimum cost. The study contributes to the literature as it is an original and a rarely studied subject. In order to solve the problem, we developed a Multifunctional Multi-trip Symmetric Closed Loop Vehicle Routing Problem with Time Windows. We developed and solved an integer programming model and compared the findings with the current situation in the company. Our findings show that our suggested model can provide approximately 32% cost advantage.

Original languageEnglish
Title of host publicationIndustrial Engineering in the Industry 4.0 Era - Selected Papers from ISPR2023
EditorsNuman M. Durakbasa, M. Güneş Gençyılmaz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages487-498
Number of pages12
ISBN (Print)9783031539909
DOIs
Publication statusPublished - 2024
EventInternational Symposium for Production Research, ISPR 2023 - Antalya, Turkey
Duration: 5 Oct 20237 Oct 2023

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceInternational Symposium for Production Research, ISPR 2023
Country/TerritoryTurkey
CityAntalya
Period5/10/237/10/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • e-logistic
  • integer programming model
  • last mile delivery
  • multi-trip
  • time window series

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