New Methods to Solve Vehicle Routing Problem Considering Stochastic Demand

Masahiro Komatsu, Ryota Omori, Tetsuya Sato, Takayuki Shiina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The vehicle routing problem (VRP) determines a delivery route that minimizes the delivery cost. In this study, we consider the stochastic VRP with uncertainty and consider the variation in customer demand, which may cause a shortage of products during delivery. In this case, delivery vehicles have to return to the depot and replenish the products. We consider a model that minimizes the sum of the additional cost caused by the shortage and the normal delivery cost. In previous studies, the decomposition method using the L-shaped method was used. In this study, we improve the decomposition method to make it more efficient. In addition, we have improved the direct method of calculating the additional cost without the decomposition method by considering subtour elimination constraints. We have shown that the direct calculation method is superior in terms of time-saving.

Original languageEnglish
Title of host publicationProceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages861-866
Number of pages6
ISBN (Electronic)9781665424202
DOIs
Publication statusPublished - 2021
Event10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021 - Virtual, Online, Japan
Duration: 2021 Jul 112021 Jul 16

Publication series

NameProceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021

Conference

Conference10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
Country/TerritoryJapan
CityVirtual, Online
Period21/7/1121/7/16

Keywords

  • stochastic programming
  • subtour elimi-nation constraint
  • vehicle routing problem (VRP)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Education

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