Solution Algorithm for The Multi-period Inventory Transshipment Problem Considering Rentals and Returns

Keiya Kadota, Tetsuya Sato, Takayuki Shiina

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

Abstract

Supply chain management is a large-scale planning under uncertainty. It is significant that building an efficient supply chain under uncertain conditions is a challenge. There are numerous traditional inventory transshipment models targeting only demands but do not include rentals and returns. This study provides the uncertainty between rentals and returns by scenarios using a multi-period stochastic programming model of inventory transshipment problems. The moment matching method was used to reduce the number of scenarios, and the comparative experiment demonstrated the utility of this model.

Original languageEnglish
Title of host publicationProceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages867-872
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

  • inventory transshipment
  • stochastic programming
  • supply chain

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Solution Algorithm for The Multi-period Inventory Transshipment Problem Considering Rentals and Returns'. Together they form a unique fingerprint.

Cite this