Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns

Keiya Kadota, Tetsuya Sato, Takayuki Shiina*

*Corresponding author for this work

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

Abstract

Supply chain management is a large-scale planning under uncertainty. It is important to build an efficient supply chain under uncertain circumstances. There are numerous traditional lateral 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 lateral transshipment problems. The moment matching method was used to reduce the number of scenarios and the computation time, and the comparative experiment demonstrated the utility of this model.

Original languageEnglish
Title of host publicationModelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021
EditorsHoai An Le Thi, Hoai Minh Le, Hoai An Le Thi, Tao Pham Dinh
PublisherSpringer Science and Business Media Deutschland GmbH
Pages158-169
Number of pages12
ISBN (Print)9783030926656
DOIs
Publication statusPublished - 2022
Event4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 - Hanoi, Viet Nam
Duration: 2021 Dec 112021 Dec 13

Publication series

NameLecture Notes in Networks and Systems
Volume363 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021
Country/TerritoryViet Nam
CityHanoi
Period21/12/1121/12/13

Keywords

  • Inventory transshipment
  • Stochastic programming
  • Supply chain

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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