@inproceedings{23332f7a8d0e4008bf6b5417ded918e9,
title = "Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns",
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.",
keywords = "Inventory transshipment, Stochastic programming, Supply chain",
author = "Keiya Kadota and Tetsuya Sato and Takayuki Shiina",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2021 ; Conference date: 11-12-2021 Through 13-12-2021",
year = "2022",
doi = "10.1007/978-3-030-92666-3_14",
language = "English",
isbn = "9783030926656",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "158--169",
editor = "{Le Thi}, {Hoai An} and Le, {Hoai Minh} and {Le Thi}, {Hoai An} and {Pham Dinh}, Tao",
booktitle = "Modelling, 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",
}