@inproceedings{3092a9a79d5e457c9c7921cb9dad70e2,
title = "New Valid Inequalities for a Multi-echelon Multi-item Lot-Sizing Problem with Returns and Lost Sales",
abstract = "This work studies a multi-echelon multi-item lot-sizing problem with remanufacturing and lost sales. The problem is formulated as a mixed-integer linear program. A new family of valid inequalities taking advantage of the problem structure is introduced and used in a customized branch-and-cut algorithm. The provided numerical results show that the proposed algorithm outperforms both the generic branch-and-cut algorithm embedded in a standard-alone mathematical solver and a previously published customized branch-and-cut algorithm.",
keywords = "Lot-sizing, Mixed-integer linear programming, Production planning, Remanufacturing, Valid inequalities",
author = "Franco Quezada and C{\'e}line Gicquel and Safia Kedad-Sidhoum",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 12th International Conference on Computational Logistics, ICCL 2021 ; Conference date: 27-09-2021 Through 29-09-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1007/978-3-030-87672-2\_13",
language = "English",
isbn = "9783030876715",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "192--207",
editor = "Martijn Mes and Eduardo Lalla-Ruiz and Stefan Vo{\ss}",
booktitle = "Computational Logistics - 12th International Conference, ICCL 2021, Proceedings",
}