New valid inequalities for a multi-echelon multi-item lot-sizing problem with returns and lost sales
Résumé
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-andcut algorithm embedded in a standard-alone mathematical solver and a previously published customized branch-and-cut algorithm.
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