[QGK18] Stochastic lot-sizing for remanufacturing planning with lost sales and returns

Conférence Internationale avec comité de lecture : IWLS, August 2018, Brazil,

Auteurs: F. Quezada , C. Gicquel , S. Kedad-Sidhoum

motcle:

Résumé: We propose a branch-and-cut framework to solve the resulting large-size mixed integer linear program. The algorithm relies on a new set of valid inequalities obtained by mixing previously known path inequalities. These valid inequalities increase exponentially in the number of nodes in the scenario tree. We provide an efficient cutting-plane generation strategy to identify the useful subset of this class. Our computational experiments show that the proposed method is capable of significantly decreasing the computation time needed to obtain guaranteed optimal solutions.

BibTeX

@inproceedings {
	QGK18,
	title	=	"{Stochastic lot-sizing for remanufacturing planning with lost sales and returns}",
	author	=	" F. Quezada and C. Gicquel and S. Kedad-Sidhoum ",
	booktitle	=	"{IWLS}",
	year	=	2018,
	month	=	"August",
	address	=	" Brazil",
}