Skip to Main content Skip to Navigation
Journal articles

Evaluation of solution approaches for a stochastic lot-sizing and sequencing problem

Abstract : A stochastic multi-product lot-sizing and sequencing problem is studied. Two kinds of uncertainties are integrated into the model: defective items due to the process imperfections and random lead times because of randomly arising machine breakdowns and uncertain repair times. There are also sequence-dependent setup times between two items of different types. The objective is to find a sequence of lots and lot sizes maximizing the probability of demand satisfaction for all products. A decomposition approach has been proposed in the literature to reduce this problem to a sequence of known optimization problems with different algorithms available for each of them. However, a proper evaluation of the practical performance of the whole method has never been presented. The goal of this paper is to analyze and compare the behavior of different solution frameworks (with and without decomposition) and techniques for the considered problem.
Document type :
Journal articles
Complete list of metadata

Cited literature [32 references]  Display  Hide  Download
Contributor : Alexandre Dolgui Connect in order to contact the contributor
Submitted on : Wednesday, March 14, 2018 - 6:05:56 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Monday, September 10, 2018 - 8:15:12 PM


Files produced by the author(s)



Kseniya Schemeleva, Xavier Delorme, Alexandre Dolgui. Evaluation of solution approaches for a stochastic lot-sizing and sequencing problem. International Journal of Production Economics, Elsevier, 2018, 199, pp.179-192. ⟨10.1016/j.ijpe.2018.02.017⟩. ⟨hal-01734617⟩



Record views


Files downloads