Title
A Horizon Decomposition Approach For The Capacitated Lot-Sizing Problem With Setup Times
Abstract
We introduce horizon decomposition in the context of Dantzig-Wolfe decomposition, and apply it to the capacitated lot-sizing problem with setup times. We partition the problem horizon in contiguous overlapping intervals and create subproblems identical to the original problem, but of smaller size. The user has the flexibility to regulate the size of the master problem and the subproblem via two scalar parameters. We investigate empirically which parameter configurations are efficient, and assess their robustness at different problem classes. Our branch-and-price algorithm outperforms state-of-the-art branch-and-cut solvers when tested to a new data set of challenging instances that we generated. Our methodology can be generalized to mathematical programs with a generic constraint structure.
Year
DOI
Venue
2016
10.1287/ijoc.2016.0691
INFORMS JOURNAL ON COMPUTING
Keywords
Field
DocType
algorithms, lot sizing, branch and price
Mathematical optimization,Computer science,Branch and price,Scalar (physics),Horizon,Algorithm,Robustness (computer science),Heuristics,Sizing,Partition (number theory)
Journal
Volume
Issue
ISSN
28
3
1091-9856
Citations 
PageRank 
References 
5
0.42
19
Authors
3
Name
Order
Citations
PageRank
Ioannis Fragkos1171.30
Zeger Degraeve251745.65
Bert De Reyck354746.23