Computers and Operations Research
Lot sizing and furnace scheduling in small foundries
Computers and Operations Research
Computers and Operations Research
Solving Lot-Sizing Problems on Parallel Identical Machines Using Symmetry-Breaking Constraints
INFORMS Journal on Computing
A new heuristic method for capacitated multi-level lotsizing problem with backlogging
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
A polynomial time algorithm for the stochastic uncapacitated lot-sizing problem with backlogging
IPCO'08 Proceedings of the 13th international conference on Integer programming and combinatorial optimization
Stochastic lot-sizing with backlogging: computational complexity analysis
Journal of Global Optimization
Computers and Operations Research
MIP formulations and heuristics for two-level production-transportation problems
Computers and Operations Research
Integrated pulp and paper mill planning and scheduling
Computers and Industrial Engineering
Journal of Global Optimization
A Polyhedral Study of Multiechelon Lot Sizing with Intermediate Demands
Operations Research
A computational analysis of lower bounds for big bucket production planning problems
Computational Optimization and Applications
Computers and Operations Research
Computers and Operations Research
Discrete Event Dynamic Systems
A hybrid compact genetic algorithm applied to the multi-level capacitated lot sizing problem
Proceedings of the 28th Annual ACM Symposium on Applied Computing
A hybrid cGA applied to the MLCLSP with overtime
ACM SIGAPP Applied Computing Review
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In this paper a new time-oriented decomposition heuristic is proposed to solve the dynamic multi-item multilevel lot-sizing problem in general product structures with single and multiple constrained resources as well as setup times. While lot-sizing decisions are made sequentially within an internally rolling planning interval (or lot-sizing window), capacities are always considered over the entire planning horizon. For each submodel a model formulation based on the "Simple Plant Location" representation is developed. These mixed-integer linear submodels are solved by standard mathematical programming software even for relatively large test instances. Extensive computational tests show that the heuristic proposed provides a better solution quality than a well-known special purpose heuristic.