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A math-heuristic Dantzig-Wolfe algorithm for the capacitated lot sizing problem
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- Autor/in:
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- Beteiligte Person:
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- Verlag/Körperschaft:
- Springer
- Erscheinungsjahr:
- 2012
- Medientyp:
- Text
- Schlagworte:
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- Corridor method
- Dantzig-Wolfe algorithm
- Lot sizing
- Math-heuristic (matheuristic)
- Perishability
- Beschreibung:
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- The multi-item multi-period capacitated lot sizing problem with setups (CLST) is a well known optimization problem with wide applicability in real-world production planning problems. Based on a recently proposed Dantzig-Wolfe approach we present a novel math-heuristic algorithm for the CLST. The major contribution of this paper lies in the presentation of an algorithm that exploits exact techniques (Dantzig-Wolfe) in a metaheuristic fashion, in line with the novel trend of math-heuristic algorithms. To the best of the authors' knowledge, it is the first time that such technique is employed within a metaheuristic framework, with the aim of tackling challenging instances in short computational time. © 2012 Springer-Verlag.
- Lizenz:
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- info:eu-repo/semantics/closedAccess
- Quellsystem:
- Forschungsinformationssystem der UHH
Interne Metadaten
- Quelldatensatz
- oai:www.edit.fis.uni-hamburg.de:publications/eebdbf88-aeb4-465f-8fd6-c15c61395f16