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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorVANDERBECK, François
dc.date.accessioned2024-04-04T02:44:09Z
dc.date.available2024-04-04T02:44:09Z
dc.date.issued2000
dc.identifier.issn0030-364X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191383
dc.description.abstractEnThe cutting stock problem is that of finding a cutting of stock material to meet demands for small pieces of prescribed dimensions while minimising the amount of waste. Because changing over from one cutting pattern to another involves significant setups, an auxiliary problem is to minimise the number of different patterns that are used. The pattern minimisation problem is significantly more complex, but it is of great practical importance. In this paper, we propose an integer programming formulation for the problem that involves an exponential number of binary variables and associated columns, each of which corresponds to selecting a fixed number of copies of a specific cutting pattern. The integer program is solved using a column generation approach where the subproblem is a nonlinear integer program that can be decomposed into multiple bounded integer knapsack problems. At each node of the branch-and-bound tree, the linear programming relaxation of our formulation is made tighter by adding super-additive inequalities. Branching rules are presented that yield a balanced tree. Incumbent solutions are obtained using a rounding heuristic. The resulting branch-and-price-and-cut procedure is used to produce optimal or approximately optimal solutions for a set of real-life problems.
dc.language.isoen
dc.publisherINFORMS
dc.title.enExact Algorithm for Minimising the Number of Setups in the One-Dimensional Cutting Stock Problem
dc.typeArticle de revue
bordeaux.journalOperations Research
bordeaux.page915-926
bordeaux.volume45
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue5
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierinria-00342639
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00342639v1
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