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Abstract

The formulation of an industrial cutting stock problem often differs from the standard model. We present here the result of a feasibility study for an existing paper mill. The code is based on a column generation scheme to solve the linear relaxation and on heuristics to reconstruct integral feasible solutions. The results are compared with the current manual implementation at the factory. The approach allows an 85% reduction of the optimality gap in average.

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© 2002 Springer Science+Business Media New York

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Nicoletti, L.M., Stauffer, G., Vial, JP. (2002). An Industrial Cutting Stock Problem. In: Zaccour, G. (eds) Decision & Control in Management Science. Advances in Computational Management Science, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3561-1_16

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  • DOI: https://doi.org/10.1007/978-1-4757-3561-1_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4995-0

  • Online ISBN: 978-1-4757-3561-1

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