Published 2010-06-09
Keywords
- Cutting Stock Problem,
- nonlinear Programming,
- discontinuousCost
How to Cite
Abstract
In this work we introduce a new method to minimize the numberof processed objects and the setup number in a unidimensional cutting stockproblem. A nonlinear integer programming problem can be used to representthe problem studied here. The term related to the minimization of the setupnumber is a nonlinear discontinuous function, we smooth it and generate thecutting patterns using a modified Gilmore-Gomory strategy. Numerical testson a wide range of test problems are very encouraging and the new methodcompares favorably with other methods in the literature.
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References
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