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- W2078942251 abstract "This paper presents an evaluation of four different sequential approaches to solving the one-dimensional cutting-stock problem in an industrial setting where trim loss and pattern changes costs are of importance. The evaluation is made with sample problems generated from data of a manufacturing company as well as with real problems. Triangular distributions, which are representative of many practical environments, are introduced as proxies to the distribution of the lengths required. Conclusions are drawn based on the various problem sizes and distributions tested." @default.
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- W2078942251 date "1995-08-01" @default.
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- W2078942251 title "Solving a one-dimensional cutting-stock problem in a small manufacturing firm: a case study" @default.
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- W2078942251 doi "https://doi.org/10.1080/07408179508936765" @default.
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