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An efficient model for the crosscut optimisation problem in a wood processing mill
DOI:10.1080/00207543.2010.538446.png)
摘要
En 中文
We propose a dynamic programming model for the crosscut optimisation problem. This problem arises in the context of cutting lumber (rip-first) in order to obtain cubic blocks (cut-pieces) with required dimensions and surface characteristics. We propose a novel approach for matching the pattern of defects on all four surfaces of an incoming strip of wood with the surface requirements of the cut-pieces as specified in a given cut-bill, and determine an effective cutting pattern for each incoming strip accordingly. Our proposed dynamic programming model results in fast execution times as shown by the results of a computational experiment. The model is deployed in a software package that has been implemented successfully in several major rough mills.
Keyword:
dynamic programming
cutting stock problem
cutting lumber
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期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W

