Cutting stock is concerned with how to saving material, optimize resources in product designing, manufacturing.
优化下料,是一个在产品设计、制造和使用中如何节约原料、优化利用资源的问题。
参考来源 - 基于遗传退火算法板式家具大规模矩形件优化下料研究But the problems existing in cutting stock and material management have restricted their further development.
然而，目前中小型玻璃深加工企业在排料优化与物料管理上存在的问题影响、制约了企业的进一步发展。
参考来源 - 玻璃深加工产品排料优化与物料管理集成系统的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The cutting stock problem possesses important and widespread application in the engineering techniques and the industrial production.
“下料问题”在工程技术和工业生产中有着重要和广泛的应用。
One-dimensional cutting stock optimization and two-dimensional data sets optimal matching problem are mainly researched in this thesis.
本文主要研究了一维下料优化及二维数据集最佳匹配两大问题。
With the rapid development of national economy in recent years, the one-dimensional cutting stock problem occurs in many industry areas.
近年来，随着国民经济的飞速发展，一维下料问题在建筑、电力、水利等领域获得了越来越广泛的应用。
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