基于模糊聚类的冷轧合同组批优化方法

发布时间：2018-03-18 00:31

  本文选题：冷轧　切入点：合同组批　出处：《控制与决策》2017年01期 　论文类型：期刊论文

【摘要】：针对冷轧企业大批量生产模式与多品种、小批量的市场需求之间存在的矛盾,建立以合同交货期差异度、工艺路线差异度和调整次数最小化为目标,同时满足批次重量、出(入)口宽度、出(入)口厚度、抗拉强度等工艺约束的冷轧合同组批模型,构建了基于改进粒子群的模糊聚类算法并进行求解.利用国内某冷轧企业实际生产数据对所提出模型和算法进行了验证,结果表明,所提出的方法优于FCM算法,能够满足企业批量计划的需求.
[Abstract]:In view of the contradiction between the mass production mode of cold rolling enterprise and the market demand of many varieties and small quantities, the aim is to minimize the difference of contract delivery time, process route and adjustment times, and at the same time to meet the weight of batch. Cold rolling contract group model with outlet width, outlet thickness, tensile strength, etc. The fuzzy clustering algorithm based on improved particle swarm optimization is constructed and solved. The proposed model and algorithm are verified by the actual production data of a cold rolling mill in China. The results show that the proposed method is better than FCM algorithm. Able to meet the needs of enterprise batch planning.
【作者单位】： 安徽工业大学管理科学与工程学院;
【基金】：国家自然科学基金项目(71172219,71302056) 安徽省科技厅软科学重大项目(1502052006)
【分类号】：TG338;TP18
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本文编号：1627209