Hybrid variable neighborhood search for batch scheduling of hot rolled steel tube

Zixuan Wu, Li Tieke, Bailin Wang
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引用次数: 2

Abstract

Market demand of hot rolled seamless steel tube has the characteristics of multi-varieties and small batch. To meet the market demand and satisfy production requirements of seamless steel tube enterprises, this paper considers the machine maintenance factors and proposes a batch scheduling model. The model takes the machine adjustment and the idle time as optimization objective. To solve the problem, a hybrid variable neighborhood search combined with simulated annealing is designed. Experimental results show the feasibility and effectiveness of the model and algorithm.
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热轧钢管批量调度的混合变量邻域搜索
热轧无缝钢管的市场需求具有品种多、批量小的特点。为满足市场需求,满足无缝钢管企业的生产要求,考虑机器维修因素,提出了批量调度模型。该模型以机床调整和闲置时间为优化目标。为了解决这一问题,设计了一种结合模拟退火的混合变量邻域搜索方法。实验结果表明了该模型和算法的可行性和有效性。
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