解算器
生产(经济)
计算机科学
分解
过程(计算)
集合(抽象数据类型)
时间范围
序列(生物学)
质量(理念)
生产线
数学优化
生产计划
工业工程
机械工程
工程类
数学
经济
认识论
操作系统
生物
哲学
宏观经济学
程序设计语言
遗传学
生态学
作者
Sebastian Wegel,Thomas Völling,Florian Sahling
标识
DOI:10.1016/j.ifacol.2022.09.558
摘要
Steel-producing firms are confronted with the challenge of determining plans that coordinate production processes across a set of processing stages. While several approaches for integrated planning of hot rolling mills have been proposed, the cold rolling process is still poorly investigated. Therefore, we present a model formulation to simultaneously form campaigns of coils in cold rolling steel plants. The model considers multiple processing stages with unrelated parallel machines, sequence-dependent setup operations and order-specific due dates. To solve the model, we propose a matheuristic based on Fix-and-Relax and Fix-and-Optimize that utilizes a production line-based decomposition strategy. The results of a numerical study are presented that replicates the realistic production environment of a real cold rolling plant and a planning horizon of up to 10 days. The proposed matheuristic consistently outperforms a commercial solver in terms of solution quality and time.
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