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A multi-objective hot-rolling scheduling problem in the compact strip production

机译：紧凑型带钢生产中的多目标热轧调度问题

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This paper addresses a hot-rolling scheduling problem from compact strip production processes. At first, a mathematical model that consists of two coupled sub-problems is presented. The first sub-problem is the sheet strip assignment problem that is about how to assign sheet-strips to rolling-turns with the objective of minimizing virtual sheet-strips. The second is the sheet-strip sequencing problem that is about how to sort the sheet-strips in each rolling-turn with the objective of minimizing the maximal changes in thickness between adjacent sheet-strips and the change times of the thickness so as to ensure high quality sheet-strips to be produced. And then, an improved hot-rolling scheduling heuristic is proposed to solve the sheet-strip assignment problem. A multi-objective evolutionary algorithm is developed to find the Pareto optimal or near-optimal solutions for the sheet-strip sequencing problem. Besides, the problem-specific knowledge is explored. The key operators including crossover operator, mutation operator and repair operator are designed for the multi-objective evolutionary algorithm. At last, extensive experiments based on real-world instances from a compact strip production process are carried out. The results demonstrate the effectiveness of the proposed algorithms for solving the hot-rolling scheduling problem under consideration. (C) 2019 Elsevier Inc. All rights reserved.
机译：本文解决了紧凑型带钢生产过程中的热轧调度问题。首先，提出了一个由两个耦合子问题组成的数学模型。第一个子问题是薄板条分配问题，该问题是关于如何将薄板条分配给轧制车削，以最小化虚拟薄板条的目的。第二个是条带排序问题，该问题是关于如何在每个轧制弯道中对条带进行分类的，目的是最大程度地减少相邻条带之间的最大厚度变化和厚度变化时间，从而确保可以生产高质量的薄板条。然后，提出了一种改进的热轧调度启发式算法来解决薄带分配问题。开发了一种多目标进化算法，以找到针对条带排序问题的帕累托最优或接近最优解。此外，还探讨了特定于问题的知识。针对多目标进化算法设计了交叉算子，变异算子和修复算子等关键算子。最后，根据紧凑型带钢生产过程中的实际实例进行了广泛的实验。结果证明了所提出的算法解决所考虑的热轧调度问题的有效性。 （C）2019 Elsevier Inc.保留所有权利。

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