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A Fast Heuristic Algorithm for Ladle Scheduling Based on Vehicle Routing Problem with Time Windows Model

机译:带时间窗模型的车辆路径问题的钢包调度快速启发式算法

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In the process of steelmaking and continuous casting production, an optimized ladle schedule will greatly reduce energy consumption and improve production. The ladle scheduling problem can be modeled as vehicle routing problem with time windows (VRPTW) and extra constraints. The main extra constraint is that components of the ladle, at the right time, have to be repaired no later than serving certain number of heats. The objective of ladle scheduling problem is minimizing the number of serving ladles and reducing the waiting time between serving two adjacent heats. According to the serving process of ladles, a mathematical model is established to solve this specific problem. In this paper, a three-step heuristic algorithm with time complexity of O(n ~(2)) is proposed, which is based on characteristics of the model and some preliminary experiments. The algorithm has been tested by several practical instances from a steel plant in China. Comparing with the schedules used in actual production, the computational results show that our algorithm optimizes the ladle schedules and solves the problem in less than 1 second, which proves the algorithm’s efficiency.
机译:在炼钢和连铸生产过程中,优化钢包调度将大大降低能耗并提高产量。钢包调度问题可以建模为具有时间窗(VRPTW)和额外约束的车辆路由问题。主要的额外限制是,必须在正确的时间对钢包的各个部件进行维修,直到维修一定数量的热量为止。钢包调度问题的目的是最大程度地减少钢包的数量并减少在两个相邻钢水之间的等待时间。根据钢包的使用过程,建立了数学模型来解决该特定问题。本文基于模型的特点和一些初步的实验,提出了一种三步启发式算法,其时间复杂度为O(i> n〜(2))。该算法已通过中国一家钢铁厂的几个实际实例进行了测试。与实际生产中使用的时间表进行比较,计算结果表明,我们的算法优化了钢包时间表,并在不到1秒的时间内解决了问题,从而证明了该算法的有效性。

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