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Scheduling Hot Slabs in Parallel Hot Rolling Production Lines by Column Generation

机译:通过列生成安排平行热轧生产线中的热板坯

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This paper is to determine the slab schedule on parallel hot rolling lines with consideration of chain precedence constraints, which restricts the slabs belonging to a chain to be successively processed without interruption in one production line. Moreover, energy loss increases as its waiting time before being processed increases, since the slabs dynamically arrive with high temperature. The objective of the problem is to minimize the total energy loss costs. Two kinds of energy loss cost that are linearly and nonlinearly dependent of its waiting time are concerned. The strongly NP-hard feature of the problem stimulates us to develop branch-and-pricing algorithm to solve it. Firstly, the model is formulated as a set partitioning model. For the strongly NP-hard sub-problem, dynamic programming based on state-space relaxation method is derived to tackle it. A branch-and-bound procedure is applied for the case that the solution obtained at the root node is not integral. The whole algorithm is implemented by C language on a Pentium IV 3.0 GHz PC. Results on 25 different problem scenarios demonstrate that the proposed algorithm can solve the instances up to 120 slabs optimally within a reasonable computation time. The gaps between optimal solution and lower bound are no more than 0.0395% for the linear case and 0.0315% for the nonlinear case, respectively.
机译:本文将在考虑链优先顺序约束的情况下确定平行热轧生产线上的板坯计划,这限制了属于一条链的板坯必须在一条生产线上不中断地连续加工。此外,由于板坯在高温下动态到达,因此能量损失随着其在处理前的等待时间的增加而增加。该问题的目的是使总能量损失成本最小化。涉及两种能量损失成本,其线性和非线性取决于其等待时间。问题的强NP难性促使我们开发分支定价算法来解决这个问题。首先,将该模型公式化为集合分区模型。对于强NP难子问题,导出了基于状态空间松弛方法的动态规划来解决。对于在根节点处获得的解不是整数的情况,将应用分支定界过程。整个算法是在奔腾IV 3.0 GHz PC上用C语言实现的。 25个不同问题场景的结果表明,该算法可以在合理的计算时间内最优地求解120个楼板的实例。线性情况下最优解与下界之间的差距分别不超过0.0395%,非线性情况下差距不超过0.0315%。

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