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Single CNC machine scheduling with controllable processing times to minimize total weighted tardiness

机译:单CNC机床排程,可控制处理时间,以最大程度地减少总加权拖尾

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Advanced manufacturing technologies, such as CNC machines, require significant investments, but also offer new capabilities to the manufacturers. One of the important capabilities of a CNC machine is the controllable processing times. By using this capability, the due date requirements of customers can be satisfied much more effectively. Processing times of the jobs on a CNC machine can be easily controlled via machining conditions such that they can be increased or decreased at the expense of tooling cost. Since scheduling decisions are very sensitive to the processing times, we solve the process planning and scheduling problems simultaneously. In this study, we consider the problem of scheduling a set of jobs on a single CNC machine to minimize the sum of total weighted tardiness, tooling and machining costs. We formulated the joint problem, which is NP-hard since the total weighted tardiness problem (with fixed processing times) is strongly NP-hard alone, as a nonlinear mixed integer program. We proposed a DP-based heuristic to solve the problem for a given sequence and designed a local search algorithm that uses it as a base heuristic.
机译:先进的制造技术(例如CNC机器)需要大量投资,但也为制造商提供了新功能。数控机床的重要功能之一是可控制的加工时间。通过使用此功能,可以更有效地满足客户的到期日要求。可以通过加工条件轻松控制CNC机床上工件的加工时间,从而可以增加或减少工件的加工时间,但会浪费工具成本。由于调度决策对处理时间非常敏感,因此我们可以同时解决过程计划和调度问题。在这项研究中,我们考虑在单台CNC机床上安排一组作业的问题,以最大程度地减少总加权拖延,工装和加工成本之和。由于总加权拖延问题(具有固定的处理时间)仅是NP-hard问题,因此我们将联合问题NP-hard公式化为非线性混合整数程序。我们提出了一种基于DP的启发式算法来解决给定序列的问题,并设计了一种将其用作基本启发式算法的局部搜索算法。

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