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首页> 外文期刊>Theoretical computer science >Moving policies in cyclic assembly line scheduling
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Moving policies in cyclic assembly line scheduling

机译:循环流水线调度中的移动策略

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We consider an assembly line problem that occurs in various kinds of production automation. Our original motivation lies in the automated manufacturing of PC boards. The assembly line has to process a (potentially infinite) number of identical workpieces in a cyclic fashion. In contrast to common variants of assembly line scheduling, the forward steps are variable and may be smaller than the distance of two stations. Therefore, each station may process parts of several workpieces at the same time, and parts of a workpiece may be processed by several stations at the same time. The throughput rate is determined by the number of (cyclic) forward steps, the offsets of the individual forward steps, and the distribution of jobs over the stationary stages between the forward steps. The number of forward steps as well as the offsets are part of the output. However, no matter whether they are part of the input or the output, the optimal assignment of the jobs to the stationary stages is NP-hard. We will base our algorithmic considerations on some quite conservative assumptions, which are greatly fulfilled in various application scenarios, including the one in our application: the number of jobs may be huge, but the number of stations and the number of forward steps in an optimal solution are small, the granularity of forward steps is quite coarse, and the processing times of the individual items do not differ by several orders of magnitude from each other. We will present an algorithm that is polynomial and provably deviates from optimality to a negligible extent (under these assumptions). This result may be viewed as an application of fixed-parameter tractability.
机译:我们考虑在各种生产自动化中发生的装配线问题。我们最初的动机在于PC板的自动化制造。装配线必须以循环方式处理(可能无限)数量相同的工件。与装配线调度的常见变型相反,前进步骤是可变的,并且可能小于两个工位的距离。因此,每个工位可以同时加工多个工件的零件,并且工件的零件可以同时由多个工位加工。吞吐率取决于(循环)前进步骤的数量,各个前进步骤的偏移量以及前进步骤之间的固定阶段上的作业分配。前进步骤的数量以及偏移量是输出的一部分。但是,无论它们是输入还是输出的一部分,将作业最佳地分配到固定级都是NP难的。我们将基于一些相当保守的假设来进行算法考虑,这些假设在各种应用场景中都可以很好地实现,包括我们的应用场景:作业数量可能很大,但是最佳状态下的工位数量和前进步骤数量解决方案很小,前进步骤的粒度很粗糙,各个项目的处理时间彼此之间不会相差几个数量级。我们将提出一种多项式算法,并且在最佳假设下(在这些假设下)可证明偏离最优性到可以忽略的程度。该结果可以看作是固定参数易处理性的应用。

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