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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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摘要

We consider an assembly line problem that occurs in various kinds of production automation, for example, 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 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. Even for a given number of forward steps and for given offsets of the forward steps, the optimal assignment of the jobs to the stationary stages is at least weakly 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 to a variety of real-world settings.
机译:我们考虑在各种生产自动化中发生的装配线问题,例如在PC板的自动化制造中。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比,前进步骤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。即使对于给定数量的前进步骤和给定的前进步骤偏移量,作业到固定阶段的最佳分配也至少是微弱的。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中都可以很好地实现场景,包括我们的应用程序:作业的数量可能很大,但是最佳解决方案中的站数和前进步骤的数量很小,前进步骤的粒度很粗,并且处理的时间各个项目之间的差异不大几个数量级。我们将提出一个多项式算法,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。该结果可以被视为将固定参数易处理性应用于各种现实环境。

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