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A New Extension on Job Allocation with the aim of optimizing DCSs in Industrial Manufacturing Environments

机译:新的工作分配扩展,旨在优化工业制造环境中的DCS

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摘要

caring jobs to resources is a main concept of distributed control systems. If we have a fair system to decision and job management, this concept will result in appropriate job allocation in manufacturing industrial environments. In retrospect, too many attempts have been made and enormous results achieved. Especially, distributed control systems (DCS) on the basis of parallel machines. In this regard Pigeon Hole Principle can be a proper tool in order to job allocation in DCSs. Besides, some of other works compared with considering job assigning aspect. Eventually, state-of-the-art extension algorithm named pigeon Hole principle will be presented for assigning jobs to machines in a distributed control systems for the whole the system. This paper presents new algorithms in order to devote job to appropriate machine this algorithm can be applied in particular when the industrial manufacturing system encounters unpredicted bottlenecks. So PHP can be expand and utilize for throughout the industrial manufacturing system (factory) whereby considering induction lemma.
机译:将工作照顾到资源是分布式控制系统的主要概念。如果我们有一个公平的决策和工作管理系统,那么这个概念将导致在制造业环境中进行适当的工作分配。回想起来,已经进行了太多尝试,并取得了巨大的成果。特别是基于并行机的分布式控制系统(DCS)。在这方面,Pigeon Hole Principle可能是在DCS中分配工作的合适工具。此外,与考虑工作分配方面相比,还有其他一些工作。最终,将提出名为Pigeon Hole原理的最新扩展算法,用于为整个系统的分布式控制系统中的机器分配作业。本文提出了新的算法,以便将工作投入到合适的机器上,尤其是当工业制造系统遇到无法预料的瓶颈时,可以应用该算法。因此,PHP可以在整个工业制造系统(工厂)中进行扩展和利用,从而考虑归纳引理。

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