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Survey of resource allocation methods for distributed manaufacturing systems

机译:分布式制造系统的资源分配方法概述

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Distributed manufacturing systems are more flexible in their arrangement and use of their resources. This permits a more dynamic and opportunistic allocation of manufacturing resources to work elements than is possible with today's centralized allocation systems. However, unlike solving the problem from a single solver view, there is no absolute control or tight coordination over how and when to decompose the problem, when to undertake a solution or the procedure for verifying consistency. Such activities will largely be left to the distributed entities to decide either individually or jointly. As a consequence the resulting allocations may suffer and induce myopic behaviour lacking in stability and regularity in the performance of the total system. Thus, the issues connected with solving the problem often move beyond the pure algorithmic focus of computation to include how the problem is decomposed, bow or to whom it is assigned, and the organization for solving the subproblems, strategies used for resolving conflicts, the manner in which communication is conducted, etc. These issues, in fact, highlight the holistic nature of the solution and are used here as parameters to compare and contrast the approaches reported in the literature.
机译:分布式制造系统在安排和使用资源方面更加灵活。与当今的集中式分配系统相比,这可以更动态和机会地将制造资源分配给工作要素。但是,与从单个求解器角度解决问题不同,对于如何以及何时分解问题,何时进行解决方案或验证一致性的过程,没有绝对的控制权或严格协调。此类活动将很大程度上留给分布式实体来单独或联合决定。结果,所产生的分配可能遭受并导致近视行为,该近视行为在整个系统的性能中缺乏稳定性和规律性。因此,与解决问题有关的问题通常超出了纯粹的算法计算范围,包括如何分解问题,如何解决问题或将问题分配给谁,解决子问题的组织,解决冲突的策略,方式等。实际上,这些问题突出了解决方案的整体性,并在此处用作比较和对比文献中报道的方法的参数。

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