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柔性制造系统的决策较典型的是等级式,这些系统随着不断扩展而日趋复杂。它们的设计、操作、维护和修改 变得更加困难和昂贵.为了减少系统的复杂性、降低成本,提高柔性和容错性,必须研究可以替代的控制系统结构.一种引人注目的替代方案是不分等级的或称并行的控制方法。这种方法可以减少系统复杂性、降低软件成本,达到高度模块化、高扩展性和高容错性.威斯康星大学已建成的一个柔性制造单元,用来研究等级式和并行式两种控制方法,已取得的一个成果是研制了一种两种控制方法都能应用的、面向工件的动态型资源调度。这种实时调度的对策是着重于单个工件的生产,而不在于提高机床的利用率。本文探讨了使用等级式和并行式两种办法管理生产单元的方法,并对它们在组织实施时的系统功能和所用软件成本作了对比。图6幅,参考文献15种。
The decision-making of flexible manufacturing systems is typically hierarchical, and as these systems expand, they become increasingly complex. Their design, operation, maintenance, and modification have become more difficult and expensive.To reduce system complexity, reduce costs, increase flexibility and fault tolerance, alternative control system architectures must be studied.A striking alternative is Not hierarchical or parallel control methods. This approach can reduce system complexity, reduce software costs, to achieve a high degree of modularity, high scalability and high fault tolerance.With the University of Wisconsin has completed a flexible manufacturing unit, used to study the hierarchical and parallel control methods have been One of the achievements has been the development of a dynamic resource-oriented job-oriented resource allocation that can be applied to both control methods. This real-time dispatching strategy is focused on the production of a single part, not on improving machine tool utilization. This article explores ways to manage production cells using both hierarchical and parallel approaches and compares their system capabilities to the software costs used in the organization’s implementation. Figure 6, reference 15.