"Modeling and Development of Stable, Distributed Real-Time Control Algorithms for Scheduling Flexible Manufacturing/ Assembly/Disassembly Systems"

新一代柔性制造/装配/拆卸 系统以许多实体的复杂交互为特征。 有 几台机器，一些灵活，和几个零件类型，需要 注意在许多机器，在一个预先指定的顺序。 建立时间 涉及从一种零件类型的生产运行切换到 另一个是机器。 部件也会导致运输延迟， 从一台机器到另一台机器。 设定所需的生产水平 对于各种零件类型，系统由参数控制 例如在机器上零件的处理时间。 也有 由于产量、质量控制和机器的不确定性的变幻莫测 失败 我们如何安排这些系统的运作，以便 有效地进行所需的生产。 拟议 研究，PI显示了理论基础的开始， 开发在真实的中有效执行的调度算法 时间 这些算法可以以分布式方式实现， 并且在机器处的零件积压的意义上稳定， 控制住了 他的方法的组成部分是研究 这种系统的动态，并使用反馈和闭环调节 来控制日程安排。

New generations of flexible manufacturing/assembly/disassembly systems feature a complex interaction of many entities. There are several machines, some flexible, and several part-types which require attention at many machines, in a prespecified order. Set up times are involved in switching from a production run of one part-type to another at a machine. Parts also incur transportation delays when moving from machine to machine. Desired production levels are set for the various part-types, and the system is governed by parameters such as the processing time for a part at a machine. There are also the vagaries of uncertainty due to yield, quality control and machine failures. How do we schedule the operation of such systems, so as to efficiently carry out the desired production? In the proposed research, the PI shows the beginnings of a theoretical foundation for developing scheduling algorithms which perform efficiently in real time. These algorithms can be implemented in a distributed fashion, and are stable in the sense that backlogs of parts at the machine are kept under control. The ingredients of his approach are to study the dynamics of such systems and use feedback and closed-loop regulation to control scheduling.