Sojourn Time Control for Assembly Type Queueing Networks

小行星9713974 本文研究装配型制造网络中工件逗留时间的真实的时间控制问题。 这种控制的目的是确保以及时和可预测的方式生产完整的作业。 在观测网络状态的基础上，执行真实的控制策略。 这些观测将给出关于当前网络中所有作业的位置和时间的完整信息。 研究将涉及以下任务。装配型装配网络可以表示为单输入自由选择网，它可以用一组随机差分方程来描述。 这些差分方程将捕获装配型装配网络的动力学，并将作为真实的时间控制的数学模型。 控制程序将被制定为一个优化问题，并将制定有效的解决方案。 最后，这种新的控制策略的性能将测试对现有的在制品（在制品）限制控制策略。 如果成功，这项研究将导致装配操作性能的改善。 研究的真实的时间控制策略将减少资源竞争，从而提高吞吐量，减少作业停留时间。 预计这项研究的一个主要贡献是复杂的装配操作的分析模型的发展。 由于这些模型将是制定真实的时间控制范例的主要工具，它们将导致在装配型装配网络中建立真实的时间控制所需的基础科学基础的发展。

9713974 Ayhan The focus of this research is on the real time control of job sojourn time in assembly-type queueing networks. The purpose of this control is to ensure that complete jobs are produced in a timely and predictable manner. The real time control strategy will be executed based on the observation of the state of the queueing network. These observations will give complete information about the location and the time in location of all jobs currently in the network. The research will involve the following tasks. Assembly type queueing networks will be represented as Single Input Free Choice Nets which can be characterized by a set of stochastic difference equations. These difference equation will capture the dynamics of assembly type queueing networks and will serve as the mathematical model underlying real time control. The control procedure will be formulated as an optimization problem and efficient solution procedures will be developed. Finally, the performance of this new control strategy will be tested against the existing WIP (Work in Process) limiting control strategies. If successful, this research will lead to improvements in the performance of assembly operations. The research real time control strategy will decrease the resource contention which will result in an increase in throughput and decrease in job sojourn time. A major contribution anticipated from this research is the development of analytical models of complicated assembly operations. Since these models will be the main tool in the formulation of real time control paradigm, they will lead to the development of the fundamental science base required to establish real time control in assembly-type queueing networks.