Research Initiation Award: Analysis and Control of Assembly Systems

小行星9308290 在过去的十年里，制造系统的网络模型的研究越来越受到人们的关注。 这种兴趣是由于嵌入式网络模型捕捉和评估可变性和拥塞的影响的能力。 最近对拉式制造系统如看板的兴趣增加了制造网络模型的使用。 然而，一个重要的功能，许多制造系统，尚未令人满意地纳入装配网络模型是装配作业。 装配作业是需要几条不同生产线的输出作为输入的作业。 该项目的目的是开发用于分析和控制装配系统的分析模型。 边界和近似值将开发等性能指标的吞吐量，方差的数量在一个给定的时期内，平均值和方差的周期时间和平均值和方差的队列长度。 我们的初步结果表明，近似组装系统的等效串联系统提供了一个很有前途的apraoch。 分析模型将用于装配系统的优化设计算法。 我们将回答设计问题，如工作应该如何分配不同的生产线和工作中心，如何设置生产配额，在这些系统中的在制品库存水平，以及可变性如何影响装配系统的最佳设计和性能。 研究人员将与工业界合作，测试和实施我们的结果。 研究结果将有助于制造商设计更有效的装配系统。

9308290 Duenyas In the past decade, there has been a growing research interest in queueing network models of manufacturing systems. This interest is due to the ability of queueing network models to capture and evaluate the effects of variability and congestion. The recent interest in pull manufacturing systems such as kanban has increased the use of queueing network models. However, an important feature of many manufacturing systems that has not yet been satisfactorily incorporated in queueing network models is assembly operations. Assembly operations are operations that require as input the output of several different production lines. The aim of this project is to develop analytical models for the analysis and control of assembly systems. Bounds and approximations will be developed for such performance measures as the throughput, variance of the number produced in a given period, mean and variance of cycle time and mean and variance of queue lengths. Our preliminary results indicate that approximating assembly systems by equivalent tandem systems provides a promising appraoch. The analytical models will be used in algorithms for the optimal design of assembly systems. We will answer design questions such as how work should be allocated between different lines ad work centers, how to set production quotas, and Work In Process Inventory levels in these systems and how variability affects the optimal design and performance of assembly systems. The researchers will work with industry to test and implement our results. The result of the research will aid manufacturers signficantly in designing more efficient assembly systems.