Agile Control System for Reconfigurable Manufacturing Systems

可重构制造系统的敏捷控制系统

基本信息

批准号：
15510132
负责人：
TAKAHASHI Katsuhiko
金额：
$ 2.37万
依托单位：
Hiroshima University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

The configuration of production system affects the performance of the production system, and there is a lot of research on configuring production systems, such as assembly line balancing and cell formation. Under the specified configuration, the performance of production system is affected by production ordering and buffer allocation. Ordering systems determine the timing and quantity in order release for each stage of multi-stage production inventory systems with allocated buffer, and just-in-time (JIT) ordering systems determine them on the basis of the actual demand. In most of the previous literature on JIT ordering systems, stable changes in demand have been assumed, and the influence of unstable changes in demand had never been analyzed. Based on the background, some reactive systems have been proposed for the JIT ordering system. In the reactive JIT ordering system, unstable changes in demand are detected, and the buffer size is adjusted as a reaction to the detected changes. However, only by adjusting the buffer size, the adaptability is limited. Recently, reconfigurable manufacturing systems (RMSs) have been pointed out, and systems which can adjust the configuration in response to environmental changes are likely to be realized. Therefore, this report introduces dynamic line balancing and buffer allocation in a RMS controlled by the JIT ordering system. In the proposed system, unstable changes in demand are detected by the exponentially weighted moving average (EWMA) charts, and the configuration of production system, that is, the number of stages and buffer size, are altered in response to the detected unstable changes, and work elements are allocated to each stage by line balancing. Also, a neural network is applied to improve the performance to detect unstable changes in demand. The effectiveness of the proposed system is analyzed and compared with that of the previous system by simulation experiments.

生产系统的配置影响着生产系统的性能，对于生产系统的配置有很多研究，例如装配线平衡和单元化成。在指定的配置下，生产系统的性能受到生产排序和缓冲区分配的影响。订购系统确定多阶段生产库存系统各阶段的订单发放时间和数量，并分配缓冲区，而准时化（JIT）订购系统则根据实际需求确定。以往大多数关于JIT订购系统的文献中，都假设了需求的稳定变化，而从未分析过需求不稳定变化的影响。基于此背景，针对JIT订购系统提出了一些反应式系统。在反应式 JIT 订购系统中，检测到需求的不稳定变化，并且根据检测到的变化来调整缓冲区大小。但仅通过调整缓冲区大小，适应性有限。最近，人们提出了可重构制造系统（RMS），并且可以实现能够响应环境变化而调整配置的系统。因此，本报告介绍了 JIT 订购系统控制的 RMS 中的动态生产线平衡和缓冲区分配。在所提出的系统中，通过指数加权移动平均（EWMA）图表检测需求的不稳定变化，并根据检测到的不稳定变化改变生产系统的配置，即阶段数和缓冲区大小，工作要素通过生产线平衡分配到各个阶段。此外，还应用神经网络来提高检测需求不稳定变化的性能。通过仿真实验对所提出的系统的有效性进行了分析并与之前的系统进行了比较。