Construction of Automated Manufacturing Systems with Production Management using Grey Theory

利用灰色理论构建生产管理自动化制造系统

基本信息

批准号：
15510142
负责人：
KITAOKA Masatoshi
金额：
$ 1.6万
依托单位：
KANAGAWA 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

This paper composed with 6 research items.1)The new debugging operation method is proposed, when the automated production equipment was installed. Here, the theoretical formula of reliability engineering was proposed on the debugging operation, and proposed model formula was verified from the test data 2)The decreasing rate of parts of automated assembly system is caused abnormal conditions with the parts feeder. The abnormal condition of parts feeder is detected based on the ARMA control line. The cause of the abnormal condition is recognized by Fuzzy neural network and Wavelet analysis. 3)For the pattern recognition of work, the method for combining genetic algorithm with Fuzzy ART is proposed. The pyramid image analysis for the template matching by GA. Next, the hierarchical Fuzzy ART is proposed. It does not use learning parameter, vigilance parameter and decreasing parameter. Proposed the algorithm become possible with high-speed image processing. 4)The shipping volume prediction method of the distribution center by the 2 time cumulative data for the gray theory GM(1,1) model is proposed. The method for applying multiple GM(1,1) models in search of the inflection point is shown. 5)The gray theory is applied to the supply chain system, and the parts supplies, information to the consumer from the production, goods, parts delay and flow are verified. Queueing theory is also applied to the model analysis for SCM. 6)The Manual Material Handling (MMH) activities, especially lifting dominate occupationally related low back disorder risk. Using the three-dimensional motion analysis system, the manual asymmetric lifting posture is filmed and analyzed. The operation of the human body, and it displays the working posture by computer graphics is developed. Then, OWAS code is generated with automatically for the MMH posture, and the risk of the worker in MMH would be beforehand estimated

本文由6个研究项目组成：1)提出了自动化生产设备安装后的新的调试操作方法。这里，在调试操作中提出了可靠性工程的理论公式，并从测试数据中验证了所提出的模型公式。 2）自动化装配系统的零件下降率是由零件供料器的异常情况引起的。基于ARMA控制线检测送件装置的异常情况。通过模糊神经网络和小波分析来识别异常情况的原因。 3)针对工作的模式识别，提出了遗传算法与Fuzzy ART相结合的方法。通过遗传算法进行模板匹配的金字塔图像分析。接下来，提出了分层Fuzzy ART。它不使用学习参数、警戒参数和递减参数。提出该算法使高速图像处理成为可能。 4)提出了基于灰色理论GM(1,1)模型的2次累积数据的配送中心发货量预测方法。显示了应用多个 GM(1,1) 模型寻找拐点的方法。 5)将灰色理论应用到供应链系统中，对零部件供应、从生产到消费者的信息、货物、零部件延迟和流动进行验证。排队论也被应用到SCM的模型分析中。 6) 手动物料搬运 (MMH) 活动，尤其是起重活动，是职业相关腰背疾病风险的主导因素。利用三维运动分析系统，对手动非对称举升姿势进行拍摄和分析。开发了人体的操作，并通过计算机图形显示工作姿势。然后，针对MMH姿势自动生成OWAS代码，并预先估计工人在MMH中的风险