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Cooperative Research on Intelligent Manufacturing Techniques

智能制造技术合作研究

基本信息

批准号：
10044173
负责人：
YOKOTA Takao
金额：
$ 4.42万
依托单位：
Ashikaga Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

The purpose of this cooperative research project is to develop intelligent manufacturing techniques, which are for production scheduling, process planing, optimal facility locating, design and control of manufacturing cells, feature recognition from CAD data, design of manufacturing information network, and so on using Artificial Intelligent (AI) techniques such as Genetic Algorithm (GA), Neural Network (NN). We needed the research term of three years to accomplish the above purpose.In the first year (1998), we investigated basic manufacturing techniques for multi-product manufacturing systems and developed some models for such systems. And fundamental mechanisms and properties of AI techniques, such as GA and NN, were investigated. Further, we applied GA and NN for basic scheduling problems, such as Job-shop Scheduling Problem (JSP) to verify the performances the techniques.In the second year (1999), we developed some solution methods based on GA and NN for production scheduling problems, process planing problems, optimal facility location problems, design and control problems of manufacturing cells, feature recognition from CAD data, design of manufacturing information network. And evaluated the solution methods developed through many test problems to verify efficiencies of the methods.In the last year (2000), we applied the AI-based methods for real-wold size problems of production scheduling, process planing, optimal facility locating, design and control of manufacturing cells, feature recognition from CAD data, design of manufacturing information network to finally evaluate the developed methods. And we made final report of this cooperative research project.

本合作研究项目的目的是开发智能制造技术，包括生产调度、工艺规划、设备优化配置、制造单元的设计与控制、CAD数据特征识别、制造信息网络设计等，采用人工智能技术，如遗传算法、神经网络等。为了实现上述目的，本研究进行了为期三年的研究。第一年（1998年），研究了多产品制造系统的基本制造技术，开发了多产品制造系统的模型。研究了遗传算法和神经网络等人工智能技术的基本原理和特点。在第二年（1999年），我们开发了一些基于遗传算法和神经网络的求解方法，用于生产调度问题、工艺规划问题、设备最优选址问题、制造单元的设计与控制问题、CAD数据的特征识别问题、制造业信息网络设计。去年（2000年），我们将基于人工智能的方法应用于实际规模的生产调度、工艺规划、设备优化配置、制造单元设计与控制、CAD数据特征识别、制造信息网络设计等问题，对所开发的方法进行了评价。并对该合作研究项目进行了总结报告。