應用評估模式於工業4.0之智慧自動化生產系統發展之研究

• Main Authors: You-Goung Li, 李宥廣
• Other Authors: Wen-Tsann Lin
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/66342820839460559410

碩士 === 國立勤益科技大學 === 工業工程與管理系 === 104 === In recent years, since Industry 4.0 and AI Technology grow up, intelligent automation production has become into the point of view with Factory Automation Control. Intelligent production is highly connected with factory automation and is aimed at developing capacity, improving producing quality, deducting labor power and environment-friendly production. In order to cut the costs and improve performance, precise material, product and processing management are essential. Therefore, factory automation model is indispensable for factories to grasp the content and layout of cyber-physical system (CPS) and introduce various techniques with big data analysis and machine interconnectivity to achieve the goal of smart factory. The keyword of the research is using Mind Map, IPA, ANP, Fuzzy theory and QFD to explore the development of applying evaluation model in Industry 4.0 and intelligent automation. First, this research defines the criteria and sub-criteria dimensions related with intelligent automation production by literature review and mind map：(1) Basic Facility Automation; (2) AI Energy Management; (3) Artificial Intelligence Production; (4) Facility Intelligence. The above four dimensions are set as criteria to find related factors. IPA is used to define evaluation models for the factors. ANP is used to find out relations between the factors, so as to find out key criteria factor and its significance. The industry needs that are found would be analyzed by Fuzzy-QFD to score the significances of the techniques to be introduced and list their rankings. This research provides rankings for the techniques needed in intelligent production automation; various facilities would be introduced to guarantee that modern scientific techniques satisfy the needs of Industry 4.0. Intelligent integrated monitoring system is introduced together with other Internet 4.0 concepts including IOT, Automatic Production, Robots and Big Data analysis. Information hardware and software are combined and will be centered on building CPS in the future. In the producing process, intelligent factories can be built with the concept of intelligent production and the business model of intelligent manufacture and service would be formed. Therefore, if this research can form the improvement plan and evaluation model in the development phase, it can not only meet the needs of modern industry and techniques, but also help to develop smart factory.