类型：期刊

标题：Energy-Efficient Multi-Level Collaborative Optimization for Robotic Manufacturing Systems

参考译名：机器人制造系统的节能多级协同优化

简介：Aiming at the multi-level hierarchy framework of robotic manufacturing systems, how to realize a comprehensive energy-efficient optimization of the whole system is crucial to realize the sustainability of manufacturing. In this paper, the production-process oriented physical energy consumption model and digital model of industrial robots together with their interaction mechanisms are studied. Then, the concurrent assessment and evolution prediction approaches of robotic manufacturing systems are presented, as well as the collaborative optimization method based on knowledge evolution. Finally, a case study is implemented to verify the effectiveness of the proposed method.

来源:《Procedia CIRP》年：2018,72 316～321

链接：http://pan.ckcest.cn/rcservice//doc?doc_id=36565

类型：期刊

标题：Cyber-Physical Manufacturing Metrology Model (CPM 3) – Big Data Analytics Issue

参考译名：网络物理制造计量模型(CPM 3)——大数据分析问题

简介：Internet of Things (IoT) is changing the world, and therefore the application of ICT (Information and Communication Technology) in manufacturing. As a paradigm based on the Internet, IoT utilizes the benefits of interrelated technologies/smart devices such as RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actuator Networks) for the retrieval and exchange of information thus opening up new possibilities for integration of manufacturing system and its cyber representation through Cyber-Physical Manufacturing (CPM) model. On the other hand, CPM and digital manufacturing represent the key elements for implementation of Industry 4.0 and backbone for “smart factory” generation. Interconnected smart devices generate huge databases (big data), so that Cloud computing becomes indispensable tool to support the CPM. In addition, CPM has an extremely expressed requirement for better control, monitoring and data management. Limitations still exist in storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. Products, resources, and processes within smart factory are realized and controlled through CPM model. In this context, our recent research efforts in the field of quality control and manufacturing metrology are directed to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM 3 ). CPM 3 framework will be based on: 1) integration of digital product metrology information obtained from big data using BDA (big data analytics) through metrology features recognition, and 2) generation of global/local inspection plan for CMM (Coordinate Measuring Machine) from extracted information. This paper will present recent results of our research on CPM 3 – big data analytics issue.

来源:《Procedia CIRP》年：2018,72 503～508

链接：http://pan.ckcest.cn/rcservice//doc?doc_id=36564

类型：会议

标题：Opportunities of Digitalization for Productivity Management

参考译名：生产力管理的数字化机遇

简介：The increasing use of digital information and communication technologies in all areas of life - also referred to as digitalization - opens up new opportunities for handling and using information. Thus, also for productivity management in producing companies a wide range of opportunities is expected. For getting further and more detailed information on these expectations, 74 experts of the German metal and electrical industry have been queried in an online survey in 2017. Due to digitalization, the experts estimate an average increase of productivity until 2025 of 32%. This increase of productivity is enabled by a facilitated collection, distribution, analysis and usage of data. Furthermore, the impacts on human factors and the requirements for realizing the expected benefits were queried and are described in this contribution.

来源：会议录《Advances in human factors and systems interaction :》 出版年：2019 321～331　总页数：11会议：International Conference on Human Factors and Systems Interactions 举办日期：2018-07-21 分类号：TB18-532 ISBN：9783319943336

链接：http://pan.ckcest.cn/rcservice//doc?doc_id=36576