Challenges and Requirements for the Application of Industry 4.0:A Special Insight with the Usage of Cyber-Physical System

作     者：Egon Mueller Xiao-Li Chen Ralph Riedel 

作者机构：Department of Factory Planning and Factory ManagementTechnische Universitt Chemnitz 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2017年第30卷第5期

页      面：1050-1057页

核心收录：

学科分类：0711[理学-系统科学] 0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：Bundesministerium für Bildung und Forschung  BMBF 

主　　题：Industrie 4.0 - Internet of Things Cyber-Physical System Smart factory Reference architectureIntelligent sensor nets Robot control Synchronousproduction 

摘      要：Considered as a top priority of industrial devel- opment, Industry 4.0 （or Industrie 4.0 as the German ver- sion） has being highlighted as the pursuit of both academy and practice in companies. In this paper, based on the review of state of art and also the state of practice in dif- ferent countries, shortcomings have been revealed as the lacking of applicable framework for the implementation of Industrie 4.0. Therefore, in order to shed some light on the knowledge of the details, a reference architecture is developed, where four perspectives namely manufacturing process, devices, software and engineering have been highlighted. Moreover, with a view on the importance of Cyber-Physical systems, the structure of Cyber-Physical System are established for the in-depth analysis. Further cases with the usage of Cyber-Physical System are also arranged, which attempts to provide some implications to match the theoretical findings together with the experience of companies. In general, results of this paper could be useful for the extending on the theoretical understanding of Industrie 4.0. Additionally, applied framework and proto- types based on the usage of Cyber-Physical Systems are also potential to help companies to design the layout of sensor nets, to achieve coordination and controlling of smart machines, to realize synchronous production with systematic structure, and to extend the usage of information and communication technologies to the maintenance scheduling.