General architecture for data analysis in industry 4.0 using SysML and model based system engineering

The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data. The manufacturing processes "digitalization" has resulted in huge data management concerns, as manufacturing companies need to aggregate value for productivity improvement. The Industry 4.0 concept involves many technologies in order to challenge this issue. The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.

[1]  Wolfgang Wahlster,et al.  Industrie 4 . 0 Maturity Index Managing the Digital Transformation of Companies , 2017 .

[2]  Guo Baozh Space Project Management:High-tech Complex Project Management , 2014 .

[3]  Roland Petrasch,et al.  Process modeling for industry 4.0 applications: Towards an industry 4.0 process modeling language and method , 2016, 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).

[4]  Reiner Anderl,et al.  Integrated Component Data Model Based on UML for Smart Components Lifecycle Management: A Conceptual Approach , 2015, PLM.

[5]  Hong Chen,et al.  Applications of Cyber-Physical System: A Literature Review , 2017 .

[6]  Ludovic Apvrille,et al.  A Model-Driven Engineering Methodology to Design Parallel and Distributed Embedded Systems , 2017, ACM Trans. Design Autom. Electr. Syst..

[7]  Jörgen Hansson,et al.  Assessing the State-of-Practice of Model-Based Engineering in the Embedded Systems Domain , 2014, MoDELS.

[8]  Ju Yeon Lee,et al.  A big data analytics platform for smart factories in small and medium-sized manufacturing enterprises: An empirical case study of a die casting factory , 2017 .

[9]  Yongkui Liu,et al.  Industry 4.0 and Cloud Manufacturing: A Comparative Analysis , 2016 .

[10]  Edward A. Lee The Past, Present and Future of Cyber-Physical Systems: A Focus on Models , 2015, Sensors.

[11]  Olivier Barais,et al.  A Systematic Mapping Study on Modeling for Industry 4.0 , 2017, 2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS).

[12]  Sébastien Gérard,et al.  Towards Industry 4.0: Gap Analysis between Current Automotive MES and Industry Standards Using Model-Based Requirement Engineering , 2017, 2017 IEEE International Conference on Software Architecture Workshops (ICSAW).

[13]  Hans-Georg Kemper,et al.  Application-Pull and Technology-Push as Driving Forces for the Fourth Industrial Revolution , 2014 .

[14]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

[15]  Lei Ren,et al.  Cloud manufacturing: a new manufacturing paradigm , 2014, Enterp. Inf. Syst..