Current status and advancement of cyber-physical systems in manufacturing

This paper presents the current status and the latest advancement of cyber-physical systems (CPS) in manufacturing. In order to understand CPS and its future potential in manufacturing, definitions and characteristics of CPS are explained and compared with cloud manufacturing concept. Research and applications are outlined to highlight the latest advancement in the field. CPS shows great promise in factories of the future in the areas of future trends as identified at the end of this paper.

[1]  Douglas H. Norrie,et al.  Multi-agent Mediator architecture for distributed manufacturing , 1996, J. Intell. Manuf..

[2]  Weiming Shen,et al.  A Java 3d-enabled cyber workspace , 2002, CACM.

[3]  Paul M Williams Distinguishing Internet-facing ICS devices using PLC programming information , 2014 .

[4]  Armando W. Colombo,et al.  An agent-based intelligent control platform for industrial holonic manufacturing systems , 2006, IEEE Transactions on Industrial Electronics.

[5]  Mark W. Maier,et al.  Architecting Principles for Systems‐of‐Systems , 1996 .

[6]  Lihui Wang,et al.  An overview of function block enabled adaptive process planning for machining , 2015 .

[7]  Lihui Wang,et al.  Remote robotic assembly guided by 3D models linking to a real robot , 2014 .

[8]  Wendy Ju,et al.  Beyond dirty, dangerous and dull: What everyday people think robots should do , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[9]  Mauro Onori,et al.  Evolvable Production Systems: Mechatronic Production Equipment with Process-Based Distributed Control , 2009 .

[10]  Lihui Wang,et al.  Machine availability monitoring and machining process planning towards Cloud manufacturing , 2013 .

[11]  Lihui Wang,et al.  Wise-ShopFloor: An Integrated Approach for Web-Based Collaborative Manufacturing , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[12]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[13]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Ralph L. Hollis,et al.  Distributed Coordination in Modular Precision Assembly Systems , 2001, Int. J. Robotics Res..

[15]  László Monostori,et al.  Agent-based systems for manufacturing , 2006 .

[16]  Hoda A. ElMaraghy,et al.  Changeable and reconfigurable manufacturing systems , 2009 .

[17]  Lihui Wang,et al.  A cloud-based approach for WEEE remanufacturing , 2014 .

[18]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[19]  Lihui Wang,et al.  Cyber Manufacturing: Research and Applications , 2014 .

[20]  Mauro Onori,et al.  Outlook report on the future of European assembly automation , 2010 .

[21]  Carl D Schuett Programmable Logic Controller Modification Attacks for use in Detection Analysis , 2014 .

[22]  Roberto Passerone,et al.  CPS: Significance, Challenges and Opportunities , 2014 .

[23]  Pedro Ferreira,et al.  Multi-agent Architecture for Reconfiguration of Precision Modular Assembly Systems , 2010, IPAS.

[24]  Dimitris Mourtzis,et al.  Mobile apps for product customisation and design of manufacturing networks , 2014 .

[25]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[26]  Lihui Wang,et al.  Integrating Java 3D model and sensor data for remote monitoring and control , 2003 .

[27]  Jose Barata,et al.  An agent-based interaction-oriented shop floor to support emergent diagnosis , 2010, 2010 8th IEEE International Conference on Industrial Informatics.

[28]  Mats Hanson,et al.  What is Mechatronics? : Proposing a Didactical Approach to Mechatronics , 2001 .

[29]  László Monostori,et al.  ScienceDirect Variety Management in Manufacturing . Proceedings of the 47 th CIRP Conference on Manufacturing Systems Cyber-physical production systems : Roots , expectations and R & D challenges , 2014 .

[30]  Mauro Onori,et al.  Evolvable Production Systems: Environment for New Business Models , 2011 .