Comparison of agent oriented software methodologies to apply in cyber physical production systems

Cyber-Physical Systems (CPS) could be the most modern electronic development as yet, thanks to the integration of information and communication technology (ICT). CPS has associated with computer systems (cyber part) which are closely related to the real-world processes (physical part). A CPS is supported by the newest and foreseeable further advances of computer science, data and communication equipment on the one hand, and of manufacturing science and tools, on the other. On the contrary, within the multiple applications, there are CPS for manufacturing systems, called CPPS (Cyber-Physical Production Systems). The fourth industrial revolution regularly distinguished as I4.0 is based on CPPS. Considerable numbers of authors agree that paradigms agent-based as Multi-Agent Systems (MAS) converge or they make up some parts to apply CPPS. In general, this paper emphasizes that there are different important approaches in CPPS implementation which point near, in particular to MAS. The objective of this article is to provide general and specific concepts associated CPPS implementation through agents, considering the current multiples approaches and methods. A key result is that AgentOriented Software Engineering (AOSE) methodologies have been a highlight to comparisons leading benefits to apply in CPPS.

[1]  Mauro Onori,et al.  Industrial Agents for the Fast Deployment of Evolvable Assembly Systems , 2015 .

[2]  L. Miclea,et al.  An agent-oriented approach for cyber-physical system with dependability features , 2012, Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics.

[3]  Kalliopi Kravari,et al.  A Survey of Agent Platforms , 2015, J. Artif. Soc. Soc. Simul..

[4]  John K. Debenham,et al.  The 'Two-Hop Principle': Stability of MAS in Communications Networks , 2013, HoloMAS.

[5]  Michael ten Hompel,et al.  PhyNetLab: Architecture design of ultra-low power Wireless Sensor Network testbed , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[6]  Roman Dumitrescu,et al.  Intelligent Technical Systems OstWestfalenLippe , 2012 .

[7]  Svilen Dimitrov,et al.  Hybrid Teams of Humans, Robots, and Virtual Agents in a Production Setting , 2016, 2016 12th International Conference on Intelligent Environments (IE).

[8]  Birgit Vogel-Heuser,et al.  Design, modelling, simulation and integration of cyber physical systems: Methods and applications , 2016, Comput. Ind..

[9]  Detlef Zühlke,et al.  Design and Instantiation of a Modular System Architecture for Smart Factories , 2016 .

[10]  Luis Alberto Cruz Salazar,et al.  The future of industrial automation and IEC 614993 standard , 2014 .

[11]  Jay Lee,et al.  Smart Agents in Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[12]  Soundar R. T. Kumara,et al.  Cyber-physical systems in manufacturing , 2016 .

[13]  Birgit Vogel-Heuser,et al.  Coupling heterogeneous production systems by a multi-agent based cyber-physical production system , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[14]  Katherine C. Morris,et al.  Current Standards Landscape for Smart Manufacturing Systems , 2016 .

[15]  Kewin J. Saumeth Cudriz,et al.  Sistema Ciber-Físico de una CNC para la producción de circuitos impresos , 2015 .