Implementation framework for cloud-based holonic control of cyber-physical production systems

This work intends to introduce a new implementation framework, based on the classical holonic paradigm, for partly distributing the intelligence surrounding cyber-physical production systems in the cloud. In order to achieve this transfer, an innovative framework is proposed and the interface between local and cloud platform is extensively justified and described. A performance evaluation of this framework is achieved through its implementation on a fully automated industrial-sized assembly line equipped with 6 axis robots. The chosen performance indicator is the volume of data exchanged during production in order to validate the positioning of the interface in the framework. The results show a low volume of messages exchanged through the interface and a distribution of the volume along time making it valuable for further developments.

[1]  V. Agarwal,et al.  The intelligent product driven supply chain , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[2]  José Barata,et al.  Service-Oriented Infrastructure to Support the Deployment of Evolvable Production Systems , 2011, IEEE Transactions on Industrial Informatics.

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

[4]  Ahmad T. Al-Hammouri,et al.  A comprehensive co-simulation platform for cyber-physical systems , 2012, Comput. Commun..

[5]  Bogdan-Constantin Pirvu,et al.  Engineering insights from an anthropocentric cyber-physical system: A case study for an assembly station , 2016 .

[6]  Pierre Castagna,et al.  Implementation of a Process Orchestration Model in a Service Oriented Holonic Manufacturing System , 2015 .

[7]  Duncan C. McFarlane,et al.  A holonic component-based approach to reconfigurable manufacturing control architecture , 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

[8]  Wang Shaolin,et al.  An Integrated Scheme for Cyber-physical Building Energy Management System , 2011 .

[9]  Anne L'Anton,et al.  A Petri net-based methodology to increase flexibility in service-oriented holonic manufacturing systems , 2016, Comput. Ind..

[10]  Stamatis Karnouskos,et al.  IMC-AESOP outcomes: Paving the way to collaborative manufacturing systems , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[11]  Paulo Leitão,et al.  ADACOR: A holonic architecture for agile and adaptive manufacturing control , 2006, Comput. Ind..

[12]  Lei Ren,et al.  Customized production based on distributed 3D printing services in cloud manufacturing , 2016 .

[13]  Jeff Morgan,et al.  The Cyber Physical Implementation of Cloud Manufactuirng Monitoring Systems , 2015 .

[14]  Kai Xu,et al.  A web services-based approach to develop a networked information integration service platform for gear enterprise , 2012, J. Intell. Manuf..

[15]  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 .

[16]  Lei Ren,et al.  Cloud manufacturing: from concept to practice , 2015, Enterp. Inf. Syst..

[17]  Ronald L. Hartung,et al.  An Infrastructure for Individualised and Intelligent Decision-making and Negotiation in Cyber-physical Systems , 2014, KES.

[18]  Octavian Morariu,et al.  Customer order management in service oriented holonic manufacturing , 2012, Comput. Ind..

[19]  Damien Trentesaux,et al.  ORCA-FMS: a dynamic architecture for the optimized and reactive control of flexible manufacturing scheduling , 2014, Comput. Ind..

[20]  Edward A. Lee.  Cyber-physical Systems -are Computing Foundations Adequate? Position Paper for Nsf Workshop on Cyber-physical Systems: Research Motivation, Techniques and Roadmap , 1998 .

[21]  Simon Bergweiler.  Intelligent Manufacturing based on Self-Monitoring Cyber-Physical Systems , 2015 .

[22]  Jürgen Gausemeier,et al.  Pattern-based Business Model Development for Cyber-Physical Production Systems , 2014 .

[23]  Zhang Lin,et al.  Further discussion on cloud manufacturing , 2011 .

[24]  Stamatis Karnouskos,et al.  Towards the Next Generation of Industrial Cyber-Physical Systems , 2014 .

[25]  Eduardo Cardoso Moraes,et al.  Developing Interfaces Based on Services to the Cloud Manufacturing: Plug and Produce , 2015 .

[26]  José Barbosa,et al.  Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution , 2015, Comput. Ind..