Towards Smart Factory: Multi-Agent Integration on Industrial Standards for Service-oriented Communication and Semantic Data Exchange

The concept of smart factories in the industry 4.0 (I40) paradigm is based on the concept of cyberphysical systems which is more specifically elaborated within the concept of the smart manufacturing component. In that concept an arbitrary production asset is assigned to an administration shell, that covers partial models and services for arbitrary functions. The desired attributes of smart factories to be self-organized, self-optimized, self-learning, etc. is based on the idea of an intelligent cooperation between the smart manufacturing components. However, the actual performing of this co-operation is not appropriately elaborated yet. In this paper the approach of a Multi-AgentSystem to be applied as a well elaborated mean for intelligent co-operation of smart manufacturing components shall overcome this lack. Furthermore the application of existing standards for service-oriented industrial communication infrastructure by OPC-UA and for semantic data exchange by AutomationML provides existing means for realizing the required connectivity and interoperability for intelligent co-operation that shall realize self-X capabilities of smart factories.

[1]  Miriam Schleipen A concept for conformance testing of AutomationML models by means of formal proof using OCL , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[2]  Henry Lieberman,et al.  Using prototypical objects to implement shared behavior in object-oriented systems , 1986, OOPLSA '86.

[3]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[4]  Giancarlo Fortino,et al.  Workshop Networks Integration Using Mobile Intelligence in Smart Factories , 2018, IEEE Communications Magazine.

[5]  Nicole Schmidt,et al.  Lossless exchange of graph based structure information of production systems by AutomationML , 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

[6]  Leon Urbas,et al.  Semantic description of process modules , 2015, 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA).

[7]  Maria-Esther Vidal,et al.  Alligator: A Deductive Approach for the Integration of Industry 4.0 Standards , 2016, EKAW.

[8]  Stefan Biffl,et al.  Supporting the engineering of cyber-physical production systems with the AutomationML analyzer , 2016, 2016 1st International Workshop on Cyber-Physical Production Systems (CPPS).

[9]  Svetan M. Ratchev,et al.  A multi-agent architecture for plug and produce on an industrial assembly platform , 2014, Prod. Eng..

[10]  Stefan Biffl,et al.  Cross-disciplinary engineering with AutomationML and SysML , 2016, Autom..

[11]  Rainer Drath,et al.  Three-view-concept for modeling process or manufacturing plants with AutomationML , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.

[12]  Ambra Calá,et al.  Design pattern for agent based production system control — A survey , 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

[13]  Weiming Shen,et al.  Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  MengChu Zhou,et al.  Toward opportunistic services for the industrial Internet of Things , 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

[15]  José Barbosa,et al.  Multi-agent System Approach for the Strategic Planning in Ramp-Up Production of Small Lots , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[16]  G.M. Goncalves,et al.  Adoption Issues of Multi-agent Systems in Manufacturing Industry , 2010, 2010 Fifth International Multi-conference on Computing in the Global Information Technology.

[17]  Mauro Onori,et al.  The IDEAS Plug a Produce System , 2013 .

[18]  Rainer Drath,et al.  Standardized Information Exchange Within Production System Engineering , 2017, Multi-Disciplinary Engineering for Cyber-Physical Production Systems.

[19]  P. Leitao,et al.  Towards the integration of process and quality control using multi-agent technology , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[20]  Rainer Unland Chapter 2 – Industrial Agents , 2015 .

[21]  Kagermann Henning Recommendations for implementing the strategic initiative INDUSTRIE 4.0 , 2013 .

[22]  Nicole Schmidt,et al.  Data exchange toward PLC programming and virtual commissioning: Is AutomationML an appropriate data exchange format? , 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

[23]  Hessamedin Bayanifar,et al.  Agent-based mechanism for smart distributed dependability and security supervision and control of Cyber-Physical Production Systems , 2017 .

[24]  Paulo Leitão,et al.  Agent-based distributed manufacturing control: A state-of-the-art survey , 2009, Eng. Appl. Artif. Intell..

[25]  Nicole Schmidt,et al.  One step towards an industry 4.0 component , 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

[26]  James A. Scott A Practical Guide to Microservices and Containers Mastering the Cloud, Data, and Digital Transformation , 2017 .