Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns
The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is sti...
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Published in | International journal of advanced manufacturing technology Vol. 105; no. 9; pp. 4005 - 4034 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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London
Springer London
01.12.2019
Springer Nature B.V |
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Abstract | The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is still a challenge. The term CPPS denotes a mechatronic system (physical world) coupled with software entities and digital information (cyber part), both enabling the smart factory concept for the Industry 4.0 (I4.0) paradigm. In this regard, design patterns could help developers to build their software with common solutions for manufacturing control derived from experiences. We provide a description and comparison of the already existing multi-agent systems (MAS) design patterns, which were collected and classified by introducing two classification criteria to support MAS developers. The applicability of these criteria is shown in the case of specific example architectures from the lower and higher control levels. The authors, together with experts from the German Agent Systems committee FA 5.15, gathered more than twenty MAS patterns, evaluated, and compared four selected patterns with the presented criteria and terminology. The main contribution is a CPPS architecture that fulfills requirements related to the era of smart factories, as well as the Reference Architectural Model I4.0 (RAMI 4.0). The conclusions indicate that agent-based patterns greatly benefit the CPPS design. In addition, it is shown that manufacturing based on MAS is a good way to address complex requests of the CPPS development. |
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AbstractList | The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is still a challenge. The term CPPS denotes a mechatronic system (physical world) coupled with software entities and digital information (cyber part), both enabling the smart factory concept for the Industry 4.0 (I4.0) paradigm. In this regard, design patterns could help developers to build their software with common solutions for manufacturing control derived from experiences. We provide a description and comparison of the already existing multi-agent systems (MAS) design patterns, which were collected and classified by introducing two classification criteria to support MAS developers. The applicability of these criteria is shown in the case of specific example architectures from the lower and higher control levels. The authors, together with experts from the German Agent Systems committee FA 5.15, gathered more than twenty MAS patterns, evaluated, and compared four selected patterns with the presented criteria and terminology. The main contribution is a CPPS architecture that fulfills requirements related to the era of smart factories, as well as the Reference Architectural Model I4.0 (RAMI 4.0). The conclusions indicate that agent-based patterns greatly benefit the CPPS design. In addition, it is shown that manufacturing based on MAS is a good way to address complex requests of the CPPS development. |
Author | Lüder, Arndt Vogel-Heuser, Birgit Ryashentseva, Daria Cruz Salazar, Luis Alberto |
Author_xml | – sequence: 1 givenname: Luis Alberto orcidid: 0000-0001-8386-5568 surname: Cruz Salazar fullname: Cruz Salazar, Luis Alberto email: luis.cruz@tum.de organization: Institute of Automation and Information System, Technical University Munich, Universidad Antonio Nariño – sequence: 2 givenname: Daria orcidid: 0000-0002-9554-6983 surname: Ryashentseva fullname: Ryashentseva, Daria organization: Institute of Automation and Information System, Technical University Munich – sequence: 3 givenname: Arndt orcidid: 0000-0001-6537-9742 surname: Lüder fullname: Lüder, Arndt organization: Institute of Ergonomics, Manufacturing Systems and Automation, Otto-von-Guericke University – sequence: 4 givenname: Birgit orcidid: 0000-0003-2785-8819 surname: Vogel-Heuser fullname: Vogel-Heuser, Birgit organization: Institute of Automation and Information System, Technical University Munich |
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