Implementation of an Adapted Holonic Production Architecture

Abstract Recent developments in information and computation technologies open up possibilities for the practical implementation of flexible, self-controlling production systems. The decentralization of existing production systems and their control plays a decisive role in creating the demanded flexibility and achieving an overall self-controlled system. The basic concept of the decentralization of production systems was set by the paradigm of Holonic Manufacturing Systems (HMS). In a HMS an element (holon) of the production system works autonomously with its own schedule and properties. Just through the cooperation with other holons central tasks of the production system are determined and subsequently executed. In this paper the flexibility and self-control of the production system was applicated through the distribution of decision-making by adding supplementary information acquisition and processing tools to former executive units. The previously procedural connection of the machines was dissolved and replaced by a peer-to-peer communication protocol. Superordinate controlling units, mostly PLCs, were abolished and instead decentralized controlling agents were implemented. The automatic control of the entire system is reached just through the communication of all devices, a machine-based scheduling and additional monitoring agents. The underlying architecture is based on Holonic Manufacturing concepts including order agent, machine, resource, product, logistic and supply holons. In this paper the adapted architecture is presented and subsequently the practical implementation in a research laboratory is described.

[1]  Dirk Cattrysse,et al.  Cooperation between a Holonic Schedule Execution System and the i2 Factory Planner , 2010 .

[2]  Paulo Leitão,et al.  Implementation of a Holonic Control System in a Flexible Manufacturing System , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[3]  Klaus Fischer,et al.  An agent-based Approach to holonic manufacturing systems , 1998, BASYS.

[4]  Douglas H. Norrie,et al.  Distributed decision-making using the contract net within a mediator architecture , 1997, Decis. Support Syst..

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

[6]  Paul Valckenaers and Handrik Van Brussel Design for the Unexpected : From Holonic Manufacturing Systems Towards A Humane Mechatronics Society - 978-0-12-803662-4 , 2015 .

[7]  Paulo Leitão,et al.  Benchmarking flexible job-shop scheduling and control systems , 2013 .

[8]  Birgit Vogel-Heuser,et al.  Agents enabling cyber-physical production systems , 2015, Autom..

[9]  Lihui Wang,et al.  Combined strength of holons, agents and function blocks in cyber-physical systems , 2016 .

[10]  Bijan Sarkar,et al.  Dynamic schedule execution in an agent based holonic manufacturing system , 2013 .

[11]  Damien Trentesaux,et al.  An Open-Control Concept for a Holonic Multiagent System , 2009, HoloMAS.

[12]  Danny Weyns,et al.  Patterns of Delegate MAS , 2009, 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

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

[14]  Dilip B. Kotak,et al.  Agent-based holonic design and operations environment for distributed manufacturing , 2003, Comput. Ind..

[15]  Birgit Vogel-Heuser,et al.  Industrie 4.0 in Produktion, Automatisierung und Logistik. Anwendung · Technologien · Migration , 2014 .

[16]  Birgit Vogel-Heuser,et al.  Industrie 4.0 in Produktion, Automatisierung und Logistik , 2014 .

[17]  Robert W. Brennan,et al.  An architecture for metamorphic control of holonic manufacturing systems , 2001, Comput. Ind..