Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project

Evolvable Assembly Systems is a five year UK research council funded project into flexible and reconfigurable manufacturing systems. The principal goal of the research programme has been to define and validate the vision and support architecture, theoretical models, methods and algorithms for Evolvable Assembly Systems as a new platform for open, adaptable, context-aware and cost effective production. The project is now coming to a close; the concepts developed during the project have been implemented on a variety of demonstrators across a number of manufacturing domains including automotive and aerospace assembly. This paper will show the progression of demonstrators and applications as they increase in complexity, specifically focussing on the Future Automated Aerospace Assembly Phase 1 technology demonstrator (FA3D). The FA3D Phase 1 demonstrated automated assembly of aerospace products using precision robotic processes in conjunction with lowcost reconfigurable fixturing supported by large volume metrology. This was underpinned by novel agent-based control for transformable batch-size-of-one production. The paper will conclude by introducing Phase 2 of the Future Automated Aerospace Assembly Demonstrator currently in development that will translate the Evolvable Assembly Systems research to a higher technology readiness level and address the challenges of scalable and transformable manufacturing systems.

[1]  Yasumichi Aiyama,et al.  A holonic architecture for easy reconfiguration of robotic assembly systems , 2003, IEEE Trans. Robotics Autom..

[2]  T. Shallice What ghost in the machine? , 1992, Nature.

[3]  Svetan Ratchev,et al.  Common shared system model for evolvable assembly systems , 2018 .

[4]  Brian Logan,et al.  Toward Process Control from Formal Models of Transformable Manufacturing Systems , 2017 .

[5]  Mauro Onori,et al.  Evolvable assembly systems: coping with variations through evolution , 2008 .

[6]  A. Tharumarajah,et al.  Comparison of the bionic, fractal and holonic manufacturing system concepts , 1996 .

[7]  Tullio Tolio,et al.  SPECIES—Co-evolution of products, processes and production systems , 2010 .

[8]  Weiming Shen Information Technology For Balanced Manufacturing Systems - IFIP TC5, WG 5.5 Seventh International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, Niagara Falls, Ontario, Canada, September 4-6, 2006 , 2006, BASYS.

[9]  Seok-Hee Lee,et al.  Behaviour modelling and control of computer integrated manufacturing , 2003, Int. J. Comput. Integr. Manuf..

[10]  Marco Dorigo,et al.  Ant algorithms and stigmergy , 2000, Future Gener. Comput. Syst..

[11]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[12]  Mauro Onori,et al.  Evolvable Assembly Systems Basic Principles , 2006, BASYS.

[13]  Salim Hariri,et al.  Autonomic Computing : Concepts, Infrastructure, and Applications , 2006 .

[14]  Brian Logan,et al.  Synthesising Industry-Standard Manufacturing Process Controllers , 2017, AAMAS.

[15]  Kazuhiro Ohkura,et al.  Modelling of Biological Manufacturing Systems for Dynamic Reconfiguration , 1997 .

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

[17]  Brian Logan,et al.  Realisability of Production Recipes , 2016, ECAI.

[18]  Albert Jones,et al.  Modeling agents as joint cognitive systems in smart manufacturing systems , 2018, Manufacturing Letters.

[19]  Paul Holmes,et al.  Smart Manufacturing and Reconfigurable Technologies: Towards an Integrated Environment for Evolvable Assembly Systems , 2016, 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W).

[20]  Mauro Onori,et al.  For Peer Review O nly ( Costing ) Cost Engineering for Manufacturing : Current and Future Research , 2010 .

[21]  Dídac Busquets,et al.  Advanced Manufacturing: An Industrial Application for Collective Adaptive Systems , 2015, 2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops.

[22]  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 .

[23]  Hong-Seok Park,et al.  An autonomous manufacturing system based on swarm of cognitive agents , 2012 .

[24]  Yoram Koren,et al.  Reconfigurable Manufacturing and Beyond , 2012 .

[25]  Botond Kádár,et al.  Towards adaptive and digital manufacturing , 2010, Annu. Rev. Control..

[26]  H. V. Parunak Chapter 10 – Manufacturing Experience with the Contract Net , 1987 .

[27]  László Monostori,et al.  A Step towards Intelligent Manufacturing: Modelling and Monitoring of Manufacturing Processes through Artificial Neural Networks , 1993 .

[28]  Lavindra de Silva,et al.  Interfacing Agents with an Industrial Assembly System for "Plug and Produce": (Demonstration) , 2015, AAMAS.

[29]  Ahmed Azab,et al.  Modelling evolution in manufacturing: A biological analogy , 2008 .

[30]  A. Galip Ulsoy,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000, J. Intell. Manuf..

[31]  Christian Onof,et al.  Stigmergic epistemology, stigmergic cognition , 2008, Cognitive Systems Research.

[32]  F. Musharavati RECONFIGURABLE MANUFACTURING SYSTEMS , 2010 .

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

[34]  Massimiliano Mascherini,et al.  The future of manufacturing in Europe , 2019 .

[35]  Radu F. Babiceanu,et al.  Development and Applications of Holonic Manufacturing Systems: A Survey , 2006, J. Intell. Manuf..

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

[37]  Svetan Ratchev,et al.  A Transformable Manufacturing Concept for Low-Volume Aerospace Assembly , 2017 .

[38]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[39]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[40]  Botond Kádár,et al.  Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems , 2013 .

[41]  Frank Ortmeier,et al.  Design and construction of organic computing systems , 2007, 2007 IEEE Congress on Evolutionary Computation.

[42]  J. Barata,et al.  Evolvable production systems , 2009, 2009 IEEE International Symposium on Assembly and Manufacturing.

[43]  Hans-Jrgen Warnecke,et al.  The Fractal Company: A Revolution in Corporate Culture , 1997 .

[44]  Roland Rosen,et al.  About The Importance of Autonomy and Digital Twins for the Future of Manufacturing , 2015 .

[45]  Barbara Webb,et al.  Swarm Intelligence: From Natural to Artificial Systems , 2002, Connect. Sci..

[46]  Hartmut Schmeck,et al.  Organic Computing - A Paradigm Shift for Complex Systems , 2011, Organic Computing.