For Peer Review O nly ( Costing ) Cost Engineering for Manufacturing : Current and Future Research

Current major road mapping efforts, such as ManuFuture, Fut Man and EUPASS, have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. The essence of evolvability resides not only in the ability of system components to adapt to the changing conditions of operation, but also to assist in the evolution of these components in time such that processes may become self-X, x standing for one more desirable properties of a system subjected to a variable operation condition such as self-evolvable, self-reconfigurable, self-tuning, self-diagnosing, etc. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules integrated. To assist the development and life cycle issues, comprehensive methodological framework is being developed. A concerted effort is being exerted through European research projects in collaboration with European manufacturers, technology/equipment suppliers, and universities. After briefly stating the fundamental concepts of EPS, this paper presents current developments and applications.

[1]  Hoda A. ElMaraghy,et al.  Flexible and reconfigurable manufacturing systems paradigms , 2005 .

[2]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

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

[4]  Kenwood H. Hall,et al.  Rockwell automation agents for manufacturing , 2005, AAMAS '05.

[5]  Mauro Onori A Low Cost Robot Programming System For FAA Cells , 1997 .

[6]  Kenwood H. Hall,et al.  An Intelligent Agent Validation Architecture for Distributed Manufacturing Organizations , 2004, BASYS.

[7]  Mauro Onori,et al.  Evolvable Production Systems: Mechatronic Production Equipment with Process-Based Distributed Control , 2009 .

[8]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..

[9]  Mauro Onori,et al.  Evolvable production systems:enabling research domains , 2007 .

[10]  Dr,et al.  Network of Excellence Information Society Technologies Priority , .

[11]  F. Scapolo,et al.  The Future of Manufacturing in Europe 2015-2020 The Challenge for Sustainability , 2003 .

[12]  M. Onori,et al.  Evolvable Assembly Systems: Developments and Advances , 2007, 2007 IEEE International Symposium on Assembly and Manufacturing.

[13]  H. Van Dyke Parunak Agents in Overalls: Experiences and Issues in the Development and Deployment of Industrial Agent-Based Systems , 2000, Int. J. Cooperative Inf. Syst..

[14]  Kemal A. Delic,et al.  On the emerging future of complexity sciences , 2006, UBIQ.

[15]  Peter J. Fleming,et al.  Evolutionary algorithms in control systems engineering: a survey , 2002 .

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

[17]  Ali M. S. Zalzala,et al.  Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons , 2000, IEEE Trans. Evol. Comput..

[18]  F. Iovane,et al.  The Manufuture road: towards competitive and stainable high-adding-value manufacturing , 2009 .

[19]  László Monostori,et al.  Agent-based systems for manufacturing , 2006 .