CARS and FoF 2013 - 27th International Conference on CADCAM, Robotics and Factories of the Future 2013

The International Society for Productivity Enhancement (ISPE) was founded in 1984 in the USA with the goal to accelerate and augment the international exchange of ideas and scientific knowledge in the field of technological applications. The primary aim is to integrate technologies, strategies and resources to enhance productivity, competitiveness and thereby improve the quality and standard of life. ISPE has been promoting research and education by organising conferences, training workshops and seminars and various other professional activities. Among others, the primary aim of ISPE is to unite, on a common platform, policy makers researchers, people from academia, engineers and users of CAD/CAM, Robotics and Automation, and Advanced Manufacturing Technologies. Middlesex University was the host organiser for the 12th CARs&FoF in 1996.
MIDDLESEX UNIVERSITY
Middlesex University is a UK based university with campuses in London, Dubai, Mauritius and India. It offers a wide ranging subjects and has a student population of 37,000 globally, 22,000 of which are based in the London campuses at Hendon and Trent Park. Middlesex University has a reputation for the highest quality teaching, research that makes a real difference to people’s lives and a practical, innovative approach to working with businesses to develop staff potential and provide solutions to business issues. Expertise in the university is wide ranging, from engineering, information, health and social sciences, to business, arts and education ? and it leads developments in work based learning solutions in the UK. The work of the University is recognised internationally and has won numerous awards, several of these from the HRM Queen. Most recent award is the Queen’s Award for Enterprise in 2011, recognising our international work.
Themes
All researchers, engineers and scientists around the world are invited to contribute papers in this conference. Posters submissions are also encouraged which report on work in progress. Original research papers, not published elsewhere, are invited in, but not limited to, the following topics:
A. Product Development and Sustainability
New product development, design tools, concurrent engineering, sustainable manufacturing, design for X tools, product lifecycle, “green” manufacturing, clean technologies, waste management, material recycling and treatment.
B. Modelling and Simulation
Modelling and simulation of complex manufacturing systems, multi-site distributed scheduling, tool wear, process optimisation tools, data-mining, modelling of knowledge assets, design and optimisation tools in CADCAM.
C. Automation, Robotics and Handling Systems
Cognitive manufacturing, machine vision, advanced control systems, interoperability, knowledge based systems, genetic algorithms, agent-based systems, distributed and integrated control systems, intelligent systems, autonomous systems, mobile robots, emergent systems, reconfigurable control, wireless sensors and sensor networks for manufacturing, collaborative robots and human-machine interactions, reconfigurable manufacturing systems.
D. Supply Chain Management and Logistics
Logistics and global supply chains, dynamic supply chains, supply chain performance management, modelling and optimization.
E. Advanced Quality Systems Tools and Quality Management
Improvements methods, reliability tools, impact of globalization, statistical methods, lean & agile manufacturing, strategic planning and management, manufacturing information systems, web-based systems, enterprise resource planning, automatic data capture, enterprise modelling.
F. Advanced Manufacturing Processes
Micro and nano manufacturing and technologies, self assembly, advanced materials processing, laser technology, surface technology, ultrasonics, additive manufacturing processes.
G. Human Aspects in Engineering Activities
Man-machine systems, ergonomics, occupational safety, risk management, decision support systems, applications of visual analytics in manufacturing.
H. Emerging Scenarios in Engineering Education and Training
Tools, methods, solutions, distance learning, virtual labs, e-learning, blended learning, problem based teaching,learning and assessment strategies, innovative curriculum design.