Development of intelligent assembly cell conception includes new solution kind of how to create structures of automated and flexible assembly system. The current trend of the final product quality increasing is affected by time analysis of the entire manufacturing process. The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent behavior of the system as the control system will repose on monitoring of important parameters of the system in the real time. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings.
[1] N. Danišová, K. Velíšek, a P. Košťál, "Automated tool changing system
in the intelligent manufacturing and assembly cell", in Proceedings of
the 2009 International Symposium on Computing, Communication and
Control, Singapore, 2009, s. 1-8.
[2] N. Danišová a K. Velíšek, "Intelligent manufacturing and assembly
system.", MD, s. 413-416, 2007.
[3] G. Bohács, D. Gáspár, and A. Rinkács, "Adaptive simulation techniques
for modeling material flow systems," in 2012 IEEE 10th Jubilee
International Symposium on Intelligent Systems and Informatics, SISY
2012, Subotica, 2012, pp. 559-563.
[4] R. Zvolensk├¢, R. Ružarovsk├¢, a K. Vel├¡┼íek, "Design of automated
manufacturing and disassembly systems.", MD, s. 277-282, 2008.
[5] R. Ružarovsk├¢, N. Dani┼íov├í, K. Vel├¡┼íek, "Sensory System Design as an
Implement for the Development of the Intelligent Assembly Cell." In:
Advanced Materials Research. ISSN 1022-6680. ISSN 1662-8985. Vol.
628 : 2012 International Conference on Manufacturing Engineering and
Technology for Manufacturing Growth, METMG 2012, San Diego 1 - 2
November 2012 (2013), ISBN 978-303785570-6, s. 287-291
[6] K. Grzybowska, G. Kovács, "Developing agile supply chains - System
model, algorithms, applications," Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture
Notes in Bioinformatics), vol. 7327 LNAI, pp. 576-585, 2012.
[7] F. Meziane, S. Vadera, K. Kobbacy, N. Proudlove, "Intelligent systems
in manufacturing: current developments and future prospects",
Integrated Manufacturing Systems, ro─ì. 11, ─ì. 4, s. 218-238, 2000.
[8] K. Dani┼íov├í, N., Ružarovsk├¢, R., Vel├¡┼íek, "Design alternatives of
intelligent camera system for check parts at the intelligent
manufacturing-assembly cell", Applied Mechanics and Materials, ro─ì.
58-60, s. 2262-2266, 2011.
[9] C. Chituc, F. José Restivo, "Challenges and Trends in Distributed
Manufacturing Systems: Are wise engineering systems the ultimate
answer?", in Challenges and Trends in Distributed Manufacturing
Systems, Cambridge, Massachusetts, 2009.
[10] R. Ružarovsk├¢, S. ┼áebeňov├í, K. Vel├¡┼íek, "Design of the sensory system
in the intelligent assembly cell." No. 1. Annals of DAAAM for 2011 &
Proceedings of the 22nd International DAAAM Symposium Intelligent
Manufacturing & Automation: Power of Knowledge and Creativity, 23-
26th November 2011, Vienna, Austria. Vienna: DAAAM International,
2011. ISBN 978-3-901509-83-4, s. 0095-0096
[11] John G. Bollinger et al, "Visionary Manufacturing Challenges for 2020",
Committee on Visionary Manufacturing Challenges, Board on
Manufacturing and Engineering Design, Commission on Engineering
and Technical Systems, National Research Council, National Academy
Press, Washington D.C., 1998,
http://newton.nap.edu/catalog/6314.html#toc.
[12] C. Christo, C. Cardeira "Trends in intelligent Manufacturing Systems,"
IEEE International Symposium on 4.-7. June, 2007 Industrial
electronics, ISIE 2007, Vigo, 2007, E - ISBN 978-1-4244-0755-2, pp.
3209 - 3214.
[1] N. Danišová, K. Velíšek, a P. Košťál, "Automated tool changing system
in the intelligent manufacturing and assembly cell", in Proceedings of
the 2009 International Symposium on Computing, Communication and
Control, Singapore, 2009, s. 1-8.
[2] N. Danišová a K. Velíšek, "Intelligent manufacturing and assembly
system.", MD, s. 413-416, 2007.
[3] G. Bohács, D. Gáspár, and A. Rinkács, "Adaptive simulation techniques
for modeling material flow systems," in 2012 IEEE 10th Jubilee
International Symposium on Intelligent Systems and Informatics, SISY
2012, Subotica, 2012, pp. 559-563.
[4] R. Zvolensk├¢, R. Ružarovsk├¢, a K. Vel├¡┼íek, "Design of automated
manufacturing and disassembly systems.", MD, s. 277-282, 2008.
[5] R. Ružarovsk├¢, N. Dani┼íov├í, K. Vel├¡┼íek, "Sensory System Design as an
Implement for the Development of the Intelligent Assembly Cell." In:
Advanced Materials Research. ISSN 1022-6680. ISSN 1662-8985. Vol.
628 : 2012 International Conference on Manufacturing Engineering and
Technology for Manufacturing Growth, METMG 2012, San Diego 1 - 2
November 2012 (2013), ISBN 978-303785570-6, s. 287-291
[6] K. Grzybowska, G. Kovács, "Developing agile supply chains - System
model, algorithms, applications," Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture
Notes in Bioinformatics), vol. 7327 LNAI, pp. 576-585, 2012.
[7] F. Meziane, S. Vadera, K. Kobbacy, N. Proudlove, "Intelligent systems
in manufacturing: current developments and future prospects",
Integrated Manufacturing Systems, ro─ì. 11, ─ì. 4, s. 218-238, 2000.
[8] K. Dani┼íov├í, N., Ružarovsk├¢, R., Vel├¡┼íek, "Design alternatives of
intelligent camera system for check parts at the intelligent
manufacturing-assembly cell", Applied Mechanics and Materials, ro─ì.
58-60, s. 2262-2266, 2011.
[9] C. Chituc, F. José Restivo, "Challenges and Trends in Distributed
Manufacturing Systems: Are wise engineering systems the ultimate
answer?", in Challenges and Trends in Distributed Manufacturing
Systems, Cambridge, Massachusetts, 2009.
[10] R. Ružarovsk├¢, S. ┼áebeňov├í, K. Vel├¡┼íek, "Design of the sensory system
in the intelligent assembly cell." No. 1. Annals of DAAAM for 2011 &
Proceedings of the 22nd International DAAAM Symposium Intelligent
Manufacturing & Automation: Power of Knowledge and Creativity, 23-
26th November 2011, Vienna, Austria. Vienna: DAAAM International,
2011. ISBN 978-3-901509-83-4, s. 0095-0096
[11] John G. Bollinger et al, "Visionary Manufacturing Challenges for 2020",
Committee on Visionary Manufacturing Challenges, Board on
Manufacturing and Engineering Design, Commission on Engineering
and Technical Systems, National Research Council, National Academy
Press, Washington D.C., 1998,
http://newton.nap.edu/catalog/6314.html#toc.
[12] C. Christo, C. Cardeira "Trends in intelligent Manufacturing Systems,"
IEEE International Symposium on 4.-7. June, 2007 Industrial
electronics, ISIE 2007, Vigo, 2007, E - ISBN 978-1-4244-0755-2, pp.
3209 - 3214.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:55321", author = "Radovan Holubek and Matus Vlasek and Peter Kostal", title = "General Process Control for Intelligent Systems", abstract = "Development of intelligent assembly cell conception includes new solution kind of how to create structures of automated and flexible assembly system. The current trend of the final product quality increasing is affected by time analysis of the entire manufacturing process. The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent behavior of the system as the control system will repose on monitoring of important parameters of the system in the real time. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings.
", keywords = "Control system, intelligent manufacturing / assemble systems, manufacturing, monitoring process.", volume = "7", number = "5", pages = "848-5", }
