CIPLS 2013 - CIPLS 2013 2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems
Topics/Call fo Papers
CIPLS 2013
2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems
The management of production and logistics systems in today’s fierce competition environment is a difficult task and has become progressively complex. Major changes in products, processes, technologies, and societies bring along remarkable challenges and increasing market demands. Modelling and optimisation of the complex problems arising in production and logistics systems is of paramount importance in surviving and achieving competitive gains in productivity and quality.
In recent years, the advancements in computer technology have allowed researchers to tackle large-scale problems and to develop and integrate efficient optimisation techniques for solving them. Within this context, CIPLS aims at addressing issues related to the design, planning, control, and continuous improvement of production and logistics systems using computational intelligence, including local search methods, evolutionary algorithms and other nature-inspired optimisation techniques. The intention is to cover various aspects of production from aggregate planning to shop-floor execution systems and modelling, planning and control of logistics systems. Studies incorporating real-world applications are highly encouraged.
Topics
Recommended topics include, but are not limited to, the following:
Production planning and control
Flexible manufacturing systems
Integrated production system and process design
Capacity planning
Lot sizing
Assembly lines
Inventory control
Facilities planning and design
Transport and distribution planning
Vehicle routing and scheduling
Multi-modal transport
Sustainability and green logistics
Logistics network design
Decision support systems in production and logistics
Keynote, Tutorial and Panel Sessions
Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.
Special Sessions
Please forward your special session proposals to Symposium Co-Chairs.
Symposium Co-Chairs
Bülent Çatay, Sabanci University, Turkey
Raymond Chiong, Swinburne University of Technology, Australia
Patrick Siarry, Université Paris XII Val de Marne, France
Program Committee (Tentative)
Tolga Bektas, University of Southampton, UK
Héctor Cancela, University of the Republic, Uruguay
Maurice Clerc, http://mauriceclerc.net, France
Oscar Cordón, European Centre for Soft Computing, Spain
Moussa Diaf, University of Tizi-Ouzou, Algeria
Deniz Türsel Eliiyi, Izmir University of Economics, Turkey
Mourad Fakhfakh, University of Sfax, Tunisia
Jörn Grahl, Johannes Gutenberg-Universität Mainz, Germany
Martin Grunow, Technische Universität München, Germany
Joerg Laessig, International Computer Science Institute (ICSI), UC Berkeley, USA
Guohua Ma, Wentworth Institute of Technology, USA
Zbigniew Michalewicz, University of Adelaide, Australia
Nicolas Monmarché, University of Tours, France
Luc Muyldermans, University of Nottingham, UK
Antonio J Nebro, University of Málaga, Spain
Ceyda Oguz, Koc University, Turkey
Erwin Pesch, Universität Siegen, Germany
Anna Piwońska, Technical University of Bialystok, Poland
Ruhul A Sarker, University of New South Wales, Australia
Özgür Toy, Turkish Naval Academy, Turkey
Joaquín Bautista Valhondo, Technical University of Catalonia, Spain
Thomas Weise, University of Science and Technology of China, China
2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems
The management of production and logistics systems in today’s fierce competition environment is a difficult task and has become progressively complex. Major changes in products, processes, technologies, and societies bring along remarkable challenges and increasing market demands. Modelling and optimisation of the complex problems arising in production and logistics systems is of paramount importance in surviving and achieving competitive gains in productivity and quality.
In recent years, the advancements in computer technology have allowed researchers to tackle large-scale problems and to develop and integrate efficient optimisation techniques for solving them. Within this context, CIPLS aims at addressing issues related to the design, planning, control, and continuous improvement of production and logistics systems using computational intelligence, including local search methods, evolutionary algorithms and other nature-inspired optimisation techniques. The intention is to cover various aspects of production from aggregate planning to shop-floor execution systems and modelling, planning and control of logistics systems. Studies incorporating real-world applications are highly encouraged.
Topics
Recommended topics include, but are not limited to, the following:
Production planning and control
Flexible manufacturing systems
Integrated production system and process design
Capacity planning
Lot sizing
Assembly lines
Inventory control
Facilities planning and design
Transport and distribution planning
Vehicle routing and scheduling
Multi-modal transport
Sustainability and green logistics
Logistics network design
Decision support systems in production and logistics
Keynote, Tutorial and Panel Sessions
Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.
Special Sessions
Please forward your special session proposals to Symposium Co-Chairs.
Symposium Co-Chairs
Bülent Çatay, Sabanci University, Turkey
Raymond Chiong, Swinburne University of Technology, Australia
Patrick Siarry, Université Paris XII Val de Marne, France
Program Committee (Tentative)
Tolga Bektas, University of Southampton, UK
Héctor Cancela, University of the Republic, Uruguay
Maurice Clerc, http://mauriceclerc.net, France
Oscar Cordón, European Centre for Soft Computing, Spain
Moussa Diaf, University of Tizi-Ouzou, Algeria
Deniz Türsel Eliiyi, Izmir University of Economics, Turkey
Mourad Fakhfakh, University of Sfax, Tunisia
Jörn Grahl, Johannes Gutenberg-Universität Mainz, Germany
Martin Grunow, Technische Universität München, Germany
Joerg Laessig, International Computer Science Institute (ICSI), UC Berkeley, USA
Guohua Ma, Wentworth Institute of Technology, USA
Zbigniew Michalewicz, University of Adelaide, Australia
Nicolas Monmarché, University of Tours, France
Luc Muyldermans, University of Nottingham, UK
Antonio J Nebro, University of Málaga, Spain
Ceyda Oguz, Koc University, Turkey
Erwin Pesch, Universität Siegen, Germany
Anna Piwońska, Technical University of Bialystok, Poland
Ruhul A Sarker, University of New South Wales, Australia
Özgür Toy, Turkish Naval Academy, Turkey
Joaquín Bautista Valhondo, Technical University of Catalonia, Spain
Thomas Weise, University of Science and Technology of China, China
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- CIVI 2013 2013 IEEE Workshop on Computational Intelligence for Visual Intelligence
- CIVTS 2013 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems
Last modified: 2012-07-01 20:01:10