CIPLS 2015 - 2015 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'15)
Date2015-12-07 - 2015-12-12
Deadline2015-04-30
VenueCape Town, South Africa
Keywords
Websitehttps://ieee-ssci.org.za
Topics/Call fo Papers
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 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 to address 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
Special Sessions
Please forward your special session or tutorial proposal to the symposium organisers
Symposium Co-Chairs
Bulent Catay
Sabanci University, Turkey. Email: catay-sabanciuniv.edu
Raymond Chiong
The University of Newcastle, Australia. Email:rchiong-AT-swin.edu.au
Patrick Siarry
Universite Paris XII Val de Marne, France.
Email:siarry-AT-u-pec.fr
Program Committee (tentative)
Bernardo Almada-Lobo, University of Porto, Portugal
Tolga Bektas, University of Southampton, UK
Christian Bierwirth, University Halle-Wittenberg, Germany
Hector Cancela, University of the Republic, Uruguay
Maurice Clerc, http://mauriceclerc.net, France
Oscar Cordon, European Centre for Soft Computing, Spain
Moussa Diaf, University of Tizi-Ouzou, Algeria
Deniz Tursel Eliiyi, Izmir University of Economics, Turkey
Mourad Fakhfakh, University of Sfax, Tunisia
Richard Hartl, University of Vienna, Austria
Krystel Castillo, University of Texas at San Antonio, USA
Sadan Kulturel-Konak, Pennyslvania State University, USA
Florian Jaehn, University of Augsburg, Germany
Jorg Lassig, University of Applied Sciences Zittau/Goerlitz, Germany
Guohua Ma, Wentworth Institute of Technology, USA
Frank Meisel, University Halle-Wittenberg, Germany
Zbigniew Michalewicz, University of Adelaide, Australia
Nicolas Monmarche, University of Tours, France
Luc Muyldermans, University of Nottingham, UK
Antonio J Nebro, University of Málaga, Spain
Sylvie Norre, Blaise Pascal University, France
Ceyda Oguz, Koc University, Turkey
Erwin Pesch, University of Siegen, Germany
Henri Pierreval, Clermont University, France
Miguel A Salido, Polytechnic University of Valencia, Spain
Guillaume Sandou, Supelec, France
Fatih Tasgetiren, Yasar University, Turkey
Claudio Toledo, University of Sao Paulo, Brazil
Ozgur Toy, Turkish Naval Academy, Turkey
Stefan Vor, University of Hamburg, Germany
Thomas Weise, University of Science and Technology of China, China
Farouk Yalaoui, Technical University of Troyes, France
Rui Zhang, Nanchang University, China
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 to address 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
Special Sessions
Please forward your special session or tutorial proposal to the symposium organisers
Symposium Co-Chairs
Bulent Catay
Sabanci University, Turkey. Email: catay-sabanciuniv.edu
Raymond Chiong
The University of Newcastle, Australia. Email:rchiong-AT-swin.edu.au
Patrick Siarry
Universite Paris XII Val de Marne, France.
Email:siarry-AT-u-pec.fr
Program Committee (tentative)
Bernardo Almada-Lobo, University of Porto, Portugal
Tolga Bektas, University of Southampton, UK
Christian Bierwirth, University Halle-Wittenberg, Germany
Hector Cancela, University of the Republic, Uruguay
Maurice Clerc, http://mauriceclerc.net, France
Oscar Cordon, European Centre for Soft Computing, Spain
Moussa Diaf, University of Tizi-Ouzou, Algeria
Deniz Tursel Eliiyi, Izmir University of Economics, Turkey
Mourad Fakhfakh, University of Sfax, Tunisia
Richard Hartl, University of Vienna, Austria
Krystel Castillo, University of Texas at San Antonio, USA
Sadan Kulturel-Konak, Pennyslvania State University, USA
Florian Jaehn, University of Augsburg, Germany
Jorg Lassig, University of Applied Sciences Zittau/Goerlitz, Germany
Guohua Ma, Wentworth Institute of Technology, USA
Frank Meisel, University Halle-Wittenberg, Germany
Zbigniew Michalewicz, University of Adelaide, Australia
Nicolas Monmarche, University of Tours, France
Luc Muyldermans, University of Nottingham, UK
Antonio J Nebro, University of Málaga, Spain
Sylvie Norre, Blaise Pascal University, France
Ceyda Oguz, Koc University, Turkey
Erwin Pesch, University of Siegen, Germany
Henri Pierreval, Clermont University, France
Miguel A Salido, Polytechnic University of Valencia, Spain
Guillaume Sandou, Supelec, France
Fatih Tasgetiren, Yasar University, Turkey
Claudio Toledo, University of Sao Paulo, Brazil
Ozgur Toy, Turkish Naval Academy, Turkey
Stefan Vor, University of Hamburg, Germany
Thomas Weise, University of Science and Technology of China, China
Farouk Yalaoui, Technical University of Troyes, France
Rui Zhang, Nanchang University, China
Other CFPs
- 2015 IEEE Symposium on Computational Intelligence in Robotic Rehabilitation and Assistive Technologies (IEEE CIR2AT'2015)
- 2015 IEEE Symposium on Computational Intelligence in Scheduling
- 2015 IEEE IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems
- 2015 IEEE Symposium on Evolving and Automomous Learning Systems (EALS'15)
- IEEE Symposium on Foundations of Computational Intelligence
Last modified: 2015-03-17 22:54:45