2017 IEEE Symposium on Computational Intelligence in Production and Logistics Systems ( CIPLS'17 )
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 gain 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. Nevertheless, we also welcome submissions describing innovative operations research and/or decomposition methods that are able to provide state-of-the-art solutions to the aforementioned issues, as a way to encourage interactions between researchers from computational intelligence and the general operations research community. 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.
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. Nevertheless, we also welcome submissions describing innovative operations research and/or decomposition methods that are able to provide state-of-the-art solutions to the aforementioned issues, as a way to encourage interactions between researchers from computational intelligence and the general operations research community. 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
Accepted
Special Sessions
- Special Session on Operations Research Techniques for Modeling and Optimizing Logistics and Production Systems
- Organizers:
Farouk Yalaoui, University of Technology of Troyes, France
Yassine Ouazene, University of Technology of Troyes, France - More Information
Symposium Co-Chairs
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Bülent Catay Sabanci University, Turkey Email: catay@sabanciuniv.edu |
 |
Raymond Chiong The University of Newcastle, Australia Email:Raymond.Chiong@newcastle.edu.au |
 |
Patrick Siarry Patrick Siarry, Université Paris-Est Créteil, France Email:siarry@u-pec.fr |
Program Committee
- 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, https://mauriceclerc.net, France
- Óscar Cordón, University of Granada, Spain
- Berna Dengiz, Baskent University, Turkey
- Moussa Diaf, University of Tizi-Ouzou, Algeria
- Deniz Tursel Eliiyi, Yasar University, 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 of Kiel, Germany
- Zbigniew Michalewicz, University of Adelaide, Australia
- Nicolas Monmarche, University of Tours, France
- Luc Muyldermans, University of Nottingham, UK
- Antonio J Nebro, University of Malaga, 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
- Ruhul A Sarker, University of New South Wales, Australia
- Alice E Smith, Auburn University, USA
- Shiji Song, Tsinghua University, China
- Fatih Tasgetiren, Yasar University, Turkey
- Claudio Toledo, University of Sao Paulo, Brazil
- Ozgur Toy, Istanbul Bilgi University, Turkey
- Stefan Voss, University of Hamburg, Germany
- Thomas Weise, University of Science and Technology of China, China
- Farouk Yalaoui, Technical University of Troyes, France
- Rui Zhang, Xiamen University of Technology, China