You are kindly invited to the Stream Modeling and optimization approaches for Industry 4.0 and Smart Manufacturing at the 22nd Conference of the International Federation of Operational Research Societies ( IFORS 2020 ), Seoul, Korea ( [ http://www.ifors2020.kr/ <http://www.ifors2020.kr/> | http://www.ifors2020.kr/ ] ).
If you intend to participate, please upload an abstract of maximum 1500 characters, including spaces, to the EURO Conference submission platform ( [ https://www.euro-online.org/conf/ifors2020/ | https://www.euro-online.org/conf/ifors2020/ ] ).
Session Modeling and optimization approaches for Industry 4.0 and Smart Manufacturing
Session code: 513e83a8
Session organizers : Farouk Yalaoui (farouk.yalaoui@utt.fr <mailto:farouk.yalaoui@utt.fr>), Thomas Usländer (thomas.uslaender@iosb.fraunhofer.de <mailto:thomas.uslaender@iosb.fraunhofer.de>), Taha Arbaoui (taha.arbaoui@utt.fr <mailto:taha.arbaoui@utt.fr>)
With the emergence of the 4th industrial revolution, often called Industry 4.0, new manufacturing organizations/configurations, enhanced with innovative technologies such as advanced robotics, Internet of Things (IoT), data acquisition and analytics as well as business models will be applied. Thus, companies and factories, faced with increasing competitiveness, are working on the development of new algorithms and systems to cope with the increasing practice of autonomous machines, the demand load and environmental and energy constraints. Moreover, they consistently deal with a dynamic and agile environment, characterized by a considerable amount of data, changing manufacturing processes and paradigms and uncertain inputs.
This session is devoted to novel intelligent models and approaches and resulting smart manufacturing systems tackling the next generation manufacturing problems such as: online scheduling, simulation-optimization frameworks, data-driven optimization, adequate IT architectures, product-service systems, etc. We aim at gathering researchers and practitioners working on promising research directions and recent advances in these topics. The scope of the session includes, but is not limited to the following topics:
· New algorithms for online scheduling problems
· Intelligent manufacturing systems
· Simulation-optimization models for manufacturing systems
· New algorithms for self-optimization of distributed manufacturing system
· Advanced evolutionary algorithms for effective manufacturing
· Robust optimization for scheduling and production planning under uncertainty
· Efficient energy optimization in manufacturing and planning
· Intelligent systems for warehouse management
· Data-driven optimization for manufacturing
· Information technology architectures and standards for next-generation manufacturing systems
· Agile product-service- system engineering
Session Operations research techniques for complex systems scheduling
Session code: eeb4ec1e
Session organizers : Farouk Yalaoui (farouk.yalaoui@utt.fr <mailto:farouk.yalaoui@utt.fr>), Yassine Ouazene (yassine.ouazene@utt.fr <mailto:yassine.ouazene@utt.fr>)
This special session deals with optimization challenges of modern logistics and production systems. Original studies based on the intelligent computing for modeling and optimizing different scheduling problems may be proposed. This session aims also to present recent developments on Operations Research techniques and other applications of intelligent computing skills (heuristics and metaheuristics) for the optimization of different services, production and logistics systems.
The topics of interest include, but are not limited to:
o Heuristic and metaheuristic algorithms for scheduling problems
o Exact algorithms (Brand and Bounds, Dynamic programming …)
o Different scheduling applications (timetabling, network routing, personnel scheduling, production scheduling, resource-constrained project scheduling, etc.)
o Energy-efficient scheduling problems
o Single and multi-objective scheduling
o Other related topics
Dates: June 21-26 (Sun-Fri), 2020
Location: Seoul, Korea
Abstract submission closes: 17 th January ***extended to 31 st January*** 2020
Submit an abstract: [ https://www.euro-online.org/conf/ifors2020/ | https://www.euro-online.org/conf/ifors2020/ ]
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