| |||||||||||||||
MIM 2019 : 9th IFAC Triannual Conference on Manufacturing Modeling, Management and Control | |||||||||||||||
Link: https://blog.hwr-berlin.de/mim2019 | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
MIM 2019 Mission: Connect Industrial Engineering, OR and Data Science for better management decision-support systems in digital, resilient and sustainable manufacturing and supply chains in the era of Industry 4.0
The central theme of the 9th IFAC/IFIP/IFORS/IISE/INFORMS Conference on Manufacturing Modelling, Management and Control MIM 2019 will be Digital, Resilient and Sustainable Manufacturing 4.0 Digitalization, resilience, and sustainability shape current and future trends in manufacturing modelling, management, and control. The aim of MIM 2019 is to bring together researchers and practitioners in industrial engineering, manufacturing systems, operations research, supply chain management, and business informatics to present and discuss emerging topics in modern manufacturing modeling, management, and control. MIM’2019 will follow a rich tradition of previous IFAC conferences and symposia in Manufacturing and Logistics held in Germany. MIM’2019 will focus in particular on the most innovative methods proposed in the last few years in the context of digitalization, risk management, and resilience in production and logistics systems in the 21st century. The conference will cover all topics related to design, implementation and operation of modern manufacturing systems in digitalization era, including (but not limited to) the following: Analytics, optimization and machine learning in manufacturing and supply chains Digital supply chain Data-driven applications in manufacturing Design and reconfiguration of manufacturing systems Facility planning and materials handling Industry 4.0 Digital manufacturing networks and smart operations Artificial intelligence applications to manufacturing Inventory control, production planning and scheduling Risk management, resilience and flexibility Logistics, supply chains and networks Supply network dynamics and control Control theory applications to production systems and supply chains Operations and supply chain simulation Sustainable manufacturing Business analytics for manufacturing systems Market responsive supply chains Enterprise modelling, integration and networking Information, systems, control and interoperability Information management for the Net-Enterprise Modeling, simulation, control and monitoring of manufacturing processes Robotics in manufacturing Intelligent manufacturing systems Intelligent transportation Service oriented architecture for production management and control Knowledge management in production Fostering innovation in manufacturing Monitoring, diagnosis and maintenance of manufacturing systems Complex adaptive systems and emergent synthesis in manufacturing Web-enabled manufacturing control and wireless automation Design for reusability Maintainability, reliability, safety and dependability of production systems Quality management Virtual reality Sensor networks, ubiquitous computing, active identifiers, wireless communication in manufacturing Distributed systems and multi-agents technologies Discrete event systems in manufacturing Simulation technologies Operations research Probabilistic models in industrial plant control Industrial and applied mathematics for production |
|