Industrial systems grow in terms of size, capacity, complexity and ambient pollution. They also interact more with the environment and are controlled real time. People however expect industrial systems, and transport and production systems in particular to be safe, flexible, efficient, reliable, and labour extensive. Future industrial systems therefore have to be designed in a different way focusing on their control and management, the powering of the equipment used, the effects of automation, and their ambient impact. Control systems used in transport systems today are centralized, mostly rigid systems. The applied intelligence is installed at system level and not at equipment or component level. It is therefore impossible to achieve the safety, mobility, flexibility and the increase in capacity essential for tomorrow’s systems.
To achieve this, tools for design, control, simulation and optimization need to be developed that are based on fundamental innovations and new insights gained into the physics of continuous transport phenomena, as well as the development of agile logistic control systems for discrete transport systems using distributed intelligence.
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