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Special Session Organizers

The DCISM 2019 special session focuses on research into the new generation of industrial Information and Communication Technologies (ICT) that will be able to increase the flexibility and efficiency of production while at the same time supporting the optimal matching of products to the individual needs of the customer. Enterprises are increasingly using new ICT such as communication and wireless identification RFID, IoT (Internet of Things), Cloud Computing, machine learning and data mining. Information that describes both the product itself and the production process has become more and more precise, while on the other hand, the huge volume of data makes it difficult to interpret that information correctly. One of the most effective solutions for coping with the big data problem is to move from centralised decision-support systems to distributed artificial intelligence, which will process the information locally in cooperation with its neighbourhood. The new generation of ICT support for manufacturing led to the vision of a smart factory, which is characterised by agility, a high level of mutability and ergonomic working conditions. Along with a high level of automation, the development of intelligent monitoring and autonomous decisionmaking processes is important in order to control and optimise both industrial companies and entire value-adding networks efficiently. In today’s factories, operating, monitoring, diagnosing and troubleshooting automated production systems is already being supported by ICT solutions such as Enterprise Resource Planning (ERP) Systems, Manufacturing Execution Systems (MES) and remote maintenance concepts. However, the functions of centralised industrial systems are increasingly being shifted to decentralised systems that are linked via wireless communication under the IoTS (Internet of Things and Services). The successive dissolution of the hierarchical industrial computer systems that are based on the automation pyramid into new models is one of main issues covered under DCSIM 2019 research area.