Industrial systems management
Quality, safety and efficiency requirements on increasingly complex technological systems call for better methods and approaches for the development and control of these systems. Examples of complex technological systems are manufacturing networks, factories, machines, vehicles, and control and supervision systems. The systems are combinations of technologies, humans and ways of action. All three aspects of the system are essential. The goal of the industrial systems research is to develop better methods and tools to deal with the challenges of new technologies and complicated applications.
The fast change of technology and a turbulent business environment make the decisions and optimisation of companies challenging. The quality of decisions and the management of risks and uncertainty can be improved using mathematical methods. In the research we apply system analysis tools combined with economic and technical knowledge. System dynamic modelling is used in the analysis of both technical systems and organisations.
Human-technology interaction research develops new approaches and methods to analyse and design better usability of systems. Good usability based on user-centred design can be an important competitive factor for system providers. In safety-critical applications, the organisation culture has a great influence on the use of technologies (for example, chemical industry, nuclear power, ships, health care).
In advanced mechanical engineering research new solutions are developed, for example, for the management of noise, vibrations and fatigue in machines and vehicles. Research also focuses on control, automation and remote operation of machines, safety and reliability, condition monitoring and life cycle management. New functional materials are developed for machine applications. The improvement of the ecoefficiency of machines is also an essential area.
In the Factory of the Future research the important themes are simulation and modelling of production, production and operations management, applications of virtual and augmented reality technologies, manufacturing methods (laser technology, micromanufacturing, rapid manufacturing), organisational factors, and occupational safety and risk management. Manufacturing systems are also global networks. The challenge is the management and control of dynamic networks when the nodes of the network are independent companies with their own business goals.
Engineering work and information management have a crucial role in dealing with the increasing requirements on technological systems. Research themes are design methods of multitechnical systems, definition and management of requirements, design languages (ontologies, semantic networks), modelling and simulation, simulation-based engineering, and verification of systems. The goal is to minimise the costs of the product process, to manage the product and product process information, to verify the quality and to shorten the product development time. The design of life cycle services is also an important part of product development. Globalisation sets new challenges on the cooperation and tools of engineering organisations.