Rapidly evolving market requirements and fast technological changes force enterprises to target-oriented implementation of smart production and organizational solutions. The continuous evaluation of new business models and according production processes or the modernization of existing production facilities are the foundation for future competitiveness. Therefore, a holistic approach involves modern production technologies, simulation tools, data analytics and continuous optimization of value creation processes.
Target-oriented implementation of industrial robots, machine vision and automation are key factors for the development of new – or the modernization of existing – manufacturing facilities. Real offline simulation tools help to evaluate performance and potential flexibility or to optimize final software parts – even before real hardware is purchased.
Regarding production planning and designing of material flows and logistic systems, simulations aim at investigating in improvement-methods. Thoroughly, relationships are studied on the backdrop of stochastic processes, environmental effects and production planning methods – decision support with advanced visualizations is provided. Furthermore, a potential for optimization can be revealed.
For companies, particularly SMEs, the implementation of smart production and organizational solutions requires fundamental changes in their existing processes, strategies and business models. To realize the manifold competitive advantages, it is important that companies can identify and assess opportunities and potential fields of applications in the context of their individual market position and internal resource basis.
This allows for the identification of solutions that fit to the future strategy of the firm. Strategy studies, methodological support, and latest scientific insights lead to tailor-made solutions that build the basis to explore and implement smart production and organization processes step by step.
Increasing complexity and dynamic changes are core challenges in today´s business environment. The projects in this research cluster are positioned on the interface between technology and economy and aim at the continuous development, optimization and adaption of value creation processes. Therefore we provide a holistic-systemic perspective integrating technical, economical and human factors and develop solutions which demonstrate the path towards excellent and adaptive organizations.
The ongoing demand for technological support and its consequent digitization of industrial processes led to novel working contexts in which businesses increasingly face the challenge of finding the optimal symbiosis of human- and machine-driven tasks. This intersection of technology and human behavior requires for the exploration of different interaction strategies and their impact on everyday business processes.
Potential research directions include the adoption, acceptance and usability of different technologies used in industrial settings as well as their influence on social behavior. Corresponding efforts may span from the analysis and optimization of technology supported value-chains, to the investigation and description of potential human-robot co-working environments.
The collection, storage, cleansing and analysis of large data sets are limited when using conventional methods. New methods and tools of data storage and data processing enable to deal with vast amounts of data in various data formats.
In future more and more machines, goods and things of our daily life are equipped with sensors and radio-enabled chips in order to communicate autonomously which leads to a machine-to-machine (M2M) communication. M2M communication and the Internet of Things (IoT) are important drivers of the digital movement in many fields of our businesses. Thus, they are an important source of huge volumes of usually very detailed data. These data can in turn used as a basis for further innovation.
Research areas at a glance
Forschungsfelder Technologie & Life Sciences im Überblick