Global crises, supply bottlenecks and short-term market changes are increasingly jeopardising industrial supply chains. Small and medium-sized enterprises (SMEs) in particular are faced with the challenge of making well-founded decisions under uncertainty in order to safeguard their production. In the past, companies often had to react spontaneously without having a solid basis for decision-making. This is precisely where PARMa comes in by providing data-based simulation and analysis tools that create transparency about potential risks and possible courses of action.

The PARMa project aims to improve the resilience of production systems to shock events. Model-based simulations enable companies to recognise disruptions at an early stage and derive suitable countermeasures.

The Manufacturing Operations Management (MOM) research group is developing a production model configurator together with the Institute of Production Systems and Logistics (IFA) at Leibniz Universität Hannover. This can be used to simulate company-specific shock events, such as delivery delays or supplier failures. The analysis is based on the modelling of production networks of practice partners and makes it possible to test measures to increase resilience. For this purpose, various types and intensities of shock events from historical data are analysed in a simulation environment on the mapped system. The effects of measures can then also be tested. We bundle validated measures in a resilience toolkit, which provides concrete recommendations for action to help companies remain robust and adaptable.