A Concept For Data-Driven Decision-Making During The Production Ramp-Up To Increase Resilience In Value Networks

Manufacturing companies are challenged by an increased number of production ramp-ups in shorter intervals due to shorter product life cycles and dynamically changing customer demands. The complexity of new products and the corresponding production systems, particularly in the value network, adds to this challenge.This complexity leads to an increased number of disruptions during the production ramp-up, to which manufacturing companies must be able to adapt flexibly. Although methodological support is available, there is a lack of data-driven approaches for adapting and reacting to potential disruptions during the production ramp-up in the value network. Therefore, this article presents a concept for a data-driven approach in value networks during production ramp-ups to flexibly adapt to disruptions. First, a method for describing and categorizing disruptions and corresponding mitigation decisions is developed based on the ISO/IEC 20000-1. Second, an application method for a generic simulation model is created to generate synthetic disruption production ramp-up data for a given value network configuration and corresponding disruptions. Third and parallel, a method for assessing a manufacturing company's resilience in the value network during the production ramp-up is developed. In the final step, the synthetic data is used to train a data-driven model. This model selects appropriate mitigation decisions for disruptions based on data and can evaluate the impact of disruptions and mitigation decisions on key performance indicators specific to production ramp-up. The possible increase in company-specific resilience is assessed using the developed assessment method.