Data-Based Supply Chain Collaboration – Improving Product Quality in Global Production Networks by Sharing Information

In times of globalization and digitalization, silo mentality protectionism lead to competitive disadvantages for all partners a production network. High scrap rates low supplier margins in the high-precision products can be identified as resulting inefficiencies. Supply chain collaboration contribute significantly increase product quality by simultaneously reducing associated costs, globally. We introduce batch allocation data-driven method cross-company control differing component batches based on both, data internal data. The industrial application is demonstrated within global network manufacturing products.