Abstract

This research addresses the need for a data-driven model to improve supply chain resilience within the North American automotive industry. The model tackles geopolitical instability, trade wars, climate change, resource scarcity, and sustainability pressures. This research project developed a data-driven model integrating a human-centric approach (HCA) with a standardized supplier certification and validation process (SSCV). The SSCV is a comprehensive supplier evaluation that ensures the industry's resilience in terms of agility and sustainability. The research aims to improve key performance indicators, including pricing, lead time, and on-time delivery, by implementing the SSCV model for suppliers. The model prioritizes agility and sustainability while optimizing supplier key performance. By implementing this data-driven model, significant outcomes have been observed, including strengthened supply chain resilience, improved operational efficiency, and the ability to adapt to a rapidly changing global environment. The model supports ensuring the long-term resilience of the supply chain within the North American automotive industry in a dynamic market. The results explore how this model can strengthen North American supply chains, mitigate risks, and ensure long-term resilience in a dynamic global market.