Towards a Resilient Automotive Industry: AI-Driven Strategies for Predictive Maintenance and Supply Chain Optimization

Abstract: This paper discusses strategies for the automotive industry derived from maintenance and supply chain optimization technology. It emphasizes the potential of AI systems and includes a survey-based study on adopting these solutions by auto parts manufacturers globally. The strategies provided offer long-term solutions and show the importance to manufacturers worldwide. The study predicts that AI-driven solutions will soon become necessary in the industry, providing credibility to the suggested strategies. This work provides insights into adopting AI-driven systems in today's scenario.

Keywords: Supply Chains, Predictive Maintenance, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML)