A Smart Digital Transformation for Enhancing Operational Efficiency in Manufacturing

Digital Transformation (DT) has become a strategic priority for manufacturing firms seeking to enhance competitiveness, operational efficiency, and sustainability. This paper investigates the implementation of digital transformation in a steel manufacturing plant, exploring the integration of artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and big data analytics. The study uses a structured approach that includes assessment, diagnosis, model development, and implementation phases. Findings reveal that DT enhances productivity, reduces costs, and improves equipment efficiency, though challenges such as cost, skill gaps, and cybersecurity persist. The results contribute to the understanding of how digital transformation strategies can be operationalized in traditional manufacturing contexts.