Katerina Lepenioti

Papers

Total Citations

298

H-Index

About

Katerina Lepenioti is a leading researcher at the intersection of data-driven decision-making and Industry 4.0, with a primary focus on transforming manufacturing and maintenance operations through advanced analytics. Her seminal work, "A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications" (2021), has garnered 298 citations, establishing her as a key voice in the field. In this comprehensive review, she systematically analyzes how the sensor-rich infrastructure of Industry 4.0 enables algorithms to not only predict emerging situations but also recommend actionable mitigation strategies, bridging the gap between raw data and operational intelligence. Lepenioti’s contributions extend beyond taxonomy; she critically evaluates the maturity of existing methods and identifies pathways for integrating predictive analytics with prescriptive decision support. Her research empowers industries to move from reactive maintenance to proactive, data-informed strategies, significantly reducing downtime and costs. Recognized for her ability to synthesize complex technical landscapes, Lepenioti continues to shape how organizations leverage digital twins and real-time data for smarter, more resilient manufacturing ecosystems.