Ilias Spais
Papers
1
Total Citations
4
H-Index
1
About
Ilias Spais is a researcher at the forefront of digital transformation in manufacturing, specializing in big data analytics, Industry 4.0, and smart production systems. His major contribution lies in bridging the gap between theoretical data frameworks and real-world industrial application. His highly cited work, "Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case," provides a practical blueprint for managing the complexities of manufacturing data—from collecting unstructured, noisy production line data to transforming it into structured, actionable insights. This case study, with 4 citations, is a seminal guide for engineers and researchers tackling the challenges of data-driven process optimization in automotive and heavy industry. Spais’s research is notable for its direct impact on operational efficiency, offering clear methodologies for integrating digital tools and robots into cohesive analytics ecosystems. His work continues to influence how manufacturers leverage big data to enhance productivity and reduce waste, making him a key voice in the evolution of smart factories.
Research Focus
Key Achievements
Top Papers
- 1