Michel J. Anzanello

Universidade Federal do Rio Grande do Sul

Papers

Total Citations

H-Index

About

Michel J. Anzanello is a leading figure in industrial engineering and operations management, with a research focus on learning curve modeling, multivariate process monitoring, and the integration of these tools within Industry 4.0. His major contributions lie in advancing how organizations understand and optimize human and system performance over time. Notably, his scoping review on "Learning curve applications in Industry 4.0" (2022, 13 citations) systematically maps how learning curve theory—traditionally applied at the individual level—can be extended to group and organizational contexts in smart manufacturing environments. This work provides a critical framework for aligning workforce skill development with automated, data-driven production systems. Anzanello’s broader portfolio, including studies on variable selection for process control and multivariate statistical methods, has been instrumental in bridging traditional industrial engineering with modern data analytics. His research is widely cited by scholars seeking to improve quality, efficiency, and adaptability in complex industrial settings. Through his systematic reviews and methodological innovations, Anzanello continues to shape how practitioners and researchers leverage learning curves and process monitoring to drive continuous improvement in the era of digital transformation.