Reducing Variant Diversity by Clustering - Data Pre-processing for Discrete Event Simulation Models. - Sonja Strasser; Andreas Josef Peirleitner (DATA, 2017)

An Approach for Adaptive Parameter Setting in Manufacturing Processes. - Sonja Strasser; Shailesh Tripathi; Richard Kerschbaumer (DATA, 2018)

Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. - Sonja Strasser; Jan Zenisek; Shailesh Tripathi; Lukas Schimpelsberger; Herbert Jodlbauer (DATA (Revised Selected Papers), 2018)

A hybrid binomial inverse hypergeometric probability distribution: Theory and applications. - Herbert Jodlbauer; Matthias Dehmer; Sonja Strasser (Appl. Math. Comput., 2018)

Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. - Shailesh Tripathi; Sonja Strasser; Christian Mittermayr; Matthias Dehmer; Herbert Jodlbauer (DATA, 2019)

Capacity-driven production planning. - Herbert Jodlbauer; Sonja Strasser (Comput. Ind., 2019)

A Network based Approach for Reducing Variant Diversity in Production Planning and Control. - Shailesh Tripathi; Sonja Strasser; Herbert Jodlbauer (DATA, 2021)

Forecasting Steel Demand: Comparative Analysis of Predictability across diverse Countries and Regions. - Sonja Strasser; Shailesh Tripathi (ISM, 2023)

Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production. - Shailesh Tripathi; Wolfgang Seiringer; Sonja Strasser; Herbert Jodlbauer (APMS (5), 2024)

AI in Manufacturing: A comprehensive Keywords and Topics Analysis. - Sonja Strasser; Shailesh Tripathi; Manuel Brunner (ISM, 2024)