Material and capacity requirements planning with dynamic lead times H Jodlbauer, S Reitner International Journal of Production Research 50 (16), 4477-4492, 2012 | 52 | 2012 |
Capacity-driven production planning H Jodlbauer, S Strasser Computers in Industry 113, 103126, 2019 | 34 | 2019 |
Optimizing service-level and relevant cost for a stochastic multi-item cyclic production system H Jodlbauer, S Reitner International Journal of Production Economics 136 (2), 306-317, 2012 | 28 | 2012 |
Geschaftsmodellinnovationen basierend auf Industrie 4.0 sichern den zukunftigen Erfolg der Unternehmen H Jodlbauer, S Strasser Sammelbuch “Unternehmenssteuerung im Zeitalter von Industrie 4, 109-122, 2016 | 13 | 2016 |
An Approach for Adaptive Parameter Setting in Manufacturing Processes. S Strasser, S Tripathi, R Kerschbaumer DATA, 24-32, 2018 | 8 | 2018 |
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. S Tripathi, S Strasser, C Mittermayr, M Dehmer, H Jodlbauer DATA, 233-242, 2019 | 7 | 2019 |
Wirtschaftmathematik: Fallstudie zur Beherrschung unternehmerischer Komplexität J Althaler, H Jodlbauer, S Reitner Ennsthaler, 2004 | 6 | 2004 |
Optimaler Einsatz von Mensch-Maschine-Kollaboration H Jodlbauer, S Straßer, J Wolfartsberger Zeitschrift für wirtschaftlichen Fabrikbetrieb 113 (1-2), 52-54, 2018 | 5 | 2018 |
Reformulation and solution approaches for an integrated scheduling model H Jodlbauer, S Reitner, A Weidenhiller International Conference on Computational Science and Its Applications, 88-97, 2006 | 5 | 2006 |
Implizite Determinierung von Plan-Belegungszeiten. H Jodlbauer, K Palmetshofer, S Reitner Wirtschaftsinf. 47 (2), 101-108, 2005 | 5 | 2005 |
A hybrid binomial inverse hypergeometric probability distribution: Theory and applications H Jodlbauer, M Dehmer, S Strasser Applied Mathematics and Computation 338, 44-54, 2018 | 4 | 2018 |
Sensitivity Analysis of Simulation Study Results on Safety Stock Relaxation in Material Requirement Planning S Strasser, K Altendorfen, A Peirleitner SIMUL 2018. The Tenth International Conference on Advances in System …, 2018 | 4 | 2018 |
Linear vs. symbolic regression for adaptive parameter setting in manufacturing processes S Strasser, J Zenisek, S Tripathi, L Schimpelsberger, H Jodlbauer Data Management Technologies and Applications: 7th International Conference …, 2019 | 3 | 2019 |
Reducing variant diversity by clustering S Strasser, A Peirleitner Proceedings of the 6th International Conference on Data Science, Technology …, 2017 | 3 | 2017 |
Adaptive Parametereinstellung für Fertigungsprozesse S Straßer, H Jodlbauer, L Schimpelsberger Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (3), 150-153, 2019 | 2 | 2019 |
Material Requirements Planning Performance Improvement Due to Safety Stock Relaxation K Altendorfer, S Strasser, A Peirleitner International Journal on Advances in Systems and Measurements 12 (1&2), 89-100, 2019 | 1 | 2019 |
Implicit Determination of Standard Times H Jodlbauer, K Palmetshofer, S Reitner Wirtschaftsinformatik 47, 101-108, 2005 | 1 | 2005 |
Forecasting Steel Demand: Comparative Analysis of Predictability across diverse Countries and Regions S Strasser, S Tripathi Procedia Computer Science 232, 2740-2750, 2024 | | 2024 |
Acoustic Material Monitoring in Harsh Steelplant Environments A Husaković, A Mayrhofer, A Abbas, S Strasser Applied Sciences 13 (3), 1843, 2023 | | 2023 |
An Explainable Artificial Intelligence Approach to Seasonal Changes of Electrical Arc Furnace Production Data A Husakovic, D Nguyen, S Strasser, C Koubek, R Krump, T Griessacher 12th International European Electric Steelmaking Conference (EEC2021), 308-315, 2021 | | 2021 |