| Material and capacity requirements planning with dynamic lead times H Jodlbauer, S Reitner International Journal of Production Research 50 (16), 4477-4492, 2012 | 55 | 2012 |
| Capacity-driven production planning H Jodlbauer, S Strasser Computers in Industry 113, 103126, 2019 | 39 | 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 | 12 | 2016 |
| An Approach for Adaptive Parameter Setting in Manufacturing Processes. S Strasser, S Tripathi, R Kerschbaumer DATA, 24-32, 2018 | 9 | 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 |
| 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 | 5 | 2019 |
| 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 |
| Reducing variant diversity by clustering S Strasser, A Peirleitner Proceedings of the 6th International Conference on Data Science, Technology …, 2017 | 4 | 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 | 2 | 2019 |
| A Network based Approach for Reducing Variant Diversity in Production Planning and Control. S Tripathi, S Strasser, H Jodlbauer DATA, 241-251, 2021 | 1 | 2021 |
| Implicit Determination of Standard Times H Jodlbauer, K Palmetshofer, S Reitner Wirtschaftsinformatik 47, 101-108, 2005 | 1 | 2005 |
| Enhancing operational efficiency in energy-intensive industries through AI: a case study of electricity demand forecasting in foundries S Strasser, C Wimmer, S Tripathi, H Jodlbauer IET Conference Proceedings CP885 2024 (11), 10-16, 2024 | | 2024 |
| Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production S Tripathi, W Seiringer, S Strasser, H Jodlbauer IFIP International Conference on Advances in Production Management Systems …, 2024 | | 2024 |
Herbert JodlbauerUniversity of Applied Sciences Upper Austria, FH-OÖ, Produktion und Management, SteyrBestätigte E-Mail-Adresse bei fh-steyr.at
