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Herbert Jodlbauer
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2020 – today
- 2024
- [j18]Herbert Jodlbauer, Shailesh Tripathi, Nadine Bachmann, Manuel Brunner:
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market. Expert Syst. Appl. 254: 124331 (2024) - [j17]Herbert Jodlbauer, Shailesh Tripathi:
Due date quoting and rescheduling in a fixed production sequence. Int. J. Prod. Res. 62(4): 1206-1220 (2024) - [j16]Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ziad Rizk, Herbert Jodlbauer:
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges. J. Big Data 11(1): 65 (2024) - [c21]Daniel Niedermayr, Manuel Brunner, Shailesh Tripathi, Herbert Jodlbauer:
Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data. APMS (4) 2024: 192-205 - [c20]Shailesh Tripathi, Wolfgang Seiringer, Sonja Strasser, Herbert Jodlbauer:
Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production. APMS (5) 2024: 412-427 - 2023
- [j15]Herbert Jodlbauer, Shailesh Tripathi:
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems. Expert Syst. Appl. 225: 120154 (2023) - [c19]Manuel Brunner, Herbert Jodlbauer, Nadine Bachmann, Shailesh Tripathi:
Implementing Virtuality in Production - a Design Science Approach. ISM 2023: 988-997 - [c18]Shailesh Tripathi, Christian Mittermayr, Herbert Jodlbauer:
Exploring the time-lagged causality of process variables from injection molding machines. ISM 2023: 1153-1167 - 2022
- [j14]Bernhard Fröhler, Christoph Anthes, Fabian Pointecker, Judith Friedl, Daniel Schwajda, Andreas Riegler, Shailesh Tripathi, Clemens Holzmann, Manuel Brunner, Herbert Jodlbauer, Hans-Christian Jetter, Christoph Heinzl:
A Survey on Cross-Virtuality Analytics. Comput. Graph. Forum 41(1): 465-494 (2022) - [j13]Josef Wolfartsberger, René Riedl, Herbert Jodlbauer, Niklas Haslinger, Andrii Hlibchuk, Alexander Kirisits, Stefan Schuh:
Virtual Reality als Trainingsmethode: Eine Laborstudie aus dem Industriebereich. HMD Prax. Wirtsch. 59(1): 295-308 (2022) - [c17]Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer:
Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach. DATA 2022: 370-382 - [c16]Shailesh Tripathi, Andreas Riegler, Christoph Anthes, Herbert Jodlbauer:
Vsimgen: A Proposal for an Interactive Visualization Tool for Simulation of Production Planning and Control Strategies. FTC (1) 2022: 731-752 - 2021
- [j12]Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. Frontiers Artif. Intell. 4: 576892 (2021) - [c15]Shailesh Tripathi, Sonja Strasser, Herbert Jodlbauer:
A Network based Approach for Reducing Variant Diversity in Production Planning and Control. DATA 2021: 241-251 - [c14]Alexander Kieroth, Manuel Brunner, Nadine Bachmann, Herbert Jodlbauer, Wolfgang Kurz:
Investigation on the acceptance of an Industry 4.0 maturity model and improvement possibilities. ISM 2021: 428-437 - [c13]Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, Frank Emmert-Streib:
Identifying key interactions between process variables of different material categories using mutual information-based network inference method. ISM 2021: 1550-1564 - 2020
- [j11]Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Kurt Varmuza, Lihua Feng, Herbert Jodlbauer, Yongtang Shi, Jin Tao:
The Orbit-Polynomial: A Novel Measure of Symmetry in Networks. IEEE Access 8: 36100-36112 (2020) - [j10]Herbert Jodlbauer, Matthias Dehmer:
An extension of the reorder point method by using advance demand spike information. Comput. Oper. Res. 124: 105055 (2020) - [c12]Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer:
Large scale predictability analysis of process variables from injection molding machines. ISM 2020: 545-560 - [c11]David Muhr, Shailesh Tripathi, Herbert Jodlbauer:
An adaptive machine learning methodology to determine manufacturing process parameters for each part. ISM 2020: 764-771 - [c10]Andreas Riegler, Christoph Anthes, Hans-Christian Jetter, Christoph Heinzl, Clemens Holzmann, Herbert Jodlbauer, Manuel Brunner, Stefan Auer, Judith Friedl, Bernhard Fröhler, Christina Leitner, Fabian Pointecker, Daniel Schwajda, Shailesh Tripathi:
Cross-Virtuality Visualization, Interaction and Collaboration. XR@ISS 2020 - [i1]Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer:
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. CoRR abs/2007.14791 (2020)
2010 – 2019
- 2019
- [j9]Herbert Jodlbauer, Sonja Strasser:
Capacity-driven production planning. Comput. Ind. 113 (2019) - [j8]Guihai Yu, Matthias Dehmer, Frank Emmert-Streib, Herbert Jodlbauer:
Hermitian normalized Laplacian matrix for directed networks. Inf. Sci. 495: 175-184 (2019) - [j7]Matthias Dehmer, Zengqiang Chen, Abbe Mowshowitz, Herbert Jodlbauer, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi, Chengyi Xia:
On the degeneracy of the Randić entropy and related graph measures. Inf. Sci. 501: 680-687 (2019) - [c9]Shailesh Tripathi, Sonja Strasser, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer:
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. DATA 2019: 233-242 - 2018
- [j6]Herbert Jodlbauer, Matthias Dehmer, Sonja Strasser:
A hybrid binomial inverse hypergeometric probability distribution: Theory and applications. Appl. Math. Comput. 338: 44-54 (2018) - [c8]Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer:
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. DATA (Revised Selected Papers) 2018: 50-68 - 2017
- [c7]Jan Zenisek, Michael Affenzeller, Josef Wolfartsberger, Mathias Silmbroth, Christoph Sievi, Aziz Huskic, Herbert Jodlbauer:
Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles. EUROCAST (1) 2017: 481-488 - 2016
- [c6]Herbert Jodlbauer, Michael Schagerl:
Reifegradmodell Industrie 4.0 - Ein Vorgehensmodell zur Identifikation von Industrie 4.0 Potentialen. GI-Jahrestagung 2016: 1473-1487 - 2011
- [c5]Alexander Hübl, Klaus Altendorfer, Herbert Jodlbauer, Margaretha Gansterer, Richard F. Hartl:
Flexible model for analyzing production systems with discrete event simulation. WSC 2011: 1559-1570 - 2010
- [j5]Herbert Jodlbauer, Klaus Altendorfer:
Trade-off between capacity invested and inventory needed. Eur. J. Oper. Res. 203(1): 118-133 (2010)
2000 – 2009
- 2009
- [j4]Andreas Weidenhiller, Herbert Jodlbauer:
Equivalence classes of problem instances for a continuous-time lot sizing and scheduling problem. Eur. J. Oper. Res. 199(1): 139-149 (2009) - [c4]Alexander Hübl, Klaus Altendorfer, Herbert Jodlbauer, Josef Pilstl:
Customer Driven Capacity Setting. APMS 2009: 291-298 - 2007
- [c3]Andreas Weidenhiller, Herbert Jodlbauer:
Fast Generation of Production Schedules on a Single Machine. EUROCAST 2007: 861-869 - 2006
- [j3]Herbert Jodlbauer:
An approach for integrated scheduling and lot-sizing. Eur. J. Oper. Res. 172(2): 386-400 (2006) - [c2]Herbert Jodlbauer, Sonja Reitner, Andreas Weidenhiller:
Reformulation and Solution Approaches for an Integrated Scheduling Model. ICCSA (5) 2006: 88-97 - 2005
- [j2]Herbert Jodlbauer:
Definition and properties of the input-weighted average lead-time. Eur. J. Oper. Res. 164(2): 354-357 (2005) - [j1]Herbert Jodlbauer, Karl Palmetshofer, Sonja Reitner:
Implizite Determinierung von Plan-Belegungszeiten. Wirtschaftsinf. 47(2): 101-108 (2005) - 2002
- [c1]Joachim Althaler, Herbert Jodlbauer:
A New Optimal Demand Forecast Model. OR 2002: 71-76
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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