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Michael Riesener

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Conference and Workshop Papers

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2024
[c24]
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Tim Janke, Michael Riesener, Seth Schmitz, Judith Fulterer, Hendrik Eisbein:
Evaluation Concept for Order Release Based on Simulation and Reinforcement Learning Against Changes to the Production Configuration. ANNSIM 2024: 1-13
[c23]
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Johannes Theissen-Lipp, Niklas Schäfer, Max Kocher, Philipp Hochmann, Michael Riesener, Stefan Decker:
Extending Semantic RML Mappings with Additional Source Formats. ICEIS (1) 2024: 201-208
2023
[c22]
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  - conf/ieem/RiesenerKKLSS23
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Michael Riesener, Maximilian Kuhn, Alexander Keuper, Hendrik Lauf, Nishant Solanki, Günther Schuh:
Methodology to Determine the Cost of Delay in Projects to Improve Project Prioritization. IEEM 2023: 1-5
[c21]
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Michael Riesener, Maximilian Kuhn, Hendrik Lauf, Günther Schuh:
Application of Topic Modeling for the Identification of Innovation Potentials in the Product Environment. IEEM 2023: 793-797
[c20]
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Michael Riesener, Viktor Konrad Slawik, Tobin Holtmann, Steffen Frölian, Maximilian Kuhn, Günther Schuh:
Data Based Analysis of Requirements in Product Development Represented in Graph Based Semantic Requirement Nets. IEEM 2023: 891-895
[c19]
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  - conf/ieem/RiesenerKMHSS23
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Michael Riesener, Maximilian Kuhn, Matthias Sebastian Mertens, Sebastian Hagedorn, Felix Stracke, Günther Schuh:
Using a Mixed-method Approach to Identify Urban Mobility Needs for the Development of Micromobility Solutions. IEEM 2023: 1088-1092
2022
[c18]
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  - conf/ieem/RiesenerKLS22
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Michael Riesener, Maximilian Kuhn, Hendrik Lauf, Günther Schuh:
Method for the Semantic Modelling of the Product Context Using Text Mining for the Derivation of Innovation Potentials. IEEM 2022: 1242-1246
[c17]
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Michael Riesener, Maximilian Kuhn, Benjamin Lender, Günther Schuh:
Methodology for Automated Master Data Management using Artificial Intelligence. IEEM 2022: 1276-1280
[c16]
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Michael Riesener, Maximilian Kuhn, Benjamin Lender, Günther Schuh:
Concept for Databased Identification of Heuristics for Development Management using FAMD. IEEM 2022: 1281-1285
[c15]
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  - conf/ieem/RiesenerKPS22
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Michael Riesener, Maximilian Kuhn, Stefan Perau, Günther Schuh:
Concept for the Design of an Implementation Process for Continuous Innovation in Manufacturing Companies. IEEM 2022: 1291-1295
2021
[c14]
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  - conf/icphys/RiesenerDKS21
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Michael Riesener, Christian Dölle, Alexander Keuper, Günther Schuh:
Understand and Control Complexity in Cyber-Physical Systems by Analyzing Complexity Drivers. ICPS 2021: 255-260
[c13]
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  - conf/ieem/RiesenerKSBS21
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Michael Riesener, Maximilian Kuhn, Sebastian Schloesser, Carsten Boßmann, Günther Schuh:
Identification of Fields of Action for the Realization of a Sustainable Corporate Management. IEEM 2021: 498-502
[c12]
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Michael Riesener, Maximilian Kuhn, Julian Kreß, Jakob Tönnis, Günther Schuh:
Methodology for Organizing Product-service System Provision in Corporate Value Networks. IEEM 2021: 542-546
[c11]
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Michael Riesener, Maximilian Kuhn, Julian Kreß, Lukas Schild, Günther Schuh:
Transfer of Industrial Product-service System Specific Risk Effects to Value Network Partners - Concept for an Integrated Risk Assessment and Distribution. IEEM 2021: 547-551
[c10]
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Michael Riesener, Maximilian Kuhn, Jonas Tittel, Günther Schuh:
Concept for Enhancing the Contribution of Product Development to Organizational Resilience of Manufacturing Companies. IEEM 2021: 1303-1307
2020
[c9]
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  - conf/ieem/RiesenerDKS20
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Michael Riesener, Christian Dölle, Julian Kreß, Günther Schuh:
Methodology for the Assessment of Complexity in Corporate Value Networks. IEEM 2020: 445-449
[c8]
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  - conf/ieem/RiesenerDKS20a
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Michael Riesener, Christian Dölle, Jan Koch, Günther Schuh:
Data Model for Managing Product Complexity. IEEM 2020: 996-1000
2019
[c7]
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  - conf/ieem/RiesenerDMS19
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Michael Riesener, Christian Dölle, Alexander Menges, Günther Schuh:
Calculation and Allocation of Complexity Costs Using Process Data Mining. IEEM 2019: 997-1001
[c6]
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Michael Riesener, Christian Dölle, Annika Becker, Günther Schuh:
Framework for the Continuous Increase of Product Performance by Analyzing Product Usage Data. IEEM 2019: 1084-1088
2018
[c5]
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  - conf/hicss/SchuhRM18
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Guenther Schuh, Michael Riesener, Christian Mattern:
Examining Collaboration in Interdisciplinary Product Development Focusing on Dependencies. HICSS 2018: 1-9
[c4]
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Michael Riesener, Christian Dölle, Johanna Ays, Julian L. Ays:
Hybridization of Development Projects Through Process-related Combination of Agile and Plan-driven Approaches. IEEM 2018: 602-606
[c3]
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  - conf/ieem/RiesenerDSJ18
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Michael Riesener, Christian Dölle, Lukas Schmitt, Merle-Hendrikje Jank:
Development of a Methodology to Design Product Portfolios in Accordance to Corporate Goals Using an Evolutionary Algorithm. IEEM 2018: 1466-1470
[c2]
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  - conf/ieem/PillerPSSBDHJJM18
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Frank Thomas Piller, Reinhart Poprawe, Henrich Schleifenbaum, Günther Schuh, Sebastian Barg, Christian Dölle, Christian Hinke, Merle-Hendrikje Jank, Ruth Jiang, Wilhelm Meiners, Michael Riesener, Johannes Schrage, Stephan Ziegler:
Introducing a Holistic Profitability Model for Additive Manufacturing: An Analysis of Laser-powder Bed Fusion. IEEM 2018: 1730-1735
2015
[c1]
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  - conf/ieem/SchuhRDR15
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Guenther Schuh, Stefan Rudolf, Christian Dölle, Michael Riesener:
Preventive controlling of product development projects by aid of predictive analytics - identifying hot spots within the deviation probability map. IEEM 2015: 651-655

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