Preventive controlling of product development projects by aid of predictive analytics - identifying hot spots within the deviation probability map. - Guenther Schuh; Stefan Rudolf; Christian Dölle; Michael Riesener (IEEM, 2015)

Examining Collaboration in Interdisciplinary Product Development Focusing on Dependencies. - Guenther Schuh; Michael Riesener; Christian Mattern (HICSS, 2018)

Introducing a Holistic Profitability Model for Additive Manufacturing: An Analysis of Laser-powder Bed Fusion. - 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; et al. (IEEM, 2018)

Hybridization of Development Projects Through Process-related Combination of Agile and Plan-driven Approaches. - Michael Riesener; Christian Dölle; Johanna Ays; Julian L. Ays (IEEM, 2018)

Development of a Methodology to Design Product Portfolios in Accordance to Corporate Goals Using an Evolutionary Algorithm. - Michael Riesener; Christian Dölle; Lukas Schmitt; Merle-Hendrikje Jank (IEEM, 2018)

Framework for the Continuous Increase of Product Performance by Analyzing Product Usage Data. - Michael Riesener; Christian Dölle; Annika Becker; Günther Schuh (IEEM, 2019)

Calculation and Allocation of Complexity Costs Using Process Data Mining. - Michael Riesener; Christian Dölle; Alexander Menges; Günther Schuh (IEEM, 2019)

Methodology for the Assessment of Complexity in Corporate Value Networks. - Michael Riesener; Christian Dölle; Julian Kreß; Günther Schuh (IEEM, 2020)

Data Model for Managing Product Complexity. - Michael Riesener; Christian Dölle; Jan Koch; Günther Schuh (IEEM, 2020)

Understand and Control Complexity in Cyber-Physical Systems by Analyzing Complexity Drivers. - Michael Riesener; Christian Dölle; Alexander Keuper; Günther Schuh (ICPS, 2021)

Transfer of Industrial Product-service System Specific Risk Effects to Value Network Partners - Concept for an Integrated Risk Assessment and Distribution. - Michael Riesener; Maximilian Kuhn; Julian Kreß; Lukas Schild; Günther Schuh (IEEM, 2021)

Methodology for Organizing Product-service System Provision in Corporate Value Networks. - Michael Riesener; Maximilian Kuhn; Julian Kreß; Jakob Tönnis; Günther Schuh (IEEM, 2021)

Identification of Fields of Action for the Realization of a Sustainable Corporate Management. - Michael Riesener; Maximilian Kuhn; Sebastian Schloesser; Carsten Boßmann; Günther Schuh (IEEM, 2021)

Concept for Enhancing the Contribution of Product Development to Organizational Resilience of Manufacturing Companies. - Michael Riesener; Maximilian Kuhn; Jonas Tittel; Günther Schuh (IEEM, 2021)

Method for the Semantic Modelling of the Product Context Using Text Mining for the Derivation of Innovation Potentials. - Michael Riesener; Maximilian Kuhn; Hendrik Lauf; Günther Schuh (IEEM, 2022)

Methodology for Automated Master Data Management using Artificial Intelligence. - Michael Riesener; Maximilian Kuhn; Benjamin Lender; Günther Schuh (IEEM, 2022)

Concept for Databased Identification of Heuristics for Development Management using FAMD. - Michael Riesener; Maximilian Kuhn; Benjamin Lender; Günther Schuh (IEEM, 2022)

Concept for the Design of an Implementation Process for Continuous Innovation in Manufacturing Companies. - Michael Riesener; Maximilian Kuhn; Stefan Perau; Günther Schuh (IEEM, 2022)

Methodology to Determine the Cost of Delay in Projects to Improve Project Prioritization. - Michael Riesener; Maximilian Kuhn; Alexander Keuper; Hendrik Lauf; Nishant Solanki; Günther Schuh (IEEM, 2023)

Application of Topic Modeling for the Identification of Innovation Potentials in the Product Environment. - Michael Riesener; Maximilian Kuhn; Hendrik Lauf; Günther Schuh (IEEM, 2023)

Using a Mixed-method Approach to Identify Urban Mobility Needs for the Development of Micromobility Solutions. - Michael Riesener; Maximilian Kuhn; Matthias Sebastian Mertens; Sebastian Hagedorn; Felix Stracke; Günther Schuh (IEEM, 2023)

Data Based Analysis of Requirements in Product Development Represented in Graph Based Semantic Requirement Nets. - Michael Riesener; Viktor Konrad Slawik; Tobin Holtmann; Steffen Frölian; Maximilian Kuhn; Günther Schuh (IEEM, 2023)

Evaluation Concept for Order Release Based on Simulation and Reinforcement Learning Against Changes to the Production Configuration. - Tim Janke; Michael Riesener; Seth Schmitz; Judith Fulterer; Hendrik Eisbein (ANNSIM, 2024)

Extending Semantic RML Mappings with Additional Source Formats. - Johannes Theissen-Lipp; Niklas Schäfer; Max Kocher; Philipp Hochmann; Michael Riesener; Stefan Decker (ICEIS (1), 2024)

Modularization Concept for Agile Assembly in Special Machine Construction. - Michael Riesener; Esben Schukat; Florian Bröhl; M. G. J. Lauer (IEEM, 2024)