On the transferability of nominal surrogate models to uncertainty consideration of clinch joint characteristics
C. Bode, S. Goetz, S. Wartzack, Procedia CIRP 129 (2024) 151–156.

Towards business use cases of process mining in product development and manufacturing: Deriving and classifying 18 application scenarios in industry
J. Brock, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia CIRP 128 (2024) 268–273.

Digital Factory Twin: A Practioner-Driven Approach for Integrated Planning of the Enterprise Architecture
J. Lick, J.-P. Disselkamp, F. Kattenstroth, M. Trienens, R. Rasor, A. Kühn, R. Dumitrescu, Procedia CIRP 128 (2024) 603–608.

Challenges in the implementation of simulation models for the digital factory twin - a systematic literature review
F. Kattenstroth, J.-P. Disselkamp, J. Lick, R. Dumitrescu, Procedia CIRP 128 (2024) 442–447.

Product and production design - Rethinking views on flexibility
J. Beibl, J.-P. Disselkamp, R. Dumitrescu, D. Krause, Procedia CIRP 128 (2024) 204–209.

Guiding The Transformation To A Digital Factory Twin: Towards An Enterprise-Architecture-Management-based Approach With The Help Of A Capability Map
J. Lick, J. Weller, J. Brock, S. Pathak, J.-P. Disselkamp, A. Kühn, R. Dumitrescu, Procedia CIRP 130 (2024) 736–742.

Data from start to finish: A System Life Cycle Data Map
D. Tissen, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Procedia CIRP 122 (2024) 413–418.

On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions
S. von Enzberg, J. Weller, J. Brock, S. Merkelbach, M. Panzner, J. Lick, A. Kühn, R. Dumitrescu, Procedia CIRP 130 (2024) 1454–1461.

Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories
J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, Procedia CIRP 128 (2024) 424–429.

Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases
S. Hartmann, J. Brock, A. Kühn, R. Dumitrescu, Procedia CIRP 130 (2024) 100–105.

Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios
M. Schlegel, M. Just, F. Pfaff, I. Wiederkehr, C. Koldewey, C. Kempf, R. Dumitrescu, A. Albers, Procedia CIRP 128 (2024) 555–560.

Data from start to finish: A System Life Cycle Data Map
D. Tissen, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Procedia CIRP 122 (2024) 413–418.

Model-based impact analysis in dynamic System of Systems
I. Gräßler, D. Wiechel, S. Rarbach, in: Procedia CIRP, Elsevier BV, 2024, pp. 585–5D.

A Method for Identifying Use Cases in Data-Driven Product Management
T. Fichtler, L.I. Petzke, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: Procedia CIRP, Elsevier BV, 2024, pp. 539–544.

Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics
J. Weller, D. Roesmann, S. Eggert, S. von Enzberg, I. Gräßler, R. Dumitrescu, Procedia CIRP 119 (2023) 514–520.

Design of individual simulation games in manufacturing companies for game-based learning
F. Machon, S. Gabriel, B. Latos, C. Holtkötter, B. Lütkehoff, L. Asmar, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 1017–1022.

Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects
J. Brock, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 602–607.

Targeted-oriented selection of engineering methods
D. Wilke, A. Schierbaum, H. Anacker, R. Dumitrescu, Procedia CIRP 119 (2023) 788–793.

Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering
L. Humpert, M. Wäschle, S. Horstmeyer, H. Anacker, R. Dumitrescu, A. Albers, Procedia CIRP 119 (2023) 693–698.

A systematic literature review on the Digital Twin of the factory in the context of the product and factory lifecycle
J. Cieply, J.-P. Disselkamp, F. Dyck, W. Alturk, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 834–840.