@article{58413,
abstract = {{Start-ups have become a pillar of EC' open innovation initiatives. With the aim of accessing start-up innovation, established companies (EC) use various corporate venturing modes. However, as established corporate venturing modes (e.g. corporate venture capital or accelerators) do not provide direct access to start-up innovation, the venture client model (VCLM) is receiving increasing attention in corporate practice. In the VCLM, ECs become paying customers of start-ups without taking equity - they become venture clients. In joint pilot projects, they apply start-up solutions to their products, processes or business models in order to solve relevant business problems and create strategic impact for increased competitiveness. The literature lists different EC using the VCLM such as BMW, Bosch, Continental, Daimler, Siemens, or ZF. This suggests that the VCLM is only used in EC with tens of thousands of employees, from Germany and in technology-intensive sectors such as automotive, mechanical engineering or telecommunications. On the other hand, GIMMY describes the suitability of the VCLM for any EC. However, in order to develop practical solutions to the challenges of the VCLM (e.g. slow purchasing, legal and IT processes or lack of acceptance of start-ups as collaboration partners), it is necessary to know the users (type of EC) of these solutions. Therefore, the aim of this paper is to characterize the EC using the VCLM with respect to industry, size and regionality.}},
author = {{Haarmann, Lennard and Jobelius, Johannes J. and Machon, Fabian and Rabe, Martin and Kühn, Arno and Dumitrescu, Roman}},
issn = {{2049-1069}},
journal = {{European Conference on Innovation and Entrepreneurship}},
number = {{1}},
pages = {{225--235}},
publisher = {{Academic Conferences International Ltd}},
title = {{{Venture Clienting in Corporate Practice: What type of Established Companies are Using the Venture Client Model?}}},
doi = {{10.34190/ecie.19.1.2634}},
volume = {{19}},
year = {{2024}},
}
@inproceedings{58411,
author = {{Disselkamp, Jan-Philipp and Seidenberg, Tobias and Lick, Jonas and Ptock, Lukas and Hovemann, Aschot and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
editor = {{Malmqvist, J. and Candi, M. and Saemundsson, R. J. and Isaksson, O.}},
location = {{Reykjavik, Iceland}},
pages = {{236--245}},
title = {{{Engineering Genetics - Towards the Double Helix Model for Integrative Product and Production Design}}},
year = {{2024}},
}
@inproceedings{58412,
author = {{Wilke, Daria and Bremer, Christian and Disselkamp, Jan-Philipp and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
publisher = {{The Design Society}},
title = {{{Model-Based Handling of Variability in Offer Management in Mechanical and Plant Engineering}}},
doi = {{10.35199/norddesign2024.35}},
year = {{2024}},
}
@article{58415,
author = {{Lick, Jonas and Weller, Julian and Brock, Jonathan and Pathak, Shantanu and Disselkamp, Jan-Philipp and Kühn, Arno and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
pages = {{736--742}},
publisher = {{Elsevier BV}},
title = {{{Guiding The Transformation To A Digital Factory Twin: Towards An Enterprise-Architecture-Management-based Approach With The Help Of A Capability Map}}},
doi = {{10.1016/j.procir.2024.10.157}},
volume = {{130}},
year = {{2024}},
}
@inproceedings{58417,
author = {{Tissen, Denis and Wiederkehr, Ingrid and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
publisher = {{The Design Society}},
title = {{{Spearhead Data-Driven Model-Based Systems Engineering: Interview Study on Definition, Preconditions, Challenges, Potentials, and Use Cases}}},
doi = {{10.35199/norddesign2024.58}},
year = {{2024}},
}
@inproceedings{58418,
author = {{Tissen, Denis and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
booktitle = {{Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany}},
publisher = {{The Design Society}},
title = {{{A Maturity Model for Data-Driven Model-Based Systems Engineering for Producing Companies}}},
doi = {{10.35199/dsm2024.13}},
year = {{2024}},
}
@inproceedings{58416,
author = {{Kulkarni, Pranav Jayant and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
publisher = {{The Design Society}},
title = {{{Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence}}},
doi = {{10.35199/norddesign2024.66}},
year = {{2024}},
}
@inproceedings{58414,
author = {{Haarmann, Lennard and Machon, Fabian and Rabe, Martin and Asmar, Laban and Kuhn, Arno and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
publisher = {{The Design Society}},
title = {{{The Venture Client Model and Its Challenges for Established Companies}}},
doi = {{10.35199/norddesign2024.46}},
year = {{2024}},
}
@article{54744,
author = {{Tissen, Denis and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
pages = {{413--418}},
publisher = {{Elsevier BV}},
title = {{{Data from start to finish: A System Life Cycle Data Map}}},
doi = {{10.1016/j.procir.2024.01.060}},
volume = {{122}},
year = {{2024}},
}
@inproceedings{58419,
author = {{Von Heissen, Oliver and Hanke, Fabian and Mpidi Bita, Isaac and Hovemann, Aschot and Dumitrescu, Roman}},
booktitle = {{Proceedings of NordDesign 2024}},
publisher = {{The Design Society}},
title = {{{Toward Intelligent Generation of System Architectures}}},
doi = {{10.35199/norddesign2024.54}},
year = {{2024}},
}
@article{58425,
abstract = {{Prescriptive analytics plays an important role in decision making in smart factories by utilizing the available data to gain actionable insights. The planning, integration and development of such use cases still poses manifold challenges. Use cases are still being implemented as standalone versions; the existing IT-infrastructure is not fit for integrative bidirectional decision communication, and implementations only reach low technical readiness levels. We propose a reference architecture for the integration of prescriptive analytics use cases in smart factories. The method for the empirically grounded development of reference architectures by Galster and Avgeriou serves as a blueprint. Through the development and validation of a specific IoT-Factory use case, we demonstrate the efficacy of the proposed reference architecture. We expand the given reference architecture for one use case to the integration of a smart factory and its application to multiple use cases. Moreover, we identify the interdependency among multiple use cases within dynamic environments. Our prescriptive reference architecture provides a structured way to improve operational efficiency and optimize resource allocation.}},
author = {{Weller, Julian and Migenda, Nico and Naik, Yash and Heuwinkel, Tim and Kühn, Arno and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}},
issn = {{2227-7390}},
journal = {{Mathematics}},
number = {{17}},
publisher = {{MDPI AG}},
title = {{{Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories}}},
doi = {{10.3390/math12172663}},
volume = {{12}},
year = {{2024}},
}
@article{58421,
author = {{von Enzberg, Sebastian and Weller, Julian and Brock, Jonathan and Merkelbach, Silke and Panzner, Melina and Lick, Jonas and Kühn, Arno and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
pages = {{1454--1461}},
publisher = {{Elsevier BV}},
title = {{{On the Current State of Industrial Data Science: Challenges, Best Practices, and Future Directions}}},
doi = {{10.1016/j.procir.2024.10.266}},
volume = {{130}},
year = {{2024}},
}
@article{58422,
author = {{Weller, Julian and Migenda, Nico and Enzberg, Sebastian von and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
pages = {{424--429}},
publisher = {{Elsevier BV}},
title = {{{Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories}}},
doi = {{10.1016/j.procir.2024.03.022}},
volume = {{128}},
year = {{2024}},
}
@article{58420,
author = {{Hartmann, Stefan and Brock, Jonathan and Kühn, Arno and Dumitrescu, Roman}},
issn = {{2212-8271}},
journal = {{Procedia CIRP}},
pages = {{100--105}},
publisher = {{Elsevier BV}},
title = {{{Applying Artificial Intelligence in the Smart Factory: Lessons Learned from real-world use cases}}},
doi = {{10.1016/j.procir.2024.10.062}},
volume = {{130}},
year = {{2024}},
}
@inproceedings{58423,
author = {{Weller, Julian and Migenda, Nico and Kühn, Arno and Dumitrescu, Roman}},
location = {{Hawaii, Honululu}},
publisher = {{LibreCat University}},
title = {{{Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories}}},
doi = {{10.15488/17721}},
year = {{2024}},
}
@inproceedings{58431,
author = {{Merkelbach , Silke and Diedrich , Alexander and Sztyber-Betley, Anna and Travé-Massuyès, Louise and Chanthery , Elodie and Niggemann , Oliver and Dumitrescu , Roman }},
booktitle = {{Open Access Series in Informatics (OASIcs)}},
location = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)}},
pages = {{31:1--31:15}},
title = {{{Using Multi-Modal LLMs to Create Models for Fault Diagnosis}}},
volume = {{125}},
year = {{2024}},
}
@inproceedings{58424,
author = {{Niederhaus, Marvin and Migenda, Nico and Weller, Julian and Schenck, Wolfram and Kohlhase, Martin}},
booktitle = {{2024 35th Conference of Open Innovations Association (FRUCT)}},
publisher = {{IEEE}},
title = {{{Technical Readiness of Prescriptive Analytics Platforms: A Survey}}},
doi = {{10.23919/fruct61870.2024.10516367}},
year = {{2024}},
}
@article{58435,
author = {{Wilke, Daria and Mansheim, Johanna and Dumitrescu, Roman}},
issn = {{0360-8581}},
journal = {{IEEE Engineering Management Review}},
pages = {{1--14}},
publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
title = {{{Challenges and Research Needs in the Offer Phase of Special Purpose Machinery and Plant Engineering – A Qualitative Study with Industry Experts}}},
doi = {{10.1109/emr.2024.3503994}},
year = {{2024}},
}
@inproceedings{58432,
author = {{Merkelbach, Silke and Heuwinkel, Tim and Dumitrescu, Roman}},
booktitle = {{2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)}},
publisher = {{IEEE}},
title = {{{PID-Gen: Towards an Algorithm for the Generation of Random P&IDs}}},
doi = {{10.1109/etfa61755.2024.10710643}},
year = {{2024}},
}
@inproceedings{58436,
author = {{Humpert, Lynn and Wilke, Daria and Tissen, Denis and Rummney, Johannes and Anacker, Harald and Dumitrescu, Roman}},
booktitle = {{2024 IEEE International Systems Conference (SysCon)}},
publisher = {{IEEE}},
title = {{{Investigation of validation methods for system design in the B2B sector}}},
doi = {{10.1109/syscon61195.2024.10553571}},
year = {{2024}},
}