Prof. Dr. Jan Cirullies

Cirullies, J. (2016). Methodische Erweiterung des Supply Chain Designs zur Integration einer ökologischen Bewertung. Dortmund: Verlag Praxiswissen.

Weissenberg, N., Cirullies, J., & Noll, F. (2019). Dynamic Time Slot Management with Digital Sovereignty. In International Data Spaces Association, Challenges and Potentials of a Logistics Data Space (pp. 40–44). Dortmund: Fraunhofer-Institut für Materialfluss und Logistik IML.

Cirullies, J., Schnakenburg, I., Pikus, Y., & Plumbaum, T. (2018). Planning [PI]. In Bitkom, Digitalisierung gestalten mit dem Periodensystem der Künstlichen Intelligenz (pp. 58–60). Berlin: Bitkom - Bundesverband Informationswirtschaft, Telekommunikation und neue Medien e. V.

Klingebiel, K., Hackstein, L., & Cirullies, J. (2014). Ressourceneffiziente Logistik. In R. Neugebauer, Handbuch ressourcenorientierte Produktion (pp. 719–748). München: Hanser.

Cirullies, J., Klingebiel, K., & Scavarda, L. F. (2013). Integration of environmental criteria into simulation-based postponement decisions. In E. Pinheiro de Lima, Challenges for sustainable operations : planning, implementing and managing reverse networks ; 22nd International Conference on Production Research, ICPR 22 ; July 28 - August 1, 2013 in Inguassu Falls, Brazil proceedings (pp. 336–342). Foz do Iguaçu: International Foundation for Production Research.

Parlings, M., Cirullies, J., & Klingebiel, K. (2013). A literature-based state of the art review on the identification and classification of supply chain design tasks. In E. Barrington-Light, J. Griffiths, & L. King, Disruptive supply network models in future industrial systems. Configuring for resilience and sustainability : 17th Cambridge International Manufacturing Symposium 19 and 20 September 2013, Cambridge; Symposium proceedings (pp. 407–422). Cambridge: Institute for Manufacturing, Department of Engineering.

Parlings, M., Klingebiel, K., & Cirullies, J. (2013). Determining phase transitions for aligning the supply chain strategy along early life cycle phases of product innovations. In B. Fynes & P. Coughlan, European Operations Management Association -EurOMA- : 20th EurOMA Conference 2013 - Operations Management at the Heart of the Recovery ; Dublin, Ireland, 7th-12th of June 2013 (p. ohne Seitenangabe-ohne Seitenangabe). Brüssel: EurOMA Secretariat. Retrieved from http://euroma2013.euroma-online.org/

Cirullies, J., & Schwede, C. (2021). On-demand Shared Digital Twins. In University of Hawaii at Manoa, Proceedings of the 54th Hawaii International Conference on System Sciences (pp. 1675–1684). Honolulu: Univ. of Hawaii at Manoa.

Haße, H., Li, B., Weißenberg, N., Cirullies, J., & Otto, B. (2019). Digital twin for real-time data processing in logistics. In W. Kersten, T. Blecker, & C. M. Ringle, Artificial Intelligence and Digital Transformation in Supply Chain Management. Innovative Approaches for Supply Chains (pp. 3–28). Berlin: Epubli.

Cirullies, J., & Pikus, Y. (2018). Fit für Digitalisierung. In VDI Wissensforum GmbH, 27. Deutscher Materialfluss-Kongress 2018 (pp. 215–222). Düsseldorf: VDI-Verlag. https://doi.org/10.51202/9783181023259-215

Otto, B., Cirullies, J., & Schwede, C. (2018). Innovation durch Kooperation in Supply Chains: Geschäftsökosysteme und die Rollen der Daten. In T. Wimmer & C. Grotemeier, Digitales trifft Reales (pp. 45–62). Hamburg: DVV Media Group Deutscher Verkehrs-Verlag.

Tietze, A.-C., Cirullies, J., Otto, B., & Holtz, A. (2020). From Crisis to Bottleneck Management: Integration of Social Media Analysis for Early Response in the Automotive Supply Chain Event Management. International Journal of Integrated Supply Management, 13(4), 418–444. https://doi.org/https://doi.org/10.1504/IJISM.2020.110741

Cirullies, J., Schwede, C., & Nagel, L. (2017). Industrial Data Space. Industrie 4.0 Management, (2), 25–28.

Cirullies, J., & Pikus, Y. (2017). Intuitive Mensch-Maschine-Schnittstellen. Logistik für Unternehmen, (9), 55–62.

Cirullies, J., & Schwede, C. (2017). Digitale Souveränität in der vernetzten Supply Chain mit dem Industrial Data Space. Business news, (4), 16–19.

Cirullies, J., De Luca, G., de Roode, M., Kramer, D., Mertens, C., Pettenpohl, H., … Turpeinen, M. (2021). New Business Models for Data Spaces Grounded in Data Sovereignty. Berlin: International Data Spaces Association. Retrieved from https://internationaldataspaces.org/wp-content/uploads/IDSA-Position-Paper-New-Business-Models-sneak-preview-version.pdf

Otto, B., Lis, D., Jürjens, J., Cirullies, J., Opriel, S., Howar, F., … Möller, F. (2019). Data Ecosystems (ISST Report). Dortmund: Fraunhofer Institute for software and systems engineering (ISST).

Holtkamp, B., Cirullies, J., Dahlmanns, T., & Steinbuß, S. (2018). A Lightweight Industrial Data Space Sensor Connector (ISST Report). Dortmund: Fraunhofer-Institut für Software- und Systemtechnik - ISST. https://doi.org/https://doi.org/10.24406/publica-fhg-299403

Otto, B., Lohmann, S., Auer, S., Brost, G., Cirullies, J., Eitel, A., … Wenzel, S. (2017). Reference Architecture Model for the Industrial Data Space. München: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. https://doi.org/10.24406/publica-fhg-298818