About the person
Areas of interest
- Digitalization in logistics and Industry 4.0
- Supply chain management
- Automotive logistics
- Variant management
- Risk management
Publications
Anthology contribution
- Open publicationKlingebiel, K., & Fleißner, F. (2024). Absatz-und Allokationsplanung. In K. Furmans, M. Henke, H. Tempelmeier, M. ten Hompel, & T. Schmidt, Handbuch Logistik (4. Auflage). Berlin: Springer Vieweg.
- Open publicationKlingebiel, K., Wagenitz, A., Toth, M., Motta, M., & Weibels, D. (2020). Integrierte Simulation von Auftragsabwicklungs-und Supply Chain-Prozessen. In G. Mayer, C. Pöge, S. Spieckermann, & S. Wenzel, Ablaufsimulation in der Automobilindustrie (pp. 231–245). Berlin: Springer Vieweg.
- Open publicationFruhner, D., Pawlikowski, K., Klingebiel, K., & Toth, M. (2017). Efficient product representations for automotive logistics. In CAL-TEK SRL, 29th European Modeling and Simulation Symposium (EMSS 2017) : Barcelona, Spain, 18-20 September 2017 : held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017) (pp. 100–109). Red Hook, NY: Curran Associates, Inc.
- Open publicationPawlikowski, K., Fruhner, D., & Klingebiel, K. (2016). Benefits of an integrated hierarchical data structure for automotive demand and capacity management. In C. M. Westphall, ICCGI 2016 : the Eleventh International Multi-Conference on Computing in the Global Information Technology : November 13-17, 2016, Barcelona, Spain (pp. 20–25). Wilmington, DE: IARIA XPS Press.
- Open publicationFruhner, D., Pawlikowski, K., & Klingebiel, K. (2016). Complexity reduction via hierarchical product structures in the field of automotive demand and capacity management. In P. Reusch & C. Wolff, International research conference 2016 (p. ohne Seitenangabe-ohne Seitenangabe). Dortmund: Fachhochschule Dortmund.
- Open publicationKlingebiel, K., Hackstein, L., & Cirullies, J. (2014). Ressourceneffiziente Logistik. In R. Neugebauer, Handbuch ressourcenorientierte Produktion (pp. 719–748). München: Hanser.
- Open publicationParlings, M., & Klingebiel, K. (2014). Supply chain adaptation through phases of product innovation life cycles. In J. S. Srai & P. Christodoulou, Capturing value from global networks : implications for manufacturing, supply chains and industrial policy ; 18th Cambridge International Manufacturing Symposium 11-12 September, 2014, Cambridge ; conference proceedings (p. ohne Seitenangabe-ohne Seitenangabe). Cambridge: Institute for Manufacturing.
- Open publicationFilla, P., & Klingebiel, K. (2014). A risk management approach für the pre-series logistics in production ramp-up. In W. Kersten, T. Blecker, & C. M. Ringle, Next generation supply chains : trends and opportunities (pp. 407–422). Berlin: Epubli.
- Open publicationFilla, P., & Klingebiel, K. (2014). Risk profiles for the pre-series logistics in automotive ramp-up processes. In R. Schmitt, 2nd ICRM 2014, international conference on ramp-up management : Aachen, Germany, 12-13 June 2014 (pp. 44–49). Red Hook, NY: Curran.
- Open publicationCirullies, 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.
- Open publicationKlingebiel, K., & Wagenitz, A. (2013). An introduction to logistics as a service. In U. Clausen, M. Ten Hompel, & M. Klumpp, Efficiency and logistics (pp. 209–216). Berlin: Springer.
- Open publicationParlings, 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.
- Open publicationParlings, 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/
- Open publicationYi, H., & Klingebiel, K. (2013). Contribution to an automotive variant-driven product variety framework. In T. Schoenherr, Production and Operations Management Society (POMS Annual Conference) : 24, 2013, Denver/Colorado (p. ohne Seitenangabe-ohne Seitenangabe). Miami: Production and Operations Management Society.
- Open publicationKlingebiel, K., & Wagenitz, A. (2010). Prozesse und IT aufgabenorientiert gestalten. In U. Clausen, M. Ten Hompel, & M. Klumpp, Efficiency and logistics (pp. 111–122). Berlin: Springer.
Conference paper
- Open publicationKlingebiel, K., Schulz, B., & Reh, D. (2023). A Systematic Literature Review on the Developments in the Field of Flexible and Fully Automated Assembly Stations Within the Automotive Sector. In E. Alfnes, A. Romsdal, J. O. Strandhagen, G. von Cieminski, & D. Romero, Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (pp. 441–459). Cham: Springer Nature Switzerland. https://doi.org/https://doi.org/10.1007/978-3-031-43688-8_31
- Open publicationKlingebiel, K., & Fruhner, D. (2021). Digitization of the Car: Impact on Automotive Logistics. In W. Kersten, C. M. Ringle, & T. Blecker, Adapting to the Future (pp. 563–584). Berlin: Epubli.
- Open publicationTemur, L., Fruhner, D., & Klingebiel, K. (2019). Proactive Demand and Capacity Management for Automotive Logistics Using an Efficient Information Model. In M. Affenzeller, A. G. Bruzzone, F. Longo, & G. Pereira, The 31th European Modeling and Simulation Symposium (pp. 128–137). Genua: DIME Università di Genova.
Journal article
- Open publicationSardesai, S., & Klingebiel, K. (2023). Maintaining viability by rapid supply chain adaptation using a process capability index. Omega, 115. https://doi.org/https://doi.org/10.1016/j.omega.2022.102778
- Open publicationParlings, M., & Klingebiel, K. (2017). A framework for aligning the supply chain throughout a radical product innovation life cycle. International Journal of Manufacturing Technology and Management, 31 (2017)(1/2/3), 37–61.
- Open publicationPawlikowski, K., Fruhner, D., Klingebiel, K., Toth, M., & Wagenitz, A. (2017). A motivation and evaluation of hierarchical data structures for application in automotive demand and capacity management. International Journal on Advances in Software, 10 (2017)(1 & amp;2), 155–166.
- Open publicationKlingebiel, K., & Motta, M. (2017). Logistik benötigt sämtliche Informationen. Orange : das Forschungsmagazin der Fachhochschule Dortmund, 45–49.
- Open publicationParlings, M., Klingebiel, K., & Oschmann, P. (2016). An integrated innovation life cycle model for supply chain adaption. IFAC-PapersOnLine, 49 (2016)(2), 96–101.
- Open publicationSantos Ceryno, P., Scavarda, L. F., & Klingebiel, K. (2015). Supply chain risk. Journal of Risk Research : Official Journal of the Society for Risk Analysis Europe and the Society for Risk Analysis Japan, 18 (2015)(9), 1145–1164.
- Open publicationThome, A. M. T., Scavarda, L. F., & Klingebiel, K. (2014). A multi-tier study on supply chain flexibility in the automotive industry. International Journal of Production Economics, 158 (2014), 91–105.
- Open publicationSantos Ceryno, P., Scavarda, L. F., & Klingebiel, K. (2013). Supply chain risk management. International Journal of Industrial Engineering and Management : IJIEM, 4 (2013)(3), 141–150.
- Open publicationKlingebiel, K., Leiras, A., & Másculo, F. (2013). Challenges for Managing Complexity in Industrial and Operations Management – A point of view from ICIEOM 2013. Brazilian Journal of Operations Management, 10(2), 7–10.
- Open publicationKlingebiel, K., Yüzgülec, G., & Wagenitz, A. (2011). Innovative Bauklötze. Logistik heute, (6), 54–57.
- Open publicationKlingebiel, K., Scavarda, L. F., Winkler, H., & Wagenitz, A. (2011). Logistikkompetenz in Brasilien Transfer erprobter logistischer Methoden in einen Entwicklungsmarkt. Industrie Management, 37(2), 33–37.
- Open publicationKlingebiel, K., Hellingrath, B., Pires, S. R. I., & Scavarda, L. F. (2011). Integrated Design and Evaluation of Logistics Network: Oriented Placement of the Order Penetration Point. Brazilian Journal of Operations Management, 8(2), 103–120.
- Open publicationKlingebiel, K., Toth, M., & Wagenitz, A. (2010). Dynamic Supply Chain Planning with Logistic Assistant Systems. THE AUSTRALIAN SOCIETY FOR OPERATION RESEARCH INCORPORATED, 29(2), 3–14.
Conference band
- Open publicationKlingebiel, K., Gavrylenko, Y., & Wagenitz, A. (Eds.). (2010). Adoption Of Simulation Techniques For Mastering Logistic Complexity Of Major Construction And Engineering Projects. Presented at the 24th European Conference on Modelling and Simulation, Simulation Meets Global Challenges, Nottingham: ECMS. https://doi.org/10.7148/2010-0160-0168
Teaching
Final theses
If you would like to contact me regarding a thesis, please prepare a short synopsis of your desired topic in advance (0.5 to 1 page) using the three bullet points "Motivation" (from theory or practice), "Problem definition" and "Solution approach".
General subject areas
- Logistics / Digital Logistics / Industry 4.0 / Internet of Things
- Supply chain management
- Risk management
- Process optimization and planning projects in logistics & SCM
- Use of simulation and optimization in logistics & SCM
- IT systems in logistics & SCM
Specific topics for Master's theses and Bachelor's theses
- Digital twins for production and logistics processes
- Application of AI in the analysis and optimization of production and/or logistics processes
- Application of process mining in the analysis and optimization of production and/or logistics processes
- Integration of sensor data and ERP data in digital twins: Challenges and solutions
- Use of digital twins in production and logistics for data-based process visualization and decision support
- Integration of digital twins in lean management approaches to optimize production and logistics processes
- Use of artificial intelligence to support lean management principles
- Recording and analyzing material flows with modern sensor technology
- Analysis of the acceptance of AI-based optimization approaches in small and medium-sized enterprises (SMEs)
- Optimization of data integration in logistics processes through the use of the OCEL format
- Digital representation of logistics processes: Requirements and benefit scenarios