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Understanding the Influence of Cognitive Biases in Production Planning and Control

: Bendul, Julia C.; Zahner, Melanie


Ahram, Tareq (Ed.):
Human systems engineering and design II : Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019); Future Trends and Applications, September 16-18, 2019, Universität der Bundeswehr München, Munich, Germany
Cham: Springer Nature, 2020 (Advances in Intelligent Systems and Computing 1026)
ISBN: 978-3-030-27927-1 (Print)
ISBN: 978-3-030-27928-8 (Online)
International Conference on Human Systems Engineering and Design (IHSED) <2, 2019, München>
Fraunhofer IFF ()
cognitive bias; human behavior; Production Planning and Control (PPC); PPS

Production Planning and Control (PPC) requires human decision making in several process steps like production programme planning, production data management and performance measurement. Thereby, human decisions are often biased leading to an aggravation of logistic performance. Exemplary, the lead time syndrome (LTS) shows this connection. While production planners aim to improve due date reliability by updating planned lead times the result is even a decreasing due date reliability. In current research in the field of production logistics the impact of cognitive biases on the decision-making process in PPC remains at a silent place. We aim to close the research gap by combining a systematic literature review on behavioral operations management as well as cognitive biases and applying the Aachen PPC model. Based on a case study from the steel industry we show the influence of cognitive biases on human decision making in several phases of PPC.