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Understanding the Influence of Cognitive Biases in Production Planning and Control

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1026))

Abstract

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.

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Correspondence to Melanie Zahner .

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Bendul, J.C., Zahner, M. (2020). Understanding the Influence of Cognitive Biases in Production Planning and Control. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_42

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