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@PHDTHESIS{Keler:979943,
author = {Keßler, Melanie},
othercontributors = {Arlinghaus, Julia and Letmathe, Peter},
title = {{T}he human factor in operations management - understanding
the influence of cognitive biases in production and risk
management},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2024-01971},
pages = {1 Online-Ressource : Illustrationen},
year = {2023},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2024; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2023},
abstract = {10 years after the introduction of the term Industry 4.0,
it is becoming apparent in practice that many potentials
remain unharnessed. Many companies still associate the
concept of the autonomous, self-controlling factory with the
hope of productivity increases and efficiency gains.
Particularly in the area of production planning and control
(PPC) – one of the main areas in operations management –
industrial practice is hoping for increased transparency and
reductions in complexity and costs through the use of
digital technologies. However, these new digital
technologies lead to new risks, for instance in the area of
cyber security, and also change existing risk profiles. This
situation requires an appropriate risk management which
addresses these new risks. Despite this increasing
automation, the human factor remains a key resource in the
smart factory and represents as a central decision maker a
crucial role in the success of digital transformation
projects and risk management. Although research in
behavioural economics has increased significantly in recent
years, the majority of decision-making models in PPC and
risk management are based on the assumption of rationally
human behaviour. However, the application of these models in
industrial practice shows that this often leads to problems
due to the fact that people do not decide rationally and
tend to be influenced in their decision-making by so called
“cognitive biases”. In risk management, risks are
therefore often assessed incorrectly or even ignored. In the
area of PPC, process deviations frequently occur with the
consequence of a deterioration in logistical performance.
The aim of this dissertation is therefore to analyse how
human behaviour influences decisions in operations
management and subsequently the logistic performance.
Furthermore, recommendations will be developed for how to
consider the influencing factors in human decision making in
order to improve results. Based on a structured literature
review, the findings from the research fields of psychology
and operations management were combined. Using a broad
database of Industry 4.0 implementation projects, it was
possible to observe the influence of cognitive biases in the
area of human decision-making. Initial hypotheses were
developed and the influence of cognitive distortions on
decisions in the risk management and PPC environment was
demonstrated with the help of behavioural experiments.},
cin = {812110},
ddc = {330},
cid = {$I:(DE-82)812110_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2024-01971},
url = {https://publications.rwth-aachen.de/record/979943},
}
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