Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review

J.-P. Herrmann, S. Tackenberg, V. Nitsch, IEEE Access 11 (2023) 141172–141191.

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Zeitschriftenaufsatz (wiss.) | Veröffentlicht | Englisch
Abstract
Predicting human decisions is a central challenge for planning and controlling production with weakly structured processes. Thus, workers’ decisions regarding the processing strategies and the temporal sequence of tasks to be processed are to be determined prospectively. Accordingly, there is a need to review methods for preference elicitation to develop individual predictive decision models. This paper presents a systematic literature review and discussion of 42 publications on predictive decision models and decision attributes. Methods for eliciting decision-making knowledge from manufacturing workers as part of the modeling process and decision model validation methods are reviewed and discussed in light of their predictive validity for individual task selection. The article synthesizes the recent literature for predicting human decision-making in manufacturing using artificial intelligence methods. Along with the review results, a future research agenda is proposed for modeling and simulating human decision-making in manufacturing. Knowledge about human preferences and the successful prediction of workers’ decision-making in manufacturing helps companies predict manufacturing objectives and derive organizational and work design measures.
Erscheinungsjahr
Zeitschriftentitel
IEEE Access
Band
11
Seite
141172-141191
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Herrmann JP, Tackenberg S, Nitsch V. Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. IEEE Access. 2023;11:141172-141191. doi:10.1109/access.2023.3340626
Herrmann, J.-P., Tackenberg, S., & Nitsch, V. (2023). Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. IEEE Access, 11, 141172–141191. https://doi.org/10.1109/access.2023.3340626
Herrmann J-P, Tackenberg S and Nitsch V (2023) Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. IEEE Access 11, 141172–141191.
Herrmann, Jan-Phillip, Sven Tackenberg, and Verena Nitsch. “Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review.” IEEE Access 11 (2023): 141172–91. https://doi.org/10.1109/access.2023.3340626.
Herrmann, Jan-Phillip, Sven Tackenberg und Verena Nitsch. 2023. Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. IEEE Access 11: 141172–141191. doi:10.1109/access.2023.3340626, .
Herrmann, Jan-Phillip ; Tackenberg, Sven ; Nitsch, Verena: Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. In: IEEE Access Bd. 11. New York, NY, IEEE (2023), S. 141172–141191
J.-P. Herrmann, S. Tackenberg, V. Nitsch, Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review, IEEE Access. 11 (2023) 141172–141191.
J.-P. Herrmann, S. Tackenberg, and V. Nitsch, “Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review,” IEEE Access, vol. 11, pp. 141172–141191, 2023, doi: 10.1109/access.2023.3340626.
Herrmann, Jan-Phillip, et al. “Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review.” IEEE Access, vol. 11, 2023, pp. 141172–91, https://doi.org/10.1109/access.2023.3340626.
Herrmann, Jan-Phillip/Tackenberg, Sven/Nitsch, Verena: Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review, in: IEEE Access 11 (2023),  S. 141172–141191.
Herrmann JP, Tackenberg S, Nitsch V. Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review. IEEE Access. 2023;11:141172–91.

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