---
_id: '11445'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Jan-Phillip
  full_name: Herrmann, Jan-Phillip
  id: '75846'
  last_name: Herrmann
- first_name: Sven
  full_name: Tackenberg, Sven
  id: '71470'
  last_name: Tackenberg
- first_name: Verena
  full_name: Nitsch, Verena
  last_name: Nitsch
citation:
  ama: 'Herrmann JP, Tackenberg S, Nitsch V. Predicting Human Decision-Making for
    Task Selection in Manufacturing: A Systematic Literature Review. <i>IEEE Access</i>.
    2023;11:141172-141191. doi:<a href="https://doi.org/10.1109/access.2023.3340626">10.1109/access.2023.3340626</a>'
  apa: 'Herrmann, J.-P., Tackenberg, S., &#38; Nitsch, V. (2023). Predicting Human
    Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review.
    <i>IEEE Access</i>, <i>11</i>, 141172–141191. <a href="https://doi.org/10.1109/access.2023.3340626">https://doi.org/10.1109/access.2023.3340626</a>'
  bjps: '<b>Herrmann J-P, Tackenberg S and Nitsch V</b> (2023) Predicting Human Decision-Making
    for Task Selection in Manufacturing: A Systematic Literature Review. <i>IEEE Access</i>
    <b>11</b>, 141172–141191.'
  chicago: 'Herrmann, Jan-Phillip, Sven Tackenberg, and Verena Nitsch. “Predicting
    Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature
    Review.” <i>IEEE Access</i> 11 (2023): 141172–91. <a href="https://doi.org/10.1109/access.2023.3340626">https://doi.org/10.1109/access.2023.3340626</a>.'
  chicago-de: 'Herrmann, Jan-Phillip, Sven Tackenberg und Verena Nitsch. 2023. Predicting
    Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature
    Review. <i>IEEE Access</i> 11: 141172–141191. doi:<a href="https://doi.org/10.1109/access.2023.3340626">10.1109/access.2023.3340626</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Herrmann, Jan-Phillip</span>
    ; <span style="font-variant:small-caps;">Tackenberg, Sven</span> ; <span style="font-variant:small-caps;">Nitsch,
    Verena</span>: Predicting Human Decision-Making for Task Selection in Manufacturing:
    A Systematic Literature Review. In: <i>IEEE Access</i> Bd. 11. New York, NY, IEEE
    (2023), S. 141172–141191'
  havard: '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.'
  ieee: 'J.-P. Herrmann, S. Tackenberg, and V. Nitsch, “Predicting Human Decision-Making
    for Task Selection in Manufacturing: A Systematic Literature Review,” <i>IEEE
    Access</i>, vol. 11, pp. 141172–141191, 2023, doi: <a href="https://doi.org/10.1109/access.2023.3340626">10.1109/access.2023.3340626</a>.'
  mla: 'Herrmann, Jan-Phillip, et al. “Predicting Human Decision-Making for Task Selection
    in Manufacturing: A Systematic Literature Review.” <i>IEEE Access</i>, vol. 11,
    2023, pp. 141172–91, <a href="https://doi.org/10.1109/access.2023.3340626">https://doi.org/10.1109/access.2023.3340626</a>.'
  short: J.-P. Herrmann, S. Tackenberg, V. Nitsch, IEEE Access 11 (2023) 141172–141191.
  ufg: '<b>Herrmann, Jan-Phillip/Tackenberg, Sven/Nitsch, Verena</b>: Predicting Human
    Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review,
    in: <i>IEEE Access</i> 11 (2023),  S. 141172–141191.'
  van: '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.'
date_created: 2024-05-10T11:48:50Z
date_updated: 2025-06-26T07:53:23Z
department:
- _id: DEP7000
- _id: DEP7020
doi: 10.1109/access.2023.3340626
external_id:
  isi:
  - '001130254900001'
intvolume: '        11'
isi: '1'
keyword:
- Artificial intelligence
- assistance system
- human decision-making
- manufacturing
language:
- iso: eng
page: 141172-141191
place: New York, NY
publication: IEEE Access
publication_identifier:
  eissn:
  - 2169-3536
publication_status: published
publisher: IEEE
status: public
title: 'Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic
  Literature Review'
type: scientific_journal_article
user_id: '83781'
volume: 11
year: '2023'
...