---
_id: '11330'
abstract:
- lang: eng
  text: With the increasing complexity in manual assembly and a demographic decline
    in skilled workforce, the importance of well-documented processes through assembly
    instructions has grown. Creating these instructions is a time-consuming and knowledge-intensive
    task that typically relies on experienced employees. Although various automation
    solutions have been proposed to assist in generating assembly instructions, they
    often fall short in providing detailed textual guidance. With the rise of generative
    artificial intelligence (AI), new potentials arise in this domain. Therefore,
    this paper explores these potentials by employing various large language models
    (LLMs), prompting techniques and input data in an experimental setup for generating
    detailed assembly instructions, including the planning of assembly sequences as
    well as textual guidance on tools, assembly activities, and quality assurance
    measures. The findings reveal promising opportunities in leveraging LLMs but also
    substantial challenges, particularly in assembly sequence planning. To improve
    the reliability of generating assembly instructions, we propose a multi-agent
    concept that decomposes the complex task into simpler subtasks, each managed by
    specialized agents.
author:
- first_name: Frederic
  full_name: Meyer, Frederic
  id: '70963'
  last_name: Meyer
- first_name: Lennart
  full_name: Freitag, Lennart
  id: '73431'
  last_name: Freitag
- first_name: Sven
  full_name: Hinrichsen, Sven
  id: '49010'
  last_name: Hinrichsen
- first_name: Oliver
  full_name: Niggemann, Oliver
  id: '10876'
  last_name: Niggemann
citation:
  ama: Meyer F, Freitag L, Hinrichsen S, Niggemann O. <i>Potentials of Large Language
    Models for Generating Assembly Instructions</i>. Vol 78. (IEEE, ed.). IEEE; 2024.
    doi:<a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>
  apa: Meyer, F., Freitag, L., Hinrichsen, S., &#38; Niggemann, O. (2024). Potentials
    of Large Language Models for Generating Assembly Instructions. In IEEE (Ed.),
    <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i> (Vol. 78). IEEE. <a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>
  bjps: '<b>Meyer F <i>et al.</i></b> (2024) <i>Potentials of Large Language Models
    for Generating Assembly Instructions</i>, IEEE (ed.). Piscataway, NJ: IEEE.'
  chicago: 'Meyer, Frederic, Lennart Freitag, Sven Hinrichsen, and Oliver Niggemann.
    <i>Potentials of Large Language Models for Generating Assembly Instructions</i>.
    Edited by IEEE. <i>2024 IEEE 29th International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>. Vol. 78. Piscataway, NJ: IEEE, 2024. <a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>.'
  chicago-de: 'Meyer, Frederic, Lennart Freitag, Sven Hinrichsen und Oliver Niggemann.
    2024. <i>Potentials of Large Language Models for Generating Assembly Instructions</i>.
    Hg. von IEEE. <i>2024 IEEE 29th International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>. Bd. 78. Piscataway, NJ: IEEE. doi:<a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Meyer, Frederic</span> ; <span
    style="font-variant:small-caps;">Freitag, Lennart</span> ; <span style="font-variant:small-caps;">Hinrichsen,
    Sven</span> ; <span style="font-variant:small-caps;">Niggemann, Oliver</span>
    ; <span style="font-variant:small-caps;">IEEE</span> (Hrsg.): <i>Potentials of
    Large Language Models for Generating Assembly Instructions</i>. Bd. 78. Piscataway,
    NJ : IEEE, 2024'
  havard: F. Meyer, L. Freitag, S. Hinrichsen, O. Niggemann, Potentials of Large Language
    Models for Generating Assembly Instructions, IEEE, Piscataway, NJ, 2024.
  ieee: 'F. Meyer, L. Freitag, S. Hinrichsen, and O. Niggemann, <i>Potentials of Large
    Language Models for Generating Assembly Instructions</i>, vol. 78. Piscataway,
    NJ: IEEE, 2024. doi: <a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>.'
  mla: Meyer, Frederic, et al. “Potentials of Large Language Models for Generating
    Assembly Instructions.” <i>2024 IEEE 29th International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>, edited by IEEE, vol. 78, IEEE,
    2024, <a href="https://doi.org/10.1109/ETFA61755.2024.10710806">https://doi.org/10.1109/ETFA61755.2024.10710806</a>.
  short: F. Meyer, L. Freitag, S. Hinrichsen, O. Niggemann, Potentials of Large Language
    Models for Generating Assembly Instructions, IEEE, Piscataway, NJ, 2024.
  ufg: '<b>Meyer, Frederic u. a.</b>: Potentials of Large Language Models for Generating
    Assembly Instructions, Bd. 78, hg. von IEEE, Piscataway, NJ 2024.'
  van: 'Meyer F, Freitag L, Hinrichsen S, Niggemann O. Potentials of Large Language
    Models for Generating Assembly Instructions. IEEE, editor. Vol. 78, 2024 IEEE
    29th International Conference on Emerging Technologies and Factory Automation
    (ETFA). Piscataway, NJ: IEEE; 2024.'
conference:
  end_date: 2024-09-13
  location: Padova, Italy
  name: 29th International Conference on Emerging Technologies and Factory Automation
    (ETFA)
  start_date: 2024-09-10
corporate_editor:
- IEEE
date_created: 2024-04-12T07:06:41Z
date_updated: 2024-10-22T07:28:35Z
department:
- _id: DEP7020
- _id: DEP1305
doi: https://doi.org/10.1109/ETFA61755.2024.10710806
intvolume: '        78'
keyword:
- assembly instruction
- GPT
- large language model
- LLM
- prompt
language:
- iso: eng
place: Piscataway, NJ
publication: 2024 IEEE 29th International Conference on Emerging Technologies and
  Factory Automation (ETFA)
publication_identifier:
  eisbn:
  - 979-8-3503-6122-3
  isbn:
  - 979-8-3503-6123-0
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Potentials of Large Language Models for Generating Assembly Instructions
type: conference_editor_article
user_id: '83781'
volume: 78
year: '2024'
...