---
_id: '13292'
abstract:
- lang: eng
text: The application of Large Language Models (LLMs) for the automated generation
of assembly instructions shows significant potential for improving work preparation
in production processes. However, challenges remain regarding the overall information
quality and precision of the generated instructions. In light of these challenges,
this study explores how the information quality of automatically generated assembly
instructions can be enhanced through the targeted provision of structured input
data, such as Assembly and Quantity BOMs (Bills of Materials), as well as the
use of optimized prompt chaining techniques. The methodology employs ChatGPT-4o
in combination with Retrieval Augmented Generation (RAG) within the Microsoft
Azure environment. The results demonstrate that structured data inputs, particularly
the use of Assembly BOMs with defined Tool-to-Component relations, significantly
improve the precision and relevance of the generated instructions. Despite these
advancements, achieving consistent information quality remains a barrier to broader
practical implementation. Therefore, feedback loops should be integrated into
the assembly instruction generation process to ensure continuous refinement and
reliability. Future research should investigate the use of RAG or similar frameworks,
focusing on optimizing data structures and implementing feedback mechanisms to
enhance the automated generation of assembly instructions.
author:
- first_name: Robin
full_name: Herbort, Robin
id: '70575'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation. Vol 160. (Ahram T, Karwowski W, Martino
C, Di Bucchianico G, Maselli V, eds.). AHFE; 2025. doi:10.54941/ahfe1005883
apa: 'Herbort, R., Green, D., & Hinrichsen, S. (2025). Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W.
Karwowski, C. Martino, G. Di Bucchianico, & V. Maselli (Eds.), Intelligent
Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems
(Vol. 160). AHFE. https://doi.org/10.54941/ahfe1005883'
bjps: 'Herbort R, Green D and Hinrichsen S (2025) Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation, Ahram T et
al. (eds). New York, NY: AHFE.'
chicago: 'Herbort, Robin, Dominik Green, and Sven Hinrichsen. Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation. Edited by
Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and Vincenzo
Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating People
and Intelligent Systems. Vol. 160. AHFE International. New York, NY: AHFE,
2025. https://doi.org/10.54941/ahfe1005883.'
chicago-de: 'Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation.
Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico,
und Vincenzo Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating
People and Intelligent Systems. Bd. 160. AHFE International. New York, NY:
AHFE. doi:10.54941/ahfe1005883,
.'
din1505-2-1: 'Herbort, Robin ; Green, Dominik ; Hinrichsen,
Sven ; Ahram, T. ; Karwowski, W. ; Martino,
C. ; Di Bucchianico, G. ;
Maselli, V. (Hrsg.): Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation,
AHFE International. Bd. 160. New York, NY : AHFE, 2025'
havard: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.
ieee: 'R. Herbort, D. Green, and S. Hinrichsen, Automatic Creation of Assembly
Instructions by Using Retrieval Augmented Generation, vol. 160. New York,
NY: AHFE, 2025. doi: 10.54941/ahfe1005883.'
mla: 'Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using
Retrieval Augmented Generation.” Intelligent Human Systems Integration (IHSI
2025): Integrating People and Intelligent Systems, edited by Tareq Ahram et
al., vol. 160, AHFE, 2025, https://doi.org/10.54941/ahfe1005883.'
short: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.
ufg: 'Herbort, Robin/Green, Dominik/Hinrichsen, Sven: Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg.
von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).'
van: 'Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation. Ahram T, Karwowski W, Martino C, Di Bucchianico
G, Maselli V, editors. Intelligent Human Systems Integration (IHSI 2025): Integrating
People and Intelligent Systems. New York, NY: AHFE; 2025. (AHFE International;
vol. 160).'
conference:
end_date: 2025-02-26
location: Rome
name: Intelligent Human Systems Integration (IHSI)
start_date: 2025-02-24
date_created: 2025-11-10T15:56:46Z
date_updated: 2025-11-24T08:28:55Z
department:
- _id: DEP7020
- _id: DEP1305
doi: 10.54941/ahfe1005883
editor:
- first_name: Tareq
full_name: Ahram, Tareq
last_name: Ahram
- first_name: Waldemar
full_name: Karwowski, Waldemar
last_name: Karwowski
- first_name: Carlo
full_name: Martino, Carlo
last_name: Martino
- first_name: Giuseppe
full_name: Di Bucchianico, Giuseppe
last_name: Di Bucchianico
- first_name: Vincenzo
full_name: Maselli, Vincenzo
last_name: Maselli
intvolume: ' 160'
keyword:
- Retrieval Augmented Generation
- Large Language Model
- Assembly Instructions
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://doi.org/10.54941/ahfe1005883
oa: '1'
place: New York, NY
publication: 'Intelligent Human Systems Integration (IHSI 2025): Integrating People
and Intelligent Systems'
publication_identifier:
isbn:
- 978-1-964867-36-6
issn:
- 2771-0718
publication_status: published
publisher: AHFE
quality_controlled: '1'
series_title: AHFE International
status: public
title: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation
type: conference_editor_article
user_id: '83781'
volume: 160
year: '2025'
...
---
_id: '13293'
abstract:
- lang: eng
text: The performance of large language models (LLMs) has improved significantly
in recent years, with the result that they are now used in many companies in various
industries. However, the design of a company-specific information system involving
an LLM is associated with a large number of decisions. This leads to a high level
of complexity in the design task. Against this background, companies need a structured
approach that methodically supports the planning, development, implementation
and long-term maintenance of LLM-based information systems so that domain- and
company-specific requirements are taken into account as a result. This article
therefore describes a method that supports the design, introduction and maintenance
process of an LLM-based information system. The method consists of a process model
and a list of design principles, which are also referred to as success factors.
The process model developed is based on the proven six-stage REFA planning system.
To identify and describe success factors, a systematic literature search was carried
out. Based on an analysis of the contents of individual literature sources, success
factors for the design of LLM-based information systems were identified. These
success factors relate, for example, to the quality of the data provided, data
security, user-centered system design and feedback mechanisms for improving information
output.
author:
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
- first_name: Robin
full_name: Herbort, Robin
id: '70575'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Benjamin
full_name: Adrian, Benjamin
id: '42266'
last_name: Adrian
citation:
ama: Hinrichsen S, Herbort R, Green D, Adrian B. How to Design an Operation-Specific
LLM-Based Information System. Vol 197. (Ahram T, Motschnig R, eds.). AHFE;
2025. doi:10.54941/ahfe1006709
apa: Hinrichsen, S., Herbort, R., Green, D., & Adrian, B. (2025). How to Design
an Operation-Specific LLM-Based Information System. In T. Ahram & R. Motschnig
(Eds.), Human Interaction and Emerging Technologies (IHIET 2025) (Vol.
197). AHFE. https://doi.org/10.54941/ahfe1006709
bjps: 'Hinrichsen S et al. (2025) How to Design an Operation-Specific
LLM-Based Information System, Ahram T and Motschnig R (eds). New York, NY:
AHFE.'
chicago: 'Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. How
to Design an Operation-Specific LLM-Based Information System. Edited by Tareq
Ahram and Renate Motschnig. Human Interaction and Emerging Technologies (IHIET
2025). Vol. 197. AHFE International. New York, NY: AHFE, 2025. https://doi.org/10.54941/ahfe1006709.'
chicago-de: 'Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian.
2025. How to Design an Operation-Specific LLM-Based Information System.
Hg. von Tareq Ahram und Renate Motschnig. Human Interaction and Emerging Technologies
(IHIET 2025). Bd. 197. AHFE International. New York, NY: AHFE. doi:10.54941/ahfe1006709,
.'
din1505-2-1: 'Hinrichsen, Sven ; Herbort, Robin ; Green,
Dominik ; Adrian, Benjamin
; Ahram, T. ; Motschnig,
R. (Hrsg.): How to Design an Operation-Specific LLM-Based Information
System, AHFE International. Bd. 197. New York, NY : AHFE, 2025'
havard: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, AHFE, New York, NY, 2025.
ieee: 'S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, vol. 197. New York, NY: AHFE, 2025. doi: 10.54941/ahfe1006709.'
mla: Hinrichsen, Sven, et al. “How to Design an Operation-Specific LLM-Based Information
System.” Human Interaction and Emerging Technologies (IHIET 2025), edited
by Tareq Ahram and Renate Motschnig, vol. 197, AHFE, 2025, https://doi.org/10.54941/ahfe1006709.
short: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, AHFE, New York, NY, 2025.
ufg: 'Hinrichsen, Sven u. a.: How to Design an Operation-Specific LLM-Based
Information System, Bd. 197, hg. von Ahram, Tareq/Motschnig, Renate, New York,
NY 2025 (AHFE International).'
van: 'Hinrichsen S, Herbort R, Green D, Adrian B. How to Design an Operation-Specific
LLM-Based Information System. Ahram T, Motschnig R, editors. Human Interaction
and Emerging Technologies (IHIET 2025). New York, NY: AHFE; 2025. (AHFE International;
vol. 197).'
conference:
end_date: 2025-08-27
location: Vienna
name: Human Interaction and Emerging Technologies (IHIET 2025)
start_date: 2025-08-25
date_created: 2025-11-10T16:18:06Z
date_updated: 2025-11-24T08:29:46Z
department:
- _id: DEP7020
- _id: DEP1305
doi: 10.54941/ahfe1006709
editor:
- first_name: Tareq
full_name: Ahram, Tareq
last_name: Ahram
- first_name: 'Renate '
full_name: 'Motschnig, Renate '
last_name: Motschnig
intvolume: ' 197'
keyword:
- Large language model
- Information system
- Retrieval augmented generation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://doi.org/10.54941/ahfe1006709
oa: '1'
place: New York, NY
publication: Human Interaction and Emerging Technologies (IHIET 2025)
publication_identifier:
isbn:
- 978-1-964867-73-1
issn:
- 2771-0718
publication_status: published
publisher: AHFE
quality_controlled: '1'
series_title: AHFE International
status: public
title: How to Design an Operation-Specific LLM-Based Information System
type: conference_editor_article
user_id: '83781'
volume: 197
year: '2025'
...
---
_id: '13294'
abstract:
- lang: eng
text: Die Leistungsfähigkeit von Large Language Models konnte in den letzten Jahren
deutlich verbessert werden, so dass viele Unternehmen solche Modelle bereits einsetzen
oder ihren Einsatz planen. Die Gestaltung eines betriebsspezifischen Informationssystems
unter Einbeziehung eines Large Language Model (LLM) ist allerdings mit einer Vielzahl
an Entscheidungen verbunden. Vor diesem Hintergrund wird in diesem Beitrag eine
Methode beschrieben, die bei der Gestaltung und Einführung eines LLM-basierten
Informationssystems unterstützen kann, um im Ergebnis eine möglichst anforderungsgerechte
Lösung zu entwickeln. Diese Methode besteht dabei aus einem Vorgehensmodell und
einer Liste mit Gestaltungsprinzipien, die auch als Erfolgsfaktoren bezeichnet
werden.
author:
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
- first_name: Robin
full_name: Herbort, Robin
id: '70575'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Benjamin
full_name: Adrian, Benjamin
id: '42266'
last_name: Adrian
citation:
ama: Hinrichsen S, Herbort R, Green D, Adrian B. Vorgehensmodell zur Entwicklung
und Implementierung von LLM-basierten Informationssystemen. (Gesellschaft
für Arbeitswissenschaft e.V. Sankt Augustin, ed.). GfA-Press; 2025:642-647.
apa: 'Hinrichsen, S., Herbort, R., Green, D., & Adrian, B. (2025). Vorgehensmodell
zur Entwicklung und Implementierung von LLM-basierten Informationssystemen. In
Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (Ed.), Arbeit 5.0:
Menschzentrierte Innovationen für die Zukunft der Arbeit (pp. 642–647). GfA-Press.'
bjps: 'Hinrichsen S et al. (2025) Vorgehensmodell zur Entwicklung
und Implementierung von LLM-basierten Informationssystemen, Gesellschaft für
Arbeitswissenschaft e.V. Sankt Augustin (ed.). Sankt Augustin: GfA-Press.'
chicago: 'Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. Vorgehensmodell
zur Entwicklung und Implementierung von LLM-basierten Informationssystemen.
Edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. Arbeit
5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit. Sankt Augustin:
GfA-Press, 2025.'
chicago-de: 'Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian.
2025. Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten
Informationssystemen. Hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt
Augustin. Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit.
Sankt Augustin: GfA-Press.'
din1505-2-1: 'Hinrichsen, Sven ; Herbort, Robin ; Green,
Dominik ; Adrian, Benjamin
; Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin (Hrsg.): Vorgehensmodell zur Entwicklung und Implementierung
von LLM-basierten Informationssystemen. Sankt Augustin : GfA-Press, 2025'
havard: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung
und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin,
2025.
ieee: 'S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, Vorgehensmodell zur
Entwicklung und Implementierung von LLM-basierten Informationssystemen. Sankt
Augustin: GfA-Press, 2025, pp. 642–647.'
mla: 'Hinrichsen, Sven, et al. “Vorgehensmodell zur Entwicklung und Implementierung
von LLM-basierten Informationssystemen.” Arbeit 5.0: Menschzentrierte Innovationen
für die Zukunft der Arbeit, edited by Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin, GfA-Press, 2025, pp. 642–47.'
short: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung
und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin,
2025.
ufg: 'Hinrichsen, Sven u. a.: Vorgehensmodell zur Entwicklung und Implementierung
von LLM-basierten Informationssystemen, hg. von Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin, Sankt Augustin 2025.'
van: 'Hinrichsen S, Herbort R, Green D, Adrian B. Vorgehensmodell zur Entwicklung
und Implementierung von LLM-basierten Informationssystemen. Gesellschaft für Arbeitswissenschaft
e.V. Sankt Augustin, editor. Arbeit 5.0: Menschzentrierte Innovationen für die
Zukunft der Arbeit. Sankt Augustin: GfA-Press; 2025.'
conference:
end_date: 2025-03-27
location: Aachen
name: 71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.
start_date: 2025-03-25
corporate_editor:
- Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin
date_created: 2025-11-10T16:39:12Z
date_updated: 2026-02-10T12:23:02Z
department:
- _id: DEP7020
- _id: DEP1305
keyword:
- Large Language Model
- Informationssystem
- Methode
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm
oa: '1'
page: 642-647
place: Sankt Augustin
publication: 'Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit'
publication_identifier:
isbn:
- 978-3-936804-36-2
publication_status: published
publisher: GfA-Press
status: public
title: Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen
type: conference_editor_article
user_id: '83781'
year: '2025'
...