[{"conference":{"end_date":"2025-02-26","start_date":"2025-02-24","name":"8th International Conference on Intelligent Human Systems Integration (IHSI 2025)","location":"Rome, Italy"},"page":"765-775","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."}],"keyword":["Assembly Instruction","Retrieval Augmented Generation (RAG)","Large Language Model (LLM)"],"status":"public","department":[{"_id":"DEP7020"}],"user_id":"83781","year":"2025","doi":"10.54941/ahfe1005883","date_updated":"2026-01-12T09:39:25Z","publisher":"AHFE ","editor":[{"first_name":"Tareq ","full_name":"Ahram, Tareq ","last_name":"Ahram"},{"full_name":"Karwowski, Waldemar ","last_name":"Karwowski","first_name":"Waldemar "},{"full_name":"Martino, Carlo ","last_name":"Martino","first_name":"Carlo "},{"last_name":"Di Bucchianico","full_name":"Di Bucchianico, Giuseppe ","first_name":"Giuseppe "},{"full_name":"Maselli, Vincenzo ","last_name":"Maselli","first_name":"Vincenzo "}],"type":"conference_editor_article","_id":"13291","publication":"Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems","series_title":"AHFE International","title":"Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation","date_created":"2025-11-10T15:56:45Z","language":[{"iso":"eng"}],"volume":160,"publication_status":"published","place":"New York, NY","citation":{"ama":"Herbort R, Green D, Hinrichsen S. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Vol 160. (Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, eds.). AHFE ; 2025:765-775. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>","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).","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, <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, vol. 160. New York, NY: AHFE , 2025, pp. 765–775. doi: <a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>.","ufg":"<b>Herbort, Robin/Green, Dominik/Hinrichsen, Sven</b>: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg. von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).","chicago":"Herbort, Robin, Dominik Green, and Sven Hinrichsen. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Edited by Tareq  Ahram, Waldemar  Karwowski, Carlo  Martino, Giuseppe  Di Bucchianico, and Vincenzo  Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Vol. 160. AHFE International. New York, NY: AHFE , 2025. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","chicago-de":"Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Hg. von Tareq  Ahram, Waldemar  Karwowski, Carlo  Martino, Giuseppe  Di Bucchianico, und Vincenzo  Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Bd. 160. AHFE International. New York, NY: AHFE . doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>, .","short":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE , New York, NY, 2025.","bjps":"<b>Herbort R, Green D and Hinrichsen S</b> (2025) <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, Ahram T et al. (eds). New York, NY: AHFE .","mla":"Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation.” <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>, edited by Tareq  Ahram et al., vol. 160, AHFE , 2025, pp. 765–75, <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","apa":"Herbort, R., Green, D., &#38; Hinrichsen, S. (2025). Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W. Karwowski, C. Martino, G. Di Bucchianico, &#38; V. Maselli (Eds.), <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i> (Vol. 160, pp. 765–775). AHFE . <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Martino, C.</span> ; <span style=\"font-variant:small-caps;\">Di Bucchianico, G.</span> ; <span style=\"font-variant:small-caps;\">Maselli, V.</span> (Hrsg.): <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, <i>AHFE International</i>. Bd. 160. New York, NY : AHFE , 2025"},"publication_identifier":{"isbn":["978-1-964867-36-6"],"issn":["2771-0718"]},"author":[{"full_name":"Herbort, Robin","id":"86239","last_name":"Herbort","first_name":"Robin"},{"full_name":"Green, Dominik","last_name":"Green","id":"85489","first_name":"Dominik"},{"full_name":"Hinrichsen, Sven","id":"49010","last_name":"Hinrichsen","first_name":"Sven"}],"intvolume":"       160"},{"publisher":"AHFE","editor":[{"full_name":"Ahram, Tareq","last_name":"Ahram","first_name":"Tareq"},{"full_name":"Karwowski, Waldemar","last_name":"Karwowski","first_name":"Waldemar"},{"last_name":"Martino","full_name":"Martino, Carlo","first_name":"Carlo"},{"last_name":"Di Bucchianico","full_name":"Di Bucchianico, Giuseppe","first_name":"Giuseppe"},{"first_name":"Vincenzo","last_name":"Maselli","full_name":"Maselli, Vincenzo"}],"type":"conference_editor_article","date_updated":"2025-11-24T08:28:55Z","doi":"10.54941/ahfe1005883","quality_controlled":"1","status":"public","user_id":"83781","year":"2025","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"abstract":[{"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.","lang":"eng"}],"conference":{"name":"Intelligent Human Systems Integration (IHSI)","end_date":"2025-02-26","start_date":"2025-02-24","location":"Rome"},"keyword":["Retrieval Augmented Generation","Large Language Model","Assembly Instructions"],"place":"New York, NY","citation":{"ieee":"R. Herbort, D. Green, and S. Hinrichsen, <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, vol. 160. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>.","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).","ama":"Herbort R, Green D, Hinrichsen S. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Vol 160. (Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>","bjps":"<b>Herbort R, Green D and Hinrichsen S</b> (2025) <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, Ahram T et al. (eds). New York, NY: AHFE.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Martino, C.</span> ; <span style=\"font-variant:small-caps;\">Di Bucchianico, G.</span> ; <span style=\"font-variant:small-caps;\">Maselli, V.</span> (Hrsg.): <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, <i>AHFE International</i>. Bd. 160. New York, NY : AHFE, 2025","chicago":"Herbort, Robin, Dominik Green, and Sven Hinrichsen. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Edited by Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Vol. 160. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","havard":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.","short":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.","apa":"Herbort, R., Green, D., &#38; Hinrichsen, S. (2025). Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W. Karwowski, C. Martino, G. Di Bucchianico, &#38; V. Maselli (Eds.), <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i> (Vol. 160). AHFE. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>","mla":"Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation.” <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>, edited by Tareq Ahram et al., vol. 160, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","ufg":"<b>Herbort, Robin/Green, Dominik/Hinrichsen, Sven</b>: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg. von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).","chicago-de":"Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, und Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Bd. 160. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>, ."},"date_created":"2025-11-10T15:56:46Z","language":[{"iso":"eng"}],"volume":160,"publication_status":"published","author":[{"full_name":"Herbort, Robin","last_name":"Herbort","id":"70575","first_name":"Robin"},{"first_name":"Dominik","last_name":"Green","id":"85489","full_name":"Green, Dominik"},{"full_name":"Hinrichsen, Sven","id":"49010","last_name":"Hinrichsen","first_name":"Sven"}],"intvolume":"       160","publication_identifier":{"isbn":["978-1-964867-36-6"],"issn":["2771-0718"]},"main_file_link":[{"url":"http://doi.org/10.54941/ahfe1005883","open_access":"1"}],"title":"Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation","publication":"Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems","series_title":"AHFE International","oa":"1","_id":"13292"},{"conference":{"start_date":"2025-08-25","end_date":"2025-08-27","name":"Human Interaction and Emerging Technologies (IHIET 2025)","location":"Vienna"},"abstract":[{"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.","lang":"eng"}],"keyword":["Large language model","Information system","Retrieval augmented generation"],"status":"public","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"year":"2025","user_id":"83781","quality_controlled":"1","doi":"10.54941/ahfe1006709","date_updated":"2025-11-24T08:29:46Z","editor":[{"last_name":"Ahram","full_name":"Ahram, Tareq","first_name":"Tareq"},{"full_name":"Motschnig, Renate ","last_name":"Motschnig","first_name":"Renate "}],"publisher":"AHFE","type":"conference_editor_article","_id":"13293","oa":"1","publication":"Human Interaction and Emerging Technologies (IHIET 2025)","series_title":"AHFE International","title":"How to Design an Operation-Specific LLM-Based Information System","main_file_link":[{"open_access":"1","url":"http://doi.org/10.54941/ahfe1006709"}],"volume":197,"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2025-11-10T16:18:06Z","citation":{"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, <i>How to Design an Operation-Specific LLM-Based Information System</i>, vol. 197. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>.","ama":"Hinrichsen S, Herbort R, Green D, Adrian B. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Vol 197. (Ahram T, Motschnig R, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>","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).","mla":"Hinrichsen, Sven, et al. “How to Design an Operation-Specific LLM-Based Information System.” <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>, edited by Tareq Ahram and Renate  Motschnig, vol. 197, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>.","apa":"Hinrichsen, S., Herbort, R., Green, D., &#38; Adrian, B. (2025). How to Design an Operation-Specific LLM-Based Information System. In T. Ahram &#38; R. Motschnig (Eds.), <i>Human Interaction and Emerging Technologies (IHIET 2025)</i> (Vol. 197). AHFE. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Motschnig, R.</span> (Hrsg.): <i>How to Design an Operation-Specific LLM-Based Information System</i>, <i>AHFE International</i>. Bd. 197. New York, NY : AHFE, 2025","bjps":"<b>Hinrichsen S <i>et al.</i></b> (2025) <i>How to Design an Operation-Specific LLM-Based Information System</i>, Ahram T and Motschnig R (eds). New York, NY: AHFE.","short":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific LLM-Based Information System, AHFE, New York, NY, 2025.","chicago":"Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Edited by Tareq Ahram and Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Vol. 197. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>.","chicago-de":"Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian. 2025. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Hg. von Tareq Ahram und Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Bd. 197. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>, .","ufg":"<b>Hinrichsen, Sven u. a.</b>: How to Design an Operation-Specific LLM-Based Information System, Bd. 197, hg. von Ahram, Tareq/Motschnig, Renate, New York, NY 2025 (AHFE International)."},"place":"New York, NY","publication_identifier":{"isbn":["978-1-964867-73-1"],"issn":["2771-0718"]},"author":[{"first_name":"Sven","full_name":"Hinrichsen, Sven","last_name":"Hinrichsen","id":"49010"},{"full_name":"Herbort, Robin","last_name":"Herbort","id":"70575","first_name":"Robin"},{"full_name":"Green, Dominik","last_name":"Green","id":"85489","first_name":"Dominik"},{"first_name":"Benjamin","last_name":"Adrian","id":"42266","full_name":"Adrian, Benjamin"}],"intvolume":"       197"},{"title":"Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen","main_file_link":[{"open_access":"1","url":"https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm"}],"date_created":"2025-11-10T16:39:12Z","language":[{"iso":"ger"}],"publication_status":"published","place":"Sankt Augustin","citation":{"short":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin, 2025.","apa":"Hinrichsen, S., Herbort, R., Green, D., &#38; Adrian, B. (2025). Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen. In Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (Ed.), <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i> (pp. 642–647). GfA-Press.","mla":"Hinrichsen, Sven, et al. “Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen.” <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>, edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, GfA-Press, 2025, pp. 642–47.","ufg":"<b>Hinrichsen, Sven u. a.</b>: Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, Sankt Augustin 2025.","chicago-de":"Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian. 2025. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>. Sankt Augustin: GfA-Press.","havard":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen, GfA-Press, Sankt Augustin, 2025.","bjps":"<b>Hinrichsen S <i>et al.</i></b> (2025) <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>, Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (ed.). Sankt Augustin: GfA-Press.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin</span> (Hrsg.): <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Sankt Augustin : GfA-Press, 2025","chicago":"Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Edited by Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin. <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i>. Sankt Augustin: GfA-Press, 2025.","ieee":"S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. Sankt Augustin: GfA-Press, 2025, pp. 642–647.","ama":"Hinrichsen S, Herbort R, Green D, Adrian B. <i>Vorgehensmodell zur Entwicklung und Implementierung von LLM-basierten Informationssystemen</i>. (Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, ed.). GfA-Press; 2025:642-647.","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."},"publication_identifier":{"isbn":["978-3-936804-36-2"]},"author":[{"first_name":"Sven","full_name":"Hinrichsen, Sven","last_name":"Hinrichsen","id":"49010"},{"first_name":"Robin","full_name":"Herbort, Robin","id":"70575","last_name":"Herbort"},{"full_name":"Green, Dominik","last_name":"Green","id":"85489","first_name":"Dominik"},{"first_name":"Benjamin","full_name":"Adrian, Benjamin","id":"42266","last_name":"Adrian"}],"oa":"1","_id":"13294","publication":"Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit","date_updated":"2026-02-10T12:23:02Z","publisher":"GfA-Press","type":"conference_editor_article","conference":{"location":"Aachen","name":"71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.","end_date":"2025-03-27","start_date":"2025-03-25"},"page":"642-647","abstract":[{"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.","lang":"eng"}],"keyword":["Large Language Model","Informationssystem","Methode"],"status":"public","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"corporate_editor":["Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin"],"user_id":"83781","year":"2025"},{"conference":{"location":"Padova, Italy","name":"29th International Conference on Emerging Technologies and Factory Automation (ETFA)","end_date":"2024-09-13","start_date":"2024-09-10"},"abstract":[{"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.","lang":"eng"}],"keyword":["assembly instruction","GPT","large language model","LLM","prompt"],"status":"public","department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"corporate_editor":["IEEE"],"year":"2024","user_id":"83781","quality_controlled":"1","date_updated":"2024-10-22T07:28:35Z","doi":"https://doi.org/10.1109/ETFA61755.2024.10710806","publisher":"IEEE","type":"conference_editor_article","_id":"11330","publication":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","title":"Potentials of Large Language Models for Generating Assembly Instructions","date_created":"2024-04-12T07:06:41Z","language":[{"iso":"eng"}],"volume":78,"publication_status":"published","place":"Piscataway, NJ","citation":{"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>, .","ufg":"<b>Meyer, Frederic u. a.</b>: Potentials of Large Language Models for Generating Assembly Instructions, Bd. 78, hg. von IEEE, Piscataway, NJ 2024.","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>","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.","havard":"F. Meyer, L. Freitag, S. Hinrichsen, O. Niggemann, Potentials of Large Language Models for Generating Assembly Instructions, IEEE, Piscataway, NJ, 2024.","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>.","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","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.","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>","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.","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>."},"publication_identifier":{"eisbn":["979-8-3503-6122-3"],"isbn":["979-8-3503-6123-0"]},"intvolume":"        78","author":[{"first_name":"Frederic","last_name":"Meyer","id":"70963","full_name":"Meyer, Frederic"},{"first_name":"Lennart","last_name":"Freitag","id":"73431","full_name":"Freitag, Lennart"},{"first_name":"Sven","full_name":"Hinrichsen, Sven","id":"49010","last_name":"Hinrichsen"},{"first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann","id":"10876"}]}]