[{"department":[{"_id":"DEP7020"},{"_id":"DEP1305"},{"_id":"DEP7000"}],"series_title":"AHFE International","user_id":"83781","intvolume":"       200","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-76-2"]},"page":"63-73","place":"USA","author":[{"id":"85823","full_name":"Ullrich, Dominik","last_name":"Ullrich","first_name":"Dominik"},{"first_name":"Jens","last_name":"Wallys","full_name":"Wallys, Jens","id":"79046"},{"last_name":"Hinrichsen","first_name":"Sven","id":"49010","full_name":"Hinrichsen, Sven"}],"title":"Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems","doi":"10.54941/ahfe1007065","language":[{"iso":"eng"}],"abstract":[{"text":"Retrieval-augmented generation (RAG) based on large language models (LLMs) has established itself as a key technology for combining domain-specific information with generative language skills, thereby providing transparent, up-to-date information. Many firms are already piloting such LLM-based information systems, but report a high degree of complexity in planning and implementation. A generally accepted regulatory framework that consistently maps key decisions is not yet available to companies. This article therefore presents a multi-level system that organizes design decisions throughout the configuration process. This framework is intended to support users in the planning, realizing, evaluation, and further development of an LLM-based information system. To achieve this goal, a qualitative-empirical research design was chosen. First, publications from the period 2022 to 2025 were identified and selected using a systematic literature search in accordance with the PRISMA guideline. The selected publications were then evaluated using a qualitative content analysis. The result is a system that was reviewed, revised and finalized at an expert workshop.","lang":"eng"}],"editor":[{"last_name":"Ahram","first_name":"Tareq","full_name":"Ahram, Tareq"},{"last_name":"Karwowski","first_name":"Waldemar","full_name":"Karwowski, Waldemar"},{"full_name":"Giraldi , Laura","first_name":"Laura","last_name":"Giraldi "},{"full_name":"Benelli , Elisabetta","first_name":"Elisabetta","last_name":"Benelli "}],"keyword":["Retrieval-Augmented Generation","LLM-Based Information System","Conceptual Framework"],"conference":{"start_date":"2026-02-11","end_date":"2026-02-13","location":"Florence","name":"9th Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies"},"publication_status":"published","_id":"13334","status":"public","publisher":"AHFE International","volume":200,"year":"2026","quality_controlled":"1","date_created":"2026-01-09T07:27:32Z","type":"conference_editor_article","publication":"Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies","corporate_editor":["AHFE Open Access"],"date_updated":"2026-01-12T09:36:40Z","citation":{"ieee":"D. Ullrich, J. Wallys, and S. Hinrichsen, <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, vol. 200. USA: AHFE International, 2026, pp. 63–73. doi: <a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>.","van":"Ullrich D, Wallys J, Hinrichsen S. Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems. Ahram T, Karwowski W, Giraldi  L, Benelli  E, AHFE Open Access, editors. Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies. USA: AHFE International; 2026. (AHFE International; vol. 200).","short":"D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.","chicago":"Ullrich, Dominik, Jens Wallys, and Sven Hinrichsen. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Edited by Tareq Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , and AHFE Open Access. <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>. Vol. 200. AHFE International. USA: AHFE International, 2026. <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>.","havard":"D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.","ama":"Ullrich D, Wallys J, Hinrichsen S. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Vol 200. (Ahram T, Karwowski W, Giraldi  L, Benelli  E, AHFE Open Access, eds.). AHFE International; 2026:63-73. doi:<a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>","ufg":"<b>Ullrich, Dominik/Wallys, Jens/Hinrichsen, Sven</b>: Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, Bd. 200, hg. von Ahram, Tareq u. a., USA 2026 (AHFE International).","bjps":"<b>Ullrich D, Wallys J and Hinrichsen S</b> (2026) <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, Ahram T et al. (eds). USA: AHFE International.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ullrich, Dominik</span> ; <span style=\"font-variant:small-caps;\">Wallys, Jens</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;\">Giraldi , L.</span> ; <span style=\"font-variant:small-caps;\">Benelli , E.</span> ; <span style=\"font-variant:small-caps;\">AHFE Open Access</span> (Hrsg.): <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, <i>AHFE International</i>. Bd. 200. USA : AHFE International, 2026","apa":"Ullrich, D., Wallys, J., &#38; Hinrichsen, S. (2026). Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems. In T. Ahram, W. Karwowski, L. Giraldi , E. Benelli , &#38; AHFE Open Access (Eds.), <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i> (Vol. 200, pp. 63–73). AHFE International. <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>","mla":"Ullrich, Dominik, et al. “Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems.” <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>, edited by Tareq Ahram et al., vol. 200, AHFE International, 2026, pp. 63–73, <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>.","chicago-de":"Ullrich, Dominik, Jens Wallys und Sven Hinrichsen. 2026. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Hg. von Tareq Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , und AHFE Open Access. <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>. Bd. 200. AHFE International. USA: AHFE International. doi:<a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>, ."}},{"title":"Potentials of Large Language Models for Generating Assembly Instructions","doi":"https://doi.org/10.1109/ETFA61755.2024.10710806","language":[{"iso":"eng"}],"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."}],"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"user_id":"83781","intvolume":"        78","publication_identifier":{"eisbn":["979-8-3503-6122-3"],"isbn":["979-8-3503-6123-0"]},"place":"Piscataway, NJ","author":[{"last_name":"Meyer","first_name":"Frederic","full_name":"Meyer, Frederic","id":"70963"},{"full_name":"Freitag, Lennart","id":"73431","last_name":"Freitag","first_name":"Lennart"},{"last_name":"Hinrichsen","first_name":"Sven","full_name":"Hinrichsen, Sven","id":"49010"},{"full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver","last_name":"Niggemann"}],"year":"2024","quality_controlled":"1","type":"conference_editor_article","date_created":"2024-04-12T07:06:41Z","publication":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","corporate_editor":["IEEE"],"date_updated":"2024-10-22T07:28:35Z","citation":{"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>.","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>","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>, .","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>.","ufg":"<b>Meyer, Frederic u. a.</b>: Potentials of Large Language Models for Generating Assembly Instructions, Bd. 78, hg. von IEEE, Piscataway, NJ 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.","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","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>."},"keyword":["assembly instruction","GPT","large language model","LLM","prompt"],"conference":{"end_date":"2024-09-13","start_date":"2024-09-10","location":"Padova, Italy","name":"29th International Conference on Emerging Technologies and Factory Automation (ETFA)"},"publication_status":"published","_id":"11330","status":"public","publisher":"IEEE","volume":78}]