{"type":"book_chapter","publication_identifier":{"isbn":["978-3-031-47061-5"],"eissn":["2522-8587"],"eisbn":["978-3-031-47062-2"],"issn":["2522-8579"]},"abstract":[{"text":"Manufacturing systems are dynamic and exhibit increasing complexity and uncertainty. Smart manufacturing uses Data Analytics methods to optimize manufacturing processes, systems and products. One approach to structure use cases in production management in smart manufacturing is the Product-Process-Resource (PPR) model, where the resource executes a process on a given product. The PPR model needs to be extended for smart manufacturing, to meet the requirements of prescriptive analytics (but not exclusively). Our contributions are an extended PPR model for prescriptive analytics (P2PR) that involves environmental effects, expert knowledge and adds a process sub-model distinguishing between manufacturing and supervisory processes. We develop prescriptive analytics decision-making categories based on the area of validity and the degree of interconnectivity. The combination results in a systematization scheme for prescriptive analytics use cases in a smart factory environment. It assists entities to find shared characteristics in different prescriptive smart factory use cases within one production ecosystem. A mapping of prescriptive algorithms (as part of a use case) to a category and domain is enabled for future case studies.             ","lang":"eng"}],"series_title":"Technologien für die intelligente Automation","place":"Cham","date_updated":"2024-09-10T09:33:09Z","page":"89-100","language":[{"iso":"eng"}],"intvolume":"        18","editor":[{"first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"},{"full_name":"Beyerer, Jürgen","last_name":"Beyerer","first_name":"Jürgen"},{"first_name":"Maria","last_name":"Krantz","full_name":"Krantz, Maria"},{"first_name":"Christian","full_name":"Kühnert, Christian","last_name":"Kühnert"}],"publisher":"Springer Nature Switzerland","author":[{"first_name":"Julian","full_name":"Weller, Julian","last_name":"Weller"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-7223-1735/work/167154965","last_name":"Migenda","full_name":"Migenda, Nico","id":"218473","orcid":"0000-0002-7223-1735","first_name":"Nico"},{"first_name":"Rui","full_name":"Liu, Rui","last_name":"Liu"},{"last_name":"Wegel","full_name":"Wegel, Arthur","first_name":"Arthur"},{"first_name":"Sebastian","last_name":"von Enzberg","full_name":"von Enzberg, Sebastian"},{"id":"226669","first_name":"Martin","orcid":"0009-0002-9374-0720","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/167154956","last_name":"Kohlhase","full_name":"Kohlhase, Martin"},{"full_name":"Schenck, Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/167154958","last_name":"Schenck","first_name":"Wolfram","orcid":"0000-0003-3300-2048","id":"224375"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"doi":"10.1007/978-3-031-47062-2_9","volume":18,"date_created":"2024-09-10T07:32:34Z","title":"Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories","publication":"Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023","citation":{"ama":"Weller J, Migenda N, Liu R, et al. Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In: Niggemann O, Beyerer J, Krantz M, Kühnert C, eds. <i>Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023</i>. Vol 18. Technologien für die intelligente Automation. Cham: Springer Nature Switzerland; 2024:89-100. doi:<a href=\"https://doi.org/10.1007/978-3-031-47062-2_9\">10.1007/978-3-031-47062-2_9</a>","mla":"Weller, Julian, et al. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” <i>Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023</i>, edited by Oliver Niggemann et al., vol. 18, Springer Nature Switzerland, 2024, pp. 89–100, doi:<a href=\"https://doi.org/10.1007/978-3-031-47062-2_9\">10.1007/978-3-031-47062-2_9</a>.","bibtex":"@inbook{Weller_Migenda_Liu_Wegel_von Enzberg_Kohlhase_Schenck_Dumitrescu_2024, place={Cham}, series={Technologien für die intelligente Automation}, title={Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories}, volume={18}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-47062-2_9\">10.1007/978-3-031-47062-2_9</a>}, booktitle={Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023}, publisher={Springer Nature Switzerland}, author={Weller, Julian and Migenda, Nico and Liu, Rui and Wegel, Arthur and von Enzberg, Sebastian and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}, editor={Niggemann, Oliver and Beyerer, Jürgen and Krantz, Maria and Kühnert, ChristianEditors}, year={2024}, pages={89–100}, collection={Technologien für die intelligente Automation} }","alphadin":"<span style=\"font-variant:small-caps;\">Weller, Julian</span> ; <span style=\"font-variant:small-caps;\">Migenda, Nico</span> ; <span style=\"font-variant:small-caps;\">Liu, Rui</span> ; <span style=\"font-variant:small-caps;\">Wegel, Arthur</span> ; <span style=\"font-variant:small-caps;\">von Enzberg, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span> ; <span style=\"font-variant:small-caps;\">Dumitrescu, Roman</span>: Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In: <span style=\"font-variant:small-caps;\">Niggemann, O.</span> ; <span style=\"font-variant:small-caps;\">Beyerer, J.</span> ; <span style=\"font-variant:small-caps;\">Krantz, M.</span> ; <span style=\"font-variant:small-caps;\">Kühnert, C.</span> (Hrsg.): <i>Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023</i>, <i>Technologien für die intelligente Automation</i>. Bd. 18. Cham : Springer Nature Switzerland, 2024, S. 89–100","short":"J. Weller, N. Migenda, R. Liu, A. Wegel, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, in: O. Niggemann, J. Beyerer, M. Krantz, C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, Springer Nature Switzerland, Cham, 2024, pp. 89–100.","chicago":"Weller, Julian, Nico Migenda, Rui Liu, Arthur Wegel, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” In <i>Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023</i>, edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert, 18:89–100. Technologien Für Die Intelligente Automation. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-47062-2_9\">https://doi.org/10.1007/978-3-031-47062-2_9</a>.","apa":"Weller, J., Migenda, N., Liu, R., Wegel, A., von Enzberg, S., Kohlhase, M., … Dumitrescu, R. (2024). Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In O. Niggemann, J. Beyerer, M. Krantz, &#38; C. Kühnert (Eds.), <i>Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023</i> (Vol. 18, pp. 89–100). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-47062-2_9\">https://doi.org/10.1007/978-3-031-47062-2_9</a>","ieee":"J. Weller <i>et al.</i>, “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories,” in <i>Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023</i>, vol. 18, O. Niggemann, J. Beyerer, M. Krantz, and C. Kühnert, Eds. Cham: Springer Nature Switzerland, 2024, pp. 89–100."},"user_id":"220548","_id":"4915","status":"public","publication_status":"published","year":"2024","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"}}