{"doi":"10.5220/0011677000003393","publisher":"SCITEPRESS - Science and Technology Publications","author":[{"id":"255787","first_name":"Kaja","full_name":"Balzereit, Kaja","orcid":"0000-0001-9203-5902","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-9203-5902/work/179509753","last_name":"Balzereit"},{"first_name":"Nehal","last_name":"Soni","full_name":"Soni, Nehal"},{"id":"227277","first_name":"Andreas","last_name":"Bünte","full_name":"Bünte, Andreas"}],"conference":{"end_date":"2023-02-24","start_date":"2023-02-22","location":"Lisbon, Portugal","name":"15th International Conference on Agents and Artificial Intelligence"},"page":"405-412","editor":[{"last_name":"Rocha ","full_name":"Rocha , Ana Paula","first_name":"Ana Paula"},{"first_name":"Luc ","last_name":"Steels ","full_name":"Steels , Luc "},{"first_name":"Jaap","full_name":"van den Herik, Jaap","last_name":"van den Herik"}],"user_id":"220548","date_created":"2025-03-03T13:12:20Z","date_updated":"2025-03-12T08:54:51Z","extern":"1","publication":"Proceedings of the 15th International Conference on Agents and Artificial Intelligence","quality_controlled":"1","department":[{"_id":"103"}],"publication_identifier":{"isbn":["978-989-758-623-1"]},"language":[{"iso":"eng"}],"abstract":[{"text":"The order picking process in a manufacturing supermarket is central in many industrial productions as it ensures that the items required for production are provided at the right time. However, the order picking process itself often is a black box, i.e., the time it takes to pick an order and the dependencies in the process that influence the time usually are not exactly known. In this work, we highlight the potentials of creating explainable predictions of order picking times using Artificial Intelligence methods. The prediction is based on the analysis of a historic database and on a linear regression analysis that learns the dependencies in the data. From this prediction, (1) the potential of identifying features having a high and a low influence on the order picking time, (2) the potential of optimizing the order picking process itself, and (3) the potential of optimizing depending processes are identified. For prediction, we utilize the regression methods LASSO and Decision Tree.","lang":"eng"}],"citation":{"ieee":"K. Balzereit, N. Soni, and A. Bünte, “Potentials of Explainable Predictions of Order Picking Times in Industrial Production,” in <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i>, Lisbon, Portugal, 2023, pp. 405–412.","apa":"Balzereit, K., Soni, N., &#38; Bünte, A. (2023). Potentials of Explainable Predictions of Order Picking Times in Industrial Production. In A. P. Rocha , L. Steels , &#38; J. van den Herik (Eds.), <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i> (pp. 405–412). Lisbon, Portugal: SCITEPRESS - Science and Technology Publications. <a href=\"https://doi.org/10.5220/0011677000003393\">https://doi.org/10.5220/0011677000003393</a>","ama":"Balzereit K, Soni N, Bünte A. Potentials of Explainable Predictions of Order Picking Times in Industrial Production. In: Rocha  AP, Steels  L, van den Herik J, eds. <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i>. SCITEPRESS - Science and Technology Publications; 2023:405-412. doi:<a href=\"https://doi.org/10.5220/0011677000003393\">10.5220/0011677000003393</a>","mla":"Balzereit, Kaja, et al. “Potentials of Explainable Predictions of Order Picking Times in Industrial Production.” <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i>, edited by Ana Paula Rocha  et al., SCITEPRESS - Science and Technology Publications, 2023, pp. 405–12, doi:<a href=\"https://doi.org/10.5220/0011677000003393\">10.5220/0011677000003393</a>.","short":"K. Balzereit, N. Soni, A. Bünte, in: A.P. Rocha , L. Steels , J. van den Herik (Eds.), Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023, pp. 405–412.","bibtex":"@inproceedings{Balzereit_Soni_Bünte_2023, title={Potentials of Explainable Predictions of Order Picking Times in Industrial Production}, DOI={<a href=\"https://doi.org/10.5220/0011677000003393\">10.5220/0011677000003393</a>}, booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Balzereit, Kaja and Soni, Nehal and Bünte, Andreas}, editor={Rocha , Ana Paula and Steels , Luc  and van den Herik, JaapEditors}, year={2023}, pages={405–412} }","alphadin":"<span style=\"font-variant:small-caps;\">Balzereit, Kaja</span> ; <span style=\"font-variant:small-caps;\">Soni, Nehal</span> ; <span style=\"font-variant:small-caps;\">Bünte, Andreas</span>: Potentials of Explainable Predictions of Order Picking Times in Industrial Production. In: <span style=\"font-variant:small-caps;\">Rocha , A. P.</span> ; <span style=\"font-variant:small-caps;\">Steels , L.</span> ; <span style=\"font-variant:small-caps;\">van den Herik, J.</span> (Hrsg.): <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i> : SCITEPRESS - Science and Technology Publications, 2023, S. 405–412","chicago":"Balzereit, Kaja, Nehal Soni, and Andreas Bünte. “Potentials of Explainable Predictions of Order Picking Times in Industrial Production.” In <i>Proceedings of the 15th International Conference on Agents and Artificial Intelligence</i>, edited by Ana Paula Rocha , Luc  Steels , and Jaap van den Herik, 405–12. SCITEPRESS - Science and Technology Publications, 2023. <a href=\"https://doi.org/10.5220/0011677000003393\">https://doi.org/10.5220/0011677000003393</a>."},"year":"2023","type":"conference","publication_status":"published","title":"Potentials of Explainable Predictions of Order Picking Times in Industrial Production","_id":"5779","status":"public"}