[{"article_type":"original","keyword":["Human-centered scheduling","Job autonomy","Learning-to-rank","Flexible job shop scheduling","Human decision-making","Explainable artificial intelligence"],"publication_status":"published","publication_identifier":{"issn":["0278-6125"]},"department":[{"_id":"DEP7027"}],"title":"Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance","doi":"10.1016/j.jmsy.2025.12.020","issue":"2","publication":"Journal of Manufacturing Systems","intvolume":"        84","citation":{"ufg":"<b>Herrmann, Jan-Phillip u. a.</b>: Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance, in: <i>Journal of Manufacturing Systems</i> 84 (2026), H. 2,  S. 541–560.","havard":"J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance, Journal of Manufacturing Systems. 84 (2026) 541–560.","apa":"Herrmann, J.-P., Tackenberg, S., Srirajan, T. P., &#38; Nitsch, V. (2026). Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance. <i>Journal of Manufacturing Systems</i>, <i>84</i>(2), 541–560. <a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">https://doi.org/10.1016/j.jmsy.2025.12.020</a>","ama":"Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance. <i>Journal of Manufacturing Systems</i>. 2026;84(2):541-560. doi:<a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">10.1016/j.jmsy.2025.12.020</a>","ieee":"J.-P. Herrmann, S. Tackenberg, T. P. Srirajan, and V. Nitsch, “Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance,” <i>Journal of Manufacturing Systems</i>, vol. 84, no. 2, pp. 541–560, 2026, doi: <a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">10.1016/j.jmsy.2025.12.020</a>.","van":"Herrmann JP, Tackenberg S, Srirajan TP, Nitsch V. Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance. Journal of Manufacturing Systems. 2026;84(2):541–60.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herrmann, Jan-Phillip</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span> ; <span style=\"font-variant:small-caps;\">Srirajan, Tharsika Pakeerathan</span> ; <span style=\"font-variant:small-caps;\">Nitsch, Verena</span>: Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance. In: <i>Journal of Manufacturing Systems</i> Bd. 84. Amsterdam, Elsevier BV (2026), Nr. 2, S. 541–560","mla":"Herrmann, Jan-Phillip, et al. “Incorporating Scheduling Autonomy of Workers into Flexible Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing Decisions with Overall Scheduling Performance.” <i>Journal of Manufacturing Systems</i>, vol. 84, no. 2, 2026, pp. 541–60, <a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">https://doi.org/10.1016/j.jmsy.2025.12.020</a>.","short":"J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Journal of Manufacturing Systems 84 (2026) 541–560.","chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan, and Verena Nitsch. “Incorporating Scheduling Autonomy of Workers into Flexible Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing Decisions with Overall Scheduling Performance.” <i>Journal of Manufacturing Systems</i> 84, no. 2 (2026): 541–60. <a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">https://doi.org/10.1016/j.jmsy.2025.12.020</a>.","bjps":"<b>Herrmann J-P <i>et al.</i></b> (2026) Incorporating Scheduling Autonomy of Workers into Flexible Job Shop Scheduling: Learning and Balancing Decentralized Task Sequencing Decisions with Overall Scheduling Performance. <i>Journal of Manufacturing Systems</i> <b>84</b>, 541–560.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg, Tharsika Pakeerathan Srirajan und Verena Nitsch. 2026. Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance. <i>Journal of Manufacturing Systems</i> 84, Nr. 2: 541–560. doi:<a href=\"https://doi.org/10.1016/j.jmsy.2025.12.020\">10.1016/j.jmsy.2025.12.020</a>, ."},"quality_controlled":"1","publisher":"Elsevier BV","user_id":"83781","date_updated":"2026-01-12T08:54:27Z","year":"2026","language":[{"iso":"eng"}],"date_created":"2026-01-12T08:29:09Z","author":[{"first_name":"Jan-Phillip","last_name":"Herrmann","full_name":"Herrmann, Jan-Phillip","id":"86180"},{"id":"71470","full_name":"Tackenberg, Sven","last_name":"Tackenberg","first_name":"Sven"},{"first_name":"Tharsika Pakeerathan","full_name":"Srirajan, Tharsika Pakeerathan","last_name":"Srirajan"},{"first_name":"Verena","last_name":"Nitsch","full_name":"Nitsch, Verena"}],"status":"public","place":"Amsterdam","abstract":[{"text":"In manufacturing systems with a job shop organization, queues between workstations create an intermittent process flow, allowing workers to schedule tasks entering the queue based on their needs and preferences. The resulting scheduling autonomy of individual workers often leads to inefficiencies in the overall production process due to the loss of control. Companies are therefore increasingly using algorithmic scheduling systems to assign task sequences to workers, thereby drastically reducing their autonomy and negatively affecting their job performance and well-being. This paper extends the existing flexible job shop scheduling problem by sequencing preferences (FJSPSP) to incorporate a human-centered perspective by predicting workers’ task sequencing decisions using learning-to-rank (LTR) methods. By learning workers’ individual task sequencing preferences, it becomes possible to predict the processing sequence based on task characteristics. The scheduling algorithm for the FJSPSP presented in the paper incorporates workers’ learned sequencing preferences as constraints. Considering workers’ learned task sequencing decisions, the FJSPSP optimizes only task assignments to maintain workers’ autonomy over task sequences. The contributions of this paper are fourfold, namely, (1) presenting an approach to elicit sequencing decision datasets from workers, (2) demonstrating the successful prediction of humans’ and an actual worker’s task sequencing decisions with LTR, (3) formulating the FJSPSP variant that integrates workers’ sequencing preferences as constraints and proving its effectiveness in a simulation study, and (4) consolidating these steps into an explainable artificial intelligence (XAI)- and LTR-enabled sociotechnical system design framework. The paper closes with a discussion of the overall methodology and future research perspectives.","lang":"eng"}],"page":"541-560","_id":"13337","type":"scientific_journal_article","volume":84},{"keyword":["Flexible Job Shop Scheduling","Learning To Rank","Erklärbare Künstliche Intelligenz","Planungsautonomie","Simulation"],"conference":{"name":"71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.","end_date":"2025-03-27","location":"Aachen","start_date":"2025-03-25"},"publication":"Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit","doi":"10.61063/FK2025","department":[{"_id":"DEP7020"}],"title":"Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen","publication_identifier":{"eisbn":["978-3-936804-36-2"]},"publication_status":"published","publisher":"GfA-Press","citation":{"apa":"Herrmann, J.-P., Tackenberg, S., &#38; Nitsch, V. (2025). Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen. In Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (Ed.), <i>Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit</i> (pp. 415–420). GfA-Press. <a href=\"https://doi.org/10.61063/FK2025\">https://doi.org/10.61063/FK2025</a>","ama":"Herrmann JP, Tackenberg S, Nitsch V. <i>Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen</i>. (Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, ed.). GfA-Press; 2025:415-420. doi:<a href=\"https://doi.org/10.61063/FK2025\">10.61063/FK2025</a>","ufg":"<b>Herrmann, Jan-Phillip/Tackenberg, Sven/Nitsch, Verena</b>: Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen, hg. von Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, Sankt Augustin 2025.","havard":"J.-P. Herrmann, S. Tackenberg, V. Nitsch, Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen, GfA-Press, Sankt Augustin, 2025.","ieee":"J.-P. Herrmann, S. Tackenberg, and V. Nitsch, <i>Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen</i>. Sankt Augustin: GfA-Press, 2025, pp. 415–420. doi: <a href=\"https://doi.org/10.61063/FK2025\">10.61063/FK2025</a>.","van":"Herrmann JP, Tackenberg S, Nitsch V. Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen. Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin, editor. Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit. Sankt Augustin: GfA-Press; 2025.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herrmann, Jan-Phillip</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span> ; <span style=\"font-variant:small-caps;\">Nitsch, Verena</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin</span> (Hrsg.): <i>Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen</i>. Sankt Augustin : GfA-Press, 2025","mla":"Herrmann, Jan-Phillip, et al. “Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen.” <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. 415–20, <a href=\"https://doi.org/10.61063/FK2025\">https://doi.org/10.61063/FK2025</a>.","chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, and Verena Nitsch. <i>Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen</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. <a href=\"https://doi.org/10.61063/FK2025\">https://doi.org/10.61063/FK2025</a>.","short":"J.-P. Herrmann, S. Tackenberg, V. Nitsch, Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen, GfA-Press, Sankt Augustin, 2025.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg und Verena Nitsch. 2025. <i>Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen</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. doi:<a href=\"https://doi.org/10.61063/FK2025\">10.61063/FK2025</a>, .","bjps":"<b>Herrmann J-P, Tackenberg S and Nitsch V</b> (2025) <i>Analyse Der Entscheidungsfindung von Fertigungsmitarbeitenden Durch Erklärbare Künstliche Intelligenz Zur Ableitung Arbeitsorganisatorischer Gestaltungsempfehlungen</i>, Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin (ed.). Sankt Augustin: GfA-Press."},"oa":"1","date_updated":"2026-02-10T12:24:29Z","year":"2025","user_id":"83781","corporate_editor":["Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin"],"date_created":"2026-01-29T10:20:46Z","main_file_link":[{"open_access":"1","url":"https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm"}],"language":[{"iso":"eng"}],"place":"Sankt Augustin","status":"public","author":[{"first_name":"Jan-Phillip","id":"75846","full_name":"Herrmann, Jan-Phillip","last_name":"Herrmann"},{"last_name":"Tackenberg","id":"71470","full_name":"Tackenberg, Sven","first_name":"Sven"},{"first_name":"Verena","last_name":"Nitsch","full_name":"Nitsch, Verena"}],"_id":"13350","page":"415-420","type":"conference_editor_article","abstract":[{"lang":"ger","text":"In einer humanzentrierten Kleinserien- und Einzelfertigung mit Werkstattorganisation verfügen Fertigungsmitarbeitende häufig über eine hohe Autonomie und Entscheidungsfreiheit. Das Zusammenspiel individueller Planungsstrategien von Mitarbeitenden innerhalb eines Fertigungsprozesses kann sich positiv als auch negativ auf das Erreichen der produktionslogistischen Zielgrößen auswirken. In diesem Beitrag wird eine Variante des Flexible Job Shop Scheduling Problems vorgestellt, welches das Entscheidungsverhalten autonomer Arbeitspersonen bezüglich der Bearbeitungsreihenfolgebildung berücksichtigt. Weiterhin wird die Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen durch die Analyse individueller Planungsstrategien von Arbeitspersonen mittels Methoden der erklärbaren künstlichen Intelligenz demonstriert. Betrachtungsgegenstand der Analyse ist die Entscheidung von Arbeitspersonen, in welcher Reihenfolge sie ihre täglichen Aufgaben abarbeiten. Der Beitrag schließt mit einer Diskussion über die Nutzung der vorgestellten Verfahren zur Ableitung von arbeitsorganisatorischen Gestaltungsempfehlungen."}]},{"intvolume":"        16","citation":{"apa":"Wan, J., Yang, J., Wang, S., Li, D., Li, P., &#38; Xia, M. (2019). Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i>, <i>16</i>(9), 6059–6068. <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>","ama":"Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i>. 2019;16(9):6059-6068. doi:<a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>","ufg":"<b>Wan, Jiafu u. a.</b>: Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory, in: <i>IEEE Transactions on Industrial Informatics</i> 16 (2019), H. 9,  S. 6059–6068.","havard":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory, IEEE Transactions on Industrial Informatics. 16 (2019) 6059–6068.","ieee":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, and M. Xia, “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory,” <i>IEEE Transactions on Industrial Informatics</i>, vol. 16, no. 9, pp. 6059–6068, 2019, doi: <a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>.","van":"Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics. 2019;16(9):6059–68.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Wan, Jiafu</span> ; <span style=\"font-variant:small-caps;\">Yang, Jun</span> ; <span style=\"font-variant:small-caps;\">Wang, Shiyong</span> ; <span style=\"font-variant:small-caps;\">Li, Di</span> ; <span style=\"font-variant:small-caps;\">Li, Peng</span> ; <span style=\"font-variant:small-caps;\">Xia, Min</span>: Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. In: <i>IEEE Transactions on Industrial Informatics</i> Bd. 16. New York, NY, Institute of Electrical and Electronics Engineers (IEEE) (2019), Nr. 9, S. 6059–6068","mla":"Wan, Jiafu, et al. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” <i>IEEE Transactions on Industrial Informatics</i>, vol. 16, no. 9, 2019, pp. 6059–68, <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>.","chicago":"Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li, and Min Xia. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” <i>IEEE Transactions on Industrial Informatics</i> 16, no. 9 (2019): 6059–68. <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>.","short":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, IEEE Transactions on Industrial Informatics 16 (2019) 6059–6068.","chicago-de":"Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li und Min Xia. 2019. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i> 16, Nr. 9: 6059–6068. doi:<a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>, .","bjps":"<b>Wan J <i>et al.</i></b> (2019) Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i> <b>16</b>, 6059–6068."},"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","keyword":["Heterogeneous networks","Real-time systems","Bandwidth","Job shop scheduling","Smart manufacturing","Computer architecture","Cross-network fusion","heterogeneous networks","network resource"],"isi":"1","publication":"IEEE Transactions on Industrial Informatics","publication_identifier":{"eissn":["1941-0050"],"issn":["1551-3203"]},"publication_status":"published","title":"Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory","department":[{"_id":"DEP5023"}],"doi":"10.1109/tii.2019.2952669","issue":"9","place":"New York, NY","author":[{"first_name":"Jiafu","last_name":"Wan","full_name":"Wan, Jiafu"},{"first_name":"Jun","last_name":"Yang","full_name":"Yang, Jun"},{"last_name":"Wang","full_name":"Wang, Shiyong","first_name":"Shiyong"},{"first_name":"Di","last_name":"Li","full_name":"Li, Di"},{"first_name":"Peng","last_name":"Li","full_name":"Li, Peng","id":"58937"},{"full_name":"Xia, Min","last_name":"Xia","first_name":"Min"}],"status":"public","_id":"12834","type":"scientific_journal_article","page":"6059-6068","volume":16,"abstract":[{"text":"In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform.","lang":"eng"}],"year":"2019","date_updated":"2025-06-26T13:26:20Z","user_id":"83781","date_created":"2025-04-23T08:35:16Z","external_id":{"isi":["000542966300043"]},"language":[{"iso":"eng"}]}]