[{"_id":"13337","keyword":["Human-centered scheduling","Job autonomy","Learning-to-rank","Flexible job shop scheduling","Human decision-making","Explainable artificial intelligence"],"user_id":"83781","page":"541-560","language":[{"iso":"eng"}],"citation":{"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","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.","short":"J.-P. Herrmann, S. Tackenberg, T.P. Srirajan, V. Nitsch, Journal of Manufacturing Systems 84 (2026) 541–560.","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>","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.","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>, .","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>","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>.","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>.","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>."},"publisher":"Elsevier BV","intvolume":"        84","publication":"Journal of Manufacturing Systems","article_type":"original","doi":"10.1016/j.jmsy.2025.12.020","status":"public","volume":84,"publication_status":"published","date_updated":"2026-01-12T08:54:27Z","publication_identifier":{"issn":["0278-6125"]},"date_created":"2026-01-12T08:29:09Z","quality_controlled":"1","issue":"2","title":"Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance","author":[{"first_name":"Jan-Phillip","id":"86180","full_name":"Herrmann, Jan-Phillip","last_name":"Herrmann"},{"last_name":"Tackenberg","full_name":"Tackenberg, Sven","id":"71470","first_name":"Sven"},{"full_name":"Srirajan, Tharsika Pakeerathan","last_name":"Srirajan","first_name":"Tharsika Pakeerathan"},{"last_name":"Nitsch","full_name":"Nitsch, Verena","first_name":"Verena"}],"place":"Amsterdam","type":"scientific_journal_article","department":[{"_id":"DEP7027"}],"abstract":[{"lang":"eng","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."}],"year":"2026"},{"quality_controlled":"1","date_created":"2026-01-29T10:15:17Z","publication_identifier":{"issn":["1877-0509"]},"date_updated":"2026-02-10T10:54:05Z","publication_status":"published","volume":253,"year":"2025","abstract":[{"lang":"eng","text":"In weakly-structured work processes, workers are free to decide in which sequence to process their tasks. Predicting their decision-making helps plan production more accurately while preserving workers’ autonomy. The factors that influence workers’ decision-making depend on the manufacturing process and person considered, and they must be newly collected for each use case. This paper identifies the factors influencing workers when deciding in which sequence to process manufacturing tasks in a medium-sized hydraulic cylinder manufacturer. Five workers and two lead workers were observed and interviewed during several work shifts about influencing factors. The authors propose a new interview technique called indifference testing to overcome subjects’ difficulty articulating their decision-making process. Collected factors were categorized using inductive category formation and context analysis. The analyses identified 75 influencing factors comprising 37 decision attributes and 38 decision rules. The identified decision attributes indicate that worker preferences are influenced by attributes from the classical scheduling literature and attributes related to worker well-being, circadian rhythms, and ergonomics. The identified decision rules are useful constituents of more complex preference functions. The decision attributes and rules enable the construction of machine learning models to predict workers’ task sequencing decisions in job shops. Potential applications include systematically eliminating or controlling influencing factors through workplace design measures to increase worker well-being and optimality of their decisions."}],"department":[{"_id":"DEP7020"}],"place":"Amsterdam","type":"scientific_journal_article","title":"Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer","author":[{"first_name":"Jan-Phillip","last_name":"Herrmann","full_name":"Herrmann, Jan-Phillip","id":"86180"},{"first_name":"Sven","last_name":"Tackenberg","full_name":"Tackenberg, Sven","id":"71470"},{"first_name":"Florens","full_name":"Burgert, Florens","last_name":"Burgert"},{"first_name":"Verena","full_name":"Nitsch, Verena","last_name":"Nitsch"}],"intvolume":"       253","doi":"10.1016/j.procs.2025.01.244","publication":"Procedia Computer Science","publisher":"Elsevier BV","language":[{"iso":"eng"}],"citation":{"chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert, and Verena Nitsch. “Influencing Factors on Worker Task Sequencing Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer.” <i>Procedia Computer Science</i> 253 (2025): 1820–29. <a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">https://doi.org/10.1016/j.procs.2025.01.244</a>.","van":"Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. Procedia Computer Science. 2025;253:1820–9.","ama":"Herrmann JP, Tackenberg S, Burgert F, Nitsch V. Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. <i>Procedia Computer Science</i>. 2025;253:1820-1829. doi:<a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">10.1016/j.procs.2025.01.244</a>","mla":"Herrmann, Jan-Phillip, et al. “Influencing Factors on Worker Task Sequencing Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer.” <i>Procedia Computer Science</i>, vol. 253, 2025, pp. 1820–29, <a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">https://doi.org/10.1016/j.procs.2025.01.244</a>.","bjps":"<b>Herrmann J-P <i>et al.</i></b> (2025) Influencing Factors on Worker Task Sequencing Decisions in a Medium-Sized Hydraulic Cylinder Manufacturer. <i>Procedia Computer Science</i> <b>253</b>, 1820–1829.","havard":"J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer, Procedia Computer Science. 253 (2025) 1820–1829.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg, Florens Burgert und Verena Nitsch. 2025. Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. <i>Procedia Computer Science</i> 253: 1820–1829. doi:<a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">10.1016/j.procs.2025.01.244</a>, .","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;\">Burgert, Florens</span> ; <span style=\"font-variant:small-caps;\">Nitsch, Verena</span>: Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. In: <i>Procedia Computer Science</i> Bd. 253. Amsterdam, Elsevier BV (2025), S. 1820–1829","apa":"Herrmann, J.-P., Tackenberg, S., Burgert, F., &#38; Nitsch, V. (2025). Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer. <i>Procedia Computer Science</i>, <i>253</i>, 1820–1829. <a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">https://doi.org/10.1016/j.procs.2025.01.244</a>","ieee":"J.-P. Herrmann, S. Tackenberg, F. Burgert, and V. Nitsch, “Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer,” <i>Procedia Computer Science</i>, vol. 253, pp. 1820–1829, 2025, doi: <a href=\"https://doi.org/10.1016/j.procs.2025.01.244\">10.1016/j.procs.2025.01.244</a>.","ufg":"<b>Herrmann, Jan-Phillip u. a.</b>: Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer, in: <i>Procedia Computer Science</i> 253 (2025),  S. 1820–1829.","short":"J.-P. Herrmann, S. Tackenberg, F. Burgert, V. Nitsch, Procedia Computer Science 253 (2025) 1820–1829."},"page":"1820-1829","_id":"13349","user_id":"83781","keyword":["Task Sequencing","Manufacturing","Learning To Rank","Scheduling Human Factors","Case Study"],"status":"public"},{"oa":"1","publisher":"GfA-Press","language":[{"iso":"eng"}],"citation":{"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.","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>, .","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","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>","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>.","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.","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":"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>.","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.","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>","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>.","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."},"page":"415-420","corporate_editor":["Gesellschaft für Arbeitswissenschaft e.V. Sankt Augustin"],"keyword":["Flexible Job Shop Scheduling","Learning To Rank","Erklärbare Künstliche Intelligenz","Planungsautonomie","Simulation"],"_id":"13350","user_id":"83781","doi":"10.61063/FK2025","publication":"Arbeit 5.0: Menschzentrierte Innovationen für die Zukunft der Arbeit","main_file_link":[{"open_access":"1","url":"https://www.gesellschaft-fuer-arbeitswissenschaft.de/publikationen_gfa-press-tagungsband.htm"}],"status":"public","conference":{"end_date":"2025-03-27","start_date":"2025-03-25","name":"71. Kongress der Gesellschaft für Arbeitswissenschaft e.V.","location":"Aachen"},"date_updated":"2026-02-10T12:24:29Z","publication_status":"published","date_created":"2026-01-29T10:20:46Z","publication_identifier":{"eisbn":["978-3-936804-36-2"]},"place":"Sankt Augustin","type":"conference_editor_article","title":"Analyse der Entscheidungsfindung von Fertigungsmitarbeitenden durch erklärbare künstliche Intelligenz zur Ableitung arbeitsorganisatorischer Gestaltungsempfehlungen","author":[{"last_name":"Herrmann","full_name":"Herrmann, Jan-Phillip","id":"75846","first_name":"Jan-Phillip"},{"id":"71470","full_name":"Tackenberg, Sven","last_name":"Tackenberg","first_name":"Sven"},{"last_name":"Nitsch","full_name":"Nitsch, Verena","first_name":"Verena"}],"year":"2025","abstract":[{"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.","lang":"ger"}],"department":[{"_id":"DEP7020"}]},{"page":"1329-1338","_id":"13351","user_id":"83781","keyword":["Scheduling","Sheltered Workshops","Assistance System","Persons with Disabilities"],"publisher":"Elsevier BV","citation":{"mla":"Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” <i>Procedia Computer Science</i>, vol. 232, 2024, pp. 1329–38, <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>.","chicago":"Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. “A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” <i>Procedia Computer Science</i> 232 (2024): 1329–38. <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>.","ieee":"J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, “A multi-skill RCPSP variant for persons with disabilities in sheltered workshops,” <i>Procedia Computer Science</i>, vol. 232, pp. 1329–1338, 2024, doi: <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>.","apa":"Herrmann, J.-P., Mordaschew, V., &#38; Tackenberg, S. (2024). A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. <i>Procedia Computer Science</i>, <i>232</i>, 1329–1338. <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>","havard":"J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant for persons with disabilities in sheltered workshops, Procedia Computer Science. 232 (2024) 1329–1338.","chicago-de":"Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024. A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. <i>Procedia Computer Science</i> 232: 1329–1338. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>, .","bjps":"<b>Herrmann J-P, Mordaschew V and Tackenberg S</b> (2024) A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops. <i>Procedia Computer Science</i> <b>232</b>, 1329–1338.","van":"Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. Procedia Computer Science. 2024;232:1329–38.","ama":"Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. <i>Procedia Computer Science</i>. 2024;232:1329-1338. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>","short":"J.-P. Herrmann, V. Mordaschew, S. Tackenberg, Procedia Computer Science 232 (2024) 1329–1338.","ufg":"<b>Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven</b>: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops, in: <i>Procedia Computer Science</i> 232 (2024),  S. 1329–1338.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herrmann, Jan-Phillip</span> ; <span style=\"font-variant:small-caps;\">Mordaschew, Viktoria</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span>: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. In: <i>Procedia Computer Science</i> Bd. 232. Amsterdam, Elsevier BV (2024), S. 1329–1338"},"language":[{"iso":"eng"}],"publication":"Procedia Computer Science","doi":"10.1016/j.procs.2024.01.131","intvolume":"       232","status":"public","date_updated":"2026-02-10T10:53:45Z","volume":232,"publication_status":"published","date_created":"2026-01-29T10:22:56Z","publication_identifier":{"issn":["1877-0509"]},"author":[{"full_name":"Herrmann, Jan-Phillip","id":"86180","last_name":"Herrmann","first_name":"Jan-Phillip"},{"full_name":"Mordaschew, Viktoria","id":"79005","last_name":"Mordaschew","first_name":"Viktoria"},{"full_name":"Tackenberg, Sven","id":"71470","last_name":"Tackenberg","first_name":"Sven"}],"title":"A multi-skill RCPSP variant for persons with disabilities in sheltered workshops","type":"scientific_journal_article","place":"Amsterdam","department":[{"_id":"DEP7020"}],"year":"2024","abstract":[{"lang":"eng","text":"Sheltered workshops face the challenge of meeting their manufacturing objectives while considering the individual competencies and assistance needs of persons with disabilities. Moreover, work processes in sheltered workshops are weakly structured, allowing for frequent task interruptions and changes based on the preferences of impaired work persons. While the Industry 4.0 literature provides many real-time scheduling algorithms for incorporating multiple objectives and constraints, these algorithms fall short of the characteristics of sheltered workshops. The resource-constrained project scheduling problem (RCPSP) is an optimization problem for computing manufacturing plans considering multiple objectives and resource constraints. Among many different RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work persons when generating manufacturing plans. With the ongoing digital transformation of enterprises, new assistance systems enter the market, providing individual support to impaired work persons and compensating for lacking skills and abilities.\r\nThis paper proposes an MSRCPSP variant that incorporates assistance systems and learning tasks compensating for competence gaps in the skill matrix of impaired work persons. Furthermore, it decomposes tasks into individual work objects, which accounts for frequent task interruptions and task preferences of work persons. The algorithm is described and demonstrated using a manufacturing data set from an actual sheltered workshop. In a small evaluation study, the algorithm is tested by scheduling two impaired work persons in the assembly department of a medium-sized manufacturing company in the primary labor market. The evaluation study proves its real-world applicability and the suitability of scheduling algorithms for participation and inclusive work."}]},{"abstract":[{"text":"Sheltered workshops face the challenge of meeting their manufacturing objectives while considering the individual competenciesand assistance needs of persons with disabilities. Moreover, work processes in sheltered workshops are weakly structured, allowing for frequent task interruptions and changes based on the preferences of impaired work persons. While the Industry 4.0 literature provides many real-time scheduling algorithms for incorporating multiple objectives and constraints, these algorithms fall short of the characteristics of sheltered workshops. The resource-constrained project scheduling problem (RCPSP) is an optimization problem for computing manufacturing plans considering multiple objectives and resource constraints. Among many different RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work persons when generating manufacturing plans. With the ongoing digital transformation of enterprises, new assistance systems enter the market, providing individual support to impaired work persons and compensating for lacking skills and abilities. This paper proposes an MSRCPSP variant that incorporates assistance systems and learning tasks compensating for competence gaps in the skill matrix of impaired work persons. Furthermore, it decomposes tasks into individual work objects, which accounts for frequent task interruptions and task preferences of work persons. The algorithm is described and demonstrated using a manufacturing data set from an actual sheltered workshop. In a small evaluation study, the algorithm is tested by scheduling two impaired work persons in the assembly department of a medium-sized manufacturing company in the primary labor market. The evaluation study proves its real-world applicability and the suitability of scheduling algorithms for participation and inclusive work. ","lang":"eng"}],"year":"2024","place":"Amsterdam [u.a.]","type":"conference_editor_article","title":"A multi-skill RCPSP variant for persons with disabilities in sheltered workshops","author":[{"last_name":"Herrmann","id":"86180","full_name":"Herrmann, Jan-Phillip","first_name":"Jan-Phillip"},{"first_name":"Viktoria","id":"79005","full_name":"Mordaschew, Viktoria","last_name":"Mordaschew"},{"first_name":"Sven","last_name":"Tackenberg","full_name":"Tackenberg, Sven","id":"71470"}],"publication_identifier":{"issn":["1877-0509"]},"date_created":"2025-04-15T12:33:51Z","series_title":"Procedia Computer Science","publication_status":"published","volume":232,"date_updated":"2025-06-25T12:45:54Z","conference":{"location":"Lisbon, PORTUGAL","name":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","start_date":"2023-11-22","end_date":"2023-11-24"},"status":"public","intvolume":"       232","publication":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","doi":"10.1016/j.procs.2024.01.131","language":[{"iso":"eng"}],"citation":{"apa":"Herrmann, J.-P., Mordaschew, V., &#38; Tackenberg, S. (2024). A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. In F. Longo, W. Shen, &#38; A. Padovano (Eds.), <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i> (Vol. 232, pp. 1329–1338). Elsevier BV. <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>","chicago-de":"Herrmann, Jan-Phillip, Viktoria Mordaschew und Sven Tackenberg. 2024. <i>A multi-skill RCPSP variant for persons with disabilities in sheltered workshops</i>. Hg. von F. Longo, W. Shen, und A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Bd. 232. Procedia Computer Science. Amsterdam [u.a.]: Elsevier BV. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>, .","havard":"J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A multi-skill RCPSP variant for persons with disabilities in sheltered workshops, Elsevier BV, Amsterdam [u.a.], 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herrmann, Jan-Phillip</span> ; <span style=\"font-variant:small-caps;\">Mordaschew, Viktoria</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span> ; <span style=\"font-variant:small-caps;\">Longo, F.</span> ; <span style=\"font-variant:small-caps;\">Shen, W.</span> ; <span style=\"font-variant:small-caps;\">Padovano, A.</span> (Hrsg.): <i>A multi-skill RCPSP variant for persons with disabilities in sheltered workshops</i>, <i>Procedia Computer Science</i>. Bd. 232. Amsterdam [u.a.] : Elsevier BV, 2024","short":"J.-P. Herrmann, V. Mordaschew, S. Tackenberg, A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops, Elsevier BV, Amsterdam [u.a.], 2024.","ieee":"J.-P. Herrmann, V. Mordaschew, and S. Tackenberg, <i>A multi-skill RCPSP variant for persons with disabilities in sheltered workshops</i>, vol. 232. Amsterdam [u.a.]: Elsevier BV, 2024, pp. 1329–1338. doi: <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>.","ufg":"<b>Herrmann, Jan-Phillip/Mordaschew, Viktoria/Tackenberg, Sven</b>: A multi-skill RCPSP variant for persons with disabilities in sheltered workshops, Bd. 232, hg. von Longo, F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer Science).","van":"Herrmann JP, Mordaschew V, Tackenberg S. A multi-skill RCPSP variant for persons with disabilities in sheltered workshops. Longo F, Shen W, Padovano A, editors. 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam [u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).","mla":"Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>, edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 1329–38, <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>.","ama":"Herrmann JP, Mordaschew V, Tackenberg S. <i>A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops</i>. Vol 232. (Longo F, Shen W, Padovano A, eds.). Elsevier BV; 2024:1329-1338. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">10.1016/j.procs.2024.01.131</a>","chicago":"Herrmann, Jan-Phillip, Viktoria Mordaschew, and Sven Tackenberg. <i>A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops</i>. Edited by F. Longo, W. Shen, and A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Vol. 232. Procedia Computer Science. Amsterdam [u.a.]: Elsevier BV, 2024. <a href=\"https://doi.org/10.1016/j.procs.2024.01.131\">https://doi.org/10.1016/j.procs.2024.01.131</a>.","bjps":"<b>Herrmann J-P, Mordaschew V and Tackenberg S</b> (2024) <i>A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops</i>, Longo F, Shen W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV."},"publisher":"Elsevier BV","_id":"12797","keyword":["Scheduling","Sheltered Workshops","Assistance System","Persons with Disabilities"],"user_id":"83781","page":"1329-1338","editor":[{"first_name":"F.","full_name":"Longo, F.","last_name":"Longo"},{"first_name":"W.","last_name":"Shen","full_name":"Shen, W."},{"first_name":"A.","last_name":"Padovano","full_name":"Padovano, A."}]},{"conference":{"start_date":"2023-03-01","end_date":"2023-03-03","location":"Hannover","name":"69. Arbeitswissenschaftlichen Kongresses"},"status":"public","language":[{"iso":"ger"}],"citation":{"ama":"Herrmann JP, Tackenberg S, Duckwitz S. <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>. Vol 40. GfA-Press; 2023.","van":"Herrmann JP, Tackenberg S, Duckwitz S. Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen. Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse. GfA-Press; 2023. (GfA-Press; vol. 40).","bjps":"<b>Herrmann J-P, Tackenberg S and Duckwitz S</b> (2023) <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>. GfA-Press.","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;\">Duckwitz, Sönke</span>: <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>, <i>GfA-Press</i>. Bd. 40 : GfA-Press, 2023","short":"J.-P. Herrmann, S. Tackenberg, S. Duckwitz, Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen, GfA-Press, 2023.","ufg":"<b>Herrmann, Jan-Phillip/Tackenberg, Sven/Duckwitz, Sönke</b>: Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen, Bd. 40, o. O. 2023 (GfA-Press).","mla":"Herrmann, Jan-Phillip, et al. “Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen.” <i>Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse</i>, vol. 40, GfA-Press, 2023.","chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, and Sönke Duckwitz. <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>. <i>Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse</i>. Vol. 40. GfA-Press. GfA-Press, 2023.","apa":"Herrmann, J.-P., Tackenberg, S., &#38; Duckwitz, S. (2023). Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen. In <i>Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse</i> (Vol. 40). GfA-Press.","havard":"J.-P. Herrmann, S. Tackenberg, S. Duckwitz, Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen, GfA-Press, 2023.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg und Sönke Duckwitz. 2023. <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>. <i>Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse</i>. Bd. 40. GfA-Press. GfA-Press.","ieee":"J.-P. Herrmann, S. Tackenberg, and S. Duckwitz, <i>Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen</i>, vol. 40. GfA-Press, 2023."},"publisher":"GfA-Press","_id":"10015","user_id":"15514","keyword":["Werkstätten für behinderte Menschen","Resource- constrained Project Scheduling Problem","Aufgabenauswahl","Simulation"],"popular_science":"1","intvolume":"        40","publication":"Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits und Lernprozesse","type":"conference_editor_article","title":"Konzept für die operative Fertigungsplanung unter Berücksichtigung der Kompetenzen von Personen mit Unterstützungsbedarf in Werkstätten für behinderte Menschen","author":[{"first_name":"Jan-Phillip","full_name":"Herrmann, Jan-Phillip","id":"75846","last_name":"Herrmann"},{"first_name":"Sven","last_name":"Tackenberg","id":"71470","full_name":"Tackenberg, Sven"},{"first_name":"Sönke","full_name":"Duckwitz, Sönke","last_name":"Duckwitz"}],"abstract":[{"text":"Die operative Fertigungsplanung für die Produktions¬bereiche von Werkstätten für behinderte Menschen steht vor der Herausforderung, die Kompetenzen und die individuellen Verhaltensweisen der Personen mit Unterstützungsbedarf bei einer gleichzeitigen Erfüllung der wirtschaftlichen Vorgaben angemessen zu berücksichtigen. Der vorliegende Beitrag beschreibt daher einen simulationsgestützten Ansatz zur Entwicklung von Fertigungsplänen. Hierzu erfolgt eine Allokation von Aufgaben zu Personen mit Unterstützungsbedarf unter Berücksichtigung der Funktionen von Assistenzsystemen in der Fertigung sowie einer zu erreichenden Lernwirksamkeit einer Aufgabenbearbeitung. Der realisierte Algorithmus wird anhand eines Planungsproblems für die Zielgrößen Wirtschaftlichkeit und Lernförderlichkeit verifiziert.","lang":"ger"}],"year":"2023","series_title":"GfA-Press","volume":40,"publication_status":"published","date_updated":"2023-06-29T12:25:51Z","publication_identifier":{"isbn":["978-3-936804-32-4"]},"date_created":"2023-06-26T11:30:06Z"},{"status":"public","main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S1877050922002277"}],"page":"194-204","keyword":["Data Quality Assessment","Advanced Planning","Scheduling","Bayesian Network","Enterprise Resource Planning"],"_id":"9356","user_id":"83781","oa":"1","publisher":"Elsevier","language":[{"iso":"eng"}],"citation":{"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;\">Padoano, Elio</span> ; <span style=\"font-variant:small-caps;\">Hartlief, Jörg</span> ; <span style=\"font-variant:small-caps;\"> Rautenstengel, Jens</span> ; <span style=\"font-variant:small-caps;\">Loeser, Christine</span> ; <span style=\"font-variant:small-caps;\">Böhme, Jörg </span>: An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. In: <i>Procedia Computer Science</i> Bd. 200, Elsevier (2022), S. 194–204","short":"J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J.  Rautenstengel, C. Loeser, J. Böhme, Procedia Computer Science 200 (2022) 194–204.","ufg":"<b>Herrmann, Jan-Phillip u. a.</b>: An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks, in: <i>Procedia Computer Science</i> 200 (2022),  S. 194–204.","ama":"Herrmann JP, Tackenberg S, Padoano E, et al. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i>. 2022;200:194-204. doi:<a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>","van":"Herrmann JP, Tackenberg S, Padoano E, Hartlief J,  Rautenstengel J, Loeser C, et al. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. Procedia Computer Science. 2022;200:194–204.","bjps":"<b>Herrmann J-P <i>et al.</i></b> (2022) An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks. <i>Procedia Computer Science</i> <b>200</b>, 194–204.","apa":"Herrmann, J.-P., Tackenberg, S., Padoano, E., Hartlief, J.,  Rautenstengel, J., Loeser, C., &#38; Böhme, J. (2022). An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i>, <i>200</i>, 194–204. <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>","havard":"J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J.  Rautenstengel, C. Loeser, J. Böhme, An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks, Procedia Computer Science. 200 (2022) 194–204.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens  Rautenstengel, Christine Loeser und Jörg  Böhme. 2022. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i> 200: 194–204. doi:<a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>, .","ieee":"J.-P. Herrmann <i>et al.</i>, “An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks,” <i>Procedia Computer Science</i>, vol. 200, pp. 194–204, 2022, doi: <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>.","mla":"Herrmann, Jan-Phillip, et al. “An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks.” <i>Procedia Computer Science</i>, vol. 200, 2022, pp. 194–204, <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>.","chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens  Rautenstengel, Christine Loeser, and Jörg  Böhme. “An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks.” <i>Procedia Computer Science</i> 200 (2022): 194–204. <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>."},"intvolume":"       200","publication":"Procedia Computer Science","doi":"https://doi.org/10.1016/j.procs.2022.01.218","title":"An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks","author":[{"last_name":"Herrmann","full_name":"Herrmann, Jan-Phillip","id":"75846","first_name":"Jan-Phillip"},{"first_name":"Sven","id":"71470","full_name":"Tackenberg, Sven","last_name":"Tackenberg"},{"full_name":"Padoano, Elio","last_name":"Padoano","first_name":"Elio"},{"first_name":"Jörg","last_name":"Hartlief","full_name":"Hartlief, Jörg"},{"first_name":"Jens","full_name":" Rautenstengel, Jens","last_name":" Rautenstengel"},{"full_name":"Loeser, Christine","last_name":"Loeser","first_name":"Christine"},{"first_name":"Jörg ","full_name":"Böhme, Jörg ","last_name":"Böhme"}],"type":"journal_article","department":[{"_id":"DEP7020"}],"year":"2022","abstract":[{"lang":"eng","text":"In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance."}],"date_updated":"2024-08-06T11:45:41Z","volume":200,"publication_status":"published","date_created":"2023-01-25T12:00:32Z","publication_identifier":{"issn":["1877-0509 "]},"quality_controlled":"1"},{"place":"New York, NY","type":"scientific_journal_article","title":"Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory","issue":"9","author":[{"last_name":"Wan","full_name":"Wan, Jiafu","first_name":"Jiafu"},{"first_name":"Jun","full_name":"Yang, Jun","last_name":"Yang"},{"last_name":"Wang","full_name":"Wang, Shiyong","first_name":"Shiyong"},{"first_name":"Di","last_name":"Li","full_name":"Li, Di"},{"id":"58937","full_name":"Li, Peng","last_name":"Li","first_name":"Peng"},{"first_name":"Min","last_name":"Xia","full_name":"Xia, Min"}],"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","department":[{"_id":"DEP5023"}],"publication_status":"published","volume":16,"date_updated":"2025-06-26T13:26:20Z","isi":"1","publication_identifier":{"issn":["1551-3203"],"eissn":["1941-0050"]},"date_created":"2025-04-23T08:35:16Z","status":"public","language":[{"iso":"eng"}],"citation":{"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>.","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.","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>, .","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>","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>.","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>.","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.","short":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, IEEE Transactions on Industrial Informatics 16 (2019) 6059–6068.","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","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.","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>","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."},"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","external_id":{"isi":["000542966300043"]},"_id":"12834","keyword":["Heterogeneous networks","Real-time systems","Bandwidth","Job shop scheduling","Smart manufacturing","Computer architecture","Cross-network fusion","heterogeneous networks","network resource"],"user_id":"83781","page":"6059-6068","intvolume":"        16","doi":"10.1109/tii.2019.2952669","publication":"IEEE Transactions on Industrial Informatics"}]