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The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness. <i>Proceedings of the Thirty-First Americas Conference on Information Systems (AMCIS 2025)</i>.","short":"J. Göbel, H. Betke, J. Boldt, M.L. Tran, G. Schryen, in: Proceedings of the Thirty-First Americas Conference on Information Systems (AMCIS 2025), Montréal, Canada, 2025.","chicago":"Göbel, J., H. Betke, J. Boldt, M. L. Tran, and Guido Schryen. “The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness.” In <i>Proceedings of the Thirty-First Americas Conference on Information Systems (AMCIS 2025)</i>. Montréal, Canada, 2025.","mla":"Göbel, J., et al. “The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness.” <i>Proceedings of the Thirty-First Americas Conference on Information Systems (AMCIS 2025)</i>, 2025.","bibtex":"@inproceedings{Göbel_Betke_Boldt_Tran_Schryen_2025, place={Montréal, Canada}, title={The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness}, booktitle={Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)}, author={Göbel, J. and Betke, H. and Boldt, J. and Tran, M. L. and Schryen, Guido}, year={2025} }","ama":"Göbel J, Betke H, Boldt J, Tran ML, Schryen G. The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness. In: <i>Proceedings of the Thirty-First Americas Conference on Information Systems (AMCIS 2025)</i>. ; 2025."},"publication":"Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)","file_date_updated":"2025-09-18T13:17:01Z"},{"title":"Optimization Techniques for Sustainable Energy System Design","year":"2025","status":"public","author":[{"full_name":"Burmeister, Sascha Christian","orcid":"0000-0001-6679-0453","first_name":"Sascha Christian","last_name":"Burmeister","id":"32685"}],"date_updated":"2025-10-22T06:18:37Z","_id":"61916","language":[{"iso":"eng"}],"publisher":"LibreCat University","user_id":"32685","doi":"10.17619/UNIPB/1-2403","citation":{"ieee":"S. C. Burmeister, <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University, 2025.","apa":"Burmeister, S. C. (2025). <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University. <a href=\"https://doi.org/10.17619/UNIPB/1-2403\">https://doi.org/10.17619/UNIPB/1-2403</a>","chicago":"Burmeister, Sascha Christian. <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University, 2025. <a href=\"https://doi.org/10.17619/UNIPB/1-2403\">https://doi.org/10.17619/UNIPB/1-2403</a>.","short":"S.C. Burmeister, Optimization Techniques for Sustainable Energy System Design, LibreCat University, 2025.","mla":"Burmeister, Sascha Christian. <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University, 2025, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2403\">10.17619/UNIPB/1-2403</a>.","bibtex":"@book{Burmeister_2025, title={Optimization Techniques for Sustainable Energy System Design}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-2403\">10.17619/UNIPB/1-2403</a>}, publisher={LibreCat University}, author={Burmeister, Sascha Christian}, year={2025} }","ama":"Burmeister SC. <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University; 2025. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2403\">10.17619/UNIPB/1-2403</a>"},"extern":"1","abstract":[{"text":"Diese Dissertation untersucht Optimierungsverfahren für die nachhaltige Gestaltung von Energiesystemen mit Schwerpunkt auf dem Elektrizitätssektor im Kontext der Energiewende. Aufbauend auf Methoden des Operations Research werden Planungs- und Steuerungsprobleme in den Bereichen Stromverteilnetze und energiebewusste Produktionsplanung adressiert. Die Arbeit umfasst fünf Beiträge: (P1) entwickelt ein lineares Multi-Commodity-Flow-Modell für die kostenoptimale Erweiterung großskaliger Verteilnetze unter Berücksichtigung von Resilienzszenarien und analysiert den Zusammenhang zwischen Modellparametern und Rechenzeiten; (P2) und (P3) befassen sich mit der mehrzielorientierten flexible Job Shop Scheduling-Optimierung unter Echtzeit-Strompreisen, wobei (P3) zusätzlich CO2-Emissionen als Zielgröße integriert; (P4) erweitert dieses Szenario um simultane Energiebeschaffungsentscheidungen aus Netz, erneuerbaren Quellen und Speichersystemen unter Unsicherheit mittels Rolling-Horizon-Ansatz; (P5) vergleicht unterschiedliche Klassen von Many-Objective Evolutionary Algorithms (dominanz-, indikatoren- und dekompositionsbasiert) im Hinblick auf Konvergenz, Diversität und Vollständigkeit der Paretofront. Die entwickelten Modelle und Algorithmen – darunter memetische Varianten von NSGA-II, NSGA-III, θ-DEA und HypE – werden durch umfassende Rechenexperimente evaluiert. Die Ergebnisse liefern praxisrelevante Handlungsempfehlungen für Netzbetreiber, produzierende Unternehmen und politische Entscheidungsträger und leisten einen Beitrag zur effizienten, zuverlässigen und emissionsarmen Energieversorgung der Zukunft.","lang":"eng"},{"lang":"eng","text":"This dissertation explores optimization methods for sustainable energy system design, with a particular focus on the electricity sector in the context of the energy transition. Building on Operations Research methodologies, it addresses planning and control challenges in electricity distribution networks and energy-aware production scheduling. The work comprises five contributions: (P1) develops a linear multi-commodity flow model for cost-optimal expansion of large-scale distribution networks under resilience scenarios and analyzes the relationship between model parameters and computation times; (P2) and (P3) address multi-objective flexible job shop scheduling under real-time electricity pricing, with (P3) further incorporating CO2 emissions as an explicit optimization objective; (P4) extends this scenario to include simultaneous energy procurement decisions from the grid, on-site renewable sources, and energy storage systems under uncertainty, using a rolling horizon approach; (P5) compares different classes of many-objective evolutionary algorithms (dominance-, indicator-, and decomposition-based) in terms of convergence, diversity, and completeness of the Pareto front. The proposed models and algorithms—including memetic variants of NSGA-II, NSGA-III, θ-DEA, and HypE—are evaluated through extensive computational experiments. The findings provide practical recommendations for distribution network operators, manufacturing companies, and policymakers, contributing to the development of efficient, reliable, and low-emission energy systems for the future."}],"date_created":"2025-10-22T06:13:50Z","type":"dissertation","department":[{"_id":"277"}]},{"date_created":"2025-01-27T13:05:32Z","file":[{"creator":"saschab","date_created":"2025-01-27T13:03:28Z","file_size":5979511,"access_level":"open_access","file_name":"CLES_A two-level approach for multi-objective flexible job shop scheduling and energy procurement_preprint.pdf","date_updated":"2025-01-27T13:03:28Z","relation":"main_file","content_type":"application/pdf","file_id":"58371"}],"department":[{"_id":"277"}],"type":"journal_article","publication":"Cleaner Energy Systems","issue":"June","language":[{"iso":"eng"}],"article_number":"100178","doi":"10.1016/j.cles.2025.100178","author":[{"first_name":"Sascha Christian","orcid":"0000-0001-6679-0453","last_name":"Burmeister","full_name":"Burmeister, Sascha Christian","id":"32685"},{"full_name":"Guericke, Daniela","last_name":"Guericke","first_name":"Daniela"},{"full_name":"Schryen, Guido","first_name":"Guido","last_name":"Schryen","id":"72850"}],"year":"2025","title":"A two-level approach for multi-objective flexible job shop scheduling and energy procurement","intvolume":"        10","date_updated":"2026-06-13T06:33:28Z","oa":"1","citation":{"ama":"Burmeister SC, Guericke D, Schryen G. A two-level approach for multi-objective flexible job shop scheduling and energy procurement. <i>Cleaner Energy Systems</i>. 2025;10(June). doi:<a href=\"https://doi.org/10.1016/j.cles.2025.100178\">10.1016/j.cles.2025.100178</a>","bibtex":"@article{Burmeister_Guericke_Schryen_2025, title={A two-level approach for multi-objective flexible job shop scheduling and energy procurement}, volume={10}, DOI={<a href=\"https://doi.org/10.1016/j.cles.2025.100178\">10.1016/j.cles.2025.100178</a>}, number={June100178}, journal={Cleaner Energy Systems}, publisher={Elsevier}, author={Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}, year={2025} }","mla":"Burmeister, Sascha Christian, et al. “A Two-Level Approach for Multi-Objective Flexible Job Shop Scheduling and Energy Procurement.” <i>Cleaner Energy Systems</i>, vol. 10, no. June, 100178, Elsevier, 2025, doi:<a href=\"https://doi.org/10.1016/j.cles.2025.100178\">10.1016/j.cles.2025.100178</a>.","short":"S.C. Burmeister, D. Guericke, G. Schryen, Cleaner Energy Systems 10 (2025).","chicago":"Burmeister, Sascha Christian, Daniela Guericke, and Guido Schryen. “A Two-Level Approach for Multi-Objective Flexible Job Shop Scheduling and Energy Procurement.” <i>Cleaner Energy Systems</i> 10, no. June (2025). <a href=\"https://doi.org/10.1016/j.cles.2025.100178\">https://doi.org/10.1016/j.cles.2025.100178</a>.","apa":"Burmeister, S. C., Guericke, D., &#38; Schryen, G. (2025). A two-level approach for multi-objective flexible job shop scheduling and energy procurement. <i>Cleaner Energy Systems</i>, <i>10</i>(June), Article 100178. <a href=\"https://doi.org/10.1016/j.cles.2025.100178\">https://doi.org/10.1016/j.cles.2025.100178</a>","ieee":"S. C. Burmeister, D. Guericke, and G. Schryen, “A two-level approach for multi-objective flexible job shop scheduling and energy procurement,” <i>Cleaner Energy Systems</i>, vol. 10, no. 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(2025). Exploring the Scope of Generative AI in Literature Review Development. <i>Electronic Markets</i>, <i>35</i>, Article 13.","ieee":"G. Schryen, M. Marrone, and J. Yang, “Exploring the Scope of Generative AI in Literature Review Development,” <i>Electronic Markets</i>, vol. 35, Art. no. 13, 2025.","short":"G. Schryen, M. Marrone, J. Yang, Electronic Markets 35 (2025).","chicago":"Schryen, Guido, Mauricio Marrone, and Jack Yang. “Exploring the Scope of Generative AI in Literature Review Development.” <i>Electronic Markets</i> 35 (2025).","mla":"Schryen, Guido, et al. “Exploring the Scope of Generative AI in Literature Review Development.” <i>Electronic Markets</i>, vol. 35, 13, 2025.","ama":"Schryen G, Marrone M, Yang J. Exploring the Scope of Generative AI in Literature Review Development. <i>Electronic Markets</i>. 2025;35.","bibtex":"@article{Schryen_Marrone_Yang_2025, title={Exploring the Scope of Generative AI in Literature Review Development}, volume={35}, number={13}, journal={Electronic Markets}, author={Schryen, Guido and Marrone, Mauricio and Yang, Jack}, year={2025} }"},"file_date_updated":"2025-01-10T16:50:54Z","oa":"1"},{"file":[{"access_level":"open_access","file_size":989773,"file_name":"ParallelScalabilityAnalysis__Preprint.pdf","date_updated":"2024-01-09T10:39:33Z","relation":"main_file","content_type":"application/pdf","file_id":"50375","creator":"mateskam","date_created":"2024-01-09T10:39:33Z"}],"date_created":"2024-01-09T10:40:44Z","type":"journal_article","department":[{"_id":"277"}],"oa":"1","file_date_updated":"2024-01-09T10:39:33Z","publication":"Journal of Parallel and Distributed Computing","citation":{"short":"G. Schryen, Journal of Parallel and Distributed Computing (2024).","chicago":"Schryen, Guido. “Speedup and Efficiency of Computational Parallelization: A Unifying Approach and Asymptotic Analysis.” <i>Journal of Parallel and Distributed Computing</i>, 2024.","apa":"Schryen, G. (2024). Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. <i>Journal of Parallel and Distributed Computing</i>.","ieee":"G. Schryen, “Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis,” <i>Journal of Parallel and Distributed Computing</i>, 2024.","ama":"Schryen G. Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. <i>Journal of Parallel and Distributed Computing</i>. 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A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems. <i>Transportation Research Procedia</i>. 2024;78:402-409. doi:<a href=\"https://doi.org/10.1016/j.trpro.2024.02.051\">10.1016/j.trpro.2024.02.051</a>","bibtex":"@article{Stumpe_2024, title={A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems}, volume={78}, DOI={<a href=\"https://doi.org/10.1016/j.trpro.2024.02.051\">10.1016/j.trpro.2024.02.051</a>}, journal={Transportation Research Procedia}, publisher={Elsevier BV}, author={Stumpe, Miriam}, year={2024}, pages={402–409} }","mla":"Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” <i>Transportation Research Procedia</i>, vol. 78, Elsevier BV, 2024, pp. 402–09, doi:<a href=\"https://doi.org/10.1016/j.trpro.2024.02.051\">10.1016/j.trpro.2024.02.051</a>.","chicago":"Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” <i>Transportation Research Procedia</i> 78 (2024): 402–9. <a href=\"https://doi.org/10.1016/j.trpro.2024.02.051\">https://doi.org/10.1016/j.trpro.2024.02.051</a>.","short":"M. Stumpe, Transportation Research Procedia 78 (2024) 402–409.","apa":"Stumpe, M. (2024). A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems. <i>Transportation Research Procedia</i>, <i>78</i>, 402–409. <a href=\"https://doi.org/10.1016/j.trpro.2024.02.051\">https://doi.org/10.1016/j.trpro.2024.02.051</a>","ieee":"M. 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Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).","ieee":"M. Stumpe, P. Dieter, G. Schryen, O. Müller, and D. Beverungen, “Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study,” <i>Transportation Research Part A: Policy and Practice</i>, 2024.","apa":"Stumpe, M., Dieter, P., Schryen, G., Müller, O., &#38; Beverungen, D. (2024). Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. <i>Transportation Research Part A: Policy and Practice</i>.","bibtex":"@article{Stumpe_Dieter_Schryen_Müller_Beverungen_2024, title={Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study}, journal={Transportation Research Part A: Policy and Practice}, author={Stumpe, Miriam and Dieter, Peter and Schryen, Guido and Müller, Oliver and Beverungen, Daniel}, year={2024} }","ama":"Stumpe M, Dieter P, Schryen G, Müller O, Beverungen D. Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. <i>Transportation Research Part A: Policy and Practice</i>. 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