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Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire. <i>European Journal of Information Systems</i>. Published online 2025:1-25. doi:<a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">10.1080/0960085x.2025.2550403</a>","chicago":"Paré, Guy, Gerit Wagner, Mary Tate, Guido Schryen, and Mathieu Templier. “Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire.” <i>European Journal of Information Systems</i>, 2025, 1–25. <a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">https://doi.org/10.1080/0960085x.2025.2550403</a>.","ieee":"G. Paré, G. Wagner, M. Tate, G. Schryen, and M. Templier, “Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire,” <i>European Journal of Information Systems</i>, pp. 1–25, 2025, doi: <a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">10.1080/0960085x.2025.2550403</a>.","apa":"Paré, G., Wagner, G., Tate, M., Schryen, G., &#38; Templier, M. (2025). Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire. <i>European Journal of Information Systems</i>, 1–25. <a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">https://doi.org/10.1080/0960085x.2025.2550403</a>","mla":"Paré, Guy, et al. “Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire.” <i>European Journal of Information Systems</i>, Informa UK Limited, 2025, pp. 1–25, doi:<a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">10.1080/0960085x.2025.2550403</a>.","bibtex":"@article{Paré_Wagner_Tate_Schryen_Templier_2025, title={Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire}, DOI={<a href=\"https://doi.org/10.1080/0960085x.2025.2550403\">10.1080/0960085x.2025.2550403</a>}, journal={European Journal of Information Systems}, publisher={Informa UK Limited}, author={Paré, Guy and Wagner, Gerit and Tate, Mary and Schryen, Guido and Templier, Mathieu}, year={2025}, pages={1–25} }","short":"G. Paré, G. Wagner, M. Tate, G. Schryen, M. Templier, European Journal of Information Systems (2025) 1–25."},"department":[{"_id":"277"}],"user_id":"51811","_id":"61366","file_date_updated":"2025-09-18T13:04:14Z","type":"journal_article","status":"public"},{"year":"2025","citation":{"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>","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} }","ieee":"S. C. Burmeister, <i>Optimization Techniques for Sustainable Energy System Design</i>. LibreCat University, 2025.","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>.","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>"},"title":"Optimization Techniques for Sustainable Energy System Design","doi":"10.17619/UNIPB/1-2403","publisher":"LibreCat University","date_updated":"2025-10-22T06:18:37Z","date_created":"2025-10-22T06:13:50Z","author":[{"orcid":"0000-0001-6679-0453","last_name":"Burmeister","full_name":"Burmeister, Sascha Christian","id":"32685","first_name":"Sascha Christian"}],"abstract":[{"lang":"eng","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."},{"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.","lang":"eng"}],"status":"public","type":"dissertation","extern":"1","language":[{"iso":"eng"}],"_id":"61916","department":[{"_id":"277"}],"user_id":"32685"},{"oa":"1","date_updated":"2024-01-09T10:40:55Z","date_created":"2024-01-09T10:40:44Z","author":[{"first_name":"Guido","full_name":"Schryen, Guido","last_name":"Schryen"}],"title":"Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis","has_accepted_license":"1","year":"2024","citation":{"short":"G. Schryen, Journal of Parallel and Distributed Computing (2024).","bibtex":"@article{Schryen_2024, title={Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis}, journal={Journal of Parallel and Distributed Computing}, author={Schryen, Guido}, year={2024} }","mla":"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>.","chicago":"Schryen, Guido. “Speedup and Efficiency of Computational Parallelization: A Unifying Approach and Asymptotic Analysis.” <i>Journal of Parallel and Distributed Computing</i>, 2024.","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>. Published online 2024."},"_id":"50301","department":[{"_id":"277"}],"user_id":"51811","ddc":["000"],"file_date_updated":"2024-01-09T10:39:33Z","language":[{"iso":"eng"}],"publication":"Journal of Parallel and Distributed Computing","type":"journal_article","status":"public","file":[{"date_updated":"2024-01-09T10:39:33Z","date_created":"2024-01-09T10:39:33Z","creator":"mateskam","file_size":989773,"access_level":"open_access","file_id":"50375","file_name":"ParallelScalabilityAnalysis__Preprint.pdf","content_type":"application/pdf","relation":"main_file"}]},{"publication_identifier":{"issn":["2352-1465"]},"publication_status":"published","year":"2024","intvolume":"        78","page":"402-409","citation":{"ieee":"M. Stumpe, “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, pp. 402–409, 2024, 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>.","ama":"Stumpe M. 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>","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>","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>.","short":"M. Stumpe, Transportation Research Procedia 78 (2024) 402–409."},"publisher":"Elsevier BV","date_updated":"2024-02-27T11:29:37Z","volume":78,"author":[{"id":"64135","full_name":"Stumpe, Miriam","last_name":"Stumpe","first_name":"Miriam"}],"date_created":"2024-02-27T09:25:12Z","title":"A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems","doi":"10.1016/j.trpro.2024.02.051","publication":"Transportation Research Procedia","type":"journal_article","status":"public","_id":"52092","department":[{"_id":"277"}],"user_id":"51811","language":[{"iso":"eng"}]},{"author":[{"last_name":"Stumpe","id":"64135","full_name":"Stumpe, Miriam","first_name":"Miriam"},{"first_name":"Peter","last_name":"Dieter","full_name":"Dieter, Peter","id":"88592"},{"first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido","id":"72850"},{"full_name":"Müller, Oliver","id":"72849","last_name":"Müller","first_name":"Oliver"},{"first_name":"Daniel","last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel"}],"date_created":"2024-04-02T12:10:56Z","date_updated":"2024-04-02T12:29:47Z","oa":"1","title":"Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study","has_accepted_license":"1","citation":{"ama":"Stumpe M, Dieter P, Schryen G, Müller O, Beverungen D. 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Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).","apa":"Stumpe, M., Dieter, P., Schryen, G., Müller, O., &#38; Beverungen, D. (2024). 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Arman, “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction,” <i>Internet of Things</i>, vol. 25, Art. no. 101027, 2024, doi: <a href=\"https://doi.org/10.1016/j.iot.2023.101027\">10.1016/j.iot.2023.101027</a>.","mla":"Amiri, Arman, et al. “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction.” <i>Internet of Things</i>, vol. 25, 101027, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.iot.2023.101027\">10.1016/j.iot.2023.101027</a>.","short":"A. Amiri, M. Tavana, H. Arman, Internet of Things 25 (2024).","bibtex":"@article{Amiri_Tavana_Arman_2024, title={An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}, volume={25}, DOI={<a href=\"https://doi.org/10.1016/j.iot.2023.101027\">10.1016/j.iot.2023.101027</a>}, number={101027}, journal={Internet of Things}, publisher={Elsevier BV}, author={Amiri, Arman and Tavana, Madjid and Arman, Hosein}, year={2024} }","apa":"Amiri, A., Tavana, M., &#38; Arman, H. (2024). An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction. <i>Internet of Things</i>, <i>25</i>, Article 101027. <a href=\"https://doi.org/10.1016/j.iot.2023.101027\">https://doi.org/10.1016/j.iot.2023.101027</a>"},"intvolume":"        25","year":"2024","publication_status":"published","publication_identifier":{"issn":["2542-6605"]},"doi":"10.1016/j.iot.2023.101027","title":"An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction","date_created":"2024-04-04T13:34:26Z","author":[{"full_name":"Amiri, Arman","last_name":"Amiri","first_name":"Arman"},{"first_name":"Madjid","last_name":"Tavana","id":"31858","full_name":"Tavana, Madjid"},{"last_name":"Arman","full_name":"Arman, Hosein","first_name":"Hosein"}],"volume":25,"publisher":"Elsevier BV","date_updated":"2024-04-15T13:08:17Z","status":"public","type":"journal_article","publication":"Internet of Things","language":[{"iso":"eng"}],"article_number":"101027","keyword":["Management of Technology and Innovation","Artificial Intelligence","Computer Science Applications","Hardware and Architecture","Engineering (miscellaneous)","Information Systems","Computer Science (miscellaneous)","Software"],"user_id":"51811","department":[{"_id":"277"}],"_id":"53213"},{"department":[{"_id":"277"}],"user_id":"51811","_id":"53212","language":[{"iso":"eng"}],"keyword":["Industrial and Manufacturing Engineering","Hardware and Architecture","Software","Control and Systems Engineering"],"publication":"Journal of Manufacturing Systems","type":"journal_article","status":"public","volume":72,"author":[{"first_name":"Ehsan","last_name":"Mahmoodi","full_name":"Mahmoodi, Ehsan"},{"first_name":"Masood","full_name":"Fathi, Masood","last_name":"Fathi"},{"last_name":"Tavana","id":"31858","full_name":"Tavana, Madjid","first_name":"Madjid"},{"first_name":"Morteza","last_name":"Ghobakhloo","full_name":"Ghobakhloo, Morteza"},{"last_name":"Ng","full_name":"Ng, Amos H.C.","first_name":"Amos H.C."}],"date_created":"2024-04-04T13:33:48Z","date_updated":"2024-04-15T13:08:02Z","publisher":"Elsevier BV","doi":"10.1016/j.jmsy.2023.11.019","title":"Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing","publication_identifier":{"issn":["0278-6125"]},"publication_status":"published","page":"287-307","intvolume":"        72","citation":{"apa":"Mahmoodi, E., Fathi, M., Tavana, M., Ghobakhloo, M., &#38; Ng, A. 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Ng, Journal of Manufacturing Systems 72 (2024) 287–307.","mla":"Mahmoodi, Ehsan, et al. “Data-Driven Simulation-Based Decision Support System for Resource Allocation in Industry 4.0 and Smart Manufacturing.” <i>Journal of Manufacturing Systems</i>, vol. 72, Elsevier BV, 2024, pp. 287–307, doi:<a href=\"https://doi.org/10.1016/j.jmsy.2023.11.019\">10.1016/j.jmsy.2023.11.019</a>.","bibtex":"@article{Mahmoodi_Fathi_Tavana_Ghobakhloo_Ng_2024, title={Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing}, volume={72}, DOI={<a href=\"https://doi.org/10.1016/j.jmsy.2023.11.019\">10.1016/j.jmsy.2023.11.019</a>}, journal={Journal of Manufacturing Systems}, publisher={Elsevier BV}, author={Mahmoodi, Ehsan and Fathi, Masood and Tavana, Madjid and Ghobakhloo, Morteza and Ng, Amos H.C.}, year={2024}, pages={287–307} }","ieee":"E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. 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