@techreport{AndratschkeCeulloDawoudetal., author = {Andratschke, Christin and Ceullo, Laura and Dawoud, Belal and Draeger, Susan and Gerdes, Thorsten and Giebisch, Matthias and Grießhammer, Peter and Haas, Katharina and Haug, Sonja and Helling, Dominik and Kominis, Lena and Lang, Christian and Malz, Sebastian and Melzl, Johannes and Michlbauer, David and M{\"u}hlberger, Thomas and Nagl, Klaus and Preis, Michael and Rechenauer, Christian and Riederer, Michael and R{\"u}ckerl, Alexander and Saller, Tobias and Schnabl, Andreas and Stadler, Michael and Steffens, Oliver and Steininger, Peter and Stelzl, Andr{\´e} and Toutouly, Lovis and Trauner, Matthias and Vetter, Miriam and Walbrunn, Johannes and Weber, Karsten and Zielbauer, Lukas}, title = {MAGGIE: Energetische Modernisierung des genossenschaftlichen Wohnquartiers Margaretenau in Regensburg}, editor = {Steffens, Oliver}, address = {Regensburg}, isbn = {978-3-96256-100-0}, doi = {10.35096/othr/pub-5335}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-53354}, pages = {XVIII, 462 S.}, abstract = {Im Projekt MAGGIE wurden f{\"u}r das genossenschaftliche historische Stadtquartier „Margaretenau" in Regensburg Musterl{\"o}sungen f{\"u}r energieoptimiertes Wohnen mit innovativen Wandaufbauten aus solaraktiven Baukonstruktionen und einer vorhersagebasierten Versorgungstechnologie erforscht. Dazu wurde ein bestehendes Wohngeb{\"a}ude als Demonstrations- und Versuchsobjekt mit einem neuartigen, besonders effizienten Hybridsystem aus W{\"a}rmepumpentechnologie und Kraft- W{\"a}rme-Kopplung ausgestattet und untersucht, erg{\"a}nzt durch eine dynamische W{\"a}rmelogistik zur Verringerung von Verteilungsverlusten. Das System wurde durch ein neu entwickeltes, allgemein einsetzbares Planungs-, Optimierungs- und Steuerungstool ausgelegt und im Betrieb geregelt. Die in Echtzeit laufende Nachoptimierung des Systems w{\"a}hrend des Betriebs greift dabei auf reale Monitoringdaten zu. Die Einbindung von Nutzerbedarfsprofilen, Stromb{\"o}rse und Wetterdaten in die Steuerung gestattet einen dynamischen und perspektivischen Anlagenbetrieb zur Maximierung der Solar- und Umweltw{\"a}rme-Anteile der Energieversorgung und leistet damit einen wirksamen Beitrag zu einem emissionsarmen, klimafreundlichen Geb{\"a}udebetrieb. F{\"u}r die denkmalgerechte Modernisierung der historischen Fassaden wurde ein solaraktives und solaradaptives Außenputzsystem entwickelt und in der Realit{\"a}t getestet. Am Bestandsgeb{\"a}ude kam anstelle eines W{\"a}rmed{\"a}mmverbundsystems ein innovativer D{\"a}mmputz mit Mikrohohlglaskugeln zum Einsatz. Die Skalierbarkeit erlaubt eine abschnittsweise Modernisierung des gesamten Ensembles {\"u}ber mehrere Jahre. Durch die hohe Energieeffizienz wird die Warmmiete f{\"u}r die Bewohner der genossenschaftlichen Siedlung durch die Modernisierungsmaßnahmen nicht erh{\"o}ht, so dass auch nach der Modernisierung ein bezahlbares Wohnen sichergestellt wird.}, subject = {Altbaumodernisierung}, language = {de} } @techreport{AndratschkeCeulloDawoudetal., author = {Andratschke, Christin and Ceullo, Laura and Dawoud, Belal and Draeger, Susan and Gerdes, Thorsten and Giebisch, Matthias and Grießhammer, Peter and Haas, Katharina and Haug, Sonja and Helling, Dominik and Kominis, Lena and Lang, Christian and Malz, Sebastian and Melzl, Johannes and Michlbauer, David and M{\"u}hlberger, Thomas and Nagl, Klaus and Preis, Michael and Rechenauer, Christian and Riederer, Michael and R{\"u}ckerl, Alexander and Saller, Tobias and Schnabl, Andreas and Stadler, Michael and Steffens, Oliver and Steininger, Peter and Stelzl, Andr{\´e} and Toutouly, Lovis and Trauner, Matthias and Vetter, Miriam and Walbrunn, Johannes and Weber, Karsten and Zielbauer, Lukas}, title = {MAGGIE: Energetische Modernisierung des genossenschaftlichen Wohnquartiers Margaretenau in Regensburg}, editor = {Steffens, Oliver}, address = {Regensburg}, organization = {Ostbayerische Technische Hochschule Regensburg}, isbn = {978-3-96256-100-0}, doi = {10.35096/othr/pub-5901}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-59011}, pages = {XVIII, 462 S.}, abstract = {Im Projekt MAGGIE wurden f{\"u}r das genossenschaftliche historische Stadtquartier „Margaretenau" in Regensburg Musterl{\"o}sungen f{\"u}r energieoptimiertes Wohnen mit innovativen Wandaufbauten aus solaraktiven Baukonstruktionen und einer vorhersagebasierten Versorgungstechnologie erforscht. Dazu wurde ein bestehendes Wohngeb{\"a}ude als Demonstrations- und Versuchsobjekt mit einem neuartigen, besonders effizienten Hybridsystem aus W{\"a}rmepumpentechnologie und Kraft- W{\"a}rme-Kopplung ausgestattet und untersucht, erg{\"a}nzt durch eine dynamische W{\"a}rmelogistik zur Verringerung von Verteilungsverlusten. Das System wurde durch ein neu entwickeltes, allgemein einsetzbares Planungs-, Optimierungs- und Steuerungstool ausgelegt und im Betrieb geregelt. Die in Echtzeit laufende Nachoptimierung des Systems w{\"a}hrend des Betriebs greift dabei auf reale Monitoringdaten zu. Die Einbindung von Nutzerbedarfsprofilen, Stromb{\"o}rse und Wetterdaten in die Steuerung gestattet einen dynamischen und perspektivischen Anlagenbetrieb zur Maximierung der Solar- und Umweltw{\"a}rme-Anteile der Energieversorgung und leistet damit einen wirksamen Beitrag zu einem emissionsarmen, klimafreundlichen Geb{\"a}udebetrieb. F{\"u}r die denkmalgerechte Modernisierung der historischen Fassaden wurde ein solaraktives und solaradaptives Außenputzsystem entwickelt und in der Realit{\"a}t getestet. Am Bestandsgeb{\"a}ude kam anstelle eines W{\"a}rmed{\"a}mmverbundsystems ein innovativer D{\"a}mmputz mit Mikrohohlglaskugeln zum Einsatz. Die Skalierbarkeit erlaubt eine abschnittsweise Modernisierung des gesamten Ensembles {\"u}ber mehrere Jahre. Durch die hohe Energieeffizienz wird die Warmmiete f{\"u}r die Bewohner der genossenschaftlichen Siedlung durch die Modernisierungsmaßnahmen nicht erh{\"o}ht, so dass auch nach der Modernisierung ein bezahlbares Wohnen sichergestellt wird.}, subject = {Altbaumodernisierung}, language = {de} } @inproceedings{SchlalWickeZahneretal., author = {Schlal, Sebastian and Wicke, Markus and Zahner, Thomas and Lang, Kurt-J{\"u}rgen}, title = {Evaluation of thermal solder joint quality and thermal performance of PCBs by using standard measurement equipment}, series = {20th International Workshop on Thermal Investigations of ICs and Systems, 24-26 Sept. 2014, Greenwich, UK}, booktitle = {20th International Workshop on Thermal Investigations of ICs and Systems, 24-26 Sept. 2014, Greenwich, UK}, publisher = {IEEE}, doi = {10.1109/THERMINIC.2014.6972522}, pages = {1 -- 5}, abstract = {By using more powerful LEDs a good thermal management is becoming more and more important. Here usually the thermal interconnects have to be in focus. Therefore a simple and rapid measurement method for the thermal check of the solder joint in a high volume production is necessary. A standard thermal resistance measurement is very time consuming due to the calibration of each device. By using thermal characterized reference devices it is possible to skip the time consuming part. Furthermore, a simple methodology for evaluating the thermal performance of the various metal core PCB (MCPCB) materials and construction is required during development. In this paper we will present how we successfully demonstrated that this new method offers an opportunity to determine the thermal performance of a high power QFN LED on different types of isolated metal substrate (IMS) and with a standard SMU [1] (source measurement units).}, language = {en} } @inproceedings{StrassburgerGalkaLangetal., author = {Strassburger, Steffen and Galka, Stefan and Lang, Sebastian and Reggelin, Tobias}, title = {Introduction to the Minitrack on Simulation Modeling, Artificial Intelligence and Digital Twins for Decision Making in Production and Logistics}, series = {Proceedings of the 58th Hawaii International Conference on System Sciences, January 7-10, 2025, Honolulu, Hawaii}, booktitle = {Proceedings of the 58th Hawaii International Conference on System Sciences, January 7-10, 2025, Honolulu, Hawaii}, editor = {Bui, Tung}, publisher = {University of Hawaii at Manoa}, isbn = {978-0-9981331-8-8}, doi = {10.24251/HICSS.2025.205}, pages = {1677 -- 1678}, abstract = {The minitrack contains contributions with a focus on simulation modeling and digital twins and decision making in the context of Industry 4.0. The use of simulation models and digital twins is manifold, from planning to virtual commission and real-time operational decision support. Cyber-physical systems integrate the real world and the virtual world to enable decision making in the age of Industry 4.0. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions. Thus, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Methods include discrete-event simulation, discrete-rate simulation, hybrid simulation, system dynamics simulation, the combination of simulation modeling with machine learning or optimization heuristics, prescriptive analytics, and adaptive systems. Furthermore, this minitrack addresses simulation education and simulation models and digital twins used for education and training in manufacturing and logistics.}, language = {en} } @inproceedings{ReggelinGalkaIvanovetal., author = {Reggelin, Tobias and Galka, Stefan and Ivanov, Dmitry and Lang, Sebastian}, title = {Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0}, series = {Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS): 2021 Hawaii, USA}, booktitle = {Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS): 2021 Hawaii, USA}, publisher = {University of Hawai'i at Manoa Hamilton Library}, address = {Honolulu, HI}, isbn = {978-0-9981331-4-0}, doi = {10.24251/HICSS.2021.198}, pages = {1643 -- 1644}, abstract = {The minitrack contains contributions with a focus on modeling and decision making in manufacturing and logistics in the context of Industry 4.0. Cyber-physical systems integrate the real world and the virtual world. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions in terms of planning and controlling the manufacturing and logistics systems. In order to immediately respond to these dynamics, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Two of the Mintrack papers describe concepts and models for digital twins. One paper provides an adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems and one paper investigates matrix production systems and with their requirements and impacts on logistics planning.}, language = {de} } @inproceedings{RolfReggelinLangetal., author = {Rolf, Benjamin and Reggelin, Tobias and Lang, Sebastian and Galka, Stefan}, title = {Developing a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty}, series = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS55): January 3-7, 2022, Maui, Hawaii, USA}, volume = {2022}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS55): January 3-7, 2022, Maui, Hawaii, USA}, doi = {10.24251/HICSS.2022.247}, pages = {1964 -- 1973}, abstract = {Decision-making in supply chain management is complex because of the relations between planning tasks from different stages and planning levels. Uncertainties such as unpredictable supplier lead times and supply chain disruptions further complicate decision-making. Considering the case study of a company in printed circuit board assembly, a three-level concept is proposed that includes a decision support system. The global single-source supply network is characterized by highly variable lead times. Hence, the company maintains high inventory levels to prevent running out of stock. The decision support system considers the purchasing and scheduling decision problems in an integrated way. The prototypical implementation of the purchasing algorithm uses a genetic algorithm that recommends reorder days and order quantities using a simulation model. In addition, it evaluates the risks of the recommended solution by calculating the probability of stockouts for each order cycle.}, language = {en} } @inproceedings{ReggelinGalkaStrassburgeretal., author = {Reggelin, Tobias and Galka, Stefan and Strassburger, Steffen and Lang, Sebastian}, title = {Introduction to the Minitrack "Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0"}, series = {Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS), January 3-6, 2023, Lahaina, Hawaii}, booktitle = {Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS), January 3-6, 2023, Lahaina, Hawaii}, publisher = {ScholarSpace}, doi = {10.24251/HICSS.2023.179}, pages = {1436 -- 1437}, abstract = {The minitrack contains contributions with a focus on simulation modeling and digital twins and decision making in the context of Industry 4.0. The use of simulation models and digital twins is manifold, from planning to virtual commission and real-time operational decision support. Cyber-physical systems integrate the real world and the virtual world to enable decision making in the age of Industry 4.0. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions. Thus, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Methods include discrete-event simulation, discrete-rate simulation, hybrid simulation, system dynamics simulation, the combination of simulation modeling with machine learning or optimization heuristics, prescriptive analytics, and adaptive systems. Furthermore, this minitrack addresses simulation education and simulation models used for education and training in manufacturing and logistics.}, language = {en} } @inproceedings{GalkaStrassburgerLangetal., author = {Galka, Stefan and Strassburger, Steffen and Lang, Sebastian and Reggelin, Tobias}, title = {Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0}, series = {Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS), January3-6, 2024, Honolulu, Hawaii}, booktitle = {Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS), January3-6, 2024, Honolulu, Hawaii}, editor = {Bui, Tung}, publisher = {ScholarSpace}, isbn = {978-0-9981331-7-1}, doi = {10.24251/HICSS.2024.206}, pages = {1647 -- 1648}, abstract = {The minitrack contains contributions with a focus on simulation modeling and digital twins and decision making in the context of Industry 4.0. The use of simulation models and digital twins is manifold, from planning to virtual commission and real-time operational decision support. Cyber-physical systems integrate the real world and the virtual world to enable decision making in the age of Industry 4.0. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions. Thus, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Methods include discrete-event simulation, discrete-rate simulation, hybrid simulation, system dynamics simulation, the combination of simulation modeling with machine learning or optimization heuristics, prescriptive analytics, and adaptive systems. Furthermore, this minitrack addresses simulation education and simulation models used for education and training in manufacturing and logistics.}, language = {en} }