238 research outputs found
Experimental Data for: Manufacturing of irregular shapes through force control in incremental sheet forming with active medium
No full textExperimental data of convex truncated pyramids and cones for the manuscript "Manufacturing of irregular shapes through force control in incremental sheet forming with active medium" by Thiery et al. (2024
Entwicklung und Einsatz eines Entscheidungsunterstützungssystems in der Verkehrszentrale einer Fluggesellschaft
No full textFaktoren wie Globalisierung, Liberalisierung und verbesserte Produktionsfaktoren fungieren in
den letzten Jahrzehnten als Treiber für ein kontinuierliches Wachstum im kommerziellen Luftverkehr.
Dementsprechend ist auch die Steuerung des operativen Betriebes der einzelnen Fluggesellschaften
durch ihre Verkehrszentralen immer komplexer und aufwändiger geworden. Störereignisse
und deren Auswirkungen treffen die im starken Wettbewerb stehenden Fluggesellschaften
heute härter denn je zuvor, so dass ein dringender Bedarf zur besseren Unterstützung von
Entscheidungen innerhalb der Verkehrszentrale zur Reduktion von zusätzlichen Kosten existiert.
Im Rahmen der vorliegenden Arbeit werden methodische Ansätze diskutiert, um die bisher überwiegend
theoretisch existierenden und kaum genutzten Entscheidungsunterstützungssysteme zu
praxistauglichen Systemen auszubauen. Insbesondere aus technologischer und funktionaler Sicht
sind trotz der intensiven Forschung in den letzten 30 Jahren keine großen Veränderungen zu registrieren,
da Annahmen über die unternehmerische Praxis regelmäßig zu sehr vereinfacht und
zu wenig verallgemeinert werden.
Durch die vorliegende Arbeit werden die Aufgaben, Organisationsgestaltung sowie Informationsund
Kommunikationssysteme innerhalb der Verkehrszentrale systematisch dargestellt. Sowohl
die Identifikation von Handlungsoptionen sowie den Rahmenbedingungen und dem Zusammenspiel
einzelner Akteure sind von zentraler Bedeutung, um zu verstehen, wie Funktionsbereiche
und Entscheider ihre täglichen Aufgaben erfüllen. Aufbauend auf diesen Erkenntnissen werden
relevante Anwendungsfälle und Anforderungen abgeleitet.
Gerade die Vielzahl möglicher Modelle und Algorithmen aus dem Bereich der mathematischen
Optimierung, welche bereits durch die Forschungsarbeiten thematisiert worden sind, werden erneut
durch diese Arbeit bewertet und weiterführend analysiert. Denn nur allgemeingültige und
flexible Ansätze können dabei unterschiedlichen Fluggesellschaften mit möglichst geringen Anpassungen
adressieren.
Die Ergebnisse dieser Arbeit stützen sich zum großen Teil auf den Erkenntnissen, die im Rahmen
eines vierjährigen Forschungsprojektes mit einem aus mehreren verschiedenen Fluggesellschaften
bestehenden Konzern erarbeitet wurden. Im Rahmen der Kooperation ist als Ergebnis ein
praxistaugliches Entscheidungsunterstützungssystem auf Basis dieser Arbeit entstanden, welches
sich bereits parallel in zwei Verkehrszentralen des Forschungspartners im produktiven Betrieb befindet.
Damit das Tool für weitere Fluggesellschaften innerhalb des Konzerns einfach ausgerollt
werden kann, wurde die Optimierungslogik soweit wie möglich mittels eines Geschäftsregel-
Managementsystems entkoppelt
Green toxicology and biofuels : ecotoxicological tools for sustainable biofuel development
No full textThe increasing industrialization and growth of population has led to an increase in the global energy and fuel demand, particularly in the transportation sector. However, the use of established fossil fuels, such as petroleum-derived diesel fuels, also poses a significant risk for the environment and the global climate. Therefore, research and development on alternative and renewable fuels is increasing rapidly. Biomass-derived fuels, so called biofuels, represent a promising alternative to fossil fuels. Biofuels are assumed to be more environmental friendly and sustainable than fossil fuels, particularly as they reduce greenhouse gas emissions, which are a positive influence on the global climate,. However, an important factor, the toxicity of these novel fuels, is often not considered. While the toxic potency of fossil fuels is largely known, almost no information with regard to the toxicity of biofuels is available. Results on the toxic potency of biofuel candidates can be integrated in the fuel development process and provide important information on potentially hazardous biofuels. Therefore, the aim of the present research was to investigate the applicability of an effect-based “Green Toxicology” approach as part of the development of novel biofuels within the DFG Cluster of Excellence “Tailor-made Fuels from Biomass” (TMFB). The potential biofuels investigated in this “Green Toxicology” approach were the furan 2-Methylfuran (2-MF), the tetrahydrofurans 2-Methyltetrahydrofuran (2-MTHF), 3-Methyltetrayhydrofuran (3-MTHF) and 2-Butyltetrahydrofuran (2-BTHF), the ether Di-n-butyl ether (DNBE), the ketones Methyl isopropyl ketone (MIPK) and 2-Butanone (MEK), the alcohol 1-Octanol (1-Oct), and the biohybrid fuels Dimethoxymethane (DMM) and Diethoxymethane (DEM). The testing of these biofuel candidates required a number of adaptions to the standardized test systems due to some special phyisco-chemical properties, which have been identified in the first part of this thesis. Briefly, the high volatility of some biofuel candidates as well as their tendency to solve plastics were addressed in modifications of the test systems, e.g., by sealing test systems and replacing plastic materials with glass materials. Methods for chemical analyses of the actual concentrations were established for validation of these modifications. In the second part of this research, toxicity testing of the biofuel candidates was performed with regard to their acute toxicity for Daphnia magna and Danio rerio as well as their genotoxicity for V79 cells was performed. The modified acute immobilisation assay with Daphnia magna and the modified Fish Embryo Toxicity (FET) test with Danio rerio embryos provide important information on the relative aquatic toxic potency of the biofuel candidates. The biofuel candidates 1-Oct, DNBE, 2-BTHF and 2-MF were found to induce a strong acute toxic potency. Moreover, 1-Oct and 2-MF induced very strong genotoxic effects, with 2-MF being the most potent inducer. 2-MTHF, 3-MTHF, MIPK, MEK, DMM and DEM induced only weak toxic effects in high concentrations that are not biologically relevant. Therefore, it is recommended that further biofuel development focus on the latter biofuel candidates that exhibited weaker toxic effects. Besides the investigation into the toxic potency of the biofuel candidates, two in silico prediction tools, the OECD QSAR-Toolbox and the Ecological Structure Activity Relationship (ECOSAR) predictive model, were investigated with regard to their applicability as part of the “Green Toxicology” approach. The OECD QSAR toolbox was used for the prediction of biofuels with high risks with respect to their ability to induce genotoxicity based on structural characteristics of the investigated substances and their metabolites. However, a comparison of experimental and predicted results from QSAR toolbox revealed discrepancies between the predicted and the observed genotoxicity of the biofuel candidates; the ECOSAR predictive model was used for prediction of the aquatic toxicity of the biofuel candidates, but it was found to overestimate the toxicity of many substances. Nonetheless, the ECOSAR predictive model could still be used estimating for an initial screening of new substances that might require experimental testing. In addition to the toxicity assessment of the biofuel candidates, methods for a reliable investigation of established fossil reference fuels, such as diesel fuel, were investigated. Fossil fuels are complex mixtures that cannot easily be tested in (eco)toxicological test systems. This challenge was addressed by establishing a passive dosing approach facilitated by silicone tubes in an aqueous phase/exposure system. Results from the passive dosing approach indicated a significantly lower toxicity of all biofuel candidates compared to fossil fuels for daphnids exposures. However, further improvements to this passive dosing approach, in particular with regard to the chemical analyses, are required. The results of the present research demonstrate that effect-based bioassays can provide important information for biofuel development and that a “Green Toxicology” approach can be successfully integrated into the fuel design process. The identification of the potentially hazardous biofuel candidates 2-MF, 1-Oct, DNBE and 2-BTHF suggest that focus should be towards the much less toxic biofuel candidates 2-MTHF, 3-MTHF, MIPK, MEK, DMM and DEM
Information Systems Design Knowledge for Sustainable Development Along a Social-Technical Continuum
No full textAchieving a more sustainable lifestyle is one of the most important challenges of the 21st century. Sustainable development, therefore, is one of the key objectives also for industrial nations such as Germany. Sustainable development is defined as the "development that meets the needs of the present without compromising the ability of future generations to meet their own needs" (WCED 1987, Chapter 2). This development, however, is not only based on environmental dimensions but also on economic and social dimensions. These are known as the three pillars of sustainability.
According to the Global Sustainable Development Report (Messerli et al. 2019), there are four levers of transformation being most important to achieve sustainable development, one of which is science and technology. Information systems (IS) research investigates the application of information technology in organizational settings (Hevner et al. 2004). IS research considers itself as a socio-technical discipline (Briggs et al. 2010), which should investigate IS-related issues along a social-technical continuum (Sarker et al. 2019). In recent times, the field is discussing more intensively the application of IS for sustainability purposes (e.g., Melville 2010; Watson et al. 2010; Henkel and Kranz 2018). However, IS scholars claim for more work to be done regarding sustainable development (Seidel et al. 2017; Gholami et al. 2016; Parmiggiani and Monteiro 2018) and to develop knowledge along the social-technical continuum (Sarker et al. 2019).
For this reason, the aim of this dissertation is to develop knowledge for IS to achieve sustainable development from different socio-technical perspectives. Therefore, this work applies pluralistic methodological approaches (qualitative methods, e.g., semi-structured interviews, and quantitative methods, e.g., data collection from a field study or online experiments). The theoretical contribution of this dissertation expands existing design knowledge in the field of IS for sustainability. Following Gregor and Hevner (2013), design knowledge can be grouped into two types: descriptive and prescriptive knowledge. On the one hand, descriptive knowledge contributes to the knowledge about natural phenomena and the sense-making relationships between phenomena (what). Descriptive knowledge provides the scientific base for the world we live in. On the other hand, prescriptive knowledge contributes to the knowledge about man-made artifacts to improve our world (how). Design theories are an abstract and coherent body of knowledge, which include both types of knowledge (Gregor and Hevner 2013). Overall, this work takes three different perspectives to develop both types of knowledge: the socio-technical perspective, the sociocentric perspective, and the technocentric perspective.
First, to contribute to the socio-technical perspective, this thesis presents new approaches to analyze and improve individual driving behavior in individual road traffic. Personal traffic accounts for approximately 11% of carbon dioxide (CO2) emissions globally (Andor et al. 2020). Environmental driving behavior, therein, has a significant impact on the fuel consumption of vehicles (Lárusdóttir and Ulfarsson 2014), and reductions of fuel consumption up to 30% are possible. One promising approach to improve individual driving behavior is the application of eco-feedback to the driver. Therefore, this thesis presents prescriptive knowledge in the form of design artifacts for mobile eco-driving feedback information systems (EDFIS), which results from justificatory knowledge, a prototypical instantiation of a mobile EDFIS, and its application within a field study. The results indicate that eco-feedback affects environmentally friendly driving behavior. However, eco-feedback seems not to address all aspects of eco-driving behavior. Nowadays, the Internet-of-Things (IoT) has reached cars, and ever more embedded sensors allow for rich data analysis of individual driving behavior. Therefore, this thesis presents a factor model describing IoT-measured individual driving behavior to handle the resulting amount of IoT-data and analyzes the effect of eco-feedback on individual driving behavior.
Second, to contribute to the sociocentric perspective, this thesis presents design knowledge on how to design social media platforms in order to counteract so-called fake news. Such misleading information – which has always been a problem but has recently found nutritious ground in social media – poses a major threat. In recent times, fake news is spread to impact political decision-making and elections. However, fake news is not only a challenge for politics but also for ecologically and economically sustainable development. For instance, fake news is spread to influence financial markets in order to affect the financial value of stocks and options (Maasberg et al. 2018). Furthermore, fake news is a popular means to undermine climate change, which in reality requires significant changes in the individual and collective behavior of people (van der Linden et al. 2017). This thesis presents two new approaches to empower people individually to recognize and report misleading information to counteract the spread of fake news. Firstly, related articles are an appropriate tool to improve social media users' ability to recognize fake news as such. Especially, the application of controversial related articles shows the best results. Secondly, social norm messages are an appropriate tool to encourage social media users to report fake news. This allows social media providers to effectively identify and remove misleading and deceptive information from their platforms.
To contribute to the third and last, technocentric perspective, this thesis presents a new approach to analyze and design lean, digitally supported value creation processes in companies and organizations. In the light of ever more connected entities and the diffusion of digital technologies, innovative information flows enable various potentials in value creation processes and allow minimizing waste. For instance, rich information availability allows production with fewer resources or the more accurate usage of perishable materials. The presented Value Stream Modeling and Notation (VSMN) constitutes a domain-specific modeling language, which supports designers of economically sustainable value creation processes in times of digitalization. For evaluation purposes, we present, among others, the results of the application of VSMN while designing lean material logistics processes in hospitals. The results also constitute prescriptive knowledge for material logistic processes in hospitals, which are more efficient due to the targeted use of digital technologies.
To sum up, this dissertation presents design knowledge – including both types, descriptive and prescriptive knowledge – and contributes to the knowledge base about IS for sustainability (Gholami et al. 2016; Seidel et al. 2017; Parmiggiani and Monteiro 2018) and sustainable development (Messerli et al. 2019). In addition, the thesis develops design knowledge along the social-technical continuum (Sarker et al. 2019). Using methodological pluralistic (qualitative and quantitative) approaches allows an extension of the existing knowledge from different perspectives (Venkatesh et al. 2013). Overall, the results of this thesis contribute to overcoming one of the greatest challenges of mankind and the greatest challenge of the 21st century
Zukunftsbild Langsam -- Landnutzungswandel und Böden
No full textWissenschaftler:innen beschreiben auf Basis aktueller Forschungsergebnisse und Studien, wie eine nachhaltige Welt aussehen könnte. Dies ist keine Vorhersage oder Modellierung, sondern es sind Beschreibungen dieser Welt von Menschen, die sich intensiv mit Lösungsmöglichkeiten beschäftigen. Neben einem Weiter-so-Bild (Titel: „Langsam“) werden daher drei verschiedene Zukünfte geschildert (Titel: „Groß“, „Fokussiert“ und „Graswurzel“). Diese benennen auch Beispiele der Maßnahmen mit denen soziale Ziele erreicht und planetare Grenzen (zum Beispiel Pariser Klimaziele oder Biodiversitätsziele) eingehalten werden können.
Die hier bereitgestellten Texte wurden von unabhängigen Wissenschaftler:innen geprüft (wissenschaftliches Review). Nach einer journalistischen Bearbeitung sollen sie auch einem nichtwissenschaftlichen Publikum zugänglich gemacht werden.
Diese Datei dokumentiert nur eine (von über 40) perspektivischen und thematischen Facetten in einem (von vier) Zukunftsbilderrahmen. Andere Texte finden sich in der community ‘Zukunftsbilder’
Supplements for "Solvent Accessibility Promotes Rotamer Errors During Protein Modelling with Major Side-Chain Prediction Programs"
No full textSupplements for "Solvent Accessibility Promotes Rotamer Errors During Protein Modelling with Major Side-Chain Prediction Programs"
This supplement includes the following files:
Main.R --- Script in R language to process files (in "pdb.zip") and produce the datasets ("Datasets.zip")
functions.zip --- supplementary functions to the R script (in "Main.R")
pdb.zip --- PDB files include filtered structures processed by three programs
Datasets.zip --- Three versions of dataset produced in R language (by "Main.R"). The first two versions may contain unfiltered structures
The article featuring this dataset is submitted to:
Journal: Journal of Chemical Information and Modeling
Manuscript ID: ci-2023-00134a
Title: "Solvent Accessibility Promotes Rotamer Errors During Protein Modelling with Major Side-Chain Prediction Programs"
Author(s): Hameduh, Tareq; Mokry, Michal ; Miller, Andrew ; Heger, Zbynek; Haddad, YazanThis work was supported by Internal Grant Agency of Mendel University in Brno [AF-IGA2022-IP-081]; Czech Health Research Council [NU21J-08-00043]; Czech Science Foundation [22-14568S]; Czech Ministry of Education, Youth and Sports OPVVV Project FIT (Pharmacology, Immunotherapy, nanoToxicology) [CZ.02.1.01/0.0/0.0/15_003/0000495] awarded to ADM with financial support from the European Regional Development Fund
Zukunftsbild Graswurzel – Landnutzungswandel und Böden
No full textMit vielfältigen Initiativen haben die Leute ihre Städte begrünt. Sie freuen sich an Gemeinschaftsgärten und essen vor allem, was in der Region gut wächst. Umweltschädliche Monokulturen und die Massentierhaltung sind abgeschafft. Die Böden erholen sich.
–
Projekt Zukunftsbilder: Wissenschaftler:innen stellen auf Basis aktueller Forschungsergebnisse und Studien dar, wie eine nachhaltige Welt aussehen könnte. Dieser Text beschreibt eine von über 40 Facetten des Lebens und Wirtschaftens in einem von vier Zukunftsbildern. Weitere Texte finden sich in der Zenodo-Community des Projekts ‘Zukunftsbilder’. Neben einem Weiter-so-Bild (Titel: „Langsam“) werden drei verschiedene positive Zukünfte geschildert (Titel: „Groß“, „Fokussiert“ und „Graswurzel“), die soziale Ziele erreichen und planetare Grenzen (zum Beispiel die Pariser Klimaziele oder Biodiversitätsziele) einhalten.
Unsere Texte sind keine formellen wissenschaftlichen Zukunftsszenarien, sondern Beschreibungen von möglichen Zukünften. Sie wurden gemeinsam von Wissenschaftler:innen und Menschen aus sozialen Bewegungen erarbeitet und von Wissenschaftler:innen begutachtet. Die Texte stellen die Sichtweise der Autor:innen dar und sind nicht innerhalb aller beteiligten Organisationen abgestimmt. Das Projekt dient dazu, eine neue, konstruktive Diskussion um unsere Zukunft mit möglichst vielen Menschen anzuregen. Mehr Informationen unter www.zukunftsbilder.net.
Bitte die aktuellste Version beachten
Simulation in Produktion und Logistik 2025: 21. ASIM-Fachtagung
No full textAus dem Vorwort: Vor dem Hintergrund sich stetig ändernder Rahmenbedingungen muss Bewährtes regelmäßig hinterfragt werden. Aus diesem Anspruch leitet sich das Leitthema „Schlüsselrolle Simulation: Wandel gestalten. Herausforderungen meistern.“ der diesjährigen Fachtagung ab, wobei die ausgewählten Beiträge Denkanstöße zur
Lösung der damit verbundenen, vielfältigen Aufgaben liefern. So wird dann auch der Stellenwert der Simulation deutlich: Neue Technologien werden erst erfolgreich
Einzug in die Praxis finden, wenn deren Leistungsfähigkeit verlässlich vorhergesagt und fortwährend überprüft werden kann.:1: Integration einer VDA 5050 konformen Leitsteuerung in ein Simulationsmodell für AGV-Systeme
Bertgen, Kevin; Kexel, Marec; Wincheringer, Walter
2: Hybrid Simulation for Energy-Oriented Production Scheduling: Linking Material Flow Simulation and Constraint Programming for a Semiconductor Front-end Use Case
Terbrack, Hajo
3: Potenziale von Large Language Models zur Unterstützung der Modellierung von Simulationseingabedaten
Feldkamp, Niclas; Bergmann, Sören; Anthwal, Aviral
4: A Comparative Simulation Study of Deep Reinforcement Learning and Dispatching Rules for a Complex Job Shop
Zhou, Zhugen; Rose, Oliver
5: Agent-Based Simulation for Energy-Aware Production Scheduling: A Structured Practical Guide
Altendorfer, Klaus; Bokor, Balwin; Seiringer, Wolfgang
6: Direct handling between vessels and trucks: skipping storage of containers at seaport terminals
Nellen, Nicole; Kastner, Marvin; Jahn, Carlos
7: Sensitivity analysis of EncodedRL: Assessing the impact of state compression levels on dynamic scheduling performance
Heik, David; Bahrpeyma, Fouad; Reichelt, Dirk
8: Towards Reproducible Benchmarking in Warehouse Logistics: An Open-Source Simulation Framework
Heik, David; Bahrpeyma, Fouad; Reichelt, Dirk
9: Auf dem Weg zu nachhaltiger Reverse Logistics: Twin Transition mit Hilfe von Simulation in Closed-Loop Supply Chains
Rüffer, Jenny; Leißau, Madlene; Laroque, Christoph
10: A Simulation Framework to Study Partial Observability in Production Planning and Control with Reinforcement Learning
Polikarpov, Mikhail; Syberg, Marius; West, Nikolai; Deuse, Jochen
11: Introducing the Bosch Factory Simulation Library: Enabling organizations to use material flow simulation efficiently
Lechler, Tobias; Meyer, Carsten
12: Simulation getakteter Montagelinien - Ein modularer Ansatz zur Optimierung variantenreicher Montageprozesse
Kolb, Anastasia; Kexel, Marec; Wincheringer, Walter
13: Smarte simulative Produktionssteuerung im Kontext eines digitalen Zwillings für kleine und mittelständische Unternehmen
Robl, Laura; Jagusch, Konrad; Sender, Jan
14: Automated Creation of Digital Twins for Production Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews
Schipper, Lennart; Schwede, Christian
15: At Odds by Design: How Integration Barriers Shape Immersive Digital Twin Systems
Rössl, Adrian; Leißau, Madlene; Laroque, Christoph
16: Simulation-Based Analysis of Conflicting Objectives of Quay Cranes and Terminal Trucks at Container Terminals
Witte, Svenja; Möhle, Florian; Ilenburg, Simon; Lödding, Hermann; Jahn, Carlos
17: Development of a Simulation Library for Material Flow Modelling in the Special Purpose Machinery Building Industry
Ganesh, Purushothaman; Schütz, Sebastian; Gühr, Felix; Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian
18: Simulation study on battery management for AGVs deployed in a sheet metal production
Dilefeld, Maximilian; Claus, Thorsten; Herrmann, Frank; Schmidt, Thorsten; Teich, Enrico
19: Studie zur Nutzung von Entscheidungsunterstützungssystemen in der Produktionslogistik
Langenbach, Katharina; Hochkamp, Florian; Rabe, Markus
20: Digitaler Wertstromzwilling eines europäischen Produktionsnetzwerks unter Nutzung von Submodellen der Verwaltungsschale
Spieckermann, Sven; Stauber, Stephan; Bär, Thomas
21: Simulation-based Reinforcement Learning for Production Job Control
Rükgauer, Andreas
22: Production Simulation using Bayesian Networks as Input Models
Matthes, Marvin; Krockert, Martin; Munkelt, Torsten; Völker, Sven
23: LLM-supported Usage of Simulation and Optimization in Production Planning
Korth, Merlin; Leonard, Overbeck; Martin, Benfer; Gisela, Lanza
24: An interactive collaborative approach to Virtual Commissioning including Cloud-Hosting and Extended Reality
Kunz, David; Schobert, Marvin; Franke, Jörg; Wünsch, Georg; Spielmann, Christoph; Wetter, Nestor; Weißer, Tom
25: Flexibilisation of Intra-port Container Transport with Time Slot Bookings
Lange, Ann-Kathrin; Grafelmann, Michaela; Jahn, Carlos
26: AI-Driven Digital Twin Architecture for Forestry Logistics Planning
Westlund, Karin; Ng, Amos H.C.
27: Reducing Power Peaks and Energy Consumption in Stacker Crane Operation – a Parametrized Optimization Approach
Zöllner, Rico; Handrich, Konrad; Schmidt, Thorsten
28: Automatic Model Generation for Resource Management in Less-Than-Truckload Terminals
Mowe, Maximilian; Jurgeleit, Lasse; Clausen, Uwe
29: Robustes Design modularer Montagesysteme – ein Data-Farming-basierter Ansatz
Bergmann, Sören; Ehrle, Steven
30: Accelerating the Simulation of AMR Fleets Using VDA5050 and Multi-Core Simulation
Schlecht, Michael; Habenicht, Ilka; Siegl, Leon; Jansma, Fred; Bornemann, Tobias
31: mecos – Ein modulares Simulationsmodell zur Optimierung der sanitätsdienstlichen Rettungskette
Meisner, Kai; Pappert, Falk Stefan; Uhlig, Tobias; Rose, Oliver
32: A Modern Perspective on Visualizing Medical Evacuation Chain Simulations
Uhlig, Tobias; Mohr, David; Pappert, Falk; Meisner, Kai; Rose, Oliver
33: Generalisierungseigenschaften eines Multi-Agenten-Reinforcement-Learning-Ansatzes zur Steuerung von Portalrobotern
Hinrichs, Jannik F.; Zisgen, Horst; Meranius, Markus
34: Experiment-as-a-Service: Ein Konzept für die betriebsbegleitende Simulation
Müller, Enno; Knothe, Thomas
35: Automated layout creation in production planning - Methodical investigation of algorithms for layout generation and optimization
Rechkemmer, Dirk; Benfer, Martin; Lanza, Gisela
36: Methodology for the Design and Execution of Simulation Experiments Based on Synthesised Structural Variation for Models in Production and Logistics
Özkul, Felix; Sutherland, Robin; Hentschel, Andreas; Wenzel, Sigrid; Winkels, Jan; Löhn, Jannik; Rehof, Jakob
37: Assessment of supply chain designs considering uncertain risks via a Monte Carlo simulation
Zou, Shixin; Witthaut, Markus
38: Discrete-Event Simulation for improving coupled production and energy systems
Sokoll, Annsophie; Buning, Bernd; Schäfer, Simon F.; Dickel, Kilian; Herrmann, Christoph
39: CraneFlow: An Open-Source Python Framework for Modelling Bridge and Gantry Cranes
Betker, Vincent; Schmidt, Thorsten; Kühn, Mathias
40: Einsatz von bestärkendem Lernen in der Reihenfolgeplanung mit dem Ziel der platzeffizienten Produktion
Müller, Kristin; Heger, Jens
41: Stellhebel und Potenziale zur energetischen Optimierung von Produktionssystemen
Häfner, Luise; Kunnari, Aatu; Straßburger, Steffen
42: Optimum Probability Distribution versus Heuristic Probability Distribution in Continuous Resource Constrained Project Scheduling Problems
Handrich, Konrad; Zöllner, Rico; Kühn, Mathias; Schmidt, Thorsten
43: A Graph Database Approach for Supporting Knowledge-Driven and Simulation-Based Optimization in Industry and Academia
Mittermeier, Ludwig; Ng, Amos; Senington, Richard; Jeusfeld, Manfred
44: Design criteria for automated simulation model generation
Safari, Omid; Grobis, Maxi; Münnich, Marc
45: Systematik zur planungsbegleitenden Simulation bei der Konzeptplanung von Produktionssystemen – Ein Anwendungsfall aus der Elektrolysestack-Produktion
Weigert, Alexander; Galka, Stefan
46: Simulative Analyse für die Rekonfiguration von Plug-and-Produce-Produktionssystemen unter Anwendung des NSGA-II-Algorithmus
Prüfer, Ole Christian; Heger, Jens
47: Einsatz von Digitalen Zwillingen für die operative Steuerung von innerbetrieblichen Transportsystemen
Galka, Stefan; Meißner, Sebastian
48: Towards Accurate Modelling of Queueing Behaviour in Hybrid Checkout Systems in Grocery Retail: A Simulation-Based Approach
Godow, Jérôme; Schäfer, Lennart; Staritz, Johannes; Güzel, Kevin; von Viebahn, Christoph
49: Enhancing Information Extraction for Simulation Modelling Using Large Language Models
Brunschwiler, Marco; Hollenstein, Lukas; Kunz, Dominik; Wehrli, Samuel
50: Optimization of Material Flows in Intralogistics Using Deep Reinforcement Learning for Autonomous Transport Systems
Jelibaghu, Mustafa; Eley, Michael; Rose, Oliver; Leontidou, Eleni
51: Learning-Based and Heuristic Coordination of Dispatch and Charging Agents in Automated Transport Systems
Jelibaghu, Mustafa; Eley, Michael; Rose, Oliver; Palatnik, Alexander; Leontidou, Eleni; Leontidou, Nikoleta
52: BPMN2.0 for the formal specification of discrete event simulation models
Schobert, Marvin; Gmeiner, Christian; Schuderer, Peter; Franke, Jörg
53: The effects of pre-arrival vessel prioritization strategies for port call coordination
Oberhauser Tavares Braga, João Pedro; Kastner, Marvin; Derin, Yasemin; Jahn, Carlos
54: DCign - Framework for Energy-related Modeling and Simulation of DC-Based Production Systems
Barth, Martin; Gutwald, Benjamin; Herkel, Philipp; Enser, Philipp; Mayr, Sebastian; Reichenstein, Tobias; Franke, Jörg
55: Konzeptionierung und Integration eines KI- basierten Autoklavenmodells in ein simulationsbasiertes Entscheidungsunterstützungssystem in der Kalksandsteinproduktion
Schrage, Tobias; Schuderer, Peter; Barth, Martin; Franke, Jörg
56: Simulation-Based Forecast Optimization for Sporadic Demand in Capital Goods
Schmid, Alexander; Peralt Bonell, Marcel; Sobottka, Thomas; Sihn, Wilfried
57: Automatisierte Generierung von Simulationsmodellen für Produktions- und Logistikprozesse mithilfe LLM-basierter Multi-Agenten-Systeme
Krämer, Roman; Heger, Jen
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