Publication Server of FIR at RWTH Aachen University
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SPS Technology: KI im Service
No full textIm Vortrag geht es um KI im Service und deren Adaptionspotenziale
mFUND-Konferenz Fachforum Alternative Antriebe: Projektvorstellung DRivE
No full textIn den Präsentationsfolien wird das Forschungsprojekt DRivE vorgestellt, das eine datenbasierte Routenplanung für den Straßengüterverkehr mit alternativen Antriebstechnologien entwickelt. Ziel des Projekts ist es, den Umstieg auf umweltfreundliche Lkw über einen Routingalgorithmus zu erleichtern. Dieser Algorithmus nutzt Daten zur Batterieladung und Tankfüllstand, berücksichtigt topografische Gegebenheiten und die vorhandene Ladeinfrastruktur, um dynamische Routen und Ladestopps optimal zu planen
Designing the Future: A Workshop on Circular Ecosystem Development
No full textAt a time when sustainability is no longer a choice but a necessity, this workshop will focus on the development of circular economy value creation systems. The urgent need to move from a linear take-make-waste model to a more sustainable circular economy model is more evident than ever. We invite researchers and practitioners in sustainability, innovation and strategy to join us for this interactive workshop session. Our research has identified a gap in the applicability of existing business ecosystem design methods to the development of circular ecosystems, prompting the creation of a novel process framework consisting of four stages: Vision, Configuration, Formation, and Operation. The workshop aims to provide insights on a state-of-the-art method to develop circular ecosystems and allows participants to apply their newly acquired knowledge on a real case study in the food packaging industry. At the same, by providing valuable feedback and engaging in moderated discussions, participants significantly support the validation and data collection on our current research on a circular business ecosystem development framework
Einführung in Large-Language-Models
No full textLarge-Language-Models (LLMs) sind zentrale Technologien der Künstlichen Intelligenz zur Verarbeitung natürlicher Sprache. Dieser Vortrag behandelt ihre technische Funktionsweise sowie die gezielte Anwendung von Prompt-Engineering. Die Teilnehmenden erhalten sowohl theoretische Grundlagen als auch praxisnahe Einblicke in die Nutzung von LLMs
Praxisnahe KI: LLMs verstehen und durch Prompt-Engineering nutzen
No full textDer Vortrag vermittelt die theoretischen Grundlagen der Künstlichen Intelligenz (KI) und deren industrielle Anwendung. Im ersten Teil werden die historischen Meilensteine der KI, die strategischen Digitalisierungsziele im Maschinen- und Anlagenbau sowie die Abgrenzung zwischen Künstlicher Intelligenz und Maschinellem Lernen (ML) behandelt. Zudem wird die Funktionsweise neuronaler Netzwerke erläutert und deren Bedeutung für moderne KI-Anwendungen aufgezeigt.
Im zweiten Teil liegt der Fokus auf Large Language Models (LLMs), deren Funktionsweise und der gezielten Anwendung durch einen Prompt-Engineering-Workshop
Needs analysis of relevant stakeholders for the European multimodal transport network
No full textThe first work package of ReMuNet establishes the theoretical foundation for the project by investigating the impact of disruptive events on transport chains and analysing mitigation options. It lays the foundation for common standards to describe sustainable European multimodal transport networks for all stakeholders and presents a requirements-based reference for the technical development of the digital solution components, such as the collaborative platform and the routing algorithm. As integral part of the first work package Task 1.1 aims to develop an in-depth understanding of the relevant stakeholders within the multimodal transport ecosystem. It is led by FIR Institute for Industrial Management at RWTH-Aachen in collaboration with Humlog Institute at Hanken School of Economics, MANSIO GmbH, Fraunhofer Austria, Hafen Wien GmbH, White Research SRL, UIRR s.c.r.l., Vediafi Oy, Danish Red Cross, and ETP-ALICE. The research undertaken in this task uncovers the existing impediments that actors within multimodal transport encounter in the event of disruptions. Drawing from stakeholders’ experience with previous disruptions Deliverable 1.1 explores existing strategies and contingency plans and deduces specific stakeholder needs to increase preparedness for future events. Understanding the needs of multimodal transport stakeholders will help shape the outcome of the ReMuNet project by addressing technological requirements, business-related concerns, and regulatory constraints. In addition, the sustainability efforts of various stakeholders are highlighted and the potential for reducing emissions through the comprehensive use of digital tools is analysed.
The findings outlined in Deliverable 1.1, "Needs analysis of relevant stakeholders for the European multimodal transport network," are crucial for the development of digital modules. Recognising and meeting the requirements of key stakeholder groups is fundamental to ensuring the ReMuNet solution is practical, sustainable, and widely accepted.
The stakeholder analysis was conducted using desk research, surveys, and semi-structured interviews with experts to evaluate the value generated by key stakeholders, pinpoint challenges, and ascertain their roles within the multimodal ecosystem. In addition, collaborative digital and physical workshops have been organised involving industry experts and consortium partners. The workshops served as a platform for in-depth discussions, and offered the opportunity to challenge assumptions, and refine project details. The gathered insights include information from representatives involved in the immediate transport chain such as freight forwarders carriers, terminal operators, and other relevant entities. Additionally, adjacent stakeholder groups including government bodies, industry associations, and non-governmental organisations such as environmental groups, have been examined.
Given ReMuNet's piloting focus on the Trans-European Transport Network (TEN-T) corridors North Sea-Baltic (CORR 2) and Rhine-Danube (CORR 9) within work package five, particular emphasis was placed on stakeholders operating in these geographical areas. Based on studies conducted on European intermodal freight transport a methodology has been developed to estimate the intermodal potential of TEN-T corridors. Supplemented with up-to-date corridor-specific data on freight volumes, modal splits, transport infrastructure etc. this methodology enables the estimation of freight volumes that could be transported intermodally, and consequently the potential for emission reduction
Quality Management and Risk Registry v01
No full textIn the contemporary landscape of project management, the confluence of effective project execution, quality assurance, and risk management is paramount. A regular risk registry and quality management report is essential for maintaining and improving the overall quality and efficiency of a project. The primary aim of these reports is to systematically identify, assess, and manage risks that could potentially impact the project's objectives. By regularly updating the risk registry, the project consortium can proactively address potential threats, ensure compliance with regulations, and make informed decisions to mitigate risks. The quality management part focuses on monitoring and evaluating the quality of processes and outcomes within the project. Its aim is to ensure that the project's deliverables meet established standards and stakeholder expectations. Regular reporting helps identify areas for improvement, track progress over time, and implement corrective actions when necessary.
This deliverable therefore aims to provide a comprehensive overview of risks and quality issues, enabling informed decision-making and proactive management. This approach helps ensure that the project stays on track, meets its objectives, and satisfies stakeholder expectations, ultimately leading to enhanced project performance and successful outcomes
Data Management Plan
No full textThe aim of this deliverable, the Data Management Plan, is to provide a comprehensive overview of the way data is handled throughout the ReMuNet project. Derived from the template provided by the European Commission, its structure ensures alignment with recognized standards. Anticipated to be updated twice more during the project's lifecycle, this document functions as a dynamic guide, articulating the approach to data integration, refinement, and security within the ReMuNet platform. In providing a transparent and comprehensive understanding of data management practices, insights into relevant data sources and processing procedures are offered. This is achieved by applying the FAIR principles, followed by detailed explanations of data security measures, encompassing General Data Protection Regulation (GDPR). This marks the first periodic report, covering only the initial six months of the project, during which concrete work on the platform has not yet commenced. Consequently, data regarding algorithms or similar technical aspects is not available. Instead, the focus has been on
conducting qualitative interviews and surveys as part of the efforts for Work Package 1: Developing European multimodal transport ontology and classifying disruptive events and their impact on transport networks. At present, the dataset primarily consists of a small amount of data points collected from these qualitative interviews and surveys. However, it is crucial to emphasize that additional data, sourced from diverse channels, will be integrated into ReMuNet’s dataset moving forward. Notably, these interviews were conducted collaboratively with HANKEN, and the joint survey is a co-production with ReMuNet’s sister-project SARIL, that was funded by the European Union under grant agreement ID 101103978. Each of these entities maintains its own data security policies. Leveraging these collaborations has enabled both projects to reach a wider
audience and gather more pertinent data. Furthermore, the commitment to adapt and refine practices is reflected in the periodic updates anticipated throughout the project's lifecycle. These updates will address evolving project needs and the increasing diversity of collected data. Ultimately, this deliverable serves as a
valuable resource for project beneficiaries, offering a transparent understanding of methodologies for working with various data types. It fosters transparency and confidence in the integrity and security of the information driving the ReMuNet project
[Zweitveröffentlichung:]Solution-Selling: Wie gelingt die Transformation vom Produkt- zum Lösungsanbieter? / Solution Selling: How to Successfully Transform from Product to Solution Provider?
Get PDFIn einer globalisierten und digitalisierten Welt, in der Preis- und Leistungstransparenz zunehmen, fällt es zunehmend schwerer, die notwendigen Preise für hohe Qualität am Markt durchzusetzen. Dieser verstärkte Wettbewerbsdruck ist vor allem ein Resultat der Zunahme preisgünstiger Anbieter aus Schwellenländern, die durch niedrigere Lohn- und Energiekosten Vorteile haben. Diese Konkurrenten steigern fortlaufend ihre Qualität und erobern damit vermehrt die Premium-Märkte. Vor diesem Hintergrund fordern Kund*innen mehr und mehr maßgeschneiderte, ganzheitliche Lösungen, die auf ihre individuellen Bedürfnisse abgestimmt sind.In a globalized and digitalized world, where price and service transparency are increasing, it is becoming increasingly difficult to enforce the necessary prices for high quality on the market. This increased competitive pressure is primarily a result of the increase in low-cost providers from emerging countries, which benefit from lower lower labor and energy costs. These competitors constantly improve their quality and increasingly conquer the premium markets. Against this backdrop, customers increasingly demand customized, holistic solutions that are tailored to their individual needs
SmartDroneWatch: Autonome Prozessüberwachung der Produktion mit Drohnen / SmartDroneWatch: Autonomous Process Monitoring of Production With Drones
Get PDFDrohnen werden bereits erfolgreich in der Landwirtschaft und Bauindustrie eingesetzt. Die Nutzung von Drohnen in der Produktion wird jedoch vor allem durch eine komplexe Indoor-Navigation erschwert. Im Projekt ‚SmartDroneWatch‘ wurde eine Drohne für die Indoor-Anwendung entwickelt und in einer Produktionsumgebung getestet.Drones are already being used successfully in agriculture and the construction industry. However, the use of drones in production is primarily limited by the challenges of navigating indoors. The ‘SmartDroneWatch’ developed and tested a drone designed for indoor use in a production environmen