John von Stamm
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Institute
Ausgangssituation:
Im Straßengüterverkehr werden Transporte zur Einhaltung der Lenk- und Ruhezeiten unterbrochen. Diese Unterbrechungen verlängern nicht nur die Transportzeit. Es werden außerdem Lkw-Stellplätze belegt, von denen laut BASt bzw. BGL an deutschen Autobahnen ca. 35.000 fehlen. Die Stellplatzsuche führt zu CO2-intensivem Parksuchverkehr, Lenkzeitüberschreitungen und Frustration bei Lkw-Fahrer*innen. Wildparkende Lkw verursachen Unfälle, stören Anwohner*innen und begünstigen laut VEDA Ladungsüberfälle mit Schäden in Milliardenhöhe.
Ergebnis & Nutzen für die Zielgruppe:
Die Unterbrechung von Transporten kann vermieden werden, indem Trailer am Ende der Lenkzeit durch ein IoT-Schloss gesichert und anschließend ausgeruhten Fahrer*innen übergeben werden. Im Projekt wurde ein sicherer, speditionsübergreifender „Staffelverkehr“ erforscht: Auf einer Internetplattform wurden Langstrecken mithilfe von KI-Algorithmen in Teilstrecken zerlegt, die dann über einen Lenkzeiten-Marktplatz zwischen Speditionen und Frachtführer*innen anhand von Echtzeitdaten (z. B. Verkehr, Infrastruktur, IoT, Telematik) vermittelt wurden.
Bei näherem Interesse, z. B. an der Demoanwendung, können sich Unternehmen an unseren Partner MANSIO wenden: https://www.mansio-logistics.com/kontakt/demo-termin-vereinbaren/.
The Eurozone faces growing economic and environmental challenges, with supply chain disruptions causing losses of over EUR 112.7 billion in 2021. Climate change, geopolitical risks, regulatory shifts, and infrastructure weaknesses strain intermodal freight transport, highlighting the need for digital solutions to enhance resilience and efficiency.
This paper examines key challenges in intermodal freight transport, including disruption triggers, network vulnerabilities, and inefficiencies in disruption management. Extreme weather, and capacity shortages impact both performance and sustainability. Using the Total Quality Framework (TQF), the research includes interviews with 23 stakeholders from 10 countries, focus workshops, and surveys. The analysis reveals shortcomings in real-time data integration, interoperability, and disruption response. Regulatory fragmentation and low digital maturity hinder resilience strategies. Addressing these gaps requires harmonized data frameworks, improved interoperability, and the use of collaborative digital platforms.
The Horizon Europe project ReMuNet leverages intelligent algorithms and digital platforms to enhance multimodal networks, optimize route planning, and improve disruption response, contributing to the vision of the Physical Internet.
Der Rückbau kerntechnischer Anlagen stellt eine langfristige und komplexe Aufgabe dar, an der zahlreiche Stakeholder beteiligt sind, darunter Behörden, Betreiber von Kernkraftwerken, Sachverständige sowie weitere Akteure aus der Industrie. In Deutschland sind laut dem Bundesamt für Strahlenschutz derzeit etwa 424.000 Personen beruflich strahlenschutzüberwacht, wobei hiervon ca. 68.000 Personen
in Bereichen Forschung und Lehre (17.000), Industrie (34.000) und Kerntechnik (17.000) beschäftigt sind. Ein erheblicher Teil der Belegschaft wird in den kommenden Jahren in den Ruhestand gehen.
Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. As a result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study’s content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas.
In long-distance road freight transport, capacity utilization of semi-trailers is less than 30 % due to mandatory steering and rest periods. Truck parking spaces are overcrowded while resulting parking search traffic leads to additional emissions. At the same time, the acute driver shortage and customers' expectations of ever faster functioning supply chains force the highest efficiency in transport means and personnel. Multi-carrier relay-transport represents an approach to solving these problems and exploiting untapped efficiency potentials: Via a digital platform, long distances are intelligently divided into short route sections which are distributed among different carriers. At predefined switching points, the asynchronous handover of semi-trailers to rested drivers takes place. To enable a secure cross-company physical handover, IoT-locking mechanisms play a crucial role. This paper details the asynchronous handover process and introduces the technical design of an IoT-lock which provides effective theft protection while the trailer is parked and reliably connects tractor and semi-trailer during transport. Based on an analysis of stakeholder requirements, software functionalities and mechanical properties of the IoT-lock are derived, which ensure effective theft protection as well as real-time data transmission for relay transports. In addition, legal requirements for asynchronous transfers are investigated to determine liability in case of damage or loss. These form the basis for digital handover protocols that record the condition of the freight and trailer during the handover process.
In 2021, economic losses due to supply chain disruptions in the Eurozone amounted to €112.7 billion Euro: Natural catastrophes (e.g., hurricanes, earthquakes, floods, and wildfires) multiply in the wake of climate change. The risks of pandemics, trade restrictions, cyber-attacks, and geopolitical conflicts are omnipresent. Hence, the threat of disruptive events to the European transport network grows ever greater. Additionally, GHG emissions can drastically increase by up to 50% if disruptions are not treated efficiently. Here, the project “Resilient multimodal freight transport network” (ReMuNet) comes into play: ReMuNet will enable the multimodal freight network to react and respond 20% more quickly to disruptive events and help to reduce European inland transport emissions on the main run by over 50% by 2026.
As a trailblazer for the Physical Internet, the project pursues the vision to enable and incentivize synchro-modal relay-transport on European rail, road, and inland waterways to increase holistic network resilience. ReMuNet can identify and signal disruptive events and assess their impact on multimodal transport corridors. It reacts quickly to disruptive events in real time. It supports TMS providers to improve route planning resilience by communicating alternative, pre-defined, multimodal transport routes. ReMuNet orchestrates route utilization, suggests transshipment points, and optimizes capacity allocation, minimizing damage and shortening the recovery time. This paper introduces ReMuNet and its vision, objectives, and expected results.
In 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.
