Making for example decisions on the reallocation of food products into regions affected by disasters is only possible if knowledge about the (regional) availability of food quantities is present in the first place. This approach leads to increased process efficiency for all actors in the realization of complex transport operations and thus has a positive effect on the resilience and profitability of IFTNs. Due to the variety of existing approaches and the specifics of each problem it is often difficult to find an appropriate method. to represent network routing of shipments more accurately, is of paramount importance. However, in the German food sector, it is hard to get data about the inventories kept by companies like producers, logistic service providers (LSP’s), wholesalers or retailers. Improvement of IT cost and performance for a European bank (Germany, 5 months). The resulting overall stock levels are normalised, and their usability is showcased in a simple vulnerability analysis. Abstract: This paper presents a calibrated dynamic multi-scale multi-regional input–output (MSMRIO) model of the German food supply system based on real data. Hanno Friedrich 1, Alexander Staudinger 1, André Ludwig 1 and Alan McKinnon 1 1Kühne Logistics University (KLU), Hamburg, Germany Abstract. Abstract: Distribution structures are important elements of the freight transportation system. In 2020 KLU celebrates its 10th anniversary. Auf LinkedIn können Sie sich das vollständige Profil ansehen und mehr über die Kontakte von Hanno Friedrich und Jobs bei ähnlichen Unternehmen erfahren. Kuehne Logistics University - KLU. The seven selected toll road projects are priority sections of the National Trunk Highway System (NTHS) and located in strategic provinces in China. By modelling the transmission process as a random walk, we are able to develop a novel, computationally tractable solution that accounts for all possible paths of travel through the network. This computational study describes the structure of an ETA prediction model for intermodal freight transport networks (IFTN), in which schedule-based and non-schedule-based transports are combined, based on machine learning (ML). Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV): member of AA 1.8 (Freight Transport) and AK 1.8.4 (Conceptualisation and application of transport demand models estimating commercial transport). The model is applied in a case example that features dairy product stock levels in the German state of Saxonia. Co-chair of the session “Großbaustellen – Integrierte Optimierung von Bauverfahren, Logistik und Verkehr” (construction sites - integrated optimization of construction processes, logistics, and traffic) at the 2. Due to increasing requirements the modelling of commercial traffic receives more and more attention. Accordingly, this paper presents a reference model in the context of production, logistics and traffic, called Interdisciplinary Decision Map (IDM). A large part of overall food stock, before a disaster strikes, is held by private companies (retailers, wholesalers and food producers). View more photos . Dabei werden der Modellaufbau, die verwendeten Modellierungsmethoden sowie eine Auswahl von Softwarewerkzeugen vorgestellt und analysiert. We study the problem of identifying the source of emerging large-scale outbreaks of foodborne disease; a crucial step in mitigating their proliferation. However, there is little-to-no information on the food stock levels of commercial companies, and no approach exists to derive such information. To demonstrate its applicability a centralisation in food supply chain structures in Germany is analysed. Les citations de ces articles ne sont comptabilisées que pour le premier article. Thus, it can serve as decision support tool for decision makers out of the considered domains. View Start-Up Day 2019 Gallery. The surprising secret to speaking with confidence | Caroline Goyder | TEDxBrixton. Abstract: The paper introduces a model to determine possible impacts of changes in supply chain structures on freight transport demand. February 2019 – July 2021 Prof. Dr. Hanno Friedrich (Kühne Logistics University - KLU) The greater scope of NutriSafe (funded by the German Federal Ministry for Research and Education) is to ensure the security of food production and logistics via "Distributed Ledger Technology" (DLT). First, current and future factors influencing freight transport are discussed. After having finished diploma in 2004, he worked for six years at McKinsey & Company, a strategic management consulting firm. Furthermore, a case study on hauliers' reactions on the German HGV toll is presented. In modeling the entire food supply chain from farm to fork, however, these methodologies have paid little attention to consumer behavior and mobility, instead making the simplifying assumption that consumers shop in the area adjacent to their home location. SMart Event ForeCast for Seaports (SMECS), Funding: BMVI (German ministry of transport), Partner: TU Berlin (Logistics Chair), Kühne Logistics University, DB Cargo, Dakosy Datenkommunikationssystem AG, Kühne + Nagel, Hamburg Süd, DB Netze, TFG Transfracht, Hamburger Hafen und Logistik AG (HHLA), Metrans,, Verein Hamburger Spediteure, Lübecker Hafengesellschaft mbH. Export record:CitaviEndnoteRISISIBibTeXWordXML, Open reference in new window "An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning". Die Ableitung dieser Daten sowie die Illustration am Beispiel eines Berlin-Szenarios ist Gegenstand des vorliegenden Aufsatzes. The lecture was followed by a round table session on digitalization in transportation. KLU is the right choice for me, because here I can do all the things I always wanted to do.” Prof. Dr. Alexander Himme. Hanno Friedrich Sandra Transchel Food is an important resource in disaster management, and food stock levels hold significance for disaster mitigation research and practice. Hanno Friedrich about the purpose of the KLU Start-Up-Day and trends in the logistic industry . KLU offers a broad spectrum of courses and research in logistics, supply chain and business management. This chapter discusses drivers behind these structures, logistics decisions connected to distribution structures on the micro level, and possible modeling methodologies on the macro level. The traditional distribution model – the Gravity Model – is introduced in detail with the focus on its forecasting capability of freight transport distribution. The derivation of the related principles is based on the examination of five problems in logistics literature: facility location, distribution system, lot size, bin packing, and vehicle routing. (T.S. The model first generates a population of establishments and commodity flows in space which is then manipulated according to different scenarios. We demonstrate the benefits of the multiple-paths approach through application to different network topologies, including stylized models of food supply network structure and real data from the 2011 Shiga toxin-producing Escherichia coli outbreak in Germany. Abstract: Intermodal logistics networks such as the maritime transport chain require a precise interaction of numerous actors. Abstract: We compute degrees of food self-sufficiency for regions in North Germany with the city state of Hamburg at the centre, given different diets (the German average diet versus increasing substitution of legumes for meat) and production methods (conventional versus organic). Improvement of IT costs and performance for a European retailer, especially in the area of cashpoint and logistics systems (Germany, 4 months). This is mostly due to the lack of appropriate tools which help indicating the possible effects. Research interests. Moreover, attributes characterizing the LSP locations are helpful to relate them to traffic generation. The easiest way to search our collection is via using our discovery search in the search field above. An in-depth analyze is undertaken to look at opportunities, risks and forms of para-parking and finally a proposal for a qualitative economic impact assessment of parking facility investment is given. As interdisciplinary research has shown, the impact of the identified factors on the development of freight transport is strongly dependent on the sector under investigation. The issues examined are related to policy support, regional development, the fund-raising model, project development and the financial structure. Modelling Food Supply Systems to Identify Outbreak Origins (MFSSIOO), Funding: DFG, Bayer Foundation, BfR, MIT, FALCON: Freight And Logistics in a Multimodal Context , Funding: Conference of European Directors of Roads (CEDR), Partner: HAN, VTI, DLR, TNO, IFSTTAR, BRRC, CUTS, MAN, Michelin, Role: Advisory Board. Examples are centralisation or vertical (des)integration within supply chains. Triangulating data of statistical databases, literature, and our own collection, we compute land footprints per capita and multiply by regional populations. The presence or absence of food stocks is a vulnerability indicator of a region. The model provides the possibility to analyze changes in logistics and freight transport demand on a company, as well as on an overall sector level. After working for one year as a Postdoc at the KIT he received a call for a Junior Professorship in the area of commercial transport at the TU Darmstadt in 2011. ETAs are not easy to determine, especially for intermodal freight transports, in which freight is transported in an intermodal container, using multiple modes of transportation. The presence or absence of food stocks is a vulnerability indicator of a region. There is also no generally valid framework for freight transport modelling in comparison to passenger transport modelling. I gave joint presentation with my KLU colleague, Prof Hanno Friedrich, at this conference on the theme of 'Between Illusion and Reality: The Feasibility of the German Climate Agenda for Freight Transport'. The model is applied in a case example that features dairy product stock levels in the German state of Saxonia. As many actors and organisations are involved in ever more complex food supply chains, cooperation and collaboration are vital for efficient and effective disaster management. The German Road and Transportation Research Association (FGSV) compiled the state-of-practice of modelling transport and included, thus, specific recommendations for commercial transport. Disaster managers are provided with a model that can be used estimate otherwise unavailable data and facilitates investigations into the regional resilience of an area. Finally, some implications of the analytical results on transport policy are provided: To achieve further modal shift from road to rail, public financial support and the regulatory framework must put railways into the position to consolidate shipments and to exhaust economies of scale. The model comprises 51 commodity groups from farm to fork differentiating three different temperature ranges as well as living animals. Knowledge on the spatial distribution patterns of LSP locations, e.g. View playlist! KLU INVITES APPLICATIONS FOR A SENIOR RESEARCHER IN FOOD SUPPLY ANALYSIS TO BEGIN AS SOON AS POSSIBLE. Workshop on Logistics startups and opportunities for Lufthansa Technik Logistics services (Germany, 1 day). Open reference in new window "Locations of Logistics Service Providers in Germany - The basis for a new freight transport generation model.". View Start-Up Day 2019 Gallery. After having finished his diploma in 2004, he worked for six years at McKinsey & Company, a strategic management consulting firm. World Conference on Transport Research Society (WCTRS): Co-chair of SIG B5 Freight Transport Modeling. Consequently, the outcome of this research allows decision makers to proactively communicate disruption effects to actors along the intermodal transportation chain. However, decision-makers in and around today’s supply chains rarely consider effects of their decisions on other participants of the supply chain or the traffic system. It uses methods from transport planning and optimisation as well as scenario technique. These actors can then initiate measures to counteract potential critical delays at subsequent stages of transport. The IDM’s applicability is demonstrated by using it to analyze selected impacts of an heavy goods vehicles (HGV) toll’s introduction on production, logistics and traffic. Open reference in new window "Distribution Structures", Großer Grasbrook 1720457 Hamburg, Germany, Master in Supply Chain Management (tricontinent), Executive seminar: International Summer School, Professors‘ network of the Kühne Foundation, Hapag-Lloyd Center for Shipping and Global Logistics (CSGL), Center for Sustainable Logistics and Supply Chains (CSLS), DOI:, DOI:, DOI: doi: Open reference in new window "Freight Transport Demand Modelling – Typology of Characterizing Freight Transport Demand Models", Open reference in new window "Supply Chain Risk Analysis with Extended Freight Transportation Models". It is estimated based on empirical data of distribution obtained from two major German companies. Beyond foodborne disease, these methods should find application in identifying the source of spread in network-based diffusion processes more generally, including in networks not well approximated by tree-like structure. The automotive and food sectors in Germany are used as examples to further examine the opportunities of sectoral freight transport demand models. Abstract: Supplies of food and water are essential in disaster management, particularly in the very early chaotic phases when demand and available resources are highly uncertain, information systems are disrupted, and communication between communities, food suppliers, retail and emergency authorities is difficult. At the same time, they are confronted with increasing logistical requirements related to higher quality and flexibility demands of customers (Straube et al. This paper discusses a theoretical taxonomy of start-ups in logistics. Two data sets are used to categorize and analyse existing start-ups, one from Crunchbase and the other from a combination of LinkedIn and Crunchbase. More broadly, results show how gravity models can contribute to computational approaches to model consumer shopping interactions relating to retail food environments, nutrition, and public health. Prof. Dr. Hanno Friedrich has left Technische Universität Darmstadt for Kühne Logistics University (KLU) beginning September 2015. Abstract: Toll roads are believed to have a high ability to attract private investment since they are able to recover directly the costs of their operation and construction through toll charges. The authors show the connection between the micro and the macro level and highlight advantages of the different modeling approaches. Simulations show that the new multimodal transportation system has a significant impact on shipment size distributions changing them in favor of smaller shipments. Our findings indicate that there is great potential to feed the regional community surrounding Hamburg solely with regionally, organically grown foods, but this result depends on (1) composition of diets — specifically, the per capita meat consumption – and (2) agricultural area available in the defined region. The results contribute to a better understanding of the last link in the food supply chain. Open reference in new window "Smart Event Forecast for Seaports (SMECS): Endbericht Forschungsprojekt". A taxonomy of modeling methods dealing with logistics networks is defined, based on two characteristics: the changeability of networks within models (fixed, partially variable and variable networks) and the form of cost functions mapped (economies of scale, constant average cost, and diseconomies of scale). We demonstrate a significant increase in the accuracy of a network-theoretic source estimator for the outbreak source when the gravity model is included in the food supply network compared with the baseline case when contaminated individuals are assumed to shop only in their home location. Luxembourg’s future role as an air cargo hub: a preliminary study (KLU consulting project, Germany/Luxemburg, 2 days). Hanno Friedrich is Assistant Professor of Freight Transportation - Modelling and Policy. We are always ready to help with any question you might have, just ask at the library desk or send us an e-mail. TEDx Talks. Amazon Rainforest by KLU student Robin Molzahn | KLU Thinks Big 2019. Open reference in new window "Opportunities of sectoral freight transport demand modelling". Therefore, the objective of this paper is to present intermediate results of an empirical study on LSP locations in Germany. Open reference in new window "Implications for Freight Transport Demand Modelling from Interdisciplinary Research: Developing a Concept for Modelling Freight Transport Within Supply Networks of the Automotive Industry". In a next step, characteristics of typical German dairy supply chains are described using practical evidence as well as literature findings. The KLU has chosen European Logistics Universities quite carefully, not only big names from big cities but gemstones in logistics from each country. The inclusion of this information into existing models is expected to improve their performance. In our video series you will meet KLU’s current professors and learn about their motivation, their research, their connection to KLU, what sets KLU apart and makes it such a special place! Open reference in new window "Can Regional Organic Agriculture Feed the Regional Community? Abstract: Wirtschaftsverkehrs- und City-Logistik-Modelle ermöglichen die Simulation des Verkehrsverhaltens sowie die Untersuchung und Bewertung von verschiedenen verkehrspolitischen Maßnahmen. As a consequence, this paper proposes the application of a sectoral modelling approach. Hanno Friedrich is Assistant Professor of Freight Transportation - Modelling and Policy. Get to know our different degree programs, watch lectures from KLU Faculty, chat with current students and staff and ask all the questions that are on your mind from the comfort of your chair. Open reference in new window "An inventory management approximation for estimating aggregated regional food stock levels". One important element to increase transparency is reliable, up-to-date and accurate arrival time prediction, commonly referred to as estimated time of arrival (ETA). Open reference in new window "The interdisciplinary decision map - A reference model for production, logistics and traffic", Open reference in new window "Modelling Dynamic Commodity Flows Using the Example of the German Food Supply Sector", Open reference in new window "The SEAK Project: Decision Support for Managing Disruptions in Food Supply Chains". Based on conceptual frameworks on logistic choice levels and logistic structures the paper shortly reviews a selection of existing modeling approaches. Abstract: Abstract This paper discusses the opportunities of sectoral freight transport demand models. Open reference in new window "Quantitative Modellierung der Lebensmittelversorgung in Deutschland des Verbundprojektes SEAK: Endbericht Forschungsprojekt", Abstract: The study contributes to fill the gap between freight transportation analysis and logistic research. Open reference in new window "An inventory management approximation for estimating aggregated regional food stock levels", Modeling Food Supply Systems to Identify Outbreak OriginsPreventing Shortfalls in Food LogisticsSMart Event ForeCast for Seaports (SMECS)Security in Food Production and Logistics with Distributed Ledger Technology - NutriSafe, Logistics & SCM Fundamentals (BSc MGT) Logistics and Supply Chain Management Fundamentals (BScBBA) Transportation Management (BScBBA) Transportation and Distribution (MSc GL & SCM, MSc SCM TRI), Associate Professor of Freight Transportation - Modelling and Policy at Kühne Logistics University (KLU), Assistant Professor of Freight Transportation - Modelling and Policy at Kühne Logistics University (KLU), Junior Professor of Commercial Transport at TU Darmstadt, Postdoctoral Research and Teaching Assistant at the Karlsruhe Institute of Technology (KIT), Consultant at McKinsey & Company (on educational leave from 2006 to 2009), Dissertation in economics at the Karlsruhe Institute of Technology (KIT) Thesis topic: “Simulation of Logistics in Food Retailing for Freight Transportation Analysis”, supervisor: Prof. Dr. Werner Rothengatter, co-examiner: Prof. Dr. Lori Tavasszy, Visiting Scientist at the Institute for Transport (IVF) at the German Aerospace Center (DLR) in Berlin, International exchange programme (ERASMUS) in France at the “Ecole de Management Lyon” (EM Lyon), Studies in industrial engineering at the University of Karlsruhe Degree: Diplom-Wirtschaftsingenieur (Dipl.-Wi.-Ing. Benefit assessment of an ERP implementation for a German food retailer (Germany, 6 months). IT organization and IT governance development for an international bank in a post-merger situation (USA and Switzerland, 6 months). A Case Study for Hamburg and North Germany". Drawing on these findings, the freight generated by German less than truckload networks is estimated on an aggregate level. It describes the model SYNTRADE, a simulation model that reproduces logistic structures in the German food retailing sector. His research topics are freight transport demand modelling, transport economics, risk management in transport and logistics, and food logistics. This is due to the fact that usually companies are not obliged to publish this information. This paper seeks to facilitate this process as it identifies ‘meta’ heuristics within literature, i.e. Abstract: Due to strong interdependencies between production, logistics and traffic, a decision in one of these fields has impacts on the others. The functional form is being deduced from the first order condition of Total Logistics Cost function minimization. Then, the requirements of para-parking (legalization of illegal parking spaces) are formulated including the change process that involves parking authorities, parking operators, and parking users. We gathered information on all available food products, but limit this particular analysis to dairy products as a showcase of our approach. Thus, a tool for decision support, which clearly illustrates the variety of impacts of a decision, is highly desirable. These predictions comprise processing times at logistics nodes such as inland terminals and transport times on road and rail. “For me, diversity sets KLU apart.” – Prof. Dr. Hanno Friedrich, Tel: +49 40 328707-261 Fax: +49 40, Photos in high resolutionContact as vCard. To solve the source identification problem, we formulate a probabilistic model of the contamination diffusion process as a random walk on a network and derive the maximum-likelihood estimator for the source location. In addition, a systematic overview of selected international freight transport demand models is given. TEDx Talks. Starting from the basic definition of networks, the different perceptions of networks in transportation science and logistics are worked out. Triangulating data of statistical databases, literature, and our own collection, we compute land footprints per capita and multiply by regional populations. Open reference in new window "A Gravity-Based Approach to Connect Food Retailers with Consumers for Traceback Models of Food-Borne Diseases", Open reference in new window "The Network Source Location Problem in the Context of Foodborne Disease", Open reference in new window "Chapter 12 - Synthesis". MBA in Leadership and Supply Chain Management. Kuehne Logistics University - KLU. Das System erkennt proaktiv Konflikte bei der Einhaltung des geplanten Transportverlaufes vom Warenversender bis zum Seehafen und befähigt die Anwender zu einer zielgerichteten und effizienten Durchführung geeigneter Störungsmaßnahmen durch die Vorgabe von akteursspezifischen Handlungsempfehlungen. Next, a brief summary of the traditional transport modelling approach and recent extensions and adaptations of freight transport models is given. For the management of shortfalls in food supply it would be, as a first step, crucial to have information on existing inventories. However, toll road development can only be attractive to investors and lenders if the long-term sustainability is achieved. This contribution presents a typological order of characteristics of freight transport demand models which covers their internal structures and employed methods. We show significant improvements in accuracy and reliability compared with the relevant state-of-the-art approach to source identification. The results show that a more educated discussion is needed for such changes since the range of possible impacts is large. The micro‐macro gap, as a main challenge in freight transport modeling, is explained by the existence of logistics networks on a meso level. 2:07. An overview of software products is enclosed as well as a description of the relevant input data.

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