Chair of Logistics Management
In the context of sustainability, strategies for green house gas emissions are being developed and quantitatively, based on the real options method, assessed. Among the strategic approaches are fleet modernization, trade of emission certificates and redesign of the supply chain structure. Risk management comprises both operational risk as well as disruptive events such as natural disasters. A systematic approach towards identification, assessment and control of these risks is pursued together with risk modeling based on formal methods. All research activities are conducted with leading logistics service providers and industrial companies.
Our team
Digital Transformation, Machine Learning, Investment Management
"Predictive Analytics in Airline Operations: Application of Machine Learning for Arrival Time and Fuel Consumption Prediction"
"Acquisitions in the logistics sector: A sustainable value creation or aware value destruction? - A case study based analysis"
"The transition of road transport toward autonomous and alternative fuel-powered heavy-duty trucks in Germany"
"Development and evaluation of a total landed costs Approach"
"Advanced methods to measure and improve economic, social and ecological impact of parcel delivery in the urban environment”
"Theorising institutional processes and strategies - Case studies of sustainability policies on the macro and micro levels"
"Customer Lifetime Value Growth and Sustainability in e-Commerce and Rail Last Mile Delivery"
"Three Essays on Decision Making in Operations Management"
"Supply chain risk management - A case study in the fast moving consumer goods industry"
"Data driven planning in e-Commerce supply chains"
"CO2-Hedging for airlines"
"Supply Risk Management - A network oriented Investigation of Supply Risk"
"Quantitative Assessments of Capacity Mechanisms in Electricity Markets with Rising Renewable Feed-In"
"A Real Options Approach to Ship Capacity Investments under Regulatory Uncertainty"
"Extracting value from used products by reuse and remanufacturing"
"Pricing of full service repair and maintenance contracts - an analytical and sumulative approach"
"Transforming data into a company asset : An ethnographic case study”
"Supply Chain Risk Management of Logistics Service Providers"
"Supply Chain Management at Humanitarian Organizations - The Case of School Feeding"
"Supply Chain Complexity: A case study in the drive and control industry"
"Fleet renewal with electric vehicles"
"Three Essays on Decision Making in Health Care Operations"
"Supply Chain Risk Management in Large Scale Projects"
"Investment into ocean freight capacity - Development of a real options investment model in oligopolistic competition to evaluate investement decisions in shipping"
"Investments in Renewable Energy Sources under Market and Regulatory Uncertainty"
"Operational and Financial Risk Management under Commodity Price Uncertainty"
"Supply Network Management - Managing Suppliers Beyond Tier 1"
"The economics viability of long-haul point-to-point airline business models and their competition to full-service network carriers"
"Collaborative CO2 Reduction Management in FMCG Supply Chains"
"Issues of Competitiveness in Intermodal Freight Transportation - En Route to a Modal Shift"
"Risk Management in Complex New Product Development Projects - the Automotive Industry Perspective"
“Airport Slot Allocation - From the development of criteria to allocation in an airport network”
“The Value of Customer Behavior in Supply Chain Management: Predictive Analytics Applications in Demand Forecasting”
“The Transition from Linear towards Circular Economy Business Models: Theoretical and Empirical Study of Boundary Conditions and Other Effects on the Value Chain”
"Improving sustainability in supply chains through simulation-based optimization of logistics fleets and network designs”
"Quantitative Models for Optimization and Simulation in Urban Logistics"
Our teaching
Introduction to Python and Programming – held by Alexander Hess
The main purpose of this course is to make the student familiar with basic concepts of programming and Python (one of the most important languages used at the moment). This prepares the student for further courses, for example, in Data Science, Machine Learning, or Web Development.
Students taking this course in the past reported that they could use what they learned in summer internships as well, in particular when they worked in start-ups.
Seminar Smart Cities
This seminar deals with various aspects of smart cities: deployment of sensor technology, policy design, city logistics concepts. Students analyze benchmark studies such as Singapore and examine to what extent the smart city concept can contribute to the benefits of the ongoing urbanization.
Sustainable Urban Transport
In this course, we will explore modern means of transport for both people and goods. Recent examples include the somewhat controversial e-scooter, the Berlkönig, a ride sharing service which is being offered in Berlin or Moia, a subsidiary of Volkswagen, which is currently active in Hamburg. We will assess these modes of transport in terms of their contribution to sustainability, operationalized as the triple bottom line (planet / people / profit). Transport is among the biggest emitters of CO2 and particulate matter, therefore solutions to curb these emissions are urgently needed. We will study international developments to understand the driving forces behind innovative transportation technology; for instance, it will be interesting to learn why Norway has, globally, the biggest share of electric vehicles.
Transportation Management – held by Honorary Professor Jürgen Ringbeck
Transportation is one of the fastest growing global industries. Travel and logistics are the major backbone of our global business and a core element of private life. The objective of this course is to give a comprehensive introduction into the challenges and best-practices of management and principles of global industry players like passenger airlines or logistics companies. Such management best-practice includes a deeper understanding of the underlying industry dynamics, and the outline of superior strategies as well as commercial and operational management methods of selected industry segments. The course will also highlight some specific management approaches which illustrate a way to a long-term sustainable industry.
Designing and managing the global supply chain
Logistics has grown from a purely functional orientation to become a key enabler of global supply chains. To achieve this, logistics needs to be integrated within the firm as well as across boundaries from suppliers to manufacturers to customers. As companies tend to focus on their core competencies, deverticalization of the value chain entails which necessitates coordination of logistics activities. Logistics is not only concerned with flows of goods and cash, but also – to an ever increasing degree – with the flow of information. Hence it is natural that IT systems play a crucial role to achieve what has been called the 4Rs – that is, the right product at the right place and the right time at the right price.
Sustainable Operations Management
Sustainability is emerging as a key concern for businesses, not least because of the agreement which was reached in the COP21 meeting in Paris in 2015. Thus, it is imperative that students are familiar with sustainability assessment tools. Case studies on successful sustainable companies highlight key challenges and solution concepts.
Operations Management
Operations management is about designing, managing, and improving the activities involved in creating products and services and delivering them to customers. A great workshop offered by Porsche Consulting introduced the students to the importance of quality management in a very hands-on fashion: the process of assembling a pocket lamp was improved step-by-step along the lines of the Toyota Production System principles. Gregory Bryan, Director Operations at Amazon, illustrated why Amazon is so successful and how that relates to operations and supply chain management.
The Analytics Edge
Through analytics companies can improve their competitive positioning. With big data emerging in many areas, new tools based on statistics and machine learning become a necessity. In this course, we will use R to employ these tools and discuss the respective benefits.
Both The Analytics Edge and the Operations Management courses which are popular in the full-time MBA program are offered in the part-time MBA program, too.
The Analytics Edge
Through analytics companies can improve their competitive positioning. With big data emerging in many areas, new tools based on statistics and machine learning become a necessity. In this course, we will use R to employ these tools and discuss the respective benefits.
Data Analytics
This course provides an overview of modern machine learning methods such as regression, tree-based methods, artificial neural networks and support vector machines. Unsupervised learning such as clustering and principal component analysis are also discussed. Lastly, visualization techniques are introduced as a useful means of communication.