Prof. Dr. Sandra Transchel - Teaching at KLU | KLU

Professor Sandra Transchel, Associate Professor of Supply Chain and Operations Management

Teaching at KLU

Mathematics I: Calculus (BSc)

The objective of this course is to help students to acquire basic mathematical skills, particularly focused on calculus, analytical geometry, and linear algebra to be well prepared for further classes in logistics, management, and economics. The topics covered by this course are, for example, functions and models, limits, continuity, techniques and applications of differentiation and integration, the fundamental theorem, single- and multivariable optimization, and introduction to linear programming. After successfully completing this course students will be able to:

  • Solve equations and inequalities for single- and two-variable problems
  • Understand the concept of differentiation as the rate of change
  • Understand the concept of integration as calculating anti-derivatives (or the opposite of differentiation); or more visualized, calculating the area under a function or curve
  • Calculate derivatives and integrals for various functions
  • Transform real-world problems into mathematical models
  • Analyze and interpret mathematical problems and draw inferences from them

Mathematics II: Probability Theory and Distributions (BSc)

Probability theory is a branch of mathematics describing the study of uncertainty. The aim of this course is to introduce students to the theory of probability, structural properties of distributions, and their applications, particularly focused on decision-making under uncertainty. After discussing basic principles of combinatorial analysis, the course presents various methods how to compute probabilities. The topics covered by that course are, for example: the concept of random variables, discrete and continuous random variables, calculating the expected value, the variance, and other measures such as median skewness, the concept of conditional distributions, Bayes’s theorem, and the law of large numbers. Finally, the course will briefly introduce how to use Monte Carlo simulation for modeling decision problems under uncertainty. At the end of course students will be able to do:

  • Understand the concepts and methods of probability theory
  • Calculate the expected values of discrete and continuous distributions
  • Calculate cumulative distributions and marginal distributions
  • Apply probability methods to model and solve decision problems under uncertainty
  • Use Monte Carlo simulation to model decision problems under uncertainty
  • Communicate your knowledge of probability effectively

Logistics Systems (MSc)

The objective of this course is to provide students with the fundamental principles, basic definitions, and quantitative techniques for planning, analysis, and control of logistics systems. The main focus is to manage logistics processes, which encompasses flows of products, information, and funds from the moment an order is received from a customer until all requirements for that order are satisfied in full. The three main topics of this course are demand management and forecasting, inventory management and control, and logistics technologies. This course will further emphasize on studying incentives conflicts across multiple firms and its impact on the performance of the entire system. An overview of related principles, the environmental impact of various decisions, and related global issues are integrated throughout the course. Upon completion of this course, the student will be able to

  • Apply and evaluate various forecasting techniques that build the basis for an accurate inventory management
  • Describe different functions of inventories and their operational and financial implications in the supply chain
  • Understand the trade-offs in managing economies of scale
  • Understand the trade-offs in managing uncertainties in supply chains
  • Understand the trade-off between safety inventories, capacities, and service levels as performance measures in supply chain inventory management
  • Understand topics that include deterministic and stochastic inventory models, their analysis and applications in manufacturing and retail industries
  • Understand concepts, benefits, and limitations in applying logistics technologies in various logistics areas.

Logistics Business Games (MSc)

The basic concept of this course is "Learning by Doing". It provides the opportunity for students to learn and practice managing the complexity of global supply chains by putting them in the shoes of logistics and supply chain managers. The objective is to deliver course theory by interactive logistics games and to understand decision-making in more complex (thus more realistic) business environments. The course concept is that students will work in teams throughout the entire course. Each team has to manage the logistics operations of a virtual company and has to identify, analyze, and solve various problems in order to help the company to manage their logistics operations more successfully. During the course, students will solidify their understanding of logistics and supply chain management. Upon completion of this course, the student will be able to

  • Apply theoretical concepts and methods learned in previous classes on more complex, real-world related problems
  • Understand incentive conflicts of different positions in a company (Marketing, Sales, Operations, Logistics, Manufacturing)
  • Work in teams with the objective to coordinate various interests and objectives of all team members (cooperation).
  • Present business concepts in front of a virtual executive level

Supply Chain Integration and Coordination by Contracts (PhD)

The course is a research-oriented doctoral seminar and aims to prepare students for a successful career in academic and to get them involved in research activities. The specific focus of this course is to investigate incentive conflicts in supply chains and supply chain coordination by contracts. The objective is to gain a better understanding of why these incentive conflicts occur and how they can be resolved. Supply chain members normally optimize their own objectives. However, the resulting actions are very often not in the best interest of the overall supply chain. We will discuss the problem of double marginalization and will discuss and analyze various contracts in mathematical detail. We will particularly show to what extent these contracts overcome the problem of double marginalization. Technically, we will prove which types of contracts and under what conditions these contracts do coordinate the supply chain. After completion this course the student will be able to:

  • Discuss and problematize incentive conflicts between various actors in a supply chain and the problem of double marginalization.
  • Discuss and problematize different theoretical approaches (contracts) to coordinate supply chains and the effect on the decisions of the various actors in a supply chain.
  • Enhance logical modeling ability and develop quantitative managerial and analytical skills.