ECO0027 - TRANSPORTATION MANAGEMENT

D1 - KNOWLEDGE AND UNDERSTANDING. This course provides students with the tools to support a rational decision-making process within complex optimization problems related to transportation management. The student will learn qualitative, quantitative, and IT tools to support logistics managers in reducing the related costs while improving the service level provided.

D2 - APPLYING KNOWLEDGE AND UNDERSTANDING. This course will provide students with the ability to choose and apply the tools for decision-making through examples, exercises, and simplified case studies. The expected outcome is that the student will be able to apply such tools to solve problems in new or unfamiliar environments within broader and multidisciplinary contexts, whenever the ability to make complex decisions is needed.

D3 - MAKING JUDGMENTS. At the end of this course, the student will be able to judge autonomously which tools for decision-making are the most suitable for tackling a problem arising in the area of transportation management. The expected outcome is that the student will be able to make judgments regarding the evaluation of the cost-effectiveness of different solutions, as well as on the impact of the solution applied by the manager on the logistics system.

D4 - COMMUNICATION SKILLS. At the end of this course, the student will be able to understand, interpret, and explain the solutions produced, particularly in terms of the cost-effectiveness of different solutions, on the one hand, and the impact of the solution applied by the manager to the logistics system, on the other hand. The expected outcome is that the student will be able to communicate such pieces of information to specialist and non-specialist audiences clearly, unambiguously, and using the appropriate terminology.

D5 - LEARNING SKILLS. The student will learn an innovative teaching method, based on problem solving, where the ability to formulate optimization models will be acquired on the basis of simplified versions of real-life cases. Some of these models will be implemented in an optimization software. The corresponding solutions will be evaluated and communicated in terms of cost-effectiveness and impact on the logistics system. This method is a basis for having self-directed and autonomous learning skills.