Course Contents
Basic Modules
Module 1: Business Engineering
Innovative business models, strategic management and benchmarking, general accounting principles, fundamentals of corporate finance
Module 2: Information Management
Logistics Information Systems (LIS), Strategies for Implementing Data Mining to Enhance Logistics Intelligence, New trends in information technology, Information Technologies Service Management (ITSM)
Module 3: Statistics for Logistics
Measurement and describing data, Basic probability distributions, Parametric and Non-parametric statistics, Elementary forecasting techniques, Multi-criteria Decision Making
Module 4: Modelling Transport and Logistics Systems
Optimization with constraints: Linear Programming and Mixed Integer Programming, Sensitivity analysis. Network Flow Models: Linear models of network flows, Introduction to graph theory, Basic network flow problems: TSP, routing problems, pick-up and delivery problems, problems with time windows. Basic heuristics for solutions. Robust Optimization Techniques
WCTRS Modules
Module 5: Concepts, Notions, and Challenges
Introduction to Logistics, Logistics Systems, E-Logistics: Logistics Information Systems, Sustainable logistics
Module 6: Production, Trade and Logistics
Trends in Production and SCM, Drivers and Barriers to International Trade and SCM, Trends affecting Logistics and Transport Services
Module 7: Customer oriented Logistics Service Design
Understanding Logistics Systems, Transport & Logistics Service Design, Decision Problems in Transport Service Design, Design of Synchromodal Logistics Systems
Module 8: Pricing, Finance and Integrated Decision Making
Product and pricing policy, financial risk calculus: Activities exposed to risk, estimation of probabilities and expected value of damage, integrated decision making, multi-criteria decision making and cost-benefit analysis for logistics and transport decisions. Evidence-based decision making.