Taught In English

There is no language prerequisite for courses at this language level.

INTRODUCTION TO THE COURSE
The main objective of this course is to learn about supply chain management concepts
and its applicability to the market today driven by the consumer. A short introduction of
the logistic worries of companies that distribute products in a fast moving way and an
introduction of solutions based in digital simulation technologies. Some real casestudies
will be analyzed.
CONTENT
1. Introduction to the supply chain management
a. Definition of the supply chain
b. Decision phases and views of the supply chain
c. Coordination in the supply chain
2. Introduction to the logistics and distribution channels
a. Company strategies alignment with the supply chain
b. Measurements performance of the supply chain strategies
c. The role of forecasting in the supply chain
3. Introduction to the distribution flexible network
a. Manufacturer and distributor roles
b. Delivery and storage activities
c. Picking and cross docking activities
4. Introduction to the digital simulation technologies
a. Definitions and concepts
b. Discrete Event Models for Production Systems
c. Production Simulation Tools
5. Introduction to statistics for simulation
a. Stochastic versus Deterministic processes
b. Statistics properties
c. Model validation
6. Introduction to logistics models design
a. Optimization of Logistic Systems through Simulation
b. KPI’s of Simulation Models
c. A Case Study: Outer Logistic of a production industry.
GRADING
The final grade of each student is determined considering the following weights:
Mid Term Exam (30%)
Papers (50%)
Final Exam (20%)
BIBLIOGRAPHY
D.M. Lambert and J.R. Stock: Strategic Logistics Management
Sunil Chopra and Peter Meindl: Supply Chain Management
http://www.scmr.com/
http://www.sole.org/