Supply Chain Management (5 ECTS)

Objective

On completion of the course, the student
• understands the goals and importance of supply chain management and the key logistical functions and decisions affecting the company in an international business environment
• comprehends the impact of logistics on the competitiveness of companies and economies
• understands the role of technology and sustainability in supply chain management
• is aware of the knowledge and skills required in the field of logistics and supply chain management
• can apply process thinking and process mapping tools when describing a company's processes
• is able to apply key performance indicators to develop logistics and supply chain operations.

Content

• Key concepts and functions of logistics and supply chain management
• Basic concepts of international logistics and trade
• Main logistics and supply chain costs and key performance indicators
• Process thinking and process mapping
• Sustainability and role of technology in supply chains and logistics
• Logistics and supply chain management as a career

Location and time

The course begins on August 27th and concludes on December 4th. Classes will be held weekly on Wednesdays from 8:30 AM to 11:00 AM, according to the provided schedule. Please note that there may be some weeks off, so students should regularly check the weekly schedule for any updates.

Materials

John Mangan and Chandra Lalwani: Global logistics and supply chain management, (2016) Wiley, 3rd edition, Chapters: 1,5,7,8,9,10,11

David B. Grant: Logistics Management, Pearson 2012, Chapters: 1, 3,4,5,6,8

Joëlle Morena: Logistics, 2018 available online in O'Reilly Safari Online

Martin Christopher: Logistics & Supply Chain Management, 5th Edition 2016 available online in O'Reilly Safari Online

Incoterms 2020 : ICC rules for the use of domestic and international trade terms

Teaching methods

Interactive lectures and exercises

Group and individual assignments

REAL GAME simulation

Employer connections

-

Exam schedules

Mid-term exam week 43
Mid-term exam 1st resit week 48
Mid-term exam 2nd resit week 49

International connections

-

Completion alternatives

-

Student workload

1 cr = 27 h

Content scheduling

Lectures and workshops (weeks 36 - 41)
Mid-term exam (week 43)
Group presentation (week 44)
REAL GAME simulation game sessions (weeks 45 - 48)

Further information

-

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in leisure, learning and working life situations
• understands the importance of expertise in business and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in leisure, learning and working life situations
• is able to analyse expertise in business and their own development towards expertise.

Assessment criteria, approved/failed

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment methods and criteria

Moodle Quizzes 10%
Group case assignment 20%
Exam 40%
Participation in REAL GAME simulation 30%