Decision Making in Supply Chains

2019-2020

Course Objective

In today's highly competitive markets supply chain managers are
challenged to design, plan and control logistics processes at company
and supply chain level. Regardless of whether their supply chain is
aiming for e.g. higher responsiveness, improved cost efficiency or
supply chain vulnerability, the resulting decision problems tend to be
complex and require quantitative analysis. Moreover, they often need to
be addressed under time pressure without access to dedicated software
tools.

This course wants to teach students how to use and build spreadsheet
models to (i) analyze real-life company data, (ii) develop optimization
and simulation models, (iii) report results and formulate
recommendations to improve supply chain performance.

Course Content

In this course you learn a variety of methods for analyzing, modelling
and improving logistics processes in supply chains. To make sure that
you can apply these skills in practice we will use widely available
spreadsheet software (and add-ins) instead of dedicated software which
is often unavailable in companies. Important topics that we are going to
address are data processing, optimization and simulation analysis.

Students will be challenged to solve exercises and case studies by
designing appropriate spreadsheet models.

Teaching Methods

Lectures and (computer) tutorials

Method of Assessment

Team assessment
Individual exam

Entry Requirements

Students not following the MSc BA TSCM programme are kindly requested to
contact the course coordinator prior to enrollment.

Literature

- extensive handouts and additional course material to be distributed
via Canvas
- handbook to be announced

General Information

Course Code E_BA_DMSC
Credits 6 EC
Period P2
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator prof. dr. W.E.H. Dullaert
Examiner prof. dr. W.E.H. Dullaert
Teaching Staff prof. dr. W.E.H. Dullaert

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Study Group, Practical
Target audiences

This course is also available as: