Optimization of Business Processes

2019-2020

Course Objective

To learn about applications of stochastic operations research in the
context of a number of important application areas, especially
manufacturing and services.
After this course:
- the students is familiar with some areas in which business process
optimization techniques are used;
- is familiar with the most common optimization techniques and tools and
knows how to apply them;
- understands the context and is familiar with the most common pitfalls.

Course Content

We deal with a number of application areas of stochastic modeling:
production logistics, call centers, health care and revenue management.
For each area we present quantitative problems and discuss how they can
be solved using mathematical models. We also discuss a number of new
models. Several guest lectures are given by people from industry.

Teaching Methods

Lectures and practical work.

Method of Assessment

Written examination, 4 individual assignments, and a book presentation.
The assignments and the presentation each count for 10%, the exam for
50%. The minimal grade for the exam is 5.0.

Literature

Lecture notes.

Target Audience

mBA, mBA-D, mMath

Additional Information

Attendance mandatory.

Recommended background knowledge

Applied Stochastic Modeling or equivalent knowledge

General Information

Course Code X_400422
Credits 6 EC
Period P4+5
Course Level 400
Language of Tuition English
Faculty Faculty of Science
Course Coordinator prof. dr. G.M. Koole
Examiner prof. dr. G.M. Koole
Teaching Staff prof. dr. G.M. Koole

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

This course is also available as: