Operations Management and Factory Physics (in English) [ LLSMS2032 ]
5.0 crédits ECTS
30.0 h
2q
| Teacher(s) |
Chevalier Philippe ;
|
| Language |
English
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
This course presents the key underlying principles that drive operations efficiency in a factory, in services or in a supply chain. These principles can be used to gain valuable insight for complex real-life problems.
|
| Aims |
Ability to model operations management decisions
Understand the influence of variability and uncertainty for operations management
Analyze and solve real life operations management problems.
|
| Content |
The class mixes interactive seminars on the topics with case studies to provide students with a feeling for the relevance and context of the subject matter.
Content
ANALYZING AND UNDERSTANDING THE EFFECT OF VARIABILITY FOR OPERATIONS MANAGEMENT
Variability basics
Push and Pull production systems
Total quality
MANAGING OPERATIONS IN A PLANT
Pull models
Shop floor controls and scheduling
MANAGING OPERATIONS FOR SERVICES
Queueing models
Non-stationary systems
MANAGING OPERATIONS IN A SUPPLY CHAIN
Managing inventory
Managing capacity
Managing time
Methods :
In-class activities
1 Lectures
1 Interactive seminar
1 Exercices/PT
1 Problem based learning
1 role playing/simulation
At home activities :
1 Exercices to prepare the lecture
1 Paper work
|
| Other information |
Other information
Prerequisites (ideally in terms of competencies)
Introduction to operations management, production management and operations research.
Evaluation :
Case solutions, class participation and an oral exam
Support
Hopp, W. and Spearman M. Factory Physics: Foundations of manufacturing management, McGraw-Hill, 2000.
References : Provided during the class
Internationalisation :
1 international content (does the course tackle international issues related to the course content ?)
1 international guests
1 international case study
Corporate features :
1 case study
1 company visit
Skills :
1 team work
1 problem solving
1 decision making
1 project management
1 critical thinking
Techniques and tools for teaching and learning :
1 modelling
1 simulation
1 quantitative methods
1 mathematics
|
Cycle et année
d'étude |
> Master 120 of arts in Business engineering
> Master [120] in Business Engineering
|
Faculty or entity
in charge |
> CLSM
|
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