Advanced Operations Management : Models and Applications (in English)

llsms2032  2020-2021  Louvain-la-Neuve

Advanced Operations Management : Models and Applications (in English)
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h
Q2
Teacher(s)
Chevalier Philippe;
Language
English
Prerequisites
  • An introductory course in operations management
  • A probability course
In addition, this course is reserved for students with a bachelor's degree in business engineering or students with equivalent quantitative method skills
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

At the end of this learning unit, the student is able to :

1 Having regard to the LO of the programme, this activity contributes to the development and acquisition of the following LO:
  • 2. Knowledge and reasoning
  • 2.1. Master  the core knowledge  of each  area  of management.
  • 2.2. Master  highly specific  knowledge
  • 2.4. Activate and apply the acquired knowledge
  • 3. A scientific and systematif approach
  • 3.1. Conduct a clear,  structured, analytical  reasoning
  • 3.2. Collect, select  and  analyze  relevant  information
  • 3.3.Consider  problems using  a  systemic and  holistic  approach
  • 3.4. Perceptively  synthesize emonstrating a certain  conceptual distance
  • 3.5.Produce, through  analysis  and  diagnosis, implementable solutions
  • 7. Project management
  • 7.1.Analyse a project within its environment and define the expected outcomes
  • 7.2. Organize, manage and control the process
  • 7.3.Make decisions and  take responsibility  for them  in an uncertain world
At the end of this course, the student will be able to :
  1. Model operations management decisions
  2. Understand the influence of variability and uncertainty for operations management
  3. Analyze and solve real life operations management problems
  4. Model congestion for operations and supply chain management
 
Content
ANALYZING AND UNDERSTANDING THE EFFECT OF VARIABILITY FOR OPERATIONS MANAGEMENT
  • Variability basics
  • Push and Pull production systems
  • Total quality
  • Development of simulation models for production systems

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
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Lectures
Exercices
Problem based learning
Company visit
Real life case study in a company
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Continuous evaluation
  • Type of evaluation: Group work on a real case (groups of 4) + homeworks (groups of 2)
  • Comments: participation in the course and presentation of the progress of the work
Evaluation week
  • Oral: Yes
  • Written: No
  •  comments: Presentation of group work.
Examination session
  • Oral: No
  • Written: 3 hours
  •  comments: Individual Open Book Examination
  • Unavailability or comments:  September examination: written 3h, replaces only the written exam. The part of the evaluation related to the continuous evaluation will that of the semester.
Faculty or entity
CLSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] : Business Engineering
INGM2M
5
Master [120] : Business Engineering
INGE2M
5