Advanced Operations Management : Models and Applications

llsms2032  2020-2021  Louvain-la-Neuve

Advanced Operations Management : Models and Applications
En raison de la crise du COVID-19, les informations ci-dessous sont susceptibles d’être modifiées, notamment celles qui concernent le mode d’enseignement (en présentiel, en distanciel ou sous un format comodal ou hybride).
5 crédits
30.0 h
Q2
Enseignants
Langue
d'enseignement
Anglais
Préalables
  • 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
Thèmes abordés
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.
Acquis
d'apprentissage

A la fin de cette unité d’enseignement, l’étudiant est capable de :

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
 
Contenu
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
Méthodes d'enseignement

En raison de la crise du COVID-19, les informations de cette rubrique sont particulièrement susceptibles d’être modifiées.

Lectures
Exercices
Problem based learning
Company visit
Real life case study in a company
Modes d'évaluation
des acquis des étudiants

En raison de la crise du COVID-19, les informations de cette rubrique sont particulièrement susceptibles d’être modifiées.

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.
Faculté ou entité
en charge


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

Intitulé du programme
Sigle
Crédits
Prérequis
Acquis
d'apprentissage
Master [120] : ingénieur de gestion

Master [120] : ingénieur de gestion