Advanced Operations Management : Models and Applications

Note du 29 juin 2020
Sans connaitre encore le temps que dureront les mesures de distances sociales liées à la pandémie de Covid-19, et quels que soient les changements qui ont dû être opérés dans l’évaluation de la session de juin 2020 par rapport à ce que prévoit la présente fiche descriptive, de nouvelles modalités d’évaluation des unités d’enseignement peuvent encore être adoptées par l’enseignant ; des précisions sur ces modalités ont été -ou seront-communiquées par les enseignant·es aux étudiant·es dans les plus brefs délais.

5 crédits

30.0 h

Enseignants

Chevalier Philippe; Corluy Olivier (supplée Chevalier Philippe); Mishra Nishant;

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 :

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 :

Model operations management decisions
Understand the influence of variability and uncertainty for operations management
Analyze and solve real life operations management problems
Model congestion for operations and supply chain management

La contribution de cette UE au développement et à la maîtrise des compétences et acquis du (des) programme(s) est accessible à la fin de cette fiche, dans la partie « Programmes/formations proposant cette unité d’enseignement (UE) ».

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

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

Modes d'évaluation
des acquis des étudiants

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

CLSM

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

Intitulé du programme

Sigle

Crédits

Prérequis

Acquis
d'apprentissage

Master [120] : ingénieur de gestion

INGM2M

Master [120] : ingénieur de gestion

INGE2M