Advanced Operations Management : Models and Applications (in English)

Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.

5 credits

30.0 h

Teacher(s)

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

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 :

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

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

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

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

Evaluation methods

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

Master [120] : Business Engineering

INGE2M