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Operations Management and Factory Physics [ 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 of arts in Business engineering
Faculty or entity
in charge
> CLSM


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