M2 Supply Chain and Operations Management
The master program SCOM aims to train students in operations management and supply chain issues. The scope of the issues that are addressed is very wide since it includes i) long-term strategic decisions such as the establishment of industrial and logistical configurations; demand-capacity balancing; dimensioning of production and distribution resources, ii) medium-term tactical decisions such as resource planning, demand management and forecasting, iii) short-term operational decisions such as flow control, inventory management and scheduling.
The objective of SCOM is to provide students with a comprehensive understanding of the research issues encountered in operations management as well as operations research methods that are adapted to their solving.
The SCOM course is aimed at students who have completed the first year of a Master in Operational Research, Logistics, IT, Applied Mathematics, Economics/Management, as well as students from an engineering or business school, who have a particular interest in the modeling and optimisation of supply chain processes, and operations in general. To join the SCOM course, applicants must have studied the basics of operational research and show a high level of interest in Modeling/Formalisation of production/distribution systems for goods and services.
Clearly understand a problem in supply chain or operations management, and define its scope.
Be able to produce an overall report on a problem in operational research, supply chain or operations management.
Use and effectively develop the appropriate operational research models to deal with an operational management issue.
Be able to solve an operations management problem through the practice of approximation, simulation and experimentation.
SCOM graduates demonstrate advanced skills in the field of decision support, optimisation and operational research, coupled with a detailed knowledge of production/distribution processes in goods and services organisations.
The academic staff teaching the SCOM Master's programme have a long history of collaboration with industrial partners. Such collaboration helps to implement innovative processes and practices in partner organisations, involving the optimisation and organisation of aspects like production, logistics, distribution, etc. This results in substantial savings for the partner organisations, not only in terms of cost, but also in terms of service ratio of the systems concerned.
The SCOM course trains both students aiming for an academic career and engineers aiming for a career in business. Some students may choose to go on to doctoral studies, after which they will still have the choice between an academic career and a career in business.
Laboratoire Génie Industriel.
Les UEs en S1 visent principalement à former les élèves aux différentes problématiques de supply chain et management des opérations. Cela permet d'aborder et comprendre le périmètre large des problématiques. En plus, quelques UEs sont donnés afin de commencer à apprendre les outils de recherche opérationnelle qui peuvent être utilisés pour analyser et résoudre ces problématiques.
|Séminaire de recherche - Overview of Research on Operations Management||3||15|
|Séminaire de recherche - Approfondissement, modélisation||1.5||18|
|Projet de recherche (MT)||7||100|
|Prévisions et planification des opérations||2.5||18|
|Méthodes d'optimisation déterministe pour le management des opérations||2.5||18|
|Introduction au management des opérations||1||12|
|Formation à la recherche||3||27|
|Aide à la décision||1||12|
Les UEs en S2 visent principalement à former les élèves aux outils de recherche opérationnelle et data science pour analyser et résoudre les problématiques de supply chain et management des opérations. Il y a ensuite le stage recherche dans une entreprise ou un laboratoire de recherche.
|Simulation pour le management des opérations||2.5||3||15|
|Séminaire de recherche - Développement de modèle, validation, rédaction||1.5||18|
|Data analytics for Supply Chain & Operations||2.5||18|
|Data Analytics & Machine Learning||2.5|
All transcripts of the years / semesters validated since the high school diploma at the date of application.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).