Objectives of Programme's Learning Outcomes

• Have integrated and elaborate mathematical knowledge.
• Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
• Read research articles in at least one discipline of mathematics.

Learning Outcomes of UE

plan a workshop layout;
plan a project, with or without ressources constraints;
optimize a production workshop applying exact methods or metaheuristics;
manage an inventory;
control a MRP or Kanban policy or a supply chain (ERP);
manage dynamic programming.

Content of UE

dynamic programming;
workshop layout;
project scheduling: CPM and MPM methods; ressources and cost analysis.
production scheduling: one machine and parallel machines models; flow shop; job shop; exact methods, heuristics, metaheuristics ; case studies
inventory management;
production planification: MRP and Kanban methods;
supply chain and ERP.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

• Written examination

Q2 UE Assessment Comments

Written examination, on theory and exercises, concerning also articles of the scientific literature

Type of Assessment for UE in Q3

• Written examination

Q3 UE Assessment Comments

Written examination, on theory and exercises, concerning also articles of the scientific literature

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable