Study programme 2021-2022Français
Modeling and production management
Programme component of Master's in Mathematics à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-039-MOptional UEDE WOLF DanielW748 - Economie et gestion environnementales et de la production
  • DE WOLF Daniel

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français30000044.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
W-EGEP-009Production Management and Modelling - AAEP270000Q2
W-EGEP-012Production Management and Modelling - AAEHP30000Q2

Integrated test : there will be no assessment for each AA but a single assessment for the UE.
Programme component

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.
    • Use prior knowledge to independently learn high-level mathematics.
    • Read research articles in at least one discipline of mathematics.
  • Carry out major projects.
    • Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
    • Give constructive criticism on the quality and progress of a project.
  • Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
    • Mobilise knowledge, and research and analyse various information sources to propose innovative solutions targeted unprecedented issues.
    • Appropriately make use of computer tools, as required by developing a small programme.
  • Communicate clearly.
    • Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
    • make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
  • Adapt to different contexts.
    • Have developed a high degree of independence to acquire additional knowledge and new skills to evolve in different contexts.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE


The objective of the course is to give an introduction to the quantitative approach of business management problems such as: project management, stock management, production planning, capacity planning, etc. On the one hand, the basis to formulate these problems is taught. On the other hand, solution methods are introduced.

Content of UE


Chapter 1. Definition of production management
Chapter 2. Solution of linear problems and interpretation of solutions to linear problems
Chapter 3. Scheduling
Chapter 4. Stock management : the Wilson method
Chapter 5. Calendar stock management
Chapter 6. Production planning
Chapter 7. Just-In-Time methods
Chapter 8. Project planning
Chapter 9. Conception of a  production centre

Prior Experience

- UW-B2-SGEGIG-014-M  Mathématiques 2 
- UW-B2-SGEGIG-015-M  Statistique 2

Type of Assessment for UE in Q2

  • Presentation and/or works
  • Written examination

Q2 UE Assessment Comments

Closed book exam. Students only have the form, tables and a calculator. Any other document, whatever its medium is strictly prohibited.

Type of Assessment for UE in Q3

  • Written examination
  • eTest

Q3 UE Assessment Comments

Closed book exam. Students only have the form, tables and a calculator. Any other document, whatever its medium is strictly prohibited.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
W-EGEP-009
  • Cours magistraux
W-EGEP-012
  • Cours magistraux

Mode of delivery

AAMode of delivery
W-EGEP-009
  • From a distance
W-EGEP-012
  • From a distance

Required Reading

AARequired Reading
W-EGEP-009Note de cours - Gestion de production et modélisation - Daniel De Wolf
W-EGEP-012

Required Learning Resources/Tools

AARequired Learning Resources/Tools
W-EGEP-009
[1] BAGLIN Gérard, Olivier BRUEL, Laoucine  KERBACHE, Joseph NEHME et Christian VAN DELFT, Management Industriel et Logistique, 6ème Edition, Economica, Paris, 2013.
[2] GIARD Vincent, Gestion de la production et des flux, 3ème Edition, Economica, Paris, 2003.
[3] F.S. HILLIER et G.S. LIEBERMAN, Introduction to Operations Research, 10ème édition, McGraw-Hill Higher Education, New-York, 2014.
[4] J.O. MAC CLAIN, L.J. THOMAS et J.B. MAZZOLA, Operations Management: Production of Goods and Services, Prentice Hall, 1992.
W-EGEP-012
[1] BAGLIN Gérard, Olivier BRUEL, Laoucine  KERBACHE, Joseph NEHME et Christian VAN DELFT, Management Industriel et Logistique, 6ème Edition, Economica, Paris, 2013.
[2] GIARD Vincent, Gestion de la production et des flux, 3ème Edition, Economica, Paris, 2003.
[3] F.S. HILLIER et G.S. LIEBERMAN, Introduction to Operations Research, 10ème édition, McGraw-Hill Higher Education, New-York, 2014.
[4] J.O. MAC CLAIN, L.J. THOMAS et J.B. MAZZOLA, Operations Management: Production of Goods and Services, Prentice Hall, 1992.

Recommended Reading

AA
W-EGEP-009
W-EGEP-012

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
W-EGEP-009
Y. NORBERT, R. OUELLET et R. PARENT, La recherche opérationnelle, 3ème édition, Gaëtan Morin Editeur, Montréal-Paris, 2002.
W-EGEP-012
Y. NORBERT, R. OUELLET et R. PARENT, La recherche opérationnelle, 3ème édition, Gaëtan Morin Editeur, Montréal-Paris, 2002.

Other Recommended Reading

AAOther Recommended Reading
W-EGEP-009Not applicable
W-EGEP-012Not applicable
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de dernière mise à jour de la fiche ECTS par l'enseignant : 22/04/2021
Date de dernière génération automatique de la page : 06/05/2022
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