Study programme 2018-2019Français
Recherche opérationnelle
Programme component of Master's Degree in Computer Engineering and Management à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIG-011-MCompulsory UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
  • VANDAELE Arnaud
  • GILLIS Nicolas

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français301800044.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-010Applied Production Management1212000Q250.00%
I-MARO-015Stochastic Models of Operations Research186000Q250.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
    • Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
    • Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Exploit project management principles and tools, particularly the work plan, schedule, document monitoring, versioning and software development methodologies.
    • Respect deadlines and timescales
  • Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
    • Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
    • Contribute to the management and coordination of a team that may be composed of people of different levels and disciplines.
    • Make decisions, individually or collectively, taking into account the parameters involved (human, technical, economic, societal, ethical and environmental).
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Argue to and persuade customers, teachers and boards, both orally and in writing.
    • Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Analyse their personal functioning and adapt their professional attitudes.
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
    • Exploit the different means available in order to inform and train independently.
  • Contribute by researching the innovative solution of a problem in engineering sciences.
    • Construct a theoretical or conceptual reference framework, formulate innovative solutions from the analysis of scientific literature, particularly in new or emerging disciplines.
    • Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
    • Collect and analyse data rigorously.
    • Adequately interpret results taking into account the reference framework within which the research was developed.

Learning Outcomes of UE

- Model a system using a Markov chain and determine its behavior;  - propose a solution to deal with a queuing system.  & Waiting systems & contributing to the layout of a workshop;
Planning a project, with or without resource constraints;
Contribute to the planning of production workshops, through the application of exact methods or metaheuristics;
Implement an effective stock management policy;
Implement MRP and KANBAN planning methods;
Mastering the logistics chain of the company (ERP, ...);
Mastering dynamic programming. Plan a workshop layout;
Plan a project, with or without resources constraints;
Optimize a production workshop.
Manage an inventory;
Control a MRP or Kanban policy or a supply chain (ERP);
Manage dynamic programming.

Content of UE

This UE contains two AA's. One more theoretical about graphs and combinatorial optimization (models, methods, applications) and one where the students have to develop a model with an algorithmic solution for an industrial client (with a user interface). The second computer-aided prodiction planning. We refer to the AA's for more details. 

Prior Experience

Probability and statistics, optimisation

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 Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-010
  • Cours magistraux
  • Exercices dirigés
  • Utilisation de logiciels
  • Travaux pratiques
  • Etudes de cas
I-MARO-015
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations

Mode of delivery

AAMode of delivery
I-MARO-010
  • Face to face
I-MARO-015
  • Face to face

Required Reading

AA
I-MARO-010
I-MARO-015

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-010Not applicable
I-MARO-015Slides

Recommended Reading

AA
I-MARO-010
I-MARO-015

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-010Not applicable
I-MARO-015Sans objet

Other Recommended Reading

AAOther Recommended Reading
I-MARO-010Not applicable
I-MARO-015Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-010Authorized
I-MARO-015Authorized
(*) 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 génération : 02/05/2019
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