ME-419 / 5 crédits

Enseignant: Kaboli Amin

Langue: Anglais


Summary

Production management deals with the production of goods/services at the right time, quantity, and quality with the minimum cost. This course will arm students with hands-on tools for demand management, supply management, and digital transformation in manufacturing companies.

Content

Keywords

Demand Management, Supply Management, Forecasting, Production Planning, Capacity Planning, Inventory management, Smart Manufacturing, Factory of Future, Machine Learning & AI, Products vs Platforms.

Learning Prerequisites

Required courses

  • Probability and Statistics

Recommended courses

  • Continuous Improvement of Manufacturing Systems
  • Machine Learning & Deep Learning
  • Data Science for Business
  • Supply Chain Management

Important concepts to start the course

  • Data analysis using Excel
  • Active engagement
  • Advanced level of probability and statistics

Objective of this course

  • Understanding how a production company works.
  • Recognizing the critical challenges that a production company faces with.
  • Analyzing production of a given product/service.
  • Knowing how to lead and manage a given product/service from A to Z.

Learning Outcomes

By the end of the course, the student must be able to:

  • Choose production tools and methods based on performance and cost requirements and needs, taking into consideration applicability limits and associated hypotheses, CP8
  • Model , analyse and optimize the internal logistics of a production and distribution system and the dynamic behaviour of a network of companies, CP9
  • Design a system based on engineering specifications utilizing suitable numerical and analytical tools for optimizing the design parameters, CP10

Transversal skills

  • Assess progress against the plan, and adapt the plan as appropriate.
  • Communicate effectively, being understood, including across different languages and cultures.
  • Keep appropriate documentation for group meetings.
  • Manage priorities.
  • Negotiate effectively within the group.
  • Evaluate one's own performance in the team, receive and respond appropriately to feedback.
  • Demonstrate the capacity for critical thinking
  • Continue to work through difficulties or initial failure to find optimal solutions.
  • Write a scientific or technical report.
  • Take feedback (critique) and respond in an appropriate manner.
  • Demonstrate a capacity for creativity.
  • Take account of the social and human dimensions of the engineering profession.
  • Take responsibility for environmental impacts of her/ his actions and decisions.
  • Resolve conflicts in ways that are productive for the task and the people concerned.
  • Identify the different roles that are involved in well-functioning teams and assume different roles, including leadership roles.

Teaching methods

  • Formal lectures
  • Case studies
  • Project-based learning
  • Games and simulations
  • Videos
  • Articles and research papers
  • Guest speakers

Expected student activities

  • Individual: Self-study, Active class discussions, case evaluations, Q&A
  • In-group: Teamwork (respect, brainstorming, involvement and constructive feedback)

Assessment methods

Continuous evaluation of case reports, projects, individual and group presentations, class discussions, during the semester. More precisely:

  • 25% participation, and class engagement,
  • 45% class assignments, presentations, projects, and case reports,
  • 30% final exam (final report and presentation and understanding of the case)

Supervision

Office hours Yes
Assistants Yes
Forum Yes
Others

Resources

Virtual desktop infrastructure (VDI)

Yes

Bibliography

    Series of book chapters, hand-outs, and notes will be shared in the class. The following books are recommended;

    1. Vollmann, Berry, Whybark, Jacobs, "Manufacturing Planning and Control for Supply Chain Management", McGraw-Hill, 2011
    2. Daniel Kahneman, "Thinking Fast and Slow", Farrar, Straus and Giroux, 2013
    3. Ajay AgrawalAvi GoldfarbJoshua Gans, "Prediction Machines: The Simple Economics of Artificial Intelligence", Harvard Business Review Press, 2018
    4. Provost, "Data Science for Business", O'Reilly Media; 1st edition, 2013
    5. Charles W. Chase, "Demand-Driven Forecasting: A Structured Approach to Forecasting", 2nd Edition, 2013
    6. William Stevenson, "Operations Management", 12th Edition, 2016
    7. Nigel Slack, Alistair Brandon-Jones, Robert Johnston, "Operations Management",Pearson Education Limited, 2016
    8. Min-Jung Yoo and Rémy Glardon, "Manufacturing Operations Management: A complete course", World Scientific - UK, 2018
    9. Sunil Gupta, "Driving Digital Strategy", Harvard Business Review Press, 2018
    10. David Rogers, "The Digital Transformation Playbook", Columbia Business School Publishing, 2016.
    11. Karim R. Lakhani and Marco Iansiti, "Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World", Harvard Business Review Press; 2020.

      Ressources en bibliothèque

      Notes/Handbook

      • Course slides (main material)
      • Videos
      • Hand-outs during the semester

      Moodle Link

      Dans les plans d'études

      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Semestre: Automne
      • Forme de l'examen: Pendant le semestre (session d'hiver)
      • Matière examinée: Production management
      • Cours: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines
      • Projet: 2 Heure(s) hebdo x 14 semaines

      Semaine de référence

       LuMaMeJeVe
      8-9     
      9-10     
      10-11     
      11-12     
      12-13     
      13-14    AAC231
      CO017
      CO015
      CO016
      14-15    
      15-16    AAC231
      CO017
      CO015
      CO016
      16-17    
      17-18     
      18-19     
      19-20     
      20-21     
      21-22     

      Vendredi, 13h - 15h: Cours AAC231
      CO017
      CO015
      CO016

      Vendredi, 15h - 17h: Projet, autre AAC231
      CO017
      CO015
      CO016