Continuous improvement of manufacturing systems
ME-498 / 4 crédits
Enseignant: Kaboli Amin
Langue: Anglais
Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.
Summary
Continuous Improvement (CIP) deals with creating and delivering value to customers; internal and external. This course will arm students with practical skills and hands-on tools to lead sustainable change in manufacturing/service companies and make a difference.
Content
This course is based on the following four modules:
Module 1- Introduction to Continuous Improvement
- What is Continuous Improvement (CIP) and why all manufacturing/service companies need it?
- What is value and how to create and deliver it?
- What are the main pillars of driving and leading sustainable change?
Module 2- People (Leadership for Engineers)
- Leading Self (Growth mindset, emotional intelligence, building connection and trust)
- Leading Others (Effective communication, conflict resolution, developing your leadership style, leading teams)
- Leading Complex Systems (System dynamics & systems thinking, sustainability & business ethics, social responsibility & awareness, responsible engineering practises)
Module 3- Process (Leading Operational Excellence)
- Operations Improvement/Operational Excellence (Problem solving vs appreciative inquiry, design thinking, operations imporvement tools)
- Lean Operations (Principle of lean system, lean building blocks, lean tools)
- Capacity & Constraint Management (Capacity planning, bottleneck analysis, Theory of Constraints (TOC))
- Facility Layout (Product and process layouts, line balancing)
- Quality Management (Product and service quality, quality costs, quality tools, Total Quality Management (TQM), quality tools, quality control)
- Quality Control (Inspection, acceptance sampling, control process (Variables: mean charts, R charts, Attributes: P-chart, C-chart), process capability, six sigma)
- Leading Sustainable Change (Why change projects fail, emotions of change, change management, change models, communicating a change plan, effective crisis management)
Module 4- Technology (Leading Digital Transformation)
- Smart Manufacturing/Industry 4.0 (Innovation and Disruption, Connectivity, Cyber-Physical Systems)
- Platforms & Digital Ecosystems (From Product to Platforms, Benefits, Challenges, Rolle out, Governance)
- Defining a Digital Roadmap (Mapping Industries, Digital Transformation Frameworks, Defining Your Roadmap, Simplifying the User Experience)
- Disruptive Technologies in Manufacturing (Artificial Intelligence and Machine Learning, Data Analytics, Automation and Robotics, Augmented Reality and Virtual Reality, Block Chain Technology, Cloud Computing, Cybersecurity, Drones, Digital Twins, 3D Printing/Additive Manufacturing, Industrial Internet of Things (IIoT), Human-Machine Interaction, Wearables, 5G, ...)
- Moving From Lean to Digital Lean (Agile, Scrum, Digital Technologies Boosting Operational Excellence)
- Cybersecurity & Cyberattack (Digital Trust, Cyber Resilience, Digital Crisis Management)
Keywords
Continuous improvement, Operational Excellence, Value, Flow, Leadership for Engineers, Emotional Intelligence, Leading Sustainable Change, Change, Transformation, Transition, Value Chain, Lean Management, Value Stream Mapping, Process Mapping, Quality Management, Leading Digital Transformation.
Learning Prerequisites
Required courses
- Probability and Statistics
Recommended courses
- Production Management
- Machine Learning & Deep Learning
- Data Science for Business
- Supply Chain Management
Important concepts to start the course
- Data analysis with Excel
- Active engagement
- Advanced level of probability and statistics
- Openness and willingness to make change and transformation
Learning Outcomes
By the end of the course, the student must be able to:
- Understand the fundamentals of change initiatives (from continuous improvement to transformation)
- Learning how to communicate change and manage emotions of change
- Evaluate and analyze a system performance
- Design and execute a change plan for a system with people and not for them
Transversal skills
- Plan and carry out activities in a way which makes optimal use of available time and other resources.
- Assess progress against the plan, and adapt the plan as appropriate.
- Evaluate one's own performance in the team, receive and respond appropriately to feedback.
- Write a scientific or technical report.
- Communicate effectively, being understood, including across different languages and cultures.
- Negotiate effectively within the group.
- Set objectives and design an action plan to reach those objectives.
- Chair a meeting to achieve a particular agenda, maximising participation.
- Resolve conflicts in ways that are productive for the task and the people concerned.
- Make an oral presentation.
- Take account of the social and human dimensions of the engineering profession.
- Identify the different roles that are involved in well-functioning teams and assume different roles, including leadership roles.
- Take responsibility for environmental impacts of her/ his actions and decisions.
Teaching methods
- Formal lectures
- Case studies
- Project-based learning
- Games and simulations
- Videos
- Articles and research papers
- Guest speakers
The course is based on the implementation of theoretical concepts and models to practical cases. Students work in a group on multiple cases during the whole semester.
Expected student activities
- Individual: Self-study, active engagement and class discussions, case evaluations, Q&A
- In-group: Teamwork (respect, brainstorming, engagement and giving effective feedback)
Assessment methods
Continuous evaluation of case reports, projects, individual and group presentations, class discussions, during the semester. More precisely:
- 25% presence, 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:
- Daniel Kahneman, "Thinking Fast and Slow", Farrar, Straus and Giroux, 2013
- Daniel Goleman, "Emotional Intelligence", Random House, 2007
- Chade-Meng Tan, "Search inside Yourself",HarperOne, 2014
- George Kohlrieser, "Hostage at the Table", John Wiley & Sons Inc, 2006
- Douglas Stone, Bruce Patton, Sheila Heen, "Difficult Conversations", Penguin, 2011
- Peter Senge, "The Fifth Discipline", Doubleday, 2006
- John Sterman, "Business Dynamics: Systems thinking and modeling for a complex world", McGraw Hill, 2000
- John Kotter, "Leading Change", Harvard Business Review Press, 2012
- Provost, "Data Science for Business", O'Reilly Media; 1st edition, 2013
- Nigel Slack, Alistair Brandon-Jones, "Operations Management", 2018
- Sunil Gupta, "Driving Digital Strategy", Harvard Business Review Press, 2018
- David Rogers, "The Digital Transformation Playbook", Columbia Business School Publishing, 2016
- Ajay Agrawal, Avi Goldfarb, Joshua Gans, "Prediction Machines: The Simple Economics of Artificial Intelligence", Harvard Business Review Press, 2018
- 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
- Hostage at the table / Kohlrieser
- The Fifth Discipline / Senge
- Leading Change / Kotter
- Driving Digital strategy / Gupta
- Operations Management / Slack
- Emotional Intelligence / Goleman
- Business Dynamics: Systems thinking and modeling for a complex world / Sterman
- Difficult Conversations / Stone
- The Digital Transformation Playbook / Rodgers
- Thinking Fast and Slow / Kahneman
- Search inside Yourself / Tan
- Data science for business / Provost
- Driving Digital Strategy / Gupta
- Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World / Lakhani
- Prediction Machines: The Simple Economics of Artificial Intelligence / Agrawal
Notes/Handbook
- Course slides (main material)
- Videos
- Hand-outs
Dans les plans d'études
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Nombre de places: 50
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Continuous improvement of manufacturing systems
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
Semaine de référence
Lu | Ma | Me | Je | Ve | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
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21-22 |
Légendes:
Cours
Exercice, TP
Projet, autre