Code
MGFE OPM 5150
Niveau
M2
Discipline
Logistique, supply chain, etc.
Langue
Anglais/English
Crédits ECTS
3
Heures programmées
20
Charge totale étudiant
60
Equipe pédagogique
Introduction au module
This module provides students with the core principles of Supply Chain planning, from demand forecasting through to the development of a feasible supply plan.
Bloc de compétences
- 3. Communiquer stratégiquement dans des environnements globaux et multiculturels
Objectifs d'apprentissage du cours
• Describe end-to-end Supply Chain operations and their financial implications
• Develop, analyse and challenge a forecast using the main forecasting methods and performance indicators
• Translate demand into a feasible supply plan
• Manage inventories, replenishment, capacity and operational constraints
• Balance service levels, costs,
• Explain the role of demand forecasting as the foundation of supply chain planning.
• Apply qualitative and quantitative forecasting methods, including time series and causal/regression techniques.
• Measure and interpret forecast accuracy using standard error metrics (MAPE, MAD, bias, tracking signal).
• Translate a demand forecast into a supply plan while accounting for the bullwhip effect and safety stock.
• Describe the Sales & Operations Planning (S&OP) process and collaborative forecasting practices such as CPFR.
• Evaluate the role of AI/ML-based tools in modern demand forecasting.
Contenu : structure du module et agenda
- Introduction to Supply Chain Management (1 hour):
- Demand Planning (5 hours): Develop a forecast, facilitate consensus and monitor performance.
- Demand Planning Workshop (2 hours 30 minutes): Develop and present a consensus forecast.
- Supply Planning (5 hours): Develop a feasible plan that accounts for inventory, capacity and operational constraints.
- Supply Planning Workshop (2 hours 30 minutes): Balance service levels, inventory, capacity, costs and risk.
- Foundations of Demand Forecasting (2 hours): Role of forecasting in global supply chains · qualitative vs quantitative methods · time series methods · forecast accuracy metrics.
- Supply Planning, S&OP & Collaborative Forecasting (2 hours): From forecast to supply plan · bullwhip effect & safety stock · S&OP process · CPFR · AI/ML in forecasting.
Contribution à l'atteinte des ODD (Objets du Développement Durable)
This course addresses Goal 9 (Industry, Innovation, and Infrastructure) of the UN Sustainable Development Goals. It focuses on developments in the industrial sector's technical capabilities, specifically in supply chain enterprises.
Nombre d'ODD abordés parmi les 17
1
Apprentissage
synchrone
Système de notation et modalités de rattrapage
Each 2-hour session combines a structured lecture with applied exercises, short case discussions, and knowledge checks.
Règlement du module
Professor-Student Communication:
The professor will contact students only through their school email address; no communication will take place via personal email addresses. Students are responsible for checking their IMT-BS/TSP mailbox regularly. To reach the professor, students should email their institutional address. Meetings can also be arranged by appointment.
Accommodating Student Needs:
Students with a disability that may prevent them from completing coursework, or who require any accommodation, should inform the program director as soon as possible (with supporting documentation). Students are also encouraged to discuss their situation directly with the professor as well.
Class Behaviour:
Out of respect for the professor and fellow students, all phones, electronic games, and other sound-generating devices must be switched off during class. Students should avoid disruptive or disrespectful behaviour, including but not limited to arriving late, leaving early, sleeping, reading non-course material, using inappropriate language, talking over others, or eating and drinking in class. A warning will be issued for a first offence; repeated violations may result in penalties, expulsion from class, and/or further disciplinary action. A grace period of 5 minutes is allowed for tardiness. Attendance is recorded on Edusign during this window via a QR code provided at the start of class. Students must arrive on time for exams and other assessments. Once the first student has finished and left the exam room, no one else may enter; there is no exception to this rule. No student may continue working once time is up, and no student may leave the room during an examination unless they have finished and submitted all materials.
Honor Code:
IMT-BS upholds a strict policy of academic honesty. Any conduct that compromises this policy may result in academic and/or disciplinary sanctions. Students must not cheat, lie, plagiarise, or misrepresent others' work as their own. This means submitting original work and properly crediting any ideas or material that are not one's own, including materials paraphrased, quoted, or taken from the internet. This also means disclosing any use of AI in an assignment, including details on how it was used. Any student who violates, or assists another student in violating, these academic standards will be penalised according to IMT-BS policy.
Références obligatoires et lectures suggérées
• Chopra, S., & Meindl, P. (2022). Supply Chain Management: Strategy, Planning, and Operation (7th ed.). Pearson.
• Hyndman, R. J., & Athanasopoulos, G. (2021). Forecasting: Principles and Practice (3rd ed.). OTexts.
• Silver, E. A., Pyke, D. F., & Thomas, D. J. (2016). Inventory and Production Management in Supply Chains (4th ed.). CRC Press.
• Wallace, T. F., & Stahl, R. A. (2008). Sales and Operations Planning: The How-To Handbook (3rd ed.). T.F. Wallace & Company.
• VICS (Voluntary Interindustry Commerce Solutions). CPFR Guidelines and Roadmap.
Mots-clés
Demand Forecasting, Supply Forecasting, Supply chain