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Supply-Chain Analytics

  • Enseignant(s): S.De Treville
  • Titre en français: Gestion logistique en Business Analytics
  • Cours donné en: anglais
  • Crédits ECTS: 6 crédits
  • Horaire: Semestre de printemps 2018-2019, 4.0h. de cours (moyenne hebdomadaire)
  •  séances
  • Formations concernées:
    Maîtrise universitaire ès Sciences en management, Orientation comportement, économie et évolution

    Maîtrise universitaire ès Sciences en management, Orientation business analytics

    Maîtrise universitaire ès Sciences en management, Orientation stratégie, organisation et leadership

    Maîtrise universitaire ès Sciences en management, Orientation marketing

[attention] Le syllabus du cours est entrain d'être modifié par le professeur responsable. Veuillez consulter cette page à nouveau dans quelques jours. --- A titre informatif uniquement, voici l'ancien syllabus :

Objectifs

This course aims to help the participants to gain strong intuition regarding various trade-offs in supply chain management, and equip them with necessary skills to develop analytical or simulation models to analyze complex supply chain problems. We will cover both classical and contemporary models in operations and supply chain management. After the course the students will have acquired an advanced set of skills and tools to solve challenging supply chain problems in practice. We will analyze several cases, most of which are available from Harvard Business Publishing. These cases are geared to allow participants to apply analytical tools in a realistic setting.

At the end of the course, the students are expected to know

  • Understanding of basic operations “laws” and trade-offs
  • How to estimate demand volatility and how it increases in lead time.
  • How to make supply match demand and how to shape demand to benefit from supply chain design
  • How to set a profit-maximizing order quantity, calculate the resulting fill rate, and determine the cost of demand volatility exposure.
  • How to develop an effective inventory control policy for a specific business problem.
  • How to cut lead times in operations, both by improving flow and improving the quality of what is produced.
  • Process analysis and Queuing theory
  • How to apply the Monte Carlo (MC) simulation method to supply chain problems.
  • How to develop an effective omni-channel retailing strategy.
  • How to finance trade and supply chain investments.

Contenus

Topics

  1. Measuring demand volatility
  2. Balancing overstocks and understocks: The newsvendor model
  3. The cost of responsiveness: The cost-differential frontier
  4. Risk pooling
  5. Creating a volatility portfolio of products
  6. Process analysis
  7. Queuing theory
  8. Statistical process control
  9. Inventory control models
  10. Monte Carlo methods for solving supply chain problems
  11. Demand forecasting methods
  12. Operational flexibility
  13. Omni-channel retailing
  14. Supply chain finance


Course organization

This course contains 14 lectures in a time period of 14 weeks. The first seven weeks will be taught by Lauri Saarinen and the second half of this course will be taught by Isik Bicer.

Références

Required course materials

  • Case studies available on the Harvard University website.
  • Other materials (e.g., slides) distributed either in class or online.

Participants are required to acquire course materials from the Harvard Business School Press at a cost per student of approximately USD 40. Details will be available on Moodle.

Software

  • MS Excel
  • Maple TA and ForClass web-based software will be used during the course. Details will be available on Moodle.

Pré-requis

  • Gestion des opérations, or similar introductory course for operations is required
  • Participants should know the basics of statistics and have a basic knowledge of MS Excel to succeed in this course.

Evaluation


 

1ère tentative


 
Examen:
Sans examen (cf. modalités)  
Evaluation:

The course evaluation will be based on

  • Quizzes (4x1h Maple TA) 50%
  • Case pre-class and in-class assignments (ForClass) 20%
  • Two project assignments (group assignment) 25%
  • Participation (in class or on the Forum) 5%

 

Rattrapage


 
Examen:
Sans examen (cf. modalités)  
Evaluation:

  • Exam: Exam to compensate for the Quizzes
  • Evaluation: Grades received from participation, assignments, and the games will be retained. A 2-hour online quiz will be given in the CEI during the exam session that will replace the quiz grades. All documentation is permitted, and any calculator generally accepted for exams at HEC. The computer screen must remain on the quiz and in fullscreen mode during the entire session.



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