Amine Chaabane


Digital Supply Chain

Digital Supply Chain


In this online  MasterCamp© entitled “Digital Supply Chain”, you will gain an in-depth understanding of the latest technology, tools, and techniques used to optimize supply chain operations. You will learn how to leverage digital transformation to improve supply chain efficiency, reduce costs, and increase customer satisfaction.


  • To enroll in this  MasterCamp©, you should have a basic understanding of supply chain management concepts and principles. Familiarity with digital technologies such as cloud computing, artificial intelligence, and big data analytics is also recommended.


This  MasterCamp© is designed for supply chain professionals, logistics managers, procurement specialists, and anyone interested in learning how to optimize supply chain operations using digital technologies. It is also suitable for business owners and entrepreneurs who want to gain a competitive advantage by improving their supply chain management capabilities.

  • Access to online course materials, including video lectures, case studies, and quizzes Hands-on exercises and simulations to apply the concepts learned Opportunities to network and collaborate with other supply chain professionals A certificate of completion upon finishing the  MasterCamp©.
  • The key components of a digital supply chain and how to implement them The latest trends and innovations in supply chain management How to use data analytics and business intelligence to optimize supply chain performance
    The role of artificial intelligence and machine learning in supply chain management Best practices for managing global supply chains and mitigating supply chain risks Strategies for improving supply chain visibility and collaboration


  • By the end of this MasterCamp™, you will have developed the following skills:
    Ability to identify opportunities for digital transformation in supply chain operations Knowledge of the latest digital technologies used in supply chain management Expertise in using data analytics and business intelligence to optimize supply chain performance Understanding of how to leverage artificial intelligence and machine learning to improve supply chain operations Ability to mitigate supply chain risks and improve supply chain collaboration
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My Story

Professor Amin Chaabane is an experienced and accomplished academic in the field of Industrial Engineering. He has been a Professor at the École de technologie supérieure (ÉTS) in Montreal, Canada since January 2011, where he teaches courses and conducts research in the areas of Planning, Manufacturing, Logistics, and Sustainable Supply Chains under environmental regulation.

Before becoming a Professor, he worked at ÉTS as a Lecturer and Research Assistant from May 2006 to December 2010. During this time, he focused his research on the development of multi-criteria and multi-objective optimization techniques for better Decision Support Systems, with real applications in the aeronautic industry, specifically in supply chain management of motor engines manufacturing company.

He also has experience working as a Visiting Faculty member at the University of Sharjah in the United Arab Emirates for two months in 2016 and as a consultant for PMGI MAGHREB in Tunisia for four months in 2005.

Professor Chaabane obtained his Ph.D. in Industrial Engineering from ÉTS in 2010, and his research work during his Ph.D. program focused on developing decision support systems for manufacturing systems, specifically in the area of multi-criteria decision-making. Overall, his research work has contributed to the development of novel optimization methods and algorithms for various real-world problems in the field of industrial engineering.

Where I’ve Worked

2005 - Now
Professor - École de technologie supérieure (ÉTS - Canada)
2016 - 2017
Visitign Professor - University of Sharjah

Skills you will gain

Supply Chain

  • Forecasting
  • Logistics
  • Supply Chain
  • Lean Six Sigma
  • Supply Chain Risk Management
  • Warehouse Management
  • Logistics Planning
  • Inventory
  • Six Sigma
  • Demand Forecasting
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