Applications of AI/ML in Operations & Supply Chain Management

Upon successful completion of this program, participants  

1) will be familiarized with the concepts of AI and ML.  

2) will be able to formulate, solve and analyze complex operations and supply chain management problems systematically. 

3) will be able to apply various AI and ML tools in real life decision making, specifically in the context of operations and supply chain management. 

4) will learn coding and solving the operations and supply chain management problems in Python. 

Day 1:

• Opportunities for AI/ML Applications in Operations and Supply Chain Management
• Supervised Learning Algorithms
  • Linear Regression Analysis
  • Logistic Regression Analysis
  • Case Studies/Applications in Operations and Supply Chain Management

Day 2:

• k-Nearest Neighbours (KNN)
• Decision Tree
• Random Forest
• Boosting Algorithms
• Case Studies/Applications in Operations and Supply Chain Management

Day 3:

• Unsupervised Learning Algorithm
  • k-Means Clustering
  • Hierarchical Clustering
• Reinforcement Leaning Algorithms
  • Markov Decision Problems
• Case Studies/Applications in Operations and Supply Chain Management

This training program is designed for web-based learning with hands-on exercises for executives in managerial positions in any organization. 

1. Registration fees include the following:

   For all the participants:

   • Online sessions
   • Online study material
   • Certificate for course completion

     Registration Terms & Conditions:

     A. Upon payment of program fees registrations are tentatively confirmed. The final confirmation on the commencement of the program shall be communicated latest 2 weeks before (offline program) & 1 week before (online program) for the scheduled start date of the program.
     B. Refund policy
     Fees once paid can be adjusted up to 1 financial year against future nominations only. In case a course is canceled on account of inadequate participation or any other unforeseeable reasons, the participants will be informed of the cancellation by e-mail or Fax and the fee will be refunded. IIM Mumbai will not be liable for any other expenses incurred by the company or the participant. Any transaction fee will not be refunded.
     C. IIM Mumbai is not responsible for any other expenses borne by the participants due to rescheduling/cancellation of its MDPs.

2. Individual Registration

   If you wish to register & make payment, please click here Register

3. Company-sponsored / Bulk Registration:

   • In the case of company-sponsored candidates, please share the nomination list and GST details to program@www.iimmumbai.ac.in for invoice generation.

     Download the INVOICE DETAILS FORM

   • Note: Discount is applicable for 5 or more participants from same organization against invoice.