Course Name: Modelling and Analytics for Supply Chain Management

Course abstract

This course focuses on the application of analytical techniques for determining effective solutions to problems associated with supply networks considering the constraints of demand and supply. The objectives of the course are to understand the nature of supply networks, goal of supply networks and explain the impact of analytics based supply chain decisions on the success of a firm. The coverage includes key metrics that track the performance of the supply network in terms of each driver, identification of the key factors to be considered when designing a distribution network and use of analytical techniques for developing a framework for network design. Emphasis is laid on the use of optimization techniques for facility location, capacity allocation and evaluation of supply chain design decisions under uncertainty. Along with these objectives, this course is also aimed at understanding the concepts of multi-criterion decision making in supplier selection and rating, inventory management techniques under uncertain demand and supply environment, mathematical models for design of transportation networks, and the role of soft computing techniques for matching supply with demand.


Course Instructor

Media Object

Prof. Kunal Kanti Ghosh

Prof. Kunal Kanti Ghosh has over three decades of experience at various levels in the automobile industry. He was the "Corporate Initiatives Head" of Tata Technologies Ltd and was adjudged the "Best Young Materials Manager" by the Indian Institute of Materials Management in 1986. He also received the "Best young Manager's Award" from All India Management Association in 1990. He was the prime architect of "Parts Supply Management System" for Nissan Plant in Australia, Melbourne.
More info
Media Object

Prof Anupam Ghosh

Prof Anupam Ghosh obtained Masters Degrees with specializations in Supply Chain Management, Accounting, and Commerce. His PhD is on Information Visibility in Supply Chain. He has about 13 years of teaching experience in Supply Chain Management, Supply Chain Analytics, and International Marketing. He was a Visiting Scholar to Bentley University, Waltham, MA, USA during 2004-05. He has worked on projects on Healthcare Information Systems in USA, Fixing Transportation Fares for Public Transportation Systems in India, and has conducted various Management Development Programs on Supply Chain Management and Materials Management.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2022

  View Course

 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Mar-2022

 Exam Date : 24-Apr-2022

Enrolled

Will be announced

Registered

Will be announced

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Silver

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





Legend

Final Score Calculation Logic

Enrollment Statistics

Total Enrollment: 1773

Assignment Statistics




Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.