Course Name: Supply Chain Analytics

Course abstract

In present time of intense global competition, customers are demanding more and more variety, with better quality and service at lowest cost. This means that in order to be successful, firms need to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximizing overall profitability. All supply chains, in order to function properly, must focus on the huge opportunity that exists in their analytics. Specific objectives: On successfully completing this course you will be able to: • Understand the importance of the basics of Business Analytics and Optimization • Understand the importance of the basics of Supply Chain Analytics and Optimization • Analyze the level of uncertainty associated with the supply of products and services to targeted customer segments and justify the choice of a supply chain strategy and its fit with competitive strategy. • Explain the role and applications of Descriptive Analytics in a Supply Chain • Explain the role and applications of Predictive Analytics in a Supply Chain • Explain the role and applications of Prescriptive Analytics in a Supply Chain • Learn the basics of Modeling through R Language


Course Instructor

Media Object

Prof. Rajat Agrawal

Dr. Rajat Agrawal is a member of faculty (Associate Professor) at Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee. He is associate faculty member at Center of Excellence for Disaster mitigation and Management and Center of Excellence for Transportation Management, IIT Roorkee. He administers various initiatives of IIT Roorkee in the field of IPR, incubation and entrepreneurship in different capacities.Dr. Rajat is a visiting fellow to Copenhagen Business School, Copenhagen, Denmark. His area of interest is Production and Operations Management including Supply Chain Management, Manufacturing Strategy and World Class Manufacturing. He has guided twelve Ph D thesis in these areas and published papers in journals of Emerald, Sage, Springer, Taylor and Francis, Elsevier, and Inderscience. He has more than 60 research papers in refereed journals and more than 25 research papers in refereed conference proceedings.


Teaching Assistant(s)

Manisha Bhardwaj

Ph.D., Department of Management Studies

Priyanka Saini

Ph.D., Management Studies

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

2179

Registered

249

Certificate Eligible

164

Certified Category Count

Gold

0

Silver

0

Elite

98

Successfully completed

66

Participation

15

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Supply Chain Analytics - Toppers list
Top 1 % of Certified Candidates

KARTHIKEYAN M 85%

MTAP TECHNOLOGY PVT LTD

THOTA VARUN KUMAR 85%

IIM Shillong


Top 2 % of Certified Candidates

RAGHUL GANAPATHY A 84%

FLEXTRONICS TECHNOLOGIES INDIA PVT. LTD.

ANIL BHANUDAS KHARDE 84%

INDIAN INSTITUTE OF TECHNOLOGY, BHUBANESWAR

SOMANI KUNAL PRADEEP 84%

COLLEGE OF ENGINEERING,PUNE


Top 5 % of Certified Candidates

GADDAM UTTEJ REDDY 83%

TV SUNDRAM IYENGAR & SONS PRIVATE LIMITED

LAVLESH RAJ 81%

IIT MADRAS

HITARTH PATEL 81%

NA

MITANSHU KHURANA 81%

MUKESH PATEL SCHOOL OF TECHNOLOGY MANAGEMENT AND EMGINEERING

Enrollment Statistics

Total Enrollment: 2179

Data Not Found..!
Data Not Found..!

Assignment Statistics




Assignment

Exam score

Final score

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.