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)

Priyanka Saini

Ph.D, Management Studies

Sudeshna Rath

Ph.D, Management Studies

 Course Duration : Jan-Mar 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 22-Mar-2019

 Exam Date : 31-Mar-2019

Enrolled

2244

Registered

400

Certificate Eligible

305

Certified Category Count

Gold

4

Silver

66

Elite

128

Successfully completed

107

Participation

20

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 5 out of 7 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score

Note: Assignment 2 is excluded for final calculation.

Supply Chain Analytics - Toppers list
Top 1 % of Certified Candidates

SANJAY YADAV 91%

HINDUSTAN AERONAUTICS LIMITED

CHIRAG SURESH SAKHARE 90%

SHRI RAMDEOBABA COLLEGE OF ENGINEERING AND MANANGEMENT

KAMAKSHA PRASAD DASH 90%

THE SEARCH AGENCY

S.PRIYA 90%

SCMS COCHIN SCHOOL OF BUSINESS


Top 2 % of Certified Candidates

SNEHASHIS KHAN 88%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE

ASIF KHAN 88%

RAJKIYA ENGINEERING COLLEGE, MAINPURI


Top 5 % of Certified Candidates

SIDDHARTHRAM R 87%

INDIAN INSTITUTE OF TECHNOLOGY, DELHI

SUBHAM KUMAR BURNWAL 86%

NATIONAL INSTITUTE OF INDUSTRIAL ENGINEERING (NITIE)

SOMASUNDARAM R 86%

KONGU ENGINEERING COLLEGE

SWAPNA SEN 86%

JAGANNATH INTERNATIONAL MANAGEMENT SCHOOL, KALKAJI

VIJAYAKUMAR GANESAN 86%

INFOSYS LIMITED

K CHANDRA SEKHARA REDDY 85%

BMS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

SHILPA GUPTA 84%

ORIENT FASHIONS EXPORTS PVT LTD

MITHIL GHINAIYA 84%

VIT UNIVERSITY CHENNAI

JULIAN GNANA DHAS C 84%

SRI KRISHNA ARTS AND SCIENCE COLLEGE

Enrollment Statistics

Total Enrollment: 2244

Registration Statistics

Total Registration : 400

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.