Course Name: Quality Design and Control

Course abstract

The objective of the course is to introduce basic concepts and statistical methods employed for assurance of quality in products, processes and systems in an industrial environment (manufacturing and service organizations), such as Management and Control of Quality and Quality System, Statistical Process Control, Process Capability Analysis, Acceptance Sampling, Process Capability Analysis, Design for Reliability, Robust Design and Taguchi Method for Quality Improvement. Such a comprehensive course is required to be offered by Mechanical Engineering, Industrial Engineering, Manufacturing/Production Engineering and related departments at undergraduate level and by Management/Business schools at the postgraduate level in any renowned university or educational institute in India and abroad. It is essential that the students studying in these disciplines at UG and PG levels should enroll themselves in this course.


Course Instructor

Media Object

Prof. Pradip Kumar Ray

Pradip Kumar Ray is presently a Professor in the Department of Industrial and Systems Engineering, Indian Institute of Technology (IIT), Kharagpur, India. He served as the Head of the Department during September, 2006 to August, 2009. A mechanical engineering graduate (IIEST, Shibpur) with MTech degree and PhD in industrial engineering (IIT Kharagpur), Professor Ray has about more than thirty-six years of diversified experience - eight years in industry and more than twenty-eight years of teaching and research experience at IIT Kharagpur. He has served as a visiting professor at several institutions abroad and is trained in Japan on Production Management/JIT-based Manufacturing. He has published one text book titled ‘Product and Process Design for Quality Economy and Reliability’, thirteen book chapters, six lecture packages, and 162 papers in international and national journals of repute and conferences in the areas of quality design and control/TQM, healthcare systems management, productivity engineering, process optimization, ergonomics/human factors engineering, safety engineering and management and other related topics. His areas of interest and research include productivity modelling, quality engineering, ergonomics, healthcare quality management, engineering asset management and JIT-based/lean engineering and operations management. He has secured substantial number (27 till date) of industry and research grants. He has supervised 17 PhD scholars till date with 6 research scholars currently working under him. He has supervised more than 119 MTech and 74 B-Tech projects till date. He has coordinated several outreach training programmes and courses (more than 45) for industries and academic institutions on several topics, such as MHRD-sponsored four GIAN courses on Engineering Asset Management, Ergonomics and Human Factors Engineering, Production and Operations Management, and Quality Engineering in Products and Processes, and other courses on SPC, TQM, Six Sigma, JIT/Lean Engineering, Materials Management, Environment Management, Workplace Stress Management and Ergonomics including long-duration training programme on Industrial Safety Engineering and Safety Competence Building (SCB) in Material Handling for Tata Steel.


Teaching Assistant(s)

Kriti Karmakar

P.hD

 Course Duration : Jan-Apr 2020

  View Course

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 26-Apr-2020

Enrolled

959

Registered

10

Certificate Eligible

6

Certified Category Count

Gold

0

Silver

0

Elite

1

Successfully completed

5

Participation

1

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Quality Design and Control - Toppers list

GOURAB GHOSH 61%

RAMAKRISHNA MISSION VIVEKANANDA EDUCATIONAL AND RESEARCH INSTITUTE

Enrollment Statistics

Total Enrollment: 959

Registration Statistics

Total Registration : 57

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.