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Courses » Total Quality Management - I

Total Quality Management - I

About the course

This is the first part of the two part course (TQM-I, TQM-II) and will cover topics ranging from TQM, Kaizen, Elementary concepts related to quality assurance, Basic Statistical Concepts and Control of Accuracy and Precision, Process Capability, SPC, Acceptance Sampling and Quality Management Systems, ISO 9000, etc.

Intended Audience
Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, Phd in related fields as mentioned above.

Prerequisites
Probability & Statistics

Industries that will recognize this course
All service, manufacturing, industry, government department, any type of private industry.

4759 students have enrolled already!!

Course instructor



Prof. Raghu Nandan Sengupta completed his bachelors in engineering in Mechanical Engineering from Birla Institute of Technology Mesra, Ranchi INDIA and his FPM (PhD) from Indian Institute of Management Calcutta, INDIA with specialization in Operations Management. His research interests are in Sequential Analysis, Statistical & Mathematical Reliability, Optimization and its use in Financial Optimization. His research work has been published in journals like Metrika, European Journal of Operational Research, Sequential Analysis, Computational Statistics & Data Analysis, Communications in Statistics: Simulation & Computation, Quantitative Finance, etc. At Indian Institute of Technology Kanpur, INDIA he is a Professor in the Industrial & Management Engineering department and teaches courses like Probability & Statistics, Stochastic Processes & their Applications, Management Decision Analysis, Financial Risk Management, etc. He is also the recipient of IUSSTF Fellowship 2008 and visited Operations Research & Financial Engineering department at Princeton University, USA, ERASMUS MUNDUS Fellowship 2011 to Warsaw University, POLAND, EU-NAMASTE Fellowship 2015 to IST, University of Lisboa, PORTUGAL, DAAD Fellowship 2015 to TU Dresden, GERMANY.

Course layout


The main topics covered in the course are:

  • Total Quality Management and Quality Management Philosophies
  • Customer Value Evaluation, Kaizen, Problem Solving and Quality Management
  • Elementary concepts related to 7 Old and 7 New Tools for quality Assurance
  • Basic Statistical Concepts and Control of Accuracy and Precision
  • Process Capability, SPC, Acceptance Sampling
  • Quality Management Systems, ISO 9000

Suggested Reading

  • Introduction of Statistical Quality Control: Douglas C. Montgomery, John Wiley & Sons, 2009, ISBN: 978-0-470-16992-6
  • Total Quality Management: Dale H. Besterfield , Hemant Urdhwareshe , Mary Besterfield-Sacre , Carol Besterfield-Michna , Rashmi Urdhwareshe , Glen H. Besterfield, Pearson, ISBN: 978-81-7758-412-7
  • Design of Experiment: Douglas C. Montgomery, John Wiley & Sons, ISBN: 0-471-31649-0

More details about the course

Course url: https://onlinecourses.nptel.ac.in/noc17_mg18
Course duration: 08 weeks
Start date and end date of course: 21 August 2017-13 October 2017
Date of exam: 22 October, 2017
Time of exam: Shift 1: 9 am-12 noon; Shift 2: 2 pm-5 pm
Any one shift can be chosen to write the exam for a course

Final List of exam cities will be available in exam registration form.
Registration url - Announcements will be made when the registration form is open for registrations.
Exam Fee: The online registration form has to be filled and the certification exam fee of approximately Rs 1000 needs to be paid.
 


Certificate

E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score.

Final score = 25% assignment score + 75% exam score
25% assignment score is calculated as 25% of average of Best 6 out of 8 assignments 


Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of NPTEL and IIT Kanpur. It will be e-verifiable at
nptel.ac.in/noc.