The aim of this course is to provide a strong mathematical and conceptual foundation in the methods of statistical quality control, with an emphasis on practical aspects of the interpretation and communication of statistically based conclusions in research. Content includes: review of the key concepts of estimation, and construction of Normal-theory based control charts. To produce the students, that has applicable knowledge about Statistical quality control, which they apply in different fields of practical life. To impart applied knowledge about quality and its tools to improve.To impart skills on the data collection, description measures of data interpretation of results, and decision making.

Contents

Introduction to statistical process control and its tools, Multivariate process monitoring through Hotelling T2 charts. Chi-square chart, generalized variance chart. Multivariate EWMA and CUSUM charts. Robustness and nonparametric approaches for process monitoring, Some Bayesian structures for quality control, Covariates and process improvement, Process capability study, Introduction of six sigma, Designed experiment and process monitoring, Acceptance sampling and acceptance sampling plans. Advancements in techniques for quality improvement and quality assurance, Taghuchi’s methods for quality control, Evolutionary operation and process improvement, Introduction to statistical software’s for SPC.

Reading Texts

1. Montgomery, D. C (2013). “Introduction to Statistical Quality Control”. 7th Edition, McGraw Hill, New York
2. Ryan, T.P (2011). “Statistical Methods for Quality Improvement”, 3rd Edition, Wiley Sons
3. Qiu, P. (2013). “Introduction to Statistical Process Control” Taylor and Francis

Distribution of Marks:
Mid Exam:           30

Final exam:         50
Sessional (Assignment,Presentation,Participation,Attendance,Quizes)    20
Scheduled on:      

M.Phil  1st:               Wednesday (02:00-05:00)