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. 

1. To impart applied knowledge about quality and its tools to improve
2. To impart skills on the data collection, description measures of data interpretation of results, and decision making

Contents

Statistical quality control: measurement and control of quality, control charts for Xbar and R and Sigma, charts for P, C and U., O.C. curves associated with control charts, CUSUM Charts, Leaf and Stem Plots, Box Plot, Producer’s risk and consumer’s risk, Acceptance sampling: single and double sampling plans, introduction to multiple sampling plans, Intentional quality standards and their certification, Quality management through quality circles, re-engineering etc, Case study. 

Readings

1. Montgomery, D. C (2009). “Introduction to Statistical Quality Control”. 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:

MSc III (R)       Tuesday (9:00-10:00)     Wednesday(8:00-9:00)       Thursday(12:00-1:00)