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

Concept of quality control, total control and total quality management(TQM). Statistical methods in quality Improvement. Statistical Process Control (SPC). Statistical Quality Control. Shewhart control charts: philosophy, construction, advantages. CUSUM and moving average control charts: Average Run Length (ARL); Fast Initial Response (FIR). ARL and FIR for X, R, and S-charts. Process capability analysis: Designed Experiments. Process improvements using design of experiments. Taguchy Method. Orthogonal fractional factorial designs. Acceptance sampling for attributes and variables. Acceptance sampling plans: single, double, and multiple sampling plans with their O.C. curves, Military Standard  sampling plans. Introduction to ISO-9000 and ISO-14000 series

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:

              BS VII (R)         Tuesday (10:00-11:30)      Friday (10:00-11:30)

              BS VII (SS)       Monday (12:30-2:00)      Tuesay (2:00-3:30)