Statistical Techniques for Quality Control

Paper Code: 
DSTT 501(B)
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

To explore and apply statistical techniques for quality control to improve product or process quality, minimize variability, and enhance overall organizational performance.

 

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

 DSTT 501(B)

Statistical Techniques for Quality Control

 

CO 51: Develop a comprehensive understanding of Statistical Quality Control (SQC) and its fundamental concepts, including the application of control charts for effective quality management and process control.

 

CO 52: Learn techniques and approach of SQC being used in industry to manufacture goods and services of high quality at low cost.

 

CO 53: Construct and interpret np-charts, p-charts, c-charts, and u-charts to visually monitor process performance, detect special causes of variation, and make informed decisions for process improvement.

 

CO 54: To assess the effectiveness of sampling plans by analyzing OC (Operating Characteristic) curves and devising appropriate inspection plans for rectification.

 

CO55:  Demonstrate advanced proficiency in the application of statistical quality control techniques, specifically focusing on the utilization of double sampling plans and standard tables to enhance the overall quality of products and processes.

Approach in teaching:

 

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

 

 

Learning activities for the students:

 

Assignments

Seminar

Presentation

Subject based  Activities

 

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

 

12.00
Unit I: 

Quality: Definition, dimensions of quality. Quality system and standards: Introduction to ISO quality standards. Statistical Process Control - Definition and Seven tools of SPC, chance and assignable causes of quality variation. 

12.00
Unit II: 

Statistical Control Charts- Construction and Statistical basis of 3-σ Control charts,Natural tolerance limits, Specification limits, Analysis of patterns on control chart. Control charts for variables: X-bar & R-chart & σ-chart.

12.00
Unit III: 

Concept of defects and defectives. Control charts for attributes: np-chart, p-chart, c-chart. Comparison between control charts for variables and control charts for attributes.

12.00
Unit IV: 

Product Control Sampling Plan: Acceptance Sampling for Attributes, AQL, AOQL, LTPD, process average fraction defective, consumer’s risk and producer’s risk, ASN, ATI,OC curve and  Rectifying inspection plan. Single sampling plan and its mathematical analysis.

12.00
Unit V: 

Double sampling plans and their mathematical analysis. Idea of Standard sampling tables: Dodge and Romig tables.

Essential Readings: 
  • Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991): Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta
  • Gupta, S.C. and Kapoor, V.K.(2000): Fundamentals of Applied Statistics, S Chand Company, New Delhi, tenth editions.
References: 

SUGGESTED READINGS:

  • Montgomery, D.C. (2001): Introduction to Statistical Quality Control, John Wiley and Sons, Third Edition.
  • Speigel M.R., (1967): Theory and Problem of Statistics, Schaum’s Publishing Series.
  • Guilford, J.P. and Fruchter B.(1980): Fundamental Statistics in Psychology and Education. Mc Graw Hill.
  • Grant, E.L. (1964): Statistical Quality Control, Mc Graw Hill.  

e-RESOURCES:

JOURNALS:

  • Sankhya The Indian Journal of Statistics, Indian Statistical Institute
  • Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
  • Afrika Statistika, Saint-Louis Senega University
  • International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
  • Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
  • Journal of the Indian Statistical Association, Indian Statistical Association
  • Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
  • Statistics and Applications, Society of Statistics, Computer and Applications
  • Stochastic Modeling and Applications, MUK Publications and Distributions
Academic Year: 
2023-2024
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