IE3453 Engineering Quality Control Syllabus:
IE3453 Engineering Quality Control Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
• Developing a clear knowledge in the basics of various quality concepts.
• Facilitating the students in understanding the application of control charts and its techniques.
• Developing the special control procedures for service and process oriented industries.
• Analyzing and understanding the process capability study.
• Developing the acceptance sampling procedures for incoming raw material.
UNIT I QUALITY FUNDAMENTALS
Importance of quality- evolution of quality- definitions of quality- dimensions of quality- quality controlqualityassurance- areas of quality- quality planning- quality objectives and policies- quality costseconomicsof quality- quality loss function- quality Vs productivity- Quality Vs reliability.
UNIT II CONTROL CHARTS FOR VARIABLES
Process variation- preliminary decisions- control limits and their computation- construction and application of X bar, R and S charts- warning and modified control limits- process adjustment fortrend – Comparison of process variation with specification limits- O.C. curve for X bar chart.
UNIT III STATISTICAL PROCESS CONTROL
Process stability- process capability study using control charts- capability evaluation- Cp, Cpk and Cpm – capability analysis using histogram and normal probability plot- machine capability study gauge capability study- setting statistical tolerances for components and assemblies- individualmeasurement charts- X-chart, moving average and moving range chart, multi-vari chart.
UNIT IV CONTROL CHARTS FOR ATTRIBUTES
Limitations of variable control charts- Control charts for fraction non-conforming- p and np charts, variable sample size, operating characteristic function, run length- Control chart for nonconformities(defects)- c, u, ku charts, demerits control chart- applications.
UNIT V ACCEPTANCE SAMPLING
Need- economics of sampling- sampling procedure- single and double sampling- O.C. Curves Average outgoing quality- Average sample number- Average total inspection- Multiple and sequentialsampling- Standard sampling plans- Military, Dodge-Roming, IS 2500.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
Students will be able to:
CO1: Control the quality of processes using control charts for variables in manufacturing industries.
CO2: Control the occurrence of defective product and the defects in manufacturing companies.
CO3: Control the occurrence of defects in services.
CO4: Analyzing and understanding the process capability study.
CO5: Developing the acceptance sampling procedures for incoming raw material.
TEXT BOOKS:
1. Douglus C. Montgomery, “Introduction to Statistical Quality Control”, Wiley-India, Seventh Edition, 2013.
2. Krishnaiah K.,” Applied Statistical Quality Control and Improvement”, PHI, 2014.
REFERENCES:
1. AmitavaMitra, “Fundamentals of Quality Control and Improvement”, Wiley, Fourth Edition, 2015.
2. Dale H. Besterfield, Quality Control, Pearson Education Asia, Eigth Edition, 2008.
3. Eugene L. Grant and Richard S. Leaven Worth, “Statistical Quality Control”, McGraw-Hill Education, Seventh Edition, 2000.