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Course Info

About this Course

This course will discuss methods in statistical quality control from basic principles to concepts and applications. The objective is to lay a foundation for the student to apply the methods in a variety of situations and to promote lifelong learning. Topics include the design and application of statistical quality control procedures, acceptance sampling, and quality improvement tools.

Course Syllabus

Introduction
Definitions of Quality
Brief History of Quality Control & Improvement
Statistical Methods in Quality Control & Improvement
Seven basic quality tools

Control Charts in General
Statistical basis for control charts
Causes for variations
Analysis of patterns in control charts

Control Charts for Variables
Selection of Characteristics for Investigation
Control Charts for Mean and Range
Control Charts for Mean and Standard Deviation
Control Charts for Individual Measurements

Control Charts for Attributes
Advantages and Disadvantages of Attributes Charts
Control Charts for Fraction Nonconforming (p and np charts)
Control Charts for Nonconformities (c and u charts)

Process Capability Analysis
Specification Limits and Control Limits
Histogram, Probability Plots
Process Capability Ratios
Gauge and Measurement System Capability Studies

Time Weighted Control Charts
Cumulative Sum Control Charts (CUSUM)
Exponential Weighted Moving Average Control Charts (EWMA)
Moving Average Control Charts

Basic Acceptance Sampling Procedures
The Acceptance Sampling Problem
Single Sampling Plan for Attributes
Double, Multiple and Sequential Sampling
Military Standard 105E (ANSI/ASQC Z1.4, ISO2859)
The Dodge-Romig Sampling Plans

Frequently Asked Questions

Q1 : Explain why statistical quality control able to improve the quality of human?
A1 : Any logic answer