Quality Engineering I
Tutorial 2
Basic seven tools
Control Charts for Variables
Problem 2.1
Each observation in the following set of data represent the
weight of 15 candy bars in grams recorded on a candy
production line. The lower and upper specification

SPC
Calculations for Control Limits
UCL-Upper Control Limit
LCL-Lower Control Limit
CL -Center Line
-Sample Size
n
7 -Average of Measurements
=x -Average of Averages
R -Range
R -Average of Ranges
PCR-ProcessCapabilityRatio
Deviation
6 -p1sses5 Standard
No

Quality Engineering I
Tutorial 3
Control Charts for Attributes
Tutorial 3.1
Determine the trial central line and control
limits for a p chart using the following data,
which are for the payment of dental insurance
claims. Plot the values on graph paper an

Quality Engineering I
Tutorial 3
Acceptance sampling
Review
Tutorial 3.1.
A type of items produces are checked at an
inspection station with n=90 and c=3
sampling plan
If AQL=0.03, what is the value of the
producers risk ?
If LTPD=0.08, what is the value

Tutorial 5
Intro to Design of Experiment
Question 5.1
Given the following data, test whether there is significant difference
between treatment M1-M5.
M1(y1i)
M2(y2i) M3(y3i) M4(y4i)
M5(y5i)
1.02
1.06
0.99
0.99
1.05
0.99
1.02
1
0.94
1.02
0.99
1.05
0.94
0.9

Quality Engineering I
Tutorial 3
Acceptance sampling
Tutorial 3.1.
A type of items produces are checked at an
inspection station with n=90 and c=3
sampling plan
If AQL=0.03, what is the value of the
producers risk ?
If LTPD=0.08, what is the value of the

Quality Engineering I
Tutorial 1
Basic Statistics
Tutorial 1.1
Diameters of bolts are normally distributed
withP 2.02 in. and V 0.02 in. If the specifications
for the diameter are at 2.0 r0.06 in., find:
a.
The proportion of diameters below the lower spec

5.
Control Charts for Variables
Although control chart is sometimes considered as one of the basic quality control
techniques, it is undoubtedly the most important statistical technique in quality
engineering and it has attracted attention from quality pr

7.
Process Capability Analysis
In practice, we want to know whether the products meet the engineering requirement. A
question that is commonly asked is that whether the distribution of individual
measurements will fit between the specification limits. We

SEEM3062 Quality Engineering I
Introduction To
Design of Experiments
Design and Analysis of
Experiments
Introduction
Statistical comparisons (Z, t test)
Analysis of variance (ANOVA)
Factorial design
Taguchi methods
Experimental Design
A designed experimen

3.
Basic Seven QC Tools
In this part, we introduce the basic seven tools, or the Ichikawa seven tools as they are
first summarized in the book by the late Japanese Professor Ichikawa. These techniques
are applicable to most engineering processes and serve

Quality Engineering I (SEEM3062)
M.XIE@CITYU.EDU.HK
Basics of Quality Engineering
Jan 2015
Prepared by
Professor Xie Min
Dept of Systems Engineering and Engineering Management
City University of Hong Kong
E-mail: M.XIE@CITYU.EDU.HK
1
2
Quality Engineering

SEEM3062 Quality Engineering I
Introduction to
Acceptance Sampling
Acceptance Sampling
Lot of size N
(M defective items)
A product lot is received from supplier, we need to
decide whether to reject or accept this lot
Three methods for lot sentencing
Acce

SEEM3062 Quality Engineering I
Introduction to
Process Capability Analysis
Process Capability Analysis
A process can be in statistical control, but at the same
time, it may perform far from the requirements
Specification limits and tolerance exist for mos

Control Charts
for Attributes
Types of chart, uses and interpretations
(with an introduction to discrete distributions)
Control Charts for Attributes
Count data and go-no-go data
# defects in a unit
# defective items in a sample
Easier to collect
Differ

Introduction to Control Charts
For variables and attributes
The Concept of Variation
Variation always exists
They are not avoidable
Some causes serious quality problem
Types of variation
Within-piece variation;
Piece-to-piece variation;
Time-to-time va

SEEM3062 Quality Engineering I
Introduction To
Basic Seven Quality Engineering Tools
Basic Seven Tools
Check sheet
Pareto diagram
Histogram
Cause-Effect Diagram
Scatter diagram
Run chart
Control chart
To know
What they are
When they should be used
What th

SEEM3062 Quality Engineering I
Introduction to
Basic Statistics and Data Description
SEEM3062
What is Statistics?
Science of collecting, organizing, and
interpreting numerical facts (data)
The goal is not calculations, but to gain
information and understa

SEEM3062 Quality Engineering I
Introduction
Xie Min
Chair Professor
Dept of Systems Engineering and Engineering Management
City University of Hong Kong
m.xie@cityu.edu.hk
Course Intended Learning
Outcomes (CILOs)
Upon successful completion of this course,