Assignment 1
Quality Engineering I (SEEM3062)
SEEM, CityU
Deadline: Week 9
Question 1 (20%)
A soft drink bottling company is interested in controlling its filling operation.
Random samples of size 4 are selected and the fill weight is recorded. Table belo

VARIABLE CONTROL CHARTS
1. Introduction
Objectives
Understand fundamentals of control charts how chart works
Be able to construct control charts ( X , R) and (s, R); including
calculate control limits, using control constant table, etc.
Be able to anal

Process Capability Analysis
Objectives
Understand the difference of 3 limits.
Able to calculate three main capability indexes CP, CPK, Cpm,
which are used to determine how good the measurements are
when compared to the specifications.
Understand process c

Assignment 2
Quality Engineering I (SEEM3062)
SEEM, CityU
Question 1 (30%)
A double sampling plan is given below:
N=6000, n1=50, c1=1, r1=4, n2=100, c2=5
with N = lot size, n1=sample size on 1st sampling,
c1=acceptance number on 1st sampling, r1=rejection

INTRODUCTION TO QUALITY CONTROL
1. CONCEPTS:
1.1 What is Quality?
Common View: An excellent Product that fulfills (performs) or
exceeds our Expectations.
Quality = Performance / Expectations
Q>1 good feeling of customer
Traditional definition (before 198

Experimental Design
Experimental design is a statistical method for evaluating the effects of
different treatments on a response variable.
Objectives
Able to apply classical (factorial) design to a given problem
Understand the concept of fractional factor

Fundamentals of Statistics
1/26
Prof. Li, H.X.
FUNDAMENTALS OF STATISTICS
Objectives
Know basic definition
precise/accurate
of
data:
variable/attribute,
Able to develop frequency distribution (for both group and
ungroup data)
Distribution calculation
T

Theory of Relativity
Lecture 1
Albert
Einstein
1
Frame of Reference
A system of co-ordinates axes which defines the position of a particle in two or
three dimensional space is called frame of reference.
2
Inertial Frame of Reference
Laws of motion must b

Review
Dr. Wong, T. C., Andy
Course: MEEM 3062
Quality Engineering I
MEEM 3062
1
Objectives
Acceptance Sampling
Experimental Design
MEEM 3062
2
Probability
Discrete probability distribution
Hypergeometric
Binomial
Poisson
Continuous probability dis

Experimental Design
Dr. Li, H.X.
EXPERIMENTAL DESIGN
Objectives
Able to apply classical (factorial) design to a given problem
Understand the concept of fractional factorial design
Able to develop Taguchis loss function to a simple problem
Understand t

Acceptance Sampling
Dr. Li, H.X.
ACCEPTANCE SAMPLING
Objectives
Understand the problem of acceptance sampling and fundamentals of
sampling plan (single and double);
Understand the concept of OC curve, its relationship with sampling
plan, and some of its

ATTRIBUTES CONTROL CHARTS
Objectives
Be able to construct 4 attribute charts (p, np, c and u); including
calculate control limits, using control constant table, etc.
Be able to analyze the chart and find out out of control state;
Be able to revise the

FUNDAMENTALS OF PROBABILITY
Objectives
Able to calculate simple probability and use the probability rules properly;
Able to calculate permutation and combination;
Able to calculate probabilities using discrete and continuous probability
distributions;
Und

Additional SPC Techniques for Variables
Objectives
o Additional techniques to detect the small changes in variables, such as,
Trend chart, moving average chart and EWMA chart.
o Basic techniques will be introduced to deal with some special
situations, suc

Process Capability Analysis
Objectives
Understand the difference of 3 limits.
Able to calculate three main capability indexes CP, CPK, Cpm,
which are used to determine how good the measurements are
when compared to the specifications.
Understand process c

VARIABLE CONTROL CHARTS
1. Introduction
Objectives
Understand fundamentals of control charts how chart works
Be able to construct control charts ( X , R) and (s, R); including
calculate control limits, using control constant table, etc.
Be able to anal

Fundamentals of Statistics
1/26
Prof. Li, H.X.
FUNDAMENTALS OF STATISTICS
Objectives
Know basic definition
precise/accurate
of
data:
variable/attribute,
Able to develop frequency distribution (for both group and
ungroup data)
Distribution calculation
T

INTRODUCTION TO QUALITY CONTROL
1. CONCEPTS:
1.1 What is Quality?
Common View: An excellent Product that fulfills (performs) or
exceeds our Expectations.
Quality = Performance / Expectations
Q>1 good feeling of customer
Traditional definition (before 198