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Statistical P S i i l Process Control C l
26 August 2009 University Malaysia Perlis P li
Presented by Dr Zaharah Wahid

DRZ CONSULTANT

1

An Overview of Statistical Process Control (SPC)
DRZ CONSULTANT 2

What is SPC
Statistical : A universal language to describe and analyse the physical variability of a process. Process : The transformation of inputs including f f man, machinery, methods, materials, energy and information to attain a desired result result. Control : To make a process behave the way we want it to behave.

DRZ CONSULTANT

3

Key Concept K C t
• construct control charts so that we can monitor important features of data over time

whether some process is statistically stable (or within statistical control).
4

• use such charts to determine h h t t d t i

DRZ CONSULTANT

Key Concept K C t
A common goal of many different methods of quality control is to Reduce variation in a product or a service. service

DRZ CONSULTANT

5

SPC - A Funnel for Quality Q y
Material Input with Variation

MEASURE

ANALYSE

SPC

IMPROVE

CONTROL
Quality Output less variation
DRZ CONSULTANT 6

Process Control System
SPC

DRZ CONSULTANT

7

Collection of Data
The data must satisfy the above condition: y

The data must be the right data Measuring instruments are in good conditions The d t Th data must b analysed in such t be l di h manner that results can be easily understood d t d These results must be interpreted in the context of the original data
DRZ CONSULTANT 8

Types of D t T f Data
Qualitative-non numerical, measured according to specific categories categories. e.g colour, sex, gender, marital status, opinion etc Quantitative - numerical, either continuous ( measured) or discrete (count)

DRZ CONSULTANT

9

TYPES OF MEASUREMENT SCALE
Random variable

Categorical

Type of variable

Numerical

nominal scale

ordinal scale

Interval scale discrete

Ratio scale continouos
10

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