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Intro to Quality Control with Tutorial on using Statgraphics

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Quality Control
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Page 1: Intro to Quality Control with Tutorial on using Statgraphics

Quality Control

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What is Quality Control ? Why Quality Control Different Quality Software's Advantages of Quality Control software's Intro to Stat-graphics Pareto Analysis

Weighted Unweighted UnTabulated

Attribute Acceptance Plan Solving problems Using stat-graphics Conclusion

Content :

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What is Quality Control ?Quality control is a procedure or set of procedures intended to ensure that a manufactured product or performed service adheres to a defined set of quality criteria

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Why Quality Control ?

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Our Generation

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Why Quality Control matters to Egypt ?

Hani Gamal
somewhere in the world , someone is ready to do the job at better quality and lower cost
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Why Quality Control matters to Egypt ?

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Extra gray hairs ?

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Population Crisis :

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Quality :

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Software's :

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Advantages of Uses Quality Control Software's:I. Maximizes $$ benefits of your QMS (Quality Management System) by maximizing

its effectivenessII. Automates many of the necessary actions for a well-run Quality Management

SystemIII. Enables collaboration among employees without having to leave their work-

stations (Cloud Based )IV. Saves time and costV. Creates a framework upon which a customized quality system can be built,

whether or not ISO is actually in placeVI. Vastly reduce the amount of man-hours needed to operate and maintain your

quality systemVII. Makes continual improvement of business processes a continuous and natural

habit.

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Fish Bone Diagram

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Example This fish bone diagram was drawn by a manufacturing team to try to

understand the source of periodic iron contamination.

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Pareto Analysis :Introduction

Pareto Analysis is a statistical method to know vital few problems that cause significant effects

It is known that 80% effects are caused by 20% causes

STATGRAPHICS supports three basic types of Pareto analysis: Weighted Unweighted Untabulated

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Pareto Analysis : Unweighted Normal Program

Interface

Columns could be adjusted

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Column Name

Data Type

Pareto Analysis : Unweighted

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Counted or tabulated data is entered which the analysis will be made of

Pareto Analysis : Unweighted

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SPC Quality Assessment

Pareto Analysis

Pareto Analysis : Unweighted

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Existing Columns

Measurable Data

Data Labels

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If we need to combine classes

Pareto Analysis : Unweighted

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Needed Tables and Graphs

Pareto Analysis : Unweighted

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Data AnalysisFrequency Table

Pareto Chart

Cumlative Pareto Chart

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Pareto Chart : Weighted

Weight Column is added

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Weight is added

Pareto Chart : Weighted

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Untabulated Data

Data whose frequency isn’t counted or calculated

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Column is inserted in Observations place without labels

Untabulated Data

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Xbar -Rcharts

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Xbar-Scharts

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Xbar-MR charts

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P-chart  The P-chart is a type of control chart used to monitor

the proportion ofnonconforming units in a sample, where the sample proportion nonconforming is defined as the ratio of the number of nonconforming units to the sample size

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Types of P-chart: Constant Sample Size Variable sample Size

variable control limits Average Sample Size Standardized Control Chart

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P Chart (Constant Sample Size)

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!

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P-Chart (Variable Sample Size)

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NP-Chart : NP chart differs from P chart that is in the P chart

fraction of defectives are used but in NP chart count of defectives is used instead.

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Control Charts for Nonconformities (defects) – Constant Sample Size

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U-chart :

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Attributes Acceptance Plan :Definition When lots containing a relatively large number of items require

inspection, acceptance sampling plans can provide reasonable protection against shipping or receiving an unacceptable fraction of non-conforming items without inspecting 100% of the lot.

The Acceptance Sampling (Attributes) procedure generates acceptance sampling plans for situations when items cannot be measured, only classified as conforming or non-conforming. In such plans, a sample of size n is drawn from a lot of N items and the lot is accepted if the number of non-conforming items in the lot is less than or equal to c.

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SPC Acceptance Sampling Attributes OC/AOQL/LPTD

Plans

Attributes Acceptance Plan

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Plan Type

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Untabulated Data :

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OC Curve

AOQ Curve

ATI Curve

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Thank You

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http://www.huffingtonpost.com/eastwest-center/chinas-population-policy_b_7860318.html

http://www.wikinvest.com/concept/China's_Aging_Population http://www.theguardian.com/world/datablog/2015/oct/29/impact-c

hina-one-child-policy-four-graphs https://en.wikipedia.org/wiki/One-child_policy https://populationpyramid.net/egypt/2016/ http://www.cnbc.com/id/49498720 http://blogs.wsj.com/chinarealtime/2016/01/22/chinas-working-age-

population-sees-biggest-ever-decline/

References :


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