introduction to pillar diagrams

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EMQM 5103 Pillar Diagr ams Alfonso Johan © Alfonso b. Johan 2011

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Page 1: Introduction to Pillar Diagrams

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EMQM 5103

Pillar Diagrams

Alfonso Johan

© Alfonso b. Johan 2011

Page 2: Introduction to Pillar Diagrams

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What is Quality?

PMI Definition

“The degree to whicha set of inherent

characteristics fulfill

requirements”

© Alfonso b. Johan 2011

Page 3: Introduction to Pillar Diagrams

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Quality Tools Categories

Collect Data

UnderstandData

UnderstandProcess

Analyze

Process

ProblemSolving

© Alfonso b. Johan 2011

Page 4: Introduction to Pillar Diagrams

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Quality Tools Categories

Collect Data

UnderstandData

UnderstandProcess

Analyze

Process

ProblemSolving

Pillar

Diagrams

© Alfonso b. Johan 2011

Page 5: Introduction to Pillar Diagrams

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What are Pillar Diagrams?

“A tool to analyze a

situation in which multiple problems are related to

 multiple causes”Project Quality Management: Why, What and How (p. 120)

© Alfonso b. Johan 2011

Page 6: Introduction to Pillar Diagrams

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How to construct Pillar Diagrams?

ListCauses

and

Results

MapCause to

Results

CountArrows

IdentifyRoot

Cause

1 2 3 4

© Alfonso b. Johan 2011

Page 7: Introduction to Pillar Diagrams

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© Alfonso b. Johan 2011

Pillar Diagram Example

Monster A

Monster B

Monster C

Fall sick

Scared!

Can’t sleep

Causes Results

Page 8: Introduction to Pillar Diagrams

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Pillar Diagram Example

Monster A

Monster B

Monster C

Fall sick

Scared!

Can’t sleep

Causes Results

2

3

1

© Alfonso b. Johan 2011

Page 9: Introduction to Pillar Diagrams

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Degree of Influence

Sometimes, Degree of Influence is more important than the

results affected. For cases like this a weight should be

assigned to each arrow from the cause using the values of 1,

3 and 9. The value of 3 is used as the base reference.

1 = Low Influence

3 = Moderate Influence9 = High Influence

© Alfonso b. Johan 2011

Page 10: Introduction to Pillar Diagrams

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Weighted Pillar Diagram Example

Monster A

Monster B

Monster C

Fall sick

Scared!

Can’t sleep

Causes Results

3

9

9

1

3

3

© Alfonso b. Johan 2011

Page 11: Introduction to Pillar Diagrams

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Degree of Influence Calculation

Cause Sum Weight % Influence

Monster A

Monster B

Monster C

Overall Total

9+9 = 18

1+3+3 = 7

3

18+7+3 = 28

18/28 = 64.3%

7/28 = 25.0%

3/28 = 10.7%

© Alfonso b. Johan 2011

Page 12: Introduction to Pillar Diagrams

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Weighted Pillar Diagram Example

Monster A

Monster B

Monster C

Fall sick

Scared!

Can’t sleep

Causes Results

64.3%

25.0%

10.7%

2

3

1

© Alfonso b. Johan 2011

Page 13: Introduction to Pillar Diagrams

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Points to Note

For effective use, a limited set of causes and results are considered

© Alfonso b. Johan 2011

Page 14: Introduction to Pillar Diagrams

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Points to Note

A Pillar diagram does not allow deep analysis of causes.Additional analysis needs to be done using other methods e.g.

using fishbone diagram

Monster A

Causes

64.3%

What causesMonster A??

© Alfonso b. Johan 2011

Page 15: Introduction to Pillar Diagrams

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Points to Note

Monster A

Monster B

Monster C

Causes Results

64.3%

25.0%

10.7%

$$$ Lost

Weighted Pillar diagrams addresses value of the

causes. It does not address value of results.

25,000.00

10,000.00

8,000.00

   N   o   t   C

   o   n   s   i    d   e   r   e    d   !

=

=

=

© Alfonso b. Johan 2011

Page 16: Introduction to Pillar Diagrams

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Questions & Answers

© Alfonso b. Johan 2011

Page 17: Introduction to Pillar Diagrams

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© Alfonso b. Johan 2011