Pkg Solutions
Quality Glossary
T.Q. Tools
CAUSE AND EFFECT ANALYSIS
(FISHBONE DIAGRAMS)
What is Cause and Effect
Analysis?
Cause and Effect diagrams are also known as "Fishbones"
(because of their shape) or Ishikawa diagrams (after their inventor,
Dr. Kaoru Ishikawa, the Japanese Quality Control Statistician).
Cause and Effect analysis is a systematic way of looking at
effects and the causes that create or contribute to specified effects.
The effect being analyzed can be expressed as a problem or as
"desired state" and the things that have to be in place for us to get
to where we want to be.
A fishbone is an organizing technique for processing lists of
ideas into groups to make understanding clearer.
How to Draw a Cause and
Effect Diagram
In order to provide a full analysis for any given effect, the
causes can be represented on a cause and effect or fishbone diagram
such as the one shown (Figure 2) to illustrate the statement "lamp
doesn't turn on' and the major possible causes which might explain why
the lamp doesn't light. Related causes are grouped together on bones of
the fish which have been labelled with the common factor.
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Identify the area or "effect" to be analyzed or
the desired state to be reached.
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Hold a brainstorming session with your team to
establish all the major possible causes.
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Write the effect/desired state in a box at the
end of the main spine of the fishbone. Add several bones, drawn at an
angle.
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From the results of the brainstorming session
form groups of causes under a number of headings comprising the main
factors contributing to the effect being analyzed.
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On each of the major bones, write the
contributory factors which the group consider to be part of each cause.
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Then decide whether you need to collect
additional data to further understand the relationships of cause to
effect.
AN EXAMPLE OF A CAUSE AND
EFFECT DIAGRAM
ADDITIONAL TIPS FOR
CONSTRUCTING THE CAUSE AND EFFECT DIAGRAMS
It is often the case that
the following headings apply:
1. Participation by everyone concerned is necessary to ensure
that all causes are considered. Everyone involved, must be free to
voice their ideas. The more ideas mentioned, the more accurate will be
the diagram. One person's idea will trigger someone else's.
2. Do not criticize any ideas. To encourage a free exchange,
write them all down. A brainstorming approach is often appropriate for
these early steps.
3. Visibility is a major factor of participation. Everyone in
the team must be able to see the diagram. Use large charts, large
printing, and conduct the diagram sessions in a well lit area.
4. Group together various causes which have a common theme or
link and create a "bone" for each theme.
5. Understand each cause as it is mentioned to ensure its
proper
placement on the diagram. Use the technique: Why, what, where,
when, who and how.
6. Do not overload any one diagram. As a group of causes
begins to dominate the diagram, that group should become a diagram
itself.
7. Construct a separate diagram for each separate effect.
8. Circle the most likely causes. This is usually done after
all possible ideas have been written up on the Cause and Effect
Diagram. Only then is each idea critically evaluated. The most likely
ones should be circled for special attention.
9. Create an improvement orientated atmosphere in each
session. Focus on how to improve a situation rather than analyzing how
it arose.
WHEN TO USE CAUSE AND EFFECT
DIAGRAMS
The Cause-and-effect diagram has nearly unlimited application.
One of its strongest attributes is the participation and contribution
of everyone involved in the subject under discussion. These diagrams
are useful whenever a situation needs to be understood fully and the
relationship between the various factors involved explored. This might
be in the context of solving a problem or understanding all the areas
which need to be addressed to make a desirable change take place.
PARETO ANALYSIS
What is Pareto Analysis?
Pareto Analysis is a technique for recording and analyzing
information which easily enables the most significant aspects to be
identified.
A pattern usually becomes apparent when we look at the
relationship between the numbers of Rems/occurrences of any situation
and their relation to the "cause" under consideration. The pattern has
been referred to as the "80/20 rule" and shows itself in many ways.
Pareto analysis shows at a glance which areas can be regarded
as the 'vital few" needing priority measures to tackle them and which
are the "trivial many".
The accomplishments of the Pareto analysis are:
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Some areas, previously not considered
significant, are identified as belonging to the "vital few".
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The 'trivial many" are identified: this is not
new but the extent is usually surprising.
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Priorities are established.
How to Construct a Pareto
Taking information from a data or check sheet, list the items
in rank order and calculate cumulative percentages. An analysis done in
this manner relating to causes of missort mail.
Activity (Failure)
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Frequency
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% of Total
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Cumulative
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A. Poorly addressed
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11
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38
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38
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B. Wrongly addressed
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9
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31
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69
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C. Postroom error
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4
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14
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83
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D. Divisional error
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2
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7
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90
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E. No address
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1
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3.4
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93.4
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F. Item unreadable
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1
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3.3
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96.7
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G. Royal Mail error
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1
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3.3
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100
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TOTAL
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29
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100
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100
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Draw the Pareto
Diagram
Draw a bar chart which plots the cumulative percentage against
the activities. It may be useful to group minor activities as "others".
This is illustrated in the diagram below.
Interpret the
Results
The candidates for priority action the
'vital few' will appear on the left of the Pareto
diagram where the shape of the cumulative diagram will be steepest. The
'trivial many" should not be ignored however because sometimes what is
apparently minor at first can become much more significant at a later
date if it is left untreated.
It is important when choosing the data to be charted to have a
clear view of the ultimate purpose of the diagram. In the example given
above if the purpose was to tackle those areas which most frequently
caused failure then the correct data was charted. If the aim was to
identify those activities which caused the greatest number of items to
be missorted the diagram could be quite different. below illustrates
the revised ranking of the categories when this criterion is used:
When to Use Pareto
Pareto can be used to great advantage in many situations where
volumes of data exist. It assists with clarifying and prioritizing
those aspects which warrant the commitment of resources in order to
gain maximum advantage. Its major uses are in frequency based data and
tracking that priorities remain the same even when volumes of data
available varies widely.
DATA COLLECTION TECHNIQUES
In this section we are going to describe three data collection
systems. Data Sheets, Frequency Tables, and Check Sheets.
What are Data Sheets?
Data sheets are used to determine how often an event occurs
over a designated period of time. Information is usually collected for
events as they happen.
An Example of a Data Sheet
Complaint
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Jan
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Feb
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Mar
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Apr
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May
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Jun
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Jul
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Aug
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Sep
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Oct
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Nov
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Dec
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Total
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Damaged Mail
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11
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11
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111
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11
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1111
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13
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What are Frequency Tables?
Frequency Tables are used to record the distribution of events
within chosen boundaries.
An Example of a Frequency Table
Distribution of the Weight of 120 Students
Class Boundaries (lbs)
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Frequencies
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109.5 - 119.4
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1
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119.5 - 129.4
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4
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129.5 - 139.4
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17
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139.5 - 149.4
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28
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149.5 - 159.4
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25
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159.5 - 169.4
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18
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169.5 - 179.4
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13
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179.5 - 189.4
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6
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189.5 - 199.4
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5
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199.5 - 209.4
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2
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209.5 - 219.4
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1
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TOTAL
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120
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What are Check Sheets?
Check Sheets are used to record how often an event occurs.
Although the purpose of these techniques is to collect
not analyze information, they can often
help to indicate an area for action.
EXAMPLE OF CHECK SHEET
TYPES OF TELEPHONE CALL
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DEPARTMENT
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Mails Branch |
Personnel |
Finance
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Customer Query
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1111 1111 1111
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1111
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1111 1111
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Wrong Numbers
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1111 1
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1111
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1111 1111 1111
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Headquarters
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11
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1
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When to Use Data Collection Techniques
HISTOGRAMS
What is a Histogram?
A histogram shows the distribution of some characteristic.
Because of its immediate visual impact, a histogram is more effective
for displaying information than a table.
How to Construct a Histogram
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If the data is not already arranged by frequency make a
Frequency Distribution Table.
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Label the axis "Frequency" and mark values and units on It.
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Using the information in the frequency distribution table,
construct vertical bars for each of the classes, with height
corresponding to frequency.
An Example of a Histogram
When to Use Histograms
When ever appropriate to increase the visual impact of
numerical data.
FLOW CHARTS
What are Flowcharts?
Flowcharts show the inputs activities, decision points, and
outputs for a given process. There are many variations that have been
adapted for specific purposes (eg to show flow of paperwork through an
administrative system; to show movement of materials through an
operational system).
How to Construct a Flowchart
Flowcharts use standard symbols connected by arrows to show
how the system or work process operates. To construct a flowchart,
identify the major activities to be completed and decisions to be made
as the work process is implemented. Then check the logic of the plan by
following all possible routes through the chart to ensure that you have
planned for contingencies.
Use the following symbols in drawing a flowchart.
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Statement of Initial input or final output.
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Statement of an activity.
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Decision point.
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AN EXAMPLE OF A FLOWCHART
Responding to an HDS Order Enquiry
When to Use Flowcharts
Flowcharts are particularly useful for documenting the steps
of a work process either to analyze the current situation or to provide
a plan to follow.
GANTT CHARTS
What are Gantt Charts?
A Gantt Chart is a diagram that documents the schedule,
events, activities, and responsibilities necessary to complete a
project.
How to Construct a Gantt
Chart
Although there are many variations, all Gantt Charts document
what is to be accomplished, by whom, and when. The steps required to
construct a Gantt Chart are:
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Break the implementation plan into achievable
steps.
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Assign responsibility for each step to a team
member.
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Decide how long each task will take, and set a
realistic completion date.
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Document the assumptions on which the plan is
based, and the contingency plans to implement if those assumptions are
not valid.
AN EXAMPLE OF THE USE OF A
GANTT CHART
Using a transport project as an example.
SCHEDULE
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TASK
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ASSIGNED TO
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WEEK ENDING |
1/6
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8/6
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15/6
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22/6
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29/6
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5/7
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12/7
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19/7
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Liaise with districts
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Andrew
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Process bids
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Helen
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Discuss bids with MT
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Helen
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Discuss van movement
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Peter
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Deploy vans
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Peter and Helen
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When to Use Gantt Charts
Gantt Charts are particularly useful when managing a complex
multiphased task or where the aim is to optimize the use of resources
or manpower.
FAILURE MODE EFFECT ANALYSIS
- GUIDELINES
1. List part/process under consideration, e.g. gear.
2. For each part/process list all possible failure modes, e.g.
fracture, excess vibration.
3. List possible effects of failure e.g.
gearbox failure, increased maintenance etc.
4. List possible causes of failure e.g. material, heat
treatment, incorrect gear form etc.
5. Probability factor Assess how likely
failure is. Base on reliability data if possible, if not use best
judgement.
1 = Failures extremely infrequent.
10 = Failures almost certain to occur.
6. Severity Factor - Assume failure has occurred. Will this
have impact on customer? Assume also the customer will get the defect.
1 = Customer will not notice.
10 = Safety of product affected.
7. Detection Factor - What is the probability the customer
will subsequently receive the product?
1 = Will not reach the customer.
10 = Customer will receive product.
8. Multiply together to obtain risk factor (improvement
weighing).
FAILURE MODE EFFECT ANALYSIS
Part or Process
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Potential Failure Mode
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Likely Effect of Failure
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Cause of Failure
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Probability Factor A
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Severity Factor B
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Detection Factor C
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Improvement Weighting AxBxC
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IDEA EVALUATION
Purpose
To identify ideas that Problem Solving teams can work on, at
different levels in the organization.
Method
Take the brainstorm lists and evaluate and categorize each
idea into one of the following groups; mark up the lists with the
appropriate capital letter indicated below:
T = Totally within the teams control to
work on, and to be able to produce a solution to the problem which is
likely to be implemented.
P = Partially controllable within the
group, i.e. the team may be able to come up with some solution, but the
total problem would probably need the involvement of other departments.
N = Not team controllable are ideas over
which the group has no direct control at all, e.g. redesign the
building.
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During this process ft may be appropriate to cross out any
ideas which are totally superfluous.
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Take all the T type items and decide which one the team
members would like to tackle (note in many cases it will be appropriate
to do a data gathering exercise first, to measure which is the most
significant problem).
Problem Solving Structure
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Problem Solving must be categorized (T, P, N)
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Problems should be logged and monitored
PROBLEM SOLVING LOG
ORIGINATOR:
REF NO:
DIVISION / DEPT:
SECTION:
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EXTN:
DATE:
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WHAT IS THE PROBLEM?:
CLASSIFICATION: T/P/N
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ACTIONEE:
AGREED FORECAST COMPLETION DATE:
ACTION TAKEN:
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SIGNED OFF BY ORIGINATOR:
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DATE:
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PAIRED COMPARISON
Purpose
Rules
Method
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List all contending items (in any order) on the left.
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Compare item 1 with item 2 decide
which is the most important and ring the appropriate number in column 1
row 1.
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Repeat, comparing item 1 with item 3 etc. and
ring the appropriate number in each succeeding column.
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Then after item 1 has been compared with all the
others, go on to item 2 and repeat the cycle of events until all items
have had a paired comparison.
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Count up all the ringed '1's on the chart and
put the total against item 1. Do this for all the other numbers.
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Use the Vote Matrix to record the votes for each item from
each member's chart. Add the votes across each row to find out the
circle's total score for each item.
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The maximum score will identify the major item to look at
first.
PAIRED COMPARISON CHART
VOTE MATRIX FOR PAIRED
COMPARISONS
No
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MEMBER VOTES
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TOTALS
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RANKING
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WHY - WHY DIAGRAM
Purpose
Rules
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Brainstorm the causes
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Identify the major cause
Method
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Take a selected cause and use a WHY - WHY diagram to
explore the underlying causes of the problem
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Each divergent step of the WHY - WHY analysis is produced
asking 'why?', see example below
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The answers to the question 'why?' are causes of the
problem
EXAMPLE OF WHY - WHY DIAGRAM
HOW - HOW DIAGRAM
Purpose
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To creatively explore and consider numerous solution
alternatives instead of jumping to the 'obvious solution'
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Helps members determine the specific steps that should be
taken to implement a solution and hence formulate a specific action plan
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It helps practice a divergent technique
Method
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Begin with a solution statement and explore possible ways
of accomplishing the action at each stage by asking 'how' (see example
below)
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At each stage of the chain a convergent process can be
used to narrow the list of alternatives before the next divergent step
is taken
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Advantages and disadvantages, change of success, and
relative cost of each alternative can be established to get a more
objective selection process
EXAMPLE OF HOW - HOW DIAGRAM
FORCE FIELD ANALYSIS
Purpose
Guidelines - To be read in conjunction with
diagram on next sheet.
Driving Forces - Promote the solution
(activity level).
Restraining Forces - Oppose the solution
(activity level).
1. Define the solution (activity level), e.g. automatic heat
treatment of gear.
2. Brainstorm the driving forces, e.g. reduction of failures,
less preventative maintenance, less failure maintenance, reduced
customer complaints, less spares required, etc., and the restraining
forces e.g. cost of equipment, maintenance of equipment, specialized
application only, etc.
3. Scale and judge the intensity of the forces using scale
factor of 1 to 10 for each force, e.g.
Reduction of failures = +8
Less preventative maintenance = +6
Cost of equipment = 7
Specialized application only = 4
4. Add scale factors for driving forces i.e. 33 from diagram
on next sheet and, Add scale factors for restraining forces, i.e. 15
from diagram on next sheet.
5. The ratio obtained by dividing the cumulative scale factor
for the driving forces by that of the restraining forces i.e. 33
divided by 15 equals 2.2, can be compared with ratios for other
potential solutions. The bigger the ratio number, the better the
solution.
6. However, improvement action plans can be put in place to
improve the ratio for any given potential solution.
7. Force Field Analysis should be repeated to evaluate other
potential solutions.
EXAMPLE OF FORCE FIELD
ANALYSIS