A tree diagram systematically maps out the detail of smaller activities required to complete a project or reach a primary goal. This tool helps to break down the complexity by logically identifying lower levels of
To logically branch out or flow down levels of detail of projects, problems, or primary goals.
To break down large activities or goals into smaller and specific tasks.
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Select and define problem or opportunity |
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Identify and analyze causes or potential change |
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Develop and plan possible solutions or change |
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Implement and evaluate solution or change |
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Measure and report solution or change results |
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Recognize and reward team efforts |
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Research/statistics |
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Creativity/innovation |
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Engineering |
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2 |
Project management |
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Manufacturing |
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Marketing/sales |
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3 |
Administration/documentation |
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Servicing/support |
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Customer/quality metrics |
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Change management |
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before
Affinity Diagram
Interrelationship Digraph (I.D.)
Systems Analysis Diagram
Symbolic Flowchart
Prioritization Matrix
after
Activity Network Diagram
Process Decision Program Chart
Matrix Diagram
Five Whys
What-If Analysis
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Numerical indexing example: Levels of detail.
STEP 1 First, determine the project, problem, or primary goal for the tree diagram. This is the first level of detail. See example Preliminary Planning for Six Sigma Quality .
STEP 2 Identify the major areas or activities that need to be
STEP 3 Continue to break down major areas (branches) into smaller tasks or elements, labeling each branch as shown. This is the third level, etc.
STEP 4 Continue this detailing as required to create lower level branches. At this point, if using the tree diagram as a problem-solving tool, start to identify and circle most likely causes of the problems.
STEP 5 Verify the tree diagram by retracing the branches to the
STEP 6 Encode or
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Time Series Analysis |
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Analyzing/Trending (AT) |
Trend analysis tool can project, on the basis of historical data segments, the increase or decrease of what is being measured for the
To project future time segment data on the basis of
To analyze performance data trends over time.
To show directionality and variability in measured data.
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Select and define problem or opportunity |
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Identify and analyze causes or potential change |
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Develop and plan possible solutions or change |
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Implement and evaluate solution or change |
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Measure and report solution or change results |
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Recognize and reward team efforts |
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1 |
Research/statistics |
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Creativity/innovation |
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3 |
Engineering |
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2 |
Project management |
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4 |
Manufacturing |
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Marketing/sales |
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Administration/documentation |
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Servicing/support |
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5 |
Customer/quality metrics |
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Change management |
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before
Data Collection Strategy
Checksheet
Observation
Line Chart
Timeline Chart
after
Starbursting
Action Plan
What-If Analysis
Cost-Benefit Analysis
Countermeasures Matrix
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Recommendation: Use at least nine time intervals of historical data to calculate the "next time interval" projection for costs, defects, time lost, time used, outputs, inventory, activities, events, or other performance measures.
Equations used to calculate a projection:
As calculated for the example shown:
STEP 1 As a preliminary step, the data collection process determines the specific performance data, the historical time period and number of time segments within, and the next time segment for which the projection is to be calculated.
STEP 2 An odd number of data scores (13 months in this example) is inserted into
STEP 3 Column Y is multiplied by column X and the results inserted into column XY. Positive and negative totals are added, and the resultant total reflects the directionality of the trend. The respective values in column X 2 (within the brackets) are also added.
STEP 4 The totals of all columns are used to calculate the average ( a ), the factor ( b ), and finally, the projection ( Y ') as shown in notes and key points .
STEP 5 A check is made by adding the factor (
b
) to the calculated average (
a
) in column P, as shown in this example. In this case, a repeated addition of 31 for each month (August-February) will result in a February projection of 882 as calculated with
Y
'
a
+
bt
. Note:
t
= 7, the number of segments for this calculation (July–January) as seen in column T. Ensure that the median data score is always placed in the
STEP 6 All calculations are