Project+ quality and performance charts

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8 Terms

1
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Histogram

What it is:

  • A bar chart showing the frequency distribution of data.

Use:

  • Identify patterns, variations, or trends in data.

  • Common in quality control to see how often defects occur.

<p><strong>What it is:</strong></p><ul><li><p>A bar chart showing the <strong>frequency distribution of data</strong>.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Identify patterns, variations, or trends in data.</p></li><li><p>Common in quality control to see how often defects occur.</p></li></ul><p></p>
2
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Pareto Chart

What it is:

  • A bar chart showing causes of problems in descending order with a cumulative line.

  • Based on the 80/20 rule: ~80% of problems come from ~20% of causes.

Use:

  • Identify the most significant issues to prioritize improvement efforts.

Example:

  • Bars: Types of errors

  • Line: Cumulative percentage of total errors

<p><strong>What it is:</strong></p><ul><li><p>A bar chart showing <strong>causes of problems in descending order</strong> with a cumulative line.</p></li><li><p>Based on the 80/20 rule: ~80% of problems come from ~20% of causes.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Identify the <strong>most significant issues</strong> to prioritize improvement efforts.</p></li></ul><p><strong>Example:</strong></p><ul><li><p>Bars: Types of errors</p></li><li><p>Line: Cumulative percentage of total errors</p></li></ul><p></p>
3
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Run Chart

What it is:

  • A line chart showing data points over time to identify trends or patterns.

Use:

  • Track performance over time, detect shifts, cycles, or trends.

Example:

  • X-axis: Time (days/weeks)

  • Y-axis: Number of defects or performance metric

<p><strong>What it is:</strong></p><ul><li><p>A line chart showing <strong>data points over time</strong> to identify trends or patterns.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Track performance over time, detect shifts, cycles, or trends.</p></li></ul><p><strong>Example:</strong></p><ul><li><p>X-axis: Time (days/weeks)</p></li><li><p>Y-axis: Number of defects or performance metric</p></li></ul><p></p>
4
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Scatter Diagram

What it is:

  • A plot of two variables to identify relationships or correlations.

Use:

  • Determine if changes in one variable affect another.

  • Helps in root cause analysis and quality improvement.

Example:

  • X-axis: Hours of training

  • Y-axis: Number of errors

  • Pattern shows correlation

<p><strong>What it is:</strong></p><ul><li><p>A plot of <strong>two variables</strong> to identify relationships or correlations.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Determine if changes in one variable affect another.</p></li><li><p>Helps in root cause analysis and quality improvement.</p></li></ul><p><strong>Example:</strong></p><ul><li><p>X-axis: Hours of training</p></li><li><p>Y-axis: Number of errors</p></li><li><p>Pattern shows correlation</p></li></ul><p></p>
5
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Fishbone / Ishikawa Diagram

What it is:

  • A cause-and-effect diagram shaped like a fish skeleton.

Use:

  • Identify root causes of a problem by categorizing potential causes.

  • Categories often include: People, Process, Materials, Machines, Environment, Methods

Example:

  • Problem: Software deployment delays

  • Causes: Lack of training, poor testing process, insufficient resources

<p><strong>What it is:</strong></p><ul><li><p>A <strong>cause-and-effect diagram</strong> shaped like a fish skeleton.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Identify root causes of a problem by categorizing potential causes.</p></li><li><p>Categories often include: People, Process, Materials, Machines, Environment, Methods</p></li></ul><p><strong>Example:</strong></p><ul><li><p>Problem: Software deployment delays</p></li><li><p>Causes: Lack of training, poor testing process, insufficient resources</p></li></ul><p></p>
6
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Control Chart

  • Is used to monitor process performance over time.

  • It typically shows:

    • Upper Control Limit (UCL) → the maximum acceptable value

    • Lower Control Limit (LCL) → the minimum acceptable value

    • Centerline → average or expected value

  • If a plot point is above the UCL, it means that the task took longer than expected.

  • If a point is below the LCL, it means the task was faster than expected.

  • Occasional points above or below the limits don’t necessarily mean the entire process is out of control—they just indicate specific deviations.

<ul><li><p>Is used to monitor <strong>process performance over time</strong>.</p></li><li><p>It typically shows:</p><ul><li><p><strong>Upper Control Limit (UCL)</strong> → the maximum acceptable value</p></li><li><p><strong>Lower Control Limit (LCL)</strong> → the minimum acceptable value</p></li><li><p><strong>Centerline</strong> → average or expected value</p></li></ul></li><li><p>If a <strong>plot point is above the UCL</strong>, it means that <strong>the task took longer than expected</strong>.</p></li><li><p>If a point is below the LCL, it means the task was <strong>faster than expected</strong>.</p></li><li><p>Occasional points above or below the limits don’t necessarily mean the entire process is out of control—they just indicate specific deviations.</p></li></ul><p></p>
7
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Decision Tree

What it is:

  • A tree-like diagram used to map decisions and possible outcomes.

Use:

  • Evaluate options, risks, and consequences.

  • Assign probabilities and expected values to make informed choices.

Example:

  • Decision: Build in-house vs. outsource

  • Branches: Cost, risk, timeline for each option

<p><strong>What it is:</strong></p><ul><li><p>A tree-like diagram used to <strong>map decisions and possible outcomes</strong>.</p></li></ul><p><strong>Use:</strong></p><ul><li><p>Evaluate options, risks, and consequences.</p></li><li><p>Assign probabilities and expected values to make informed choices.</p></li></ul><p><strong>Example:</strong></p><ul><li><p>Decision: Build in-house vs. outsource</p></li><li><p>Branches: Cost, risk, timeline for each option</p></li></ul><p></p>
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Law of diminishing returns chart

  • Compare input (cost, effort, resources) against output (benefits, quality improvements)

  • Visually show the point where additional investment produces smaller incremental gains

  • Help stakeholders make informed decisions about resource allocation

<ul><li><p>Compare <strong>input (cost, effort, resources)</strong> against <strong>output (benefits, quality improvements)</strong></p></li><li><p>Visually show the point where <strong>additional investment produces smaller incremental gains</strong></p></li><li><p>Help stakeholders <strong>make informed decisions about resource allocation</strong></p></li></ul><p></p>