7 qc tools

Quality Control

1. Seven Quality Control Tools 1

2. Introduction QC tools are the means for Colleting data ,analyzing data , identifying root causes and measuring the results. These tools are related to numerical data processing. User has to develop the solution & implement 7 QC tools 7 QC tools are means for: Collecting dat a Analyzing data Identifying root cause Measure the results 2

3. 7 QC Tools Cause and effect diagram Pareto Analysis Flow chart Scatter di a gram Check sheet Histogram Control chart 3

4. Cause and effect diagram It is also known as ishikawa and fish bone diagram. Purpose: Graphical representation of potential causes of a problem Brainstorming fishbone diagram 4

5. Benefits Breaks problems down into bite size pieces to find out cause Foster team work Common understanding of factors causing problem Follows brainstorming relationship 5

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7. Flow ch art Purpose : visu al illustration of the sequence of operation required to complete a task schematic drawing of the process to measure or improve Potential weakness in the process are made visual Picture of process as it should be Benefits: Identify process improvements Understand the process Shows duplicated effort and other non-v a lued added steps Clarify working relationships between people and organization 7

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10. Check sheet Purpose: tool for collecting and organizing measured or counted data Data collected can be used as input dat a for other tools Benefits: collect data in a systematic and organized manner To determine s ource of problem To facilitate classification of data (stratification) 10

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12. Histogr am Plotting the sh apes of a distribution and comparing it with specification 12

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14. P areto Analysis 14 P areto an a lysis is a ranked comparison of factor related to a quality problem. It helps a quality improvement project teams to identify and focus on the VITAL few factors. Benefits Prioritizing problems Analyzing symptoms Proving effectiveness of remedy

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16. Control ch a rt Purpose: The primary purpose of a control chart is to predict expected product outcome. Benefits: Predict process out of control and out of specification limits Distinguish between specific, identifiable causes of variation Can be used for Statistical Process Control (SPC) 16

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18. Wh at does it look like Adding the element of the will help clarify your understanding of the causes of variation in the processes A run chart is a line graph of data points organized in time sequence and centered on the median data value. 18

19. Sc atter diagram Purpose: To identify the correl ation between two variables Benefits: helps identify and test prob a ble causes By knowing which elements of your process are related and how they are related 19