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By Ed Landauer, C.Q.E., P.E. November 13, 2012. Short Run SPC What it is What it isn’t SPC is not intended to be a substitute for inspection and testing.

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Presentation on theme: "By Ed Landauer, C.Q.E., P.E. November 13, 2012. Short Run SPC What it is What it isn’t SPC is not intended to be a substitute for inspection and testing."— Presentation transcript:

1 By Ed Landauer, C.Q.E., P.E. November 13, 2012

2 Short Run SPC What it is What it isn’t SPC is not intended to be a substitute for inspection and testing Programs such as JIT make Short Run SPC more common

3 What Constitutes a Short Run? A run of 25 parts? A run of 100 parts? A run of 1000 parts? A run of 50,000 parts? A single part?

4 General Categories of Short Runs Not enough parts in a single production run to develop or maintain control limits on the process Process cycles are so short that production runs are over before sufficient data can be gathered Many different parts are made for many different customers Examples

5 Example: CNC Machine Extremely complex machine Has dozens of different tools That produce hundreds of different parts With thousands of characteristics

6 Example: CNC Machine- Generic Operations Select a tool Position a tool Rotate a tool Move the part Remove the metal

7 Example: CNC Machine Nearly all problems encountered after the initial set-up involve the ability of the machine to position the tool precisely For example, the location of a single hole provides information on the location of the tool in both the x and y directions

8 Sample Set of Data Twelve subgroups- 3 observations per subgroup 5.0037 5.0009 4.9973 5.9974 6.0021 5.9981 5.0015 5.0023 5.0029 5.9990 5.9983 6.0018 4.9989 4.9981 4.9985 6.0015 5.9977 6.0023 7.0014 6.9991 7.0003 6.0031 5.9987 5.9987 7.0009 6.9979 6.9975 5.9985 6.0011 6.0021 6.9979 6.9995 7.0021 6.0017 6.0021 6.0001

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10 Method 1: Target Average and Range Charts Subtract nominal (or target) value from the actual measurements x* = x - nominal Can plot several parts from a given process on a single chart Can plot several features from a single part on a single chart

11 Method 1: Restrictions Nominal (or target) values must be close to each other with the same tolerance Or the most restrictive tolerance must be used for all

12 Method 1: Control Limits Calculate averages and ranges of the deviations from target Control limit formulas are the same as for traditional control charts

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14 Method 2: Standardized Variables Control Charts Good for recurring families of parts They are independent of the unit of measure They are scaled so that different characteristics can be plotted on the same chart They are “true” process control charts

15 Method 2: Calculations Use the normalizing transformations Need to use historical averages from previous data in the calculations

16 Method 2: Control Limits X-bar Chart-A 2 and A 2 R chart D 3 and D 4

17 Short Run Attribute Chart- c-chart Job shop welding process Produces small quantities of single order only parts Operation always involves joining parts of similar material and size Can plot chart of weld imperfections per 100 inches of weld

18 Short Run Attribute Chart- p-chart Job shop welding process Similar operation to previous slide Plot chart of the number of weld imperfections per total welds per 100 inches of weld

19 Summary Only minor change in mechanics to move from traditional SPC to Short Run SPC The biggest difference in the perception of Statistical Process Control rather than Statistical Product Control

20 Questions?

21 Thank You! EDL22@comcast.net


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