Six Sigma - Measure Phase

During the Measure Phase, the overall performance of the Core Business Process is measured.

There are three important parts of Measure Phase.

Data Collection Plan and Data Collection

A data collection plan is prepared to collect the required data. This plan includes what type of data needs to be collected, what are the sources of data, etc. The reason to collect data is to identify areas where current processes need to be improved.

You collect data from three primary sources: input, process, and output.

      The input source is where the process is generated.

      Process data refers to tests of efficiency: the time requirements, cost, value, defects or errors, and labor spent on the process.

      Output is a measurement of efficiency.

Data Evaluation:

At this stage, the collected data is evaluated and sigma is calculated. It gives an approximate number of defects.

      A Six Sigma defect is defined as anything outside of customer specifications.

      A Six Sigma opportunity is the total quantity of chances for a defect.

First we calculate Defects Per Million Opportunities (DPMO), and based on that a Sigma is decided from a predefined table:

                 Number of defects
DPMO
=   ------------------------------------------- x 1,000,000
         
Number of Units x Number of opportunities

As stated above, Number of defects is the total number of defects found, Number of Units is the number of units produced, and number of opportunities means the number of ways to generate defects.

For example, the food ordering delivery project team examines 50 deliveries and finds out the following:

      Delivery is not on time (13)

      Ordered food is not according to the order (3)

      Food is not fresh (0)

So now, DPMO will be as follows:

       13 + 3                                                                         
DPMO
= ----------- x 1,000,000 = 106,666.7
       
50 x 3

According to the Yield to Sigma Conversion Table given, below 106,666.7 defects per million opportunities is equivalent to a sigma performance of between 2.7 and 2.8.

This is the method used for measuring results as we proceed through a project. This beginning point enables us to locate the cause and effect of those processes and to seek defect point so that the procedure can be improved.

Failure Mode and Effects Analysis - FMEA

The final segment of the measure phase is called FMEA. It refers to preventing defects before they occur. The FMEA process usually includes rating possible defects, or failures, in three ways:

      The likelihood that something might go wrong.

      The ability to detect a defect.

      The level of severity of the defect.

You may use a rating scale. For example, rate each of these three areas from 1 to 10, with 1 being the lowest FMEA level and 10 being the highest. The higher the level, the more severe the rating. Hence, a high FMEA indicates the need to devise and implement improved measuring steps within the overall process. This would have the effect of preventing defects. Clearly, there is no need to spend a lot of time on this procedure if the likelihood of a defect is low.

Yield to Sigma Conversion Table

Yield %

Sigma

Defects Per Million Opportunities

99.9997

6.00

3.4

99.9995

5.92

5

99.9992

5.81

8

99.9990

5.76

10

99.9980

5.61

20

99.9970

5.51

30

99.9960

5.44

40

99.9930

5.31

70

99.9900

5.22

100

99.9850

5.12

150

99.9770

5.00

230

99.9670

4.91

330

99.9520

4.80

480

99.9320

4.70

680

99.9040

4.60

960

99.8650

4.50

1350

99.8140

4.40

1860

99.7450

4.30

2550

99.6540

4.20

3460

99.5340

4.10

4660

99.3790

4.00

6210

99.1810

3.90

8190

98.9300

3.80

10700

98.6100

3.70

13900

98.2200

3.60

17800

97.7300

3.50

22700

97.1300

3.40

28700

96.4100

3.30

35900

95.5400

3.20

44600

94.5200

3.10

54800

93.3200

3.00

66800

91.9200

2.90

80800

90.3200

2.80

96800

88.5000

2.70

115000

86.5000

2.60

135000

84.2000

2.50

158000

81.6000

2.40

184000

78.8000

2.30

212000

75.8000

2.20

242000

72.6000

2.10

274000

69.2000

2.00

308000

65.6000

1.90

344000

61.8000

1.80

382000

58.0000

1.70

420000

54.0000

1.60

460000

50.0000

1.50

500000

46.0000

1.40

540000

43.0000

1.32

570000

39.0000

1.22

610000

35.0000

1.11

650000

31.0000

1.00

690000

28.0000

0.92

720000

25.0000

0.83

750000

22.0000

0.73

780000

19.0000

0.62

810000

16.0000

0.51

840000

14.0000

0.42

860000

12.0000

0.33

880000

10.0000

0.22

900000

8.0000

0.09

920000