Using EIP Data Scenarios

How you define the Quality measurement plans determines how you should define and structure the Quality EIPs. The simpler the plans, the easier to define subgroups using EIPs.

Note: Complex measurement plans are inherently more difficult to integrate, test, and validate. Plans that may be appropriate for manual data entry might be cumbersome or impractical in an EIP configuration.

Sample

Traceability Item 1

Traceability Item 2

Characteristic 1

Characteristic 2

1

none

none

none

none

2

none

none

none

none

3

none

none

none

none

This diagram illustrates the EIP data scenario

EIP data scenario

Scenario #1

A simple measurement plan with two variables type characteristics.

Sample

Lot Number

Serial Number

Length

Width

1

X02-00

SN-01

2.31

4.31

2

X02-00

SN-02

2.29

4.32

3

X02-00

SN-03

2.30

4.29

This diagram illustrates scenario #1 that has a simple measurement plan with two variables type characteristics.

Scenario #1

Scenario #2

A measurement plan containing variables type characteristics with one derived characteristic. In this scenario, the area characteristic is derived from the length and width characteristics.

Sample

Lot Number

Serial Number

Length

Width

Area +

1

X02-00

SN-01

2.31

4.31

none

2

X02-00

SN-02

2.29

4.32

none

3

X02-00

SN-03

2.30

4.29

none

This diagram illustrates scenario #2 that has a measurement plan containing variables type characteristics with one derived characteristic.

Scenario #2

Note: You must submit a QS_EIP_SGRP_SUB record for the derived area characteristic, because the system knows nothing about measurement plans. It only knows and understands process streams. For the system to calculate the areas for this session, it must be asked to do so.

Scenario # 3

A measurement plan that contains variables type characteristics with non-uniform subgroup sample sizes.

Sample

Lot Number

Serial Number

Length

Width

1

X02-00

SN-01

2.31

4.31

2

X02-00

SN-02

2.29

4.32

3

X02-00

SN-03

2.30

4.29

4

X02-00

SN-04

none

4.30

5

X02-00

SN-05

none

4.31

This diagram illustrates scenario #3 that has a measurement plan containing variables type characteristics with non-uniform subgroup sample sizes.

Scenario #3

Scenario #4

A measurement plan with variables type characteristics with readings for one of the characteristics that is incomplete. In this scenario, length readings are incomplete.

Sample

Lot Number

Serial Number

Length

Width

1

X02-00

SN-01

2.31

4.31

2

X02-00

SN-02

2.29

4.32

3

X02-00

SN-03

2.30

4.29

4

X02-00

SN-04

-

4.30

5

X02-00

SN-05

-

4.31

This diagram illustrates scenario #4 that has a measurement plan containing variables type characteristics with readings for one of the characteristics that is incomplete.

Scenario #4

Scenario #5

A simple defectives type sample where the subgroup size is fixed.

Sample

Lot Number

Bad Units

1

X02-00

6.00

This diagram illustrates scenario #5 that has a simple defectives type sample where the subgroup size is fixed.

Scenario #5

Scenario #6

A defectives type sample where the subgroup sample size is variable.

Sample

Lot Number

Defective Units Subgroup Size

Defective Units

Bad Units

1

X02-00

1000

2.00

This diagram illustrates scenario #6 that has a defectives type sample where the subgroup sample size is variable.

Scenario #6

Scenario #7

A measurement plan with defectives categorized where the subgroup sample size is fixed at five. A sample might have one or more defects that qualify as making the item defective. In this scenario, there are five items, two of which are defective. In addition to noting the number of defective units, state the reason why they are defective.

Note: The data source determines whether the collection of defects constitutes a defective item.

Sample

Lot Number

Serial Number

Defectives

Defect

Defectives

Bad Units

1

X02-00

SN-01

3 Scratches, Top, Left

1 Broken, Contact Pin, P4

2

2

X02-00

SN-02

No defects

none

3

X02-00

SN-03

No defects

none

4

X02-00

SN-04

No defects

none

5

X02-00

SN-05

1 Paint Smear, Bottom, Left

none

This diagram illustrates scenario #7 that has a measurement plan with defectives categorized where the subgroup sample size is fixed at five.

Scenario #7

Scenario #8

A measurement plan with defects data type characteristics where the subgroup sample size is fixed or variable.

Sample

Lot Number

Serial Number

Physical Defects *

1

X02-00

SN-01

3 Scratches, Top, Left

1 Blemishes, Bottom, Right

2

X02-00

SN-02

1 Finish, Top, Right

3

X02-00

SN-03

2 Scratches, Top, Left

1 Scratches, Top, Right

2 Scratches, Bottom, Right

4

X02-00

SN-04

No defects

5

X02-00

SN-05

1 Paint smear, Bottom, Left

Note: * Physical Defects is a user-defined characteristic name and not a predefined type.

This diagram illustrates scenario #8 that has a measurement plan with defects data type characteristics where the subgroup sample size is fixed or variable.

Scenario #8

Scenario #9

A measurement plan with two defects data type characteristics where the subgroup sample size is uniform.

Sample

Lot Number

Serial Number

Physical Defects *

Electrical Defects *

1

X02-00

SN-01

3 Scratches, Top, Left

1 Blemishes, Bottom, Right

1 Inoperative connector, pin, 3

2

X02-00

SN-02

1 Finish, Top, Right

No defects

3

X02-00

SN-03

2 Scratches, Top, Left

1 Scratches, Top, Right

2 Scratches, Bottom, Right

No defects

4

X02-00

SN-04

No defects

1 Inoperative chip, 741OpAmp, 2

5

X02-00

SN-05

1 Paint Smear, Bottom, Left

I Incorrect jumper, Jmp 2, Pins 2-3

Note: * Physical Defects and Electrical Defects are user-defined characteristic names and not predefined types.

This diagram illustrates scenario #9 that has a measurement plan with two defects data type characteristics where the subgroup sample size is uniform.

Scenario #9

Scenario #10

A measurement plan with variables and defects data type characteristics with a uniform subgroup sample size of 5.

Sample

Lot Number

Serial Number

Physical Defects *

Length

Width

1

X02-00

SN-01

3 Scratches, Top, Left

1 Blemishes, Bottom, Right

2.31

4.31

2

X02-00

SN-02

1 Finish, Top, Right

2.29

4.32

3

X02-00

SN-03

2 Scratches, Top, Left

1 Scratches, Top, Right

2 Scratches, Bottom, Right

2.30

4.29

4

X02-00

SN-04

No defects

2.30

4.30

5

X02-00

SN-05

1 Paint smear, Bottom, Left

2.31

4.31

Note: * Physical Defects is a user-defined characteristic name and not a predefined type.

This diagram illustrates scenario #10 that has a measurement plan with variables and defects data type characteristics with a uniform subgroup sample size of 5.

Scenario #10

Scenario #11

A measurement plan with variables and defects data type characteristics and a non-uniform subgroup sample size.

Sample

Lot Number

Serial Number

Physical Defects *

Length

Width

1

X02-00

SN-01

3 Scratches, Top, Left

1 Blemishes, Bottom, Right

2.31

4.31

2

X02-00

SN-02

1 Finish, Top, Right

2.29

4.32

3

X02-00

SN-03

2 Scratches, Top, Left

1 Scratches, Top, Right

2 Scratches, Bottom, Right

none

4.29

4

X02-00

SN-04

none

none

4.30

5

X02-00

SN-05

none

none

4.31

Note: * Physical Defects is a user-defined characteristic name and not a predefined type.

his diagram illustrates scenario #11 that has a measurement plan with variables and defects data type characteristics and a non-uniform subgroup sample size.

Scenario #11

Scenario #12

A measurement plan with two defects and one defectives data type characteristics where the subgroup sample size is uniform.

Sample

Lot Number

Serial Number

Physical Defects *

Electrical Defects *

Bad Units

1

X02-00

SN-01

3 Scratches, Top, Left

1 Blemishes, Bottom, Right

1 Inoperative connector, pin, 3

3

2

X02-00

SN-02

No defects

No defects

none

3

X02-00

SN-03

No defects

No defects

none

4

X02-00

SN-04

No defects

1 Inoperative chip, 741OpAmp, 2

none

5

X02-00

SN-05

1 Paint smear, Bottom, Left

1 Incorrect jumper, Jmp 2, Pins 2-3

none

Note: * Physical Defects and Electrical Defects are user-defined characteristic names and not predefined types.

This diagram illustrates scenario #12 that has a measurement plan with two defects and one defectives data type characteristics where the subgroup sample size is uniform.

Scenario #12