# Baseline Measurement

Description:

A Baseline Measurement is needed to determine the exact starting point for each project contract primary (Y) and secondary metrics (y's). These are usually referred to as the "Before" measurement. The final project measurement is called the "After" measurement.

Objective:

The primary metric of interest (to improve) is the output, Y. The baseline measurement (or beginning performance) is necessary to determine the progress of the team. Going through his process from the most recent data collection and sampling may generate a value different from that shown originally on the project contract .

At this point, if the difference is significant, the Champion, Sponsor, and management may need to revise the contract and the financials.

## DEFECT

A characteristic / opportunity / feature that is non conforming. Each unit or piece being appraised may have multiple defects.

To distinguish the spectrum of defect types among units write clear instructions, use visual aids, and/or add numerical specifications.

Definitions of defects should be known and held consistent throughout the project. If it is found that new instructions and aids are necessary then these should be shared (such as in a SOP or Work Instruction) with all operators and employees affected so appraisals are reproducible among everyone.

A Poisson comparison is used for before and after metrics when counting defects per unit since there may be more than one defect per unit that creates a defective unit.

## DEFECTIVE (or NON DEFECTIVE)

A piece or unit that is non conforming or does not meet the customer specification. A defective part or unit may have one or more defects.

A part can be either one of two outcomes: Defective or Not Defective

When there are two outcomes and equal chance each time, this follows the Binomial Distribution

If there are 80 critical characteristics on a part, then one part can have up to 80 defects. Whether the part has 1 or 80 defects, it is considered one defective part.

Numerical statistics are used as baseline measurements, examples are shown below and calculations can be found at Basic Statistics

## DPMO vs PPM

DPMO is not the same as PPM since it is possible that each unit (part) being appraised may have multiple defects of the same type or may have multiple types of defects. A part is defective if it has one or more defects. The number of Defectives can never exceed the number of defects.

If each part only has one characteristic that can be a defect, then DPMO and PPM will be the same.

DPMO will always exceed or equal PPM for a given yield or sigma level of performance.

### Process Capability Flowchart for Continuous data

Assessing continuous data is preferred over attribute data, when possible convert to variable data. Follow the flowchart shown below to determine process capability when analyzing continuous data.

#### Six Sigma & LeanCourses (online, onsite, classroom)

Six Sigma

Templates & Calculators

Six Sigma Modules

Green Belt Program (1,000+ Slides)

Basic Statistics

SPC

Process Mapping

Capability Studies

MSA

Cause & Effect Matrix

FMEA

Multivariate Analysis

Central Limit Theorem

Confidence Intervals

Hypothesis Testing

T Tests

1-Way Anova Test

Chi-Square Test

Correlation and Regression

SMED

Control Plan

Kaizen

Error Proofing