In kimjam/srms: Package to automate tasks and reporting for OCD SRMS Team.

Trending Methodology

The trending status (favorable trend, no significant trend, unfavorable trend) is determined by:

A line of best fit is calculated for the past six months of data using linear regression.

Formula: Y = B0 + B1X,
 where B0 is a constant (intercept), B1 is the slope (regression coefficient),
 X is the value of the independent variable (Month),
 and Y is the value of the dependent variable (value of metric).

The slope and p value for the slope of the line is extracted and a trend type is determined using a 90% condfidence interval.

A favorable trend is defined as:
 First Pass Acceptance Metrics: If the slope of the line is positive and the p value <= 0.1.
 Other Metrics: If the slope of the line is negative and the p value <= 0.1.

An unfavorable trend is defined as:
 First Pass Acceptance Metrics: If the slope of the line is negative and the p value <= 0.1.
 Created, Aged, and Open Supplier NCs: If the slope of the line is positive, the P value <= 0.1
  and the number of NCs for current month >= 5.
 Other Metrics: If the slope of the line is positive and the p value <= 0.1.

A neutral (not significant) trend is defined as:
 Created, Aged, and Open Supplier NCs: If the P value > 0.1 or if the P value <= 0.1
  and the number of NCs for current month < 5.
 Other Metrics: The p value > 0.1.

kimjam/srms documentation built on May 20, 2019, 10:21 p.m.