Automated data-driven closed-loop-feedback method for adaptive and comparative quality control in a discrete data aggregation environment

An apparatus comprising:

• a receiver module that receives supplier quality data, the supplier quality data comprising discrete quality data, the supplier quality data for one of
• a quantity of a component supplied to a company over a supplier measurement period;
• and
• a service provided on behalf of the company over a supplier measurement period, wherein the service is provided to one or more of
• the company;
• and
• a customer;
• wherein the supplier quality data comprises information regarding quality of the component supplied to the company or the service provided on behalf of the company;
• an aggregation module that aggregates quality data received from two or more suppliers, the quality data for the component supplied to the company or service provided for the company over a baseline time period, the quality data comprising discrete quality data, wherein aggregating the quality data comprises one of
• summing component failures of two or more suppliers over a baseline time period and summing a quantity of components tested by the two or more suppliers over the baseline time period, and
• summing averages scores for a service provided by the two or more suppliers over the baseline time period and dividing the sum by the number of suppliers;
• a baseline module that calculates a quality benchmark using the aggregated quality data from the aggregation module, wherein the quality benchmark comprises one of
• a ratio of a quantity of component failures to a quantity of components tested within the baseline time period for the aggregated quality data;
• and
• an average score of service provided by the suppliers within the baseline time period, the average score based on the aggregate quality data;
• an alarm level module that sets one or more alarm levels by multiplying the quality benchmark of the aggregated quality data by one or more alarm multipliers, wherein each alarm multiplier is associated with an alarm level, wherein each alarm level is associated with a different level of severity of a quality issue, wherein the alarm multiplier is based on the level of severity of the quality issue, the level of severity being based on how close the alarm level is to the quality benchmark;
• a supplier quality module that determines a supplier quality level for the supplier measurement time period, the supplier quality level based on the supplier quality data;
• an alarm module that determines if the supplier quality level exceeds an alarm level;
• and
• an alarm response module that initiates an alarm response in response to the alarm module determining that the supplier quality level exceeds an alarm level, each alarm response appropriate for a level of severity of the alarm level exceeded by the supplier quality level.

A computer program product for determining supplier quality, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therein, the computer readable program code configured to:

• receive supplier quality data, the supplier quality data comprising discrete quality data, the supplier quality data for one of
• a quantity of a component supplied to a company over a supplier measurement period;
• and
• a service provided on behalf of the company over a supplier measurement period, wherein the service is provided to one or more of
• the company;
• and
• a customer;
• wherein the supplier quality data comprises information regarding quality of the component supplied to the company or the service provided on behalf of the company;
• aggregate quality data received from two or more suppliers, the quality data for the component supplied to the company or service provided for the company over a baseline time period, the quality data comprising discrete quality data, wherein aggregating the quality data comprises one of
• summing component failures of two or more suppliers over a baseline time period and summing a quantity of components tested by the two or more suppliers over the baseline time period, and
• summing averages scores for a service provided by the two or more suppliers over the baseline time period and dividing the sum by the number of suppliers;
• calculate a quality benchmark using the aggregated quality data, wherein the quality benchmark comprises one of
• a ratio of a quantity of component failures to a quantity of components tested within the baseline time period for the aggregated quality data;
• and
• an average score of service provided by the suppliers within the baseline time period, the average score based on the aggregate quality data;
• set one or more alarm levels, the alarm levels by multiplying the quality benchmark of the aggregated quality data by one or more alarm multipliers, wherein each alarm multiplier is associated with an alarm level, wherein each alarm level is associated with a different level of severity of a quality issue, wherein the alarm multiplier is based on the level of severity of the quality issue, the level of severity being based on how close the alarm level is to the quality benchmark;
• determine a supplier quality level for the supplier measurement time period, the supplier quality level based on the supplier quality data;
• determine if the supplier quality level exceeds an alarm level;
• and
• initiate an alarm response in response to determining that the supplier quality level exceeds an alarm level, each alarm response appropriate for a level of severity of the alarm level exceeded by the supplier quality level.

A method comprising:

• receiving supplier quality data, the supplier quality data comprising discrete quality data, the supplier quality data for a quantity of a component supplied to a company over a supplier measurement period, wherein the service is provided to one or more of
• the company;
• and
• a customer
• wherein the supplier quality data comprises information regarding the quality of the component supplied to the company or the service provided on behalf of the company;
• aggregating quality data received from two or more suppliers by summing component failures of two or more suppliers over a baseline time period and summing a quantity of components tested by the two or more suppliers over the baseline time period, the quality data for the component supplied to the company, the quality data comprising discrete quality data;
• determining a quality benchmark using the aggregated quality data, the quality benchmark comprising a ratio of a quantity of component failures to a quantity of components tested within the baseline time period for the aggregated quality data;
• setting one or more alarm levels by multiplying the quality benchmark by one or more alarm multipliers, wherein each alarm multiplier is associated with an alarm level, wherein each alarm level is associated with a different level of severity of a quality issue, wherein the alarm multiplier is based on the level of severity of the quality issue, the level of severity being based on how close the alarm level is to the quality benchmark;
• determining a supplier quality level for the supplier measurement time period by determining a ratio of a quantity of component failures to a quantity of components tested, the quantity of component failures and the quantity of components tested within in the supplier quality data for the supplier measurement period;
• determining if the supplier quality level exceeds an alarm level;
• and
• initiating an alarm response in response to determining that the supplier quality level exceeds an alarm level, each alarm response appropriate for a level of severity of the alarm level exceeded by the supplier quality level.