Critical and Non-critical Factors Sample Clauses

Critical and Non-critical Factors. In a designed experiment, critical and non-critical control factors must be identified. In this context, the term “critical” does not convey the importance of a particular factor. (Importance can only be determined through experimentation and characterization of the total process.) Rather, this term displays its relationship within the design of experiments. For the purposes of this TQAPP, the following definitions will be used for critical control factors, non-critical control factors, and critical response factors. • Critical control factor – a factor that is varied in a controlled manner within a design of experiments matrix to determine its effect on a particular outcome of a system. • Non-critical factors – factors that remain relatively constant or are randomized throughout the testing. • Critical response factors – the measured outcomes of each combination of critical and non-critical control factors used in the design of experiments. In this verification test, there is only one critical control factor, the coating itself. All other processing factors are non-critical control factors; therefore, the multiple runs and sample measurements within each run for each critical response factor will be used to determine the amount of variation expected for each critical response factor. For example, for each coating application, parameters associated with pretreatment would remain constant, and, thus, be non-critical control factors; however, a parameter, such as adhesion, would be identified as a critical response factor and could vary from run to run. Tables 2 through 4 identify the factors to be monitored during testing, as well as their acceptance criteria (where appropriate), data quality indicators, measurement locations, and measurement frequencies. The values in the Total Numbers column are based on the default test scenarios.