Abstract: Provided herein are methods for dynamic bias management between online process analyzers and laboratory certification tests. In many refinery processes, online analyzers are used to determine any number of properties to ensure the product being produced meets a given target or specification. Refinery laboratory tests are typically used for certification, and therefore, biases between said certification tests and online process analyzers need to be managed to control/optimize the manufacturing process. The methods employ an exponential-weighted moving average (EWMA) dynamic correction factor based on historical process analyzer data versus laboratory certification samples in conjunction with structural bias correct functions to achieve this bias management.