The number of biotechnology-based human therapeutic products in the late-stage pipeline, and the average cost to commercialize a biotech product, have steadily increased. This has required biotech companies to use economic analysis as a tool during process development and for making decisions about process design. Process development efforts now aim to create processes that are economical, as well as optimal and robust.
This article shows how Probabilistic Tolerance Intervals of the form, "We are 99% confident that 99% of the measurements will fall within the calculated tolerance limits" can be used to set acceptance limits using production data that are approximately Normally distributed. If the production measurements are concentrations of residual compounds that are present in very low concentrations, it may be appropriate to set acceptance limits by fitting a Poisson or an Exponential Distribution.