Scale-down models of individual operations are widely used in biopharmaceutical process development to obtain information about the performance of production-scale equipment on the basis of inexpensive and efficient laboratory-scale tests, for the purposes of validation or optimization or characterization studies. We have investigated the ability of scale-down models of whole process sequences to provide reliable information for process scale-up from laboratory-to pilot-scales of operation. Using the example of the recovery of a protein from transgenic milk, we have conducted an a priori scale-down analysis of a projected pilot-scale process sequence. A systematic approach was developed to ensure that all critical aspects of process behavior were included in the scale-down model, resulting in the creation of an accurate and reliable scale-down representation of the pilot-scale process. The data from scale-down process trials conducted at 70 and 200 mL scales of operation served to highlight crucial factors determining process performance, and proved reliable in predicting the performance of the pilot-scale process over a scaling factor of 1000.