Powertrain mounting systems design and development involves creating and optimizing a solution using specific mount rates and multiple operating conditions. These mount rates become the recommended “nominal” rates in the specifications. As is typical of natural materials, the properties have variation resulting in a tolerance around the nominal specification which leads to differences in noise and vibration performance. A system that is robust to this variation is desired. The design and development process requires evaluation of these mounts to ensure that the noise and vibration performance is consistently met. During the hardware development of the powertrain mounting system a library of mounts that include the range of production variation is studied however this is time consuming. In this paper, a methodology is described to reduce the hardware evaluation time and provide a recommended optimal solution that is robust in the presence of production mount property variation. The method is based on making strategic, but limited, hardware measurements which are used to create a response surface model of critical noise and vibration performance attributes. The response surface model is employed to study the effects of mount property variation on the system. The results are validated with an analytical mass/stiffness model and confirmed with hardware testing. It is shown that if a “small change approximation” is valid, the method can reduce evaluation time and provide a robust solution with acceptable accuracy.