Focusing on the process, not the product, is the key to implementing statistical process control in low-volume manufacturing environments. One approach is to initially assume that all products are being produced by a common process. Data can be used to verify or refute this assumption. If it is refuted, the appropriate subprocesses that must be monitored separately can be identified. A case study of a small batch machining process is used to describe this approach to implementing low-volume SPC.