Meaning ● Statistical Process Control (SPC) enables SMBs to proactively manage their processes and output by employing statistical techniques to monitor and control a process. Achieving optimal performance, improving efficiency and reducing waste can be realized by implementing SPC within automation initiatives and by monitoring quality during implementation.
Scope ● Within SMB growth, SPC’s scope extends to streamlining operations, maintaining consistent quality as production scales, and improving product development lifecycles using data driven decisions. When a process shifts outside of acceptable control limits, SPC provides early warning signals for intervention before defects occur, thereby decreasing overall operational cost, minimizing risk and enabling SMB’s to realize a streamlined scaling opportunity. Furthermore, using the capabilities of SPC in automating processes allows businesses to better implement new automation technologies by improving product quality, service, and SMB business models. SPC, at its core, offers a predictive, proactive method of improving processes vital for the steady growth of SMB’s.
