Statistical Productivity Improvement (most commonly known as SPI) is a system used to measure, analyze, and improve the processes associated with four Key Resource Processes: Tools, Materials, Equipment, and Information. The SPI analysis allows project management to better understand and quantify the impact of productivity barriers and to subsequently develop appropriate action plans to improve productivity.

The SPI process is a unique approach to traditional Industrial Engineering practices that incorporates a custom-designed data management system and innovative technology to conduct productivity measurement. Implementation of this approach allows clients to effectively measure work process improvement against an established baseline, quantify that improvement, and demonstrate its value to clients.

You can also use the virtual Potential Savings Opportunity (SPO) tool to understand how changes made on site could be reflected in Statistical Productivity Improvement (SPI) data levels and see potential returns.