3- Exploratory analysis
To answer the inevitable questions encountered in the PDCA and PDSA loops, Pearson developed the EQAV loop: Explore to find key relationships, Quantify the relationships mathematically, Analyze the effect of proposed actions, and Verify that corrective action works effectively through automated experiments.
4- Knowledge building
Based on Deming's profound knowledge model, Step 4 provides the architecture for automated knowledge building. Automated knowledge databases can use this model to build and deliver better knowledge products just in time to those who need it most.
This loop illustrates how Senge's Fifth Discipline fulfills the need to understand complex systems with feedback, control loops, and lag time. More powerful automated systems can combine dynamic systems views with statistical methods to provide better control and understanding of complex systems.
The emerging knowledge base and knowledge management methods can be applied to the operations management environment. Traditional applications of data warehouses and corporate databases may provide useful summary or historical information for operations management and improvement. But they are typically unable to provide the levels of detail, responsiveness, and flexibility to support exploratory analysis and real-time process monitoring.
To develop breakthrough improvements, Pearson incorporates Edward de Bono's techniques for creative problem solving. The new operations MIS results in real-time alerts and information that provide powerful provocation to the creative process and then provide low-risk analyses, experiments, and simulations that facilitate lateral thinking and movement.
Learning Organization and Knowledge Management