Types of analysis in LSS projects

LSS projects focus on data driven process improvements. Lean Six Sigma is all about data. Every phase of the DMAIC approach in LSS needs to be backed with data. Most of the data is collected in the Measure phase. This data gets analyzed, verified and validated using LSS tools.

Along with data analysis it is important to know about the process. So process analysis plays an equally important role in LSS projects. Knowledge about the current state of the process helps understand what the process steps of the current process. Here it is necessary to use the Go See Lean principle where the LSS team walks the process as it is currently running. Some Green and Black belts make the mistake on relying work instructions or hear say for the current state. However this may not represent what is actually being done on regular basis.

The figure below shows the types of analysis and some useful tools:


Analysis of critical parameters is the key to a successful Lean Six Sigma project. The challenge lies in identifying the critical parameters, gathering data and choosing the right analytical tools. Over and above knowledge about the process plays an important role too.

Have you experienced challenges related to analysis in your LSS project?