There are generally four classes of software used to support the Six Sigma process improvement protocol:
- Analysis tools, which are used to perform statistical or process analysis;
- Program management tools, used to manage and track a corporation's entire Six Sigma program;
- DMAIC and Lean online project collaboration tools for local and global teams;
- Data Collection tools that feed information directly into the analysis tools and significantly reduce the time spent gathering data.
Analysis tools
- ARIS Six Sigma
- IBM WebSphere Business Modeler
- JMP
- Oracle Crystal Ball (part of Oracle Fusion Middleware)
- Microsoft Visio
- Minitab
- NCSS Statistical Software
- QPR ProcessGuide by QPR Software
- Quality Companion by Minitab
- RCASE
- R language (open source)
- SDI Tools
- SigmaXL
- Software AG webMethods BPM Suite
- Statgraphics
- STATISTICA
- Telelogic System Architect
Notes
- Statistical and graphic functions from the base installation can be used for Six Sigma projects. Furthermore, some contributed packages at CRAN contains specific tools for Six Sigma: SixSigma, qualityTools, qcc and IQCC.
References
- "R: A Language and Environment for Statistical Computing". R Foundation for Statistical Computing. Retrieved 2011-08-24.
- Emilio Lopez; Andres Redchuk; Javier M.Moguerza. "SixSigma: Six Sigma Tools for Quality and Process Improvement". Retrieved 2011-08-24.
- Thomas Roth. "qualityTools: Statistical Methods for Quality Science". Retrieved 2011-08-24.
- Luca Scrucca. "qcc: Quality Control Charts". Retrieved 2011-08-24.
- Daniela R. Recchia; Emanuel P. Barbosa; Elias de Jesus Goncalves. "IQCC: Improved Quality Control Charts". Retrieved 2011-08-24.