// ROBOTICS AND SMART FACTORIES TERM
Six Sigma
Six Sigma is a set of techniques and tools for process improvement, aiming to reduce defects and variability in manufacturing and business processes. It seeks to achieve near-perfect quality.
TECHNICAL DEFINITION
Six Sigma is a data-driven methodology focused on process improvement, utilizing statistical analysis to identify and eliminate defects and variability, aiming for 3.4 defects per million opportunities (DPMO) in manufacturing and service operations.
BACKGROUND
Six Sigma (6σ) is a set of techniques and tools for process improvement. It was introduced by American engineer Bill Smith while working at Motorola in 1986.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Process improvement
- Quality management
- DMAIC
- Lean Six Sigma
- Defect reduction
- Statistical quality control
USAGE NOTE
Companies implement Six Sigma projects to achieve significant reductions in operational costs and enhance customer satisfaction.
DEVELOPERS
Organizations developing technology related to Six Sigma.
Developer of Minitab Statistical Software, a leading package used by Six Sigma practitioners for data analysis, statistical process control (SPC), and process improvement projects following the DMAIC (Define, Measure, Analyze, Improve, Control) framework.
Provides real-time Statistical Process Control (SPC) and quality intelligence software. Their platform automates data collection and analysis, helping manufacturers apply Six Sigma principles to monitor processes, reduce variation, and improve quality.
A leader in advanced analytics, SAS provides software for statistical analysis, predictive modeling, and quality management that enables organizations to perform the complex data analysis required for Six Sigma projects, especially in big data environments.
Through its Digital Industries software suite, including the MindSphere IIoT platform, Siemens enables manufacturers to collect and analyze real-time production data to optimize processes, predict failures, and implement data-driven quality control in line with Six Sigma methodologies.
Evolving from a company that pioneered the corporate adoption of Six Sigma, GE Digital develops industrial software, including Asset Performance Management (APM) tools, which use data and analytics to reduce process variability and improve asset reliability.
Offers the 3DEXPERIENCE platform with applications like DELMIA, which provides manufacturing operations management (MOM) and virtual simulation tools to model, optimize, and control production processes, directly supporting the DMAIC cycle of Six Sigma.
Develops business intelligence and advanced analytics software, such as TIBCO Spotfire, used by manufacturers to visually analyze process data, identify root causes of defects, and monitor key performance indicators in real-time, supporting the Analyze and Control phases of Six Sigma.