// ROBOTICS AND SMART FACTORIES TERM
DMAIC
DMAIC is a five-phase problem-solving methodology used in Six Sigma to improve existing processes. The phases are Define, Measure, Analyze, Improve, and Control.
TECHNICAL DEFINITION
DMAIC is a structured, data-driven problem-solving methodology central to Six Sigma, comprising five phases: Define (problem/goals), Measure (current performance), Analyze (root causes), Improve (implement solutions), and Control (sustain gains), used for optimizing existing processes.
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
- Six Sigma methodology
- Process improvement cycle
- Define-Measure-Analyze-Improve-Control
USAGE NOTE
DMAIC projects are typically led by Green Belts or Black Belts to achieve significant process improvements.
DEVELOPERS
Organizations developing technology related to DMAIC.
A leading provider of statistical software specifically designed for quality improvement and Six Sigma projects. Minitab's software is a standard tool for professionals executing DMAIC projects, offering capabilities for statistical analysis, data visualization, and predictive analytics crucial for the Measure, Analyze, and Control phases.
A market leader in process mining and execution management. Celonis's technology automatically visualizes business processes as they truly happen, measures performance, and identifies bottlenecks. This directly supports the DMAIC cycle by programmatically defining, measuring, and analyzing processes to find improvement opportunities.
JMP provides a suite of statistical analysis software used extensively in manufacturing for process improvement. As a direct competitor to Minitab, its tools for data exploration, statistical modeling, and design of experiments (DOE) are fundamental for engineers and analysts working through the Analyze and Improve phases of DMAIC.
Specializes in real-time Statistical Process Control (SPC) and quality intelligence software. Their platform, Enact, automates data collection and analysis, enabling manufacturers to monitor processes in real-time. This is a core technology for the Measure and Control phases of DMAIC, helping to sustain gains and control process variation.
Provides a business process management (BPM) and analysis platform that helps organizations map, model, and simulate their processes. This technology is critical for the 'Define' phase of DMAIC, allowing teams to create a clear visual understanding of the current state process before beginning measurement and analysis.
Offers a comprehensive suite of industrial software, including Manufacturing Execution Systems (MES) like Opcenter. These systems collect and contextualize vast amounts of production data, providing the foundational data infrastructure for the 'Measure' phase of any large-scale DMAIC initiative in a modern factory.
A leading data visualization and business intelligence platform. While a general-purpose tool, Tableau is widely used in DMAIC projects to explore data and communicate findings during the 'Analyze' phase. Its interactive dashboards are also used in the 'Control' phase to monitor key process metrics over time.