// ROBOTICS AND SMART FACTORIES TERM
DPMO
Defects Per Million Opportunities, a metric used to quantify the number of defects found per million chances for a defect to occur.
TECHNICAL DEFINITION
DPMO (Defects Per Million Opportunities) is a Six Sigma metric that quantifies process performance by calculating the number of defects observed per million potential defect opportunities, providing a normalized measure of quality.
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
- Defects Per Million
- PPM (Parts Per Million)
USAGE NOTE
Used to compare the quality performance of different processes or products, especially in high-volume manufacturing.
DEVELOPERS
Organizations developing technology related to DPMO.
A leading provider of real-time Statistical Process Control (SPC) software. Their platforms help manufacturers monitor processes, analyze quality data, and reduce process variation to lower DPMO and achieve Six Sigma quality levels.
Specializes in machine vision systems, software, and sensors used in automated manufacturing. Their technology is used for detecting defects, guiding assembly robots, and tracking parts, which are critical for measuring and improving DPMO.
Offers a comprehensive suite of industrial software, including Manufacturing Execution Systems (MES) and IIoT platforms. These tools enable manufacturers to digitize and monitor production processes, track quality metrics like DPMO, and perform root cause analysis.
A global leader in factory automation equipment, including sensors, vision systems, and high-precision measuring instruments. Their products are used for in-line inspection and quality control to identify defects and ensure process stability, directly impacting DPMO.
Provides industrial automation and digital transformation solutions. Their FactoryTalk software suite includes MES and analytics capabilities that enable manufacturers to monitor production quality, implement SPC, and reduce defects to improve DPMO.
A developer of advanced analytics software. SAS provides tools for statistical process control (SPC), predictive modeling, and root cause analysis that help organizations analyze manufacturing data to understand process variability and systematically reduce defects.
Develops a manufacturing analytics platform that uses AI to transform raw plant data into actionable insights. The platform helps manufacturers analyze production processes to identify the root causes of quality issues and defects, directly supporting DPMO reduction initiatives.
Provides a frontline operations platform that allows manufacturers to create applications for shop floor workers. These apps are used for guided workflows, real-time data collection for quality checks, and process monitoring, which helps reduce human error and improve defect rates.