// ROBOTICS AND SMART FACTORIES TERM
Quality Metrics
Quality metrics are measurable indicators used to track and assess the performance of products, processes, and services against defined quality standards. They help organizations understand how well they are meeting quality goals.
TECHNICAL DEFINITION
Quality Metrics are quantifiable measures in Industry 5.0 manufacturing used to evaluate product, process, or service performance against established quality benchmarks, providing data-driven insights for monitoring, control, and continuous improvement initiatives.
BACKGROUND
Lean manufacturing is a management system built on three principles: produce only what is needed, when it is needed; correct abnormalities as soon as they occur; and empower workers to improve the process themselves.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Key Performance Indicators (KPIs)
- Quality Indicators
- Performance Metrics
- Measurement of Quality
USAGE NOTE
Common quality metrics include defect rates, customer satisfaction scores, and on-time delivery percentages.
DEVELOPERS
Organizations developing technology related to Quality Metrics.
Develops the Opcenter Quality software suite, an integral part of its Xcelerator portfolio, which provides a comprehensive Quality Management System (QMS) for digitizing and automating quality control and monitoring key performance indicators in manufacturing.
Specializes in machine vision systems, software, and sensors used for automated inspection and quality control. Their technology identifies defects, guides assembly robots, and tracks parts, generating critical real-time quality data for manufacturers.
Offers smart manufacturing solutions, including the Plex Smart Manufacturing Platform, which provides a cloud-based MES and QMS to manage and track quality metrics, non-conformance, and statistical process control (SPC) across the entire production lifecycle.
Provides a cloud-native Quality Intelligence platform, Enact, which focuses on real-time Statistical Process Control (SPC). The software allows manufacturers to collect and analyze data to monitor process stability and product quality metrics, enabling proactive adjustments.
Develops AI-powered visual inspection platforms for manufacturing. Their solutions use deep learning to automate the detection of product defects, often surpassing traditional machine vision capabilities and providing more nuanced quality metrics.
Offers a frontline operations platform that allows manufacturers to create applications for shop floor workers without code. These apps guide operators and collect real-time data on production, including quality checks, defects, and process adherence, feeding live quality dashboards.
A leading provider of sensors, measuring systems, laser markers, and machine vision systems for industrial automation. Their products are fundamental in automated quality inspection, providing precise measurements and data for statistical quality control.
Develops the ThingWorx Industrial IoT platform, which enables manufacturers to connect to assets, collect operational data, and build applications. It is used to monitor production processes in real-time, predict failures, and track quality metrics to improve overall equipment effectiveness and product quality.