// ROBOTICS AND SMART FACTORIES TERM
Reject
To reject a product or material means to deem it unacceptable because it does not meet specified quality standards or requirements. Rejected items are typically set aside for rework, scrap, or further investigation.
TECHNICAL DEFINITION
Reject, in Industry 5.0 quality control, signifies the determination that a product, component, or material fails to conform to specified quality criteria or engineering requirements, leading to its disposition for rework, scrap, or further non-conformance management.
BACKGROUND
In the early twenty-first century; foreign investment, government regulations and incentives promoted growth in the Indian electronics industry. The semiconductor industry, which is its most important and resource-intensive sector, profited from the rapid growth in domestic demand. Many industries, including telecommunications, information technology, automotive, engineering, medical electronics, electricity and solar photovoltaic, defense and aerospace, consumer electronics, and appliances, required semiconductors. However, as of 2015, progress was threatened by the talent gap in the Indian sector, since 65 to 70 percent of the market was dependent on imports.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Non-conforming
- Defective
- Failed
- Out of Spec
- Unacceptable
USAGE NOTE
Minimizing the number of rejected parts is a key goal in lean manufacturing.
DEVELOPERS
Organizations developing technology related to Reject.
A global leader in machine vision systems, software, and sensors used in automated manufacturing to inspect products, identify defects, and trigger the rejection of faulty items from production lines.
A company that develops and manufactures automation sensors, vision systems, and measurement instruments. Their technology is widely used for high-speed, automated inspection to detect defects and ensure parts meet strict quality standards, leading to the sorting and rejection of non-conforming products.
An AI company focused on empowering manufacturers through computer vision. Their platform, LandingLens, enables the rapid development and deployment of visual inspection systems to identify product defects, reducing false rejects and improving quality control.
Provides an AI-powered quality and inspection platform for manufacturers. Their systems use machine vision to inspect every part on a production line, catching defects and providing data to help reduce scrap and rework, directly managing the reject process.
Offers a comprehensive suite of software and automation solutions for manufacturing. Their Opcenter Quality software is a Quality Management System (QMS) that standardizes and centralizes control over quality, including the management of non-conformances and the entire reject and rework lifecycle.
A provider of sensing, software, and autonomous solutions. They specialize in metrology and quality control systems, such as Coordinate Measuring Machines (CMMs) and laser scanners, that perform high-precision measurements to verify if components are within tolerance or must be rejected.
A global company focused on industrial automation and digital transformation. Their solutions, including MES and QMS platforms like Plex and FactoryTalk Quality, help manufacturers manage quality events, track non-conforming products, and analyze reject data to improve production processes.
Develops a range of industrial automation solutions, including fixed industrial scanners and machine vision systems. This technology automates the inspection process, identifying flaws and enabling the automatic rejection of items that fail quality checks on fast-moving production lines.
Specializes in Autonomous Machine Vision for industrial quality inspection. Their systems are designed to be deployed easily by plant personnel to automate the detection of defects, leading to the identification and rejection of faulty parts without needing vision expertise.