// ROBOTICS AND SMART FACTORIES TERM

Sampling

Sampling is the process of selecting a representative portion of a larger group of products or materials for inspection or testing. It's done to assess the quality of the entire batch without having to check every single item.

TECHNICAL DEFINITION

Sampling, in Industry 5.0 quality assurance, is the statistical process of selecting a representative subset of items from a production lot or population for inspection and testing, enabling inference about the entire lot's quality characteristics with a defined level of confidence.

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.

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SYNONYMS & ALIASES

  • Statistical Sampling
  • Lot Sampling
  • Inspection by Sample
  • Quality Sampling

USAGE NOTE

Proper sampling techniques are critical to avoid biased results and ensure reliable quality decisions.

DEVELOPERS

Organizations developing technology related to Sampling.

  • Hexagon Manufacturing Intelligence

    Develops a comprehensive suite of hardware and software for industrial metrology, including coordinate measuring machines (CMMs) and the Q-DAS software platform for Statistical Process Control (SPC), which are used for sampling and analyzing parts to ensure manufacturing quality.

  • InfinityQS

    Provides a cloud-based Statistical Process Control (SPC) software platform, Enact, designed to help manufacturers monitor processes in real-time by analyzing sample data to reduce scrap, improve quality, and ensure compliance.

  • ZEISS Industrial Quality Solutions

    A leading manufacturer of multidimensional metrology solutions such as coordinate measuring machines, optical and multi-sensor systems which are critical for taking precise measurements from product samples to verify they meet design specifications.

  • Cognex Corporation

    Specializes in machine vision systems, software, and sensors used for automated inspection and quality control. Their technology enables high-speed sampling or 100% inspection of products on the production line to detect defects and verify assembly.

  • Keyence

    Manufactures a wide range of sensors, vision systems, and high-precision measurement instruments that are deployed on factory floors to automate the sampling and inspection of parts for dimensional accuracy and surface defects.

  • Universal Robots

    Manufactures collaborative robots (cobots) that automate the physical process of sampling. Their cobots are frequently deployed to pick parts from a production line and place them into inspection machines for quality analysis, ensuring consistent and tireless sampling.

  • Tulip Interfaces

    Offers a frontline operations platform that allows manufacturers to build custom applications for shop floor workers. These apps can guide operators through quality check procedures, standardizing data collection from physical samples and integrating with tools and sensors.

  • Sight Machine

    Provides a manufacturing analytics platform that uses AI to analyze streams of data sampled from plant floor machinery and sensors. It digitizes, contextualizes, and analyzes this data to help manufacturers improve quality and productivity by understanding process variations.

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