Data Collection Frequency for Quality Control

SUMMARY

Data collection is a cornerstone of effective quality control, but how do you decide what data to collect, how often, and why?

In this lesson, we’ll identify various data collection goals, such as monitoring product consistency, detecting anomalies, and ensuring process stability. You’ll learn how to match each goal with an appropriate data collection interval, ensuring that you gather the right data at the right time for optimal decision-making.

We’ll also discuss the critical impact of data collection frequency on quality control outcomes, highlighting how the timing of data capture affects the ability to detect defects, predict issues, and maintain high-quality standards. By the end of this lesson, you’ll be able to strategically plan data collection intervals to improve the reliability and efficiency of your quality control processes in manufacturing.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using Internet of Things (IoT) and Machine Learning (ML) techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.