Quality Assurance & Control Software

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Quality assurance and control software manages inspection results, statistical process control, and compliance documentation across production. The suppliers below provide quality management software that helps manufacturers track, analyse, and report on product and process quality across European industry.

What Quality Assurance & Control Software suppliers provide

Suppliers in this category provide software for managing quality data across the production process. Core functions include recording and analysing inspection and measurement results, statistical process control (SPC) to track process capability over time, non-conformance and corrective action management, and document control for quality procedures and certificates. Many systems integrate with measurement equipment or coordinate measuring machines to import data automatically, and some connect directly to MES or ERP systems to link quality data with production orders. Their core competence lies in structuring quality data so trends and deviations are visible before they become defects or compliance failures. In the pre-selection phase, compare which quality standards and reporting formats a supplier’s software supports.

Relevant standards

Quality assurance software is generally built to support compliance with ISO 9001 quality management requirements, and many systems structure their workflows around it. Where the software connects to measurement equipment or shop-floor systems, OPC UA is a relevant interoperability standard, and IEC 62264 (ISA-95) describes how quality data fits into the broader production system hierarchy. Given the sensitivity of quality and compliance records, ISO/IEC 27001 for information security is also a relevant consideration.

Frequently asked questions

Does quality software replace measurement equipment?
No. It manages and analyses the data that measurement and inspection equipment generates, rather than performing the measurements itself.

What is statistical process control (SPC)?
SPC uses statistical methods to monitor a production process over time, helping identify when it drifts out of its normal operating range before defective parts are produced.