Cost of Poor Quality (COPQ): How to Calculate It and Bring It Down

Cost of poor quality (COPQ) measures the financial losses caused by defects, encompassing internal failures such as scrap, rework, re-inspection, and quality-related downtime, as well as external failures including warranty claims, returns, recalls, replacement costs, and lost customers. Unlike prevention and appraisal costs, COPQ focuses on failure costs and can be calculated from records in ERP systems, stoppage logs, and finance or claims data; an example $80 million manufacturing plant recorded $4.24 million in annual failure costs, plus $420,000 in manual inspection labor. The article argues that defects become substantially more expensive the later they are found, following the approximate 1-10-100 rule from station-level detection to end-of-line detection to customer discovery. It presents camera-based computer vision as a means to shift from sample-based to continuous inspection, catch defects earlier, reduce customer escapes, and redirect inspectors toward disposition and root-cause work. Roboflow promotes its image-trained, deployable computer vision platform and active-learning capabilities as tools for implementing such systems, while recommending that quality leaders use a conservative, finance-supported COPQ estimate and begin with a limited pilot focused on one production line and defect class.

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