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🔍 What is RCA (Root Cause Analysis) applied to failure triage?

Root Cause Analysis (RCA) is a structured methodology used to identify the true origin of problems, rather than just addressing their symptoms.In the context of failure screening in production and test engineering, RCA is an essential tool to reduce rework, waste, and prevent defect recurrence. 🛠️ How does RCA work

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🏭 What is IATF 16949 and its importance for testing and production?

The IATF 16949 is one of the most important quality standards for the global automotive industry. Published by the International Automotive Task Force (IATF), it integrates the requirements of ISO 9001 with specific demands of the automotive sector, focusing on continuous improvement, defect prevention, and reduction of variations and waste.

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🛠️ How to document and categorize recurring failures?

In industrial production and test engineering environments, the documentation and categorization of recurring failures is essential for: Improving process efficiency Increasing product reliability Reducing rework and waste Supporting sustainable corrective and preventive actions Knowing how to correctly classify failures allows attacking the root of problems and building a virtuous cycle

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📈 What is test result stability analysis?

The analysis of test result stability is an essential methodology to ensure that a test system continues to deliver reliable, repetitive, and consistent measurements over time. This practice is fundamental to maintaining the reliability of the production process and avoiding false failure diagnoses. 🧪 Why is result stability so important?

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What is ISO 9001 and its impact on testing processes?

ISO 9001 is an international standard that sets criteria for a Quality Management System (QMS). Applicable to any type of organization, its focus is to ensure that processes are well-defined, controlled, and oriented towards continuous improvement and customer satisfaction. In the context of test engineering, production control, and test benches,

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🛡️ What is ISO 45001? Occupational health and safety in technical operations

ISO 45001 is an international standard that defines the requirements for an Occupational Health and Safety Management System (OHSMS). Its main objective is to protect employees and prevent occupational accidents and illnesses in work environments — including production lines, test benches, and laboratories. For companies involved in electrical testing, manual

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📐 Compliance in Test Engineering: How the principles of ISO 17000 and ISO 17025 ensure reliability and traceability

In test engineering, especially in industrial and laboratory environments, ensuring that the results obtained are reliable, traceable, and technically valid is essential. It is in this context that the principles of the ISO/IEC 17000 series and, more directly, the ISO/IEC 17025 standard, an international reference for testing and calibration laboratories,

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Ergonomics and NR-17 applied to test jigs: safety, comfort, and productivity

The ergonomics applied to test engineering is essential to ensure not only the safety and health of operators but also the efficiency and reliability of the production process. In Brazil, the Regulatory Standard NR-17, issued by the Ministry of Labor and Employment, defines the guidelines for adapting working conditions to

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❌ Rejecting good products: the hidden cost of false positives in industrial testing

In production lines, rejecting a product that is technically good represents one of the most dangerous and underestimated wastes: the false positive. This type of error does not directly compromise the quality perceived by the customer, but seriously affects the efficiency, productivity, cost, and confidence in the tests. The incorrect

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📏 What is Test Tolerance and how to set limits without compromising reliability?

In production testing, validation, and quality control, correctly defining the tolerance limits is one of the most critical factors to ensure reliability, repeatability, and yield (FPY). The test tolerance represents the acceptable margin of variation between the measured value and the expected nominal value, taking into account natural imperfections of