Statistical Process Control in Automated Testing
Learn how statistical process control (SPC) methods applied to automated testing data enable real-time process monitoring, early defect detection, and continuous improvement in manufacturing.
Expert perspectives on manufacturing automation, robotics, and industry trends
Learn how statistical process control (SPC) methods applied to automated testing data enable real-time process monitoring, early defect detection, and continuous improvement in manufacturing.
Design automated functional test systems for PCBAs and electronic assemblies. Fixture design, test sequencing, instrumentation, and data-driven QA.
Learn how force and torque measurement systems verify assembly quality in real time, reduce scrap, and ensure product integrity across high-volume manufacturing lines.
How acoustic testing detects defects in motors, bearings, gears, and mechanical assemblies by analyzing sound signatures — methods, equipment, and integration into automated production lines.
Technical guide to industrial X-ray and CT inspection for detecting hidden defects in solder joints, castings, welds, and assembled products in automated manufacturing.
A practical guide to automated surface finish measurement and inspection methods, covering profilometry, vision systems, and integration strategies for manufacturing quality control.
When to use visual, ultrasonic, or radiographic weld inspection. Capabilities, limitations, and cost comparison for each NDT method in production.
A practical guide to designing automated test equipment (ATE) systems for manufacturing, covering architecture decisions, fixture design, instrumentation, data management, and scaling strategies.
How manufacturers collect, store, and analyze test data from automated systems to drive quality improvements, ensure traceability, and reduce scrap rates across production lines.
Learn how to build a calibration management program for automated test equipment that maintains measurement accuracy, meets regulatory requirements, and reduces unplanned downtime.
The fourth industrial revolution transforms manufacturing through connectivity, data, and intelligent systems. Understanding these technologies helps.
How digital twin technology creates virtual replicas of physical manufacturing systems for simulation, predictive maintenance, and process optimization on the factory floor.