The AIAG CQI-11 Plating System Assessment (PSA) 3rd Edition serves as a mandatory, annual standard for evaluating plating processes in the automotive supply chain. It emphasizes a "cradle-to-grave" audit approach, encompassing management responsibility, Process Failure Mode and Effects Analysis (PFMEA), and specific Process Tables to reduce defects. For more detailed information on the standard, visit cqi-support.de CQI-11 Plating System Assessment Guide | PDF - Scribd
The AIAG CQI-11 Plating System Assessment is a globally recognized standard developed by the Automotive Industry Action Group (AIAG) to evaluate and improve plating processes throughout the automotive supply chain. It serves as a specialized self-assessment tool, typically performed annually, to ensure manufacturers meet rigorous quality requirements for galvanic plating and protective coatings. Core Objectives aiag cqi-11 pdf
The latest version (3rd Edition, released in 2019) includes updated process tables and an optional "Form Builder" tool for a tailored assessment. The document is generally divided into four main sections: CQI-11 | Special Process: Plating System Assessment - AIAG The AIAG CQI-11 Plating System Assessment (PSA) 3rd
They began small. Kira and Miguel mapped the steps in the welding process onto the CQI‑11 checklist. They logged shielding gas bottle changes, measured preheat with a pocket thermocouple, and tracked travel speed against penetration depth. Each time a parameter deviated, they documented it—not as blame, but as data. The plant’s foreman, Nava, who’d been skeptical, noticed fewer reworks the next month and fewer late‑night fixes. It serves as a specialized self-assessment tool, typically
The CQI-11 assessment highlights specific technical risks that are common failure points in plating:
The first week she read it like a detective novel. It spoke of joint preparation, base metal cleanliness, welding parameters, qualification records, and root‑cause analysis. It talked about process capability and control plans and—most importantly—about learning from defects. For every arc that wandered, every porosity blister, there were instructions and methodologies to trace the root cause: contamination, travel speed, electrode angle, gas flow, power instability.