Facing the intense market competition, Jinneng Clean Energy Technology Ltd. (hereinafter referred to as “Jinergy”) has taken bold, self-critical measures to drive change. Through multiple innovations aimed at deepening lean production, the company has internalized quality control as a value engine for cost reduction and efficiency improvement, enhancing its industrial competitiveness through superior product quality.
Jinergy has upgraded its algorithm models, focusing on AOI intelligent recognition and EL dynamic tracking to break through the limitations of coarse-grid detection and accurately capture individual micro-level bright lines and line marks, reducing the false positive rate by 50% and achieving a precision leap of “invisible to the naked eye, no omission for the system”. The company has also pioneered an oblique defect frame recognition model, reducing the error rate of defect length and width measurement (such as broken grids, scratches) to below 1%, with parameter matching accuracy improved by 150%, providing golden-standard data for process improvement. By setting threshold samples for broken grids and scratches, and dynamically optimizing EL parameters, the company enables cross-level grade conversion, increasing the overall yield by 0.8%。
Jinergy focuses on full-lifecycle product traceability. By integrating MES database and implementing the WaferID cross-process traceability system, the company enables end-to-end root cause analysis of defects from silicon wafer to loading to testing, making process improvement highly targeted. The company pioneered EL defect classification (Category A- defect type), separating 15% of non-critical defects from the full inspection process, which increased defect classification efficiency by 70% and inspection efficiency by 35%. By reducing the number of B-to-A retests per shift, and incorporating “a 40% reduction in the retest breakage rate” into internal targets, the company has enhanced quality inspection efficiency through well-established standards.
Jinergy interprets precision through innovation and defines limits with data. Through the implementation of multiple initiatives, the company has achieved a 0.8% yield improvement and a 40% reduction in retest fragment rates, turning every standard into reliable cells in hands of customers.