TW Solar's Outsourcing Project for Infrastructure Successfully Selected for the 2024 ITSS Typical Application Case Library
2025-04-12

Recently, TW Solar's case, "Intelligent Manufacturing Infrastructure Operation and Maintenance Outsourcing Practice Based on ITSS Standards", successfully stood out from the national application projects and became a benchmark case in the PV manufacturing field, being the only one selected for the 2024 ITSS Typical Application Case Library after multiple rounds of review by the Technology Industry of the China Electronics Standardization Association.

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Certificate of Award


This selection highlights TW Solar's outstanding achievements in effectively applying ITSS standards to the field of intelligent manufacturing. TW Solar has been committed to promoting the development of intelligent manufacturing with the help of information technology. By introducing mature management experience and methodologies, a unified standard system has been established in accordance with national standards. At the same time, based on the ITSS standard's basic operation and maintenance outsourcing practice, the company has successfully transformed the operation and maintenance service model from traditional to standardized and efficient, significantly enhancing business continuity and the quality of operation and maintenance services. With the help of quantitative management of key indicators and digital execution of processes, the ITSS standard has won the company higher stability and flexibility in a complex and ever-changing production and manufacturing environment, laying a solid foundation for the company's intelligent manufacturing strategy.


In the future, TW Solar will continue to take the ITSS standard as the guide, deepen the integration of information technology and manufacturing, explore more innovative practice paths, continuously optimize the infrastructure operation and maintenance service system, promote the operation and maintenance capabilities from stable to excellent, and comprehensively improve production efficiency and intelligent level.