In July 2022, the Zhongguancun Digital Economy Industry Alliance and the Yuanyuan Research Institute jointly released the "White Paper on Digital Transformation of Chinese Enterprises" (hereinafter referred to as the "White Paper"). Based on field research and interviews with hundreds of manufacturing enterprises on the construction of smart factories, the White Paper provides enterprises with actionable methodologies for digital transformation and action guidelines for smart factories. The White Paper frequently mentions data. As a key strategic asset for smart factories, data has received increasing attention from enterprises.

In fact, data has always played an important role in the digital transformation of enterprises. Data can coordinate business across departments, drive business development and operations, and even drive the intelligent application scenarios of the entire factory. The White Paper mentions that data-driven approaches should enable smart factories to generate contextualized and concrete cognition, thereby further promoting enterprise decision-making and improvement. The first requirement of being data-driven is data collection. The intelligent data collector TS-10, developed by Alps System Integration (Dalian) Co., Ltd. (hereinafter referred to as "ALSI"), can meet the data collection needs of manufacturing enterprises. The collector's form factor is compatible with almost all three-color lights, with accuracy at the millisecond level and a near-100% accuracy rate. It requires no equipment modification and can collect equipment data easily and at low cost.

The second and third requirements of being data-driven are early warning and recommendations. The intelligent manufacturing solutions developed by ALSI perfectly align with the data-driven advancement roadmap of smart factories. As a lean expert with over 30 years of experience on the manufacturing floor, ALSI has a deeper understanding of the Industrial Internet and the manufacturing site. After thousands of billions of data analysis tests and practices, ALSI's intelligent algorithms can quickly and accurately perform correlation analysis on various types of manufacturing site data through data visualization and data prediction applications. They can summarize regularities in areas such as equipment OEE and TPM site management, and provide actionable recommendations, offering effective data support for the management decisions and production execution of smart factories.

The White Paper establishes an action framework for enterprise data-driven operations, proposing an action roadmap for manufacturing enterprises from the perspective of advancing digital transformation. To promote the construction of smart factories, enterprises should have a closed-loop data value system covering data collection, organization, and value creation. Based on over 30 years of practical experience on the manufacturing floor, ALSI consistently adheres to the lean philosophy, continuously deepens its technological expertise, and integrates lean technologies into its products. Addressing the pain points of current smart factories, ALSI helps enterprises unlock their data value system, providing intelligent systems and professional services that exceed customer expectations, and jointly building smart factories with manufacturing enterprises.