In smart factories, distinct data acquisition methodologies are implemented based on varying production conditions, material types, equipment categories, personnel allocations, and process specifications.

Only by improving the first-pass yield can enterprises eliminate concerns about supply shortages caused by low product qualification rates, thereby avoiding the need to maintain excessive inventory levels and ultimately achieving lean production.

Frequent breakdowns due to aging equipment, coupled with inadequate maintenance that has significantly shortened operational lifespans, are severely impeding the factory's progress in implementing lean production. How to address this challenge has emerged as a key concern among stakeholders.

Manufacturing is undoubtedly a symbol of a nation's strength. However, China's manufacturing sector, while large, lacks robust competitiveness. With the advancement of modernization, the industry is encountering significant challenges, as successive waves of manufacturing enterprises are being phased out by the market.

To successfully establish a smart factory, optimizing equipment performance remains the most fundamental requirement of production management. Only by fully leveraging equipment efficiency and ensuring its proper utilization can a smart factory be truly realized.

Prominent manufacturing firms in our country include the following: Sinopec Group, Huawei Investment & Holding Co., Ltd., SAIC Motor Corporation Limited, and China FAW Group Corporation, among others.

Lean production stands as a central concern for enterprises across the manufacturing sector. Achieving lean production requires a focused approach on three key dimensions: corporate culture, application systems, and application tools.

Building a high-quality smart factory hinges critically on the method of data acquisition. Beyond traditional approaches such as software interfaces and open databases, smart factories aiming to swiftly capture market share must integrate with intelligent systems.

The MES system, as a comprehensive intelligent platform integrating system management software with diverse hardware components, can substantially enhance production efficiency and plays a vital role in smart factories.

Smart factories represent one of the viable pathways for the transformation of traditional enterprises. To establish a smart factory, the first challenge to address is the difficulty of data acquisition. Factories face multiple obstacles in data collection, including the enormous volume of data and the complexity of extracting information from legacy systems.