A smart factory is not a "one-step solution", but a systematic project that progresses gradually

When building intelligent factories, many tire manufacturers fall into a common trap: attempting to achieve full automation and intelligence through large-scale system deployment in a single step. In practice, this leapfrog approach often leads to overly complex systems, poor user adoption, and unreliable data—ultimately preventing systems from being effectively used.

Intelligent manufacturing is fundamentally a system engineering project that must be implemented step by step. The first phase should focus on standardizing business processes and clearly defining responsibilities across production, quality, equipment, and logistics. The second phase emphasizes reliable data collection and digitalized operations. Only after data and processes become stable does it make sense to introduce advanced analytics, prediction, and optimization.

In tire manufacturing, with its complex processes and diverse equipment types, system stability and usability are critical. Without accurate and consistent data, intelligent applications may amplify operational risks rather than reduce them. Therefore, “build the foundation first, then pursue intelligence” is a more practical approach.

Across multiple tire manufacturing projects, ZQSOFT follows a phased implementation strategy tailored to each client’s maturity level. This approach helps manufacturers control risks while continuously improving efficiency and management capabilities, ensuring intelligent factory initiatives deliver long-term value.