Big data technology not only enables efficient device management but also allows device data to precisely serve the daily equipment management of smart factories.

The purpose of TPM is to minimize unscheduled and emergency maintenance in smart factories to the greatest extent possible.

Shop floor management is the foundation of internal management in a smart factory. The quality of shop floor management directly influences both production efficiency and corporate image.

It is essential to conduct a follow-up analysis of the root causes of equipment failures, as this constitutes a critical task for enabling effective maintenance and repair operations within a smart factory.

The enterprise lacks a well-defined equipment maintenance and inspection plan, and the construction of the smart factory is deficient in preventive concepts and measures. Consequently, it fails to promptly identify faults at their initial stages and implement effective countermeasures.

Personnel moving back and forth can impact the efficiency of equipment maintenance. For instance, a requester who identifies a fault on-site must go to the control room to create a work order, and after diagnosing the issue on-site, the maintenance personnel need to return to the standby room to record the maintenance process.

If the equipment maintenance management plan is not updated, the quality of maintenance will deteriorate, the equipment's service life will be shortened, and its failure rate will rise.

Establishing an intelligent factory information network to achieve the integration of informatization and industrialization is not only a necessity for societal development but also essential for enterprises to adapt to market dynamics and foster their own sustainable growth.

Inspection Standard Management. Inspection standards, developed in alignment with equipment technical standards, serve to guide inspection activities in smart factories and establish standardized inspections.

Based on the actual conditions of the factory, equipment is classified into three categories according to the degree of its impact on production, safety, environment, and other aspects.