Broadly speaking, all planning-related scenarios fall within the scope of APS system applications.

Alps System Integration (Dalian) Co., Ltd., leveraging over 30 years of experience in manufacturing services, has launched a standardized product for APS (Advanced Planning and Scheduling) systems. By utilizing a SaaS platform, it delivers modular and component-based services, reducing the cost of customized development for enterprises.

The intelligent maintenance system of Alps System Integration (Dalian) Co., Ltd. (referred to as "ALSI") incorporates a dedicated performance management module, enabling managers to conduct multi-dimensional quantitative assessments based on system data.

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

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.

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.

Fairness, justice, and transparency should be embedded in the performance evaluation of the equipment maintenance management system in a smart factory.

Prior to designing the smart factory equipment management system, it is essential to clarify the objectives of equipment management operations.

While the construction of smart factories can significantly reduce labor costs, their orderly operation still necessitates human intervention. To fully leverage the value of smart factories, it is essential to enhance the professional expertise of production management personnel.