The APS Planning and Scheduling System dismantles traditional information silos within factories, establishing a data platform for smart manufacturing. It integrates technological, operational, and application frameworks to achieve seamless data integration and sharing.

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.

Even though equipment undergoes regular maintenance, why is the failure rate still persistently high? In many cases, companies do not conduct thorough analysis after equipment fault repairs.

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.

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.