The "China Smart Factory Construction Industry Competition Pattern and Development Trend Forecast Report 2022-2026" by Zhongyan Industry Research Institute points out that by the end of 2022, it is estimated that 21% of factories will have transformed into smart factories, smart factories are the general trend of manufacturing factory development, and an optimized path to achieve factory transformation and upgrading. Currently, the first challenge encountered in the transformation and upgrading of smart factories is equipment maintenance: traditional maintenance processes are cumbersome, maintenance response speed is slow, efficiency is low, the maintenance process is not transparent, and after reporting a fault, the repair progress cannot be queried, etc. How to solve this? This article provides a reference-worthy answer.

Smart factories require agile responses to market changes. Factory equipment runs year-round in relatively harsh working environments, making hidden dangers and faults inevitable. As the factory develops and order volumes increase, relying solely on manual labor to ensure timely service is very difficult. The ALSI Smart Maintenance System is an equipment maintenance system developed by Alps System Integration (Dalian) Co., Ltd. (abbreviated as "ALSI") that integrates intelligent dispatching, intelligent algorithms, intelligent analysis, and intelligent management. This system can combine production with equipment maintenance, utilize big data analysis and applications to achieve data sharing, horizontally and vertically open information interfaces between various process steps, complete automatic dispatching, and automatically assign tasks, thereby improving factory office efficiency, helping factories achieve paperless office, collaborative office, and other modes, making factory management more convenient, simple, and efficient. For example: electronic component manufacturers have high frequency and strict requirements for detecting vibration, noise, and temperature during equipment maintenance. The current situation of serious waste of personnel and high maintenance costs during the maintenance process leaves managers frustrated. Equipment faults or sub-healthy operation lead to a decrease in yield rate and waste of energy consumption. These problems pose various dilemmas for building smart factories. The ALSI Smart Maintenance System decomposes production orders into goals for each department, making the goals detailed, specific, and quantitative, even broken down to each machine, each person, and each day. It checks the readiness of "people, machines, materials, methods, and environment". Through planned periodic proactive maintenance activities, it effectively controls various factors affecting equipment life, improves equipment operation stability, reduces the probability of equipment failure and functional degradation, decreases equipment failure rate, and extends equipment life. This system uses the unique ALSI intelligent algorithm, data modeling, and data response at the millisecond level, with 99.9999% data accuracy to find the right maintenance personnel. The iterative functions of "fast, accurate, and powerful" enable smart factories to have higher responsiveness, more foresight and predictability, helping factories avoid production shutdowns and other production difficulties.

The true power of smart factories lies in their ability to quickly respond and grow according to constantly changing market demands. Alps System Integration (Dalian) Co., Ltd., a Japanese enterprise, inherits the cultural gene of craftsmanship spirit. Through the ALSI Smart Maintenance System, it reduces maintenance operation errors, plugs equipment fault loopholes, provides reference for maintenance performance assessment, enables smart factories to focus on the big picture while starting from small details to make controllable adjustments to production processes, and quickly promote and expand operations, gradually achieving the vision of building smart factories.