Intelligent manufacturing solutions for air-conditioning electric compressors

Overview

Intelligent manufacturing solutions for air-conditioning electric compressors

The main task of the compressor workshop is to complete the production tasks according to the order requirements, and to ensure the product quality requirements, and strive to achieve continuous and balanced production with the least investment. Therefore, this project closely focuses on the goal of “serving the factory and serving the production”, and improves the competitiveness of manufacturing by controlling all factory resources including production schedule, product quality, material distribution and equipment management. Systematically integrate functions such as quality control, resource management, and production scheduling on a unified platform to achieve digital management requirements for manufacturing.

Since the electric compressor industry is still in its infancy, there are some general industry requirements for compressor production management, such as small batch and multi-variety flexible production efficiency control; such as fool-proof and error-proof control for each process of the production line; Such as the collection of various equipment parameters. There are also some non-universal ones. For example, the system automatically issues process parameter standards and optimization of process parameters for different types of compressors, refined to the production line process granularity, and dynamic inventory and material pulling of the line side warehouse, aiming at the balance rate of the assembly line , Equipment efficiency and other indicators.

The implementation of this program has the following important significance to the enterprise.
  • Real-time grasp of the production dynamics of the workshop, and improve the response speed of handling production incidents. Production dispatchers understand the details of the production process in time, grasp the production dynamics in real time, deal with related issues in time, and improve the efficiency of production management;
  • Realize production process quality control and multi-dimensional quality analysis afterwards to improve product quality;
  • Carry out comprehensive information integration with related systems, eliminate information islands, promote the effective flow of production information, and effectively solve data interaction problems with ERP systems and production automation systems;
  • Real-time management and analysis of production, improve production flexibility, planning accuracy, reduce downtime, increase production capacity, and optimize production performance.