Project Objective
The project aims to build an enterprise production data platform through data collection, intelligent feedback management and remote operation and maintenance to realize digital, automated and intelligent management of the whole process. Its main objectives include:
1. Improve production efficiency and reduce costs
2. Realize online quality monitoring and management of the whole production process
3. Provide full information traceability of products from raw materials to back-end manufacturers.
4. Realize intelligent order scheduling and full-process management
5. Promote customized production mode and lead the industry to deep integration
Project Features
1. Data collection and visualization
Through the textile fabric processing APS scheduling software and automatic operation and maintenance equipment system, real-time collection and monitoring of cotton spinning workshop equipment production, order status, quality and energy consumption and environmental information, forming a comprehensive monitoring window, to ensure all-round visualization of the production process.
2. Intelligent scheduling and production prediction
Utilizing APS scheduling software for textile fabric processing, the whole process of statistical management of the progress of the order, recommending the optimal scheduling plan through the system calculations, realizing intelligent order scheduling and delivery prediction. Through the production forecast function, it can arrange personnel and production equipment, optimize production rhythm and improve production efficiency.
3. Optimized management of technology formula
With the help of textile fabric precision processing CNC software, according to the raw cotton and yarn index difference data, yarn quality prediction and process adjustment, generating on-board test spinning process, improving the success rate of test spinning and optimizing process management.
4. Quality control and early warning
Through the textile fabric processing dyeing and color matching control software and automatic operation and maintenance equipment system, the whole process of intelligent quality control and realize the quality problems of self-warning, analysis and traceability. Through the enterprise standard database and real-time quality data analysis, the system carries out intelligent fault diagnosis to ensure product quality.
5. Equipment full life cycle management
Utilizing the automation system of textile fabric processing and packing device to create a new equipment management and maintenance mode, realizing early warning of equipment status, maintenance effect assessment and full life cycle management to ensure the healthy operation of equipment.
Achievements
Productivity increase of 37.5%
Shorten product development cycle by 35%
Reduction of defective product rate by 33.3%
Comprehensive index of semi-finished products quality increased by 20.8%
Energy utilization rate increased by 8.8%
The labor cost is reduced by 30%, and the number of workers is reduced by 70%.
100% traceability of product quality and process