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Leveraging IoT and big data, Goldpac can provide a digital information service platform for production facilities to implement comprehensive production data links such as real-time monitoring, control, statistics, and analysis of the production process. It provides visual data monitoring solutions, and also displays data information in real time through workshop Kanban tools to optimize production capacity. It effectively advances the production, improves product quality, reduces production costs and improves marketing efficiency.
In today’s competitive marketplace, manufacturing companies have realized that they are facing tremendous pressure on time, cost, and quality. Most enterprises have not yet achieved effective computer-aided management mechanisms. The “digital factory” will be an effective means for enterprises to meet the challenges of the 21st century.
Goldpac uses IoT and big data to provide a digital information service platform for production factories. By integrating into a unified data platform, Goldpac realizes real-time monitoring, control, computation, and analysis of all details of each production stage in the production process. It provides visible data monitoring solutions, while displaying data information in real time through workshop panels to optimize production capacity. The goal is to achieve the effective advancement in production for enterprises, improving product quality, and reducing production cost.
Combine manufacturing equipment with sensors and industrial IoT software to enable the monitoring of environmental data while collecting equipment operation data.
Implement the remote monitoring of all production equipment, provide master monitoring of equipment operating status, early identification of equipment failure, reduce potential losses caused by equipment failure, and improve productivity.
With everything at a glance and clearly visible, management of the factory production process becomes intuitive. Get first-hand information on production progress or potential problems and be in a position to better anticipate or react to situations.
Data is collected across multiple production and operation points. Using big data analysis to study performance provides managers with a view of the entire production and operation using an intuitive visual display of data. This further enhances the agile control of the overall business.
• Production workshop data collection
• Order production statuses
• Production efficiency
• Production quality
• Production Planning
• Real-time monitoring of production status
• Real-time monitoring of equipment conditions
• Monitoring environment (data) collection
• Equipment operation data collection
• Equipment failure warning
• Production planning progress
• Production efficiency
• Production quality
Unified management of production data, more visible display of production operations and better antifipation of problems during production.
Collecting equipment operation data, maximizing equipment operational efficiency, monitoring of failure alarms, immediate resolution of faults to ensure production operation.
Dashboards display real-time feedback on the production progress, providing a dynamic understanding of production situation to better inform operational decisions.
Provides production data analysis to let management teams gain better insight into operations, to quickly optimize production, improve efficiencies and create greater value.
Analyze and display data that reflects production conditions, such as order delivery, capacity analysis, quality management, equipment performance, inventory data, etc.
Vertical data analysis through time dimension and horizontal comparison of the above important indicators to discover more influencing factors as a basis for improving and increasing productivity.