AI assists in formulating the most effective production and material planning to respond to rapid market and production line changes
Through the intelligent dispatch scheduling system, the manufacturing industry can quickly respond to market changes, improve efficiency, deliver on time, and move towards the transformation of smart factories
Combining automation and feedback systems to master the real-time operation and intelligent management of factories
Integrate warehouse management, inbound and outbound operations, and barcode automation to optimize inventory shipment costs and efficiency
Accurately monitor process variation, protect yield stability, and manufacturing quality
Complies with international regulations to ensure product safety, quality stability, record integrity, and quality defect tracking report processing requirements
Deconstruct the data value chain and trace the manufacturing process and data source
Master the key data of manufacturing execution, quickly query and visualize analysis in one go
The Intelligent Data Platform empowers AI and GenAI to accelerate transformation and drive innovative decision-making applications
The data convergence middle platform integrates enterprise data assets to improve operational efficiency and cross-domain insight capabilities
Empowering Enterprises from AI Strategy to Full Deployment – Mastering the Rhythm of Digital Transformation
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From data integration and conversion to visual output, help enterprises get rid of complicated manual operations and realize digital reports and intelligent decision-making processes
Forecast future demand trends for products or services, helping businesses plan ahead and reduce risks
Help you improve business performance and solve the core propositions of "efficiency" and "return"
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AAT and the Republic of China Computer Education Development Association jointly promote the "Business Data Analyst" certification
Advant Analytics Tactics Ltd. (AAT) and the Republic of China Computer Education Development Association jointly promote the "Business Data Mining Science Analyst" certification
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Generative AI data platform supports multiple models, efficient data management, and governance
Visual data mining, no programming required, supports predictive modeling and text analysis, and simplifies complex data processing
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Excel-like design, fast creation of complex reports, support for visualization, and mobile terminal viewing
ETL and API integration, fast access to heterogeneous data, and solving data island problems
iPASP RT-APS (Real-Time Adaptive Production Scheduling) is an efficient real-time dispatch scheduling system that uses a powerful scheduling engine to consider multiple production scenarios and quickly develop the best scheduling plan. It can update production status and modify schedules in real-time to ensure maximum production efficiency every time. Through intelligent and orderly data exchange, RT-APS can effectively receive and manage production-related information, enhance capacity utilization, and respond promptly to any changes.
Manuals cannot adjust the schedule in real time to cope with the production work orders and production line issues that change constantly during the week
Customers often change the order content, such as delivery date, quantity, certified machine, and production process, etc., and manual adjustments cannot be made quickly, resulting in production chaos and increased risk of errors, which in turn delays delivery
Production managers can only plan the product models produced by the machine, and then the manufacturing site determines the production order of the work orders based on experience
Emergency orders are inserted to change the schedule, and manual adjustments cannot be made quickly to assess their impact on overall production. Impact of the plan
In the event of emergencies (stoppage, rework), coordination of personnel is slow, and work order production cannot be scheduled immediately
Unable to prepare the required resources in advance, work orders and equipment scheduling cannot be coordinated, resulting in idle production equipment and unnecessary line changes
The preliminary preparation of work order continuation and batch(Trays and Tape-Reels) operation is cumbersome, and it is necessary to consider the customer's product model, certified machine, batch requirements, and production status. The preparation process is time-consuming and prone to generating a large number of remaining batches
Manual scheduling is simple, and cannot accurately estimate the delivery time, resulting in poor customer satisfaction
Allocate orders to appropriate machines according to demand priority, and adjust at any time to save costs and improve efficiency.
Machines can adjust the scheduling order according to the characteristics of the work order to meet the needs of different orders
Pre-schedule the work orders that meet the constant process to the same machine to reduce unnecessary allocation of work
Seamlessly integrate ERP and MES systems, accurately receive, and prevent data loss
The system updates the workstation scheduling dashboard every 5 minutes to maintain consistency in production management planning and on-site manufacturing operations
The dashboard can be hierarchically grouped according to various conditions and provide different sorting methods. Users can freely adjust on-site personnel to perform operations according to the dashboard information, thereby improving process efficiency
For the packaging and testing industry, the test process can be produced independently or scheduled in conjunction with the sampling process
Provide flexible management of batch( Trays and Tape-Rells )operations, featuring multiple built-in batch processing logics
Traditional production management relies on manual planning and judgment. It cannot respond to rapidly changing production needs in real-time, resulting in scheduling confusion, idle equipment, urgent orders, inaccurate delivery dates, and other problems, which in turn affect the competitiveness of enterprises. The introduction of a real-time scheduling system can completely overcome these limitations, providing a real-time, accurate, and flexible production management mode that ensures maximum production capacity and improves delivery accuracy and customer satisfaction.
In the face of challenges such as geopolitical fluctuations, sudden equipment failures, order changes and material shortages, all industries need to respond flexibly to maintain supply chain stability. Through dynamic scheduling technology, RT-APS realizes real-time decision-making and resource optimization, significantly reduces operating costs, improves production efficiency and delivery time, strengthens risk response capabilities, and helps enterprises build agile and strong intelligent supply chains.
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Help you improve business performance and solve the core propositions of “efficiency” and “return”
AAT and the Republic of China Computer Education Development Association jointly promote the “Business Data Analyst” certification
Advant Analytics Tactics Ltd. (AAT) and the Republic of China Computer Education Development Association jointly promote the “Business Data Mining Science Analyst” certification
