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
Five core works and steps of a generative AI service to help enterprises develop applications
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"
AAT launches popular training courses that are highly praised
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
Integrate data, provide AI analysis and visualization, improve decision-making efficiency, and ensure security
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
Powerful statistical analysis tools support data visualization and modeling, simplify complex data processing and decision-making
No coding required, combining open source and enterprise tools to provide intuitive data analysis, AI modeling, and cross-team collaboration solutions
Free open-source visual workflow, no coding required, supports data integration, machine learning, and AI analysis
Enterprise-level platform, supports collaboration, automation, and governance, strengthens data science deployment, and team sharing
Integrate IBM SPSS Statistics, provide data analysis and visual reports, support automated BI and decision-making
Based on IBM SPSS Modeler, supports enterprise-level data mining, integrates AI and predictive analysis
Intelligent survey platform, supports multi-technology questionnaire design and data analysis, generates dynamic reports
Integrate AI and BI, no coding required, provide real-time insights, automated workflows, and cross-cloud deployment, help enterprise decision-making
Self-service BI supports big data analysis, visual operations, and rapid insights, suitable for all employees
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
manufacturing production scheduling as the core. This platform combines the dynamic balance scheduling calculations of ten methodologies to provide the most suitable short-, medium-, and long-term production scheduling planning solutions for the manufacturing industry, addressing small and diverse work orders, complex operational processes, multi-level material lists of finished and semi-finished products, and numerous production restrictions.
Rapidly calibrate the production schedule to respond to changes, such as temporary increases or decreases in demand, equipment failures, the arrival of raw materials, or process changes.
Provide data tracking and query functions for order requirements, manufacturing orders, work-in-progress, and inventory to enhance information control and response capabilities.
Understand the current situation, plan future production and sales, and perform intelligent scheduling optimization that encompasses demand, inventory, production capacity, transportation, machines, materials, and workforce.
The system architecture is flexible and can respond to expansion needs such as business, factory, outsourcing/supplier management, and can extend AI intelligent analysis applications to achieve data closed loop.
Detailed functional hierarchical permission control enables users in the supply chain, production management, on-site execution, business, and other fields to synchronize information and get what they need.
Multiple data integration, Web Services, and API are compatible with various ERP, MES, and custom data formats.
Although different industries have different manufacturing models, flexible automated scheduling has become the core of the supply chain in the face of challenges such as geopolitics, exchange rate fluctuations, equipment abnormalities, order changes and shortages. The introduction of APS can quickly adapt, optimize resources, reduce costs, and improve production capacity, accuracy rate and risk management to create a highly efficient and resilient intelligent supply chain.
The engine is powerful and comprehensive, capable of meeting the needs of various processes and restrictions. Automatically select special algorithms. For example, combined production, overlapping production, rework splitting, limited start and completion times, minimum line change loss, ZN scheduling rules, and automatic calculation of alternative materials, among others.
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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