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
Supply Chain Loop Management Operations
Ensure that products meet customer needs and international quality standards (ISO specifications) at all levels by maintaining the timeliness and accuracy of the information system throughout the manufacturing process. This system utilizes inspection QC techniques in the product production process, employing systematic inspection processes and methods to identify product problems and defects. It also completes quality problem analysis, develops solutions, and implements improvements to control non-conforming products, ultimately achieving the goal of balancing quality and reducing customer complaints.
Manual records are prone to human input errors and text misjudgment.
Manual judgment of sampling standards is prone to errors in acceptance judgment.
Paper records are challenging to preserve Retrospective query is not easy
Lack of a real-time cause analysis mechanism, Relying on post-production analysis is relatively difficult
Too many devices and a large amount of data, Report integration takes time
Cannot generate solutions and generate ISO files immediately
Tablets, mobile phones, or PCs use a client-server system across multiple devices.
Supervisor and operational roles, Easy to set up, with an audit mechanism
Can be integrated with existing ERP / MES Data format connection
Can apply the international standard AQL inspection sampling acceptance standard, It can also be customized, allowing you to set the tightening or relaxation.
The system can automatically determine the NG error value & Real-time display
Can be customized to generate fixed, ISO-compliant file table style
Can generate various quality charts
Problem analysis, automatic generation of 8D reports
RMA, outsourcing exceptional procurement management, ECN/ECR processing
Establish products that meet industry standards and regulatory requirements, better meet international standards, and receive more orders.
Improve the company’s product quality, enhance brand image and customer stickiness, and provide customers with safe and secure quality services.
Streamline the company’s internal SOP, standardize processes, and monitor them in real-time, continuously improving production quality processes. Quality is manufactured. Only by improving the quality system can we provide feedback to the manufacturing R&D units as a basis for improvement
Establish problem analysis and exception handling processes, provide follow-up employee education and training, and improve product manufacturing skills and services.
QMS data can be analyzed, and customer complaint management provides clear decisions for each unit on the direction of quality control
QMS establishes a quality and responsibility culture, and further enhances employees’ sense of responsibility and belonging through the transparency of quality data
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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
