Excellent Engineering Database Design

• A big data platform customized for the manufacturing industry allows production data to be fully integrated. Clients can get data from any part of the process in real time and accelerate communication and decision making of users across facilities and levels.
• All data, be it from MES, ERP, and EAP systems or machines is automatically uploaded to data files.The platform collects all data throughout the process (4M1E, Man, Machine, Material, Method, Environment) while automatically maintains the relations among data, allowing efficient relational analysis.

Customized Data Selection Engine

• AYEDAS System can summarize various search portals based on data attributes, including traceability data, measurement data, AOI test data, production machine data, etc. All the data are categorized and automatically integrated for users to have an easy start.
• Customary usages within clients’ facilities can be applied to the user interface so that users can enjoy seamless experience without confusion and misunderstanding minunderstadning on the names.
• Flexible data search interface allows users to get fully integrated and comprehensive data sets with just a clicks. Time will no longer be wasted on data collection and organization but more effort can be put in data analysis and problem solving.

Lead in EDA/YMS Data Platforms

• The amount of engineering data is massive, and if stored in traditional Rrelational Ddatabase, it is oftentimes inefficient and even inexecutable when analyzing data accumulated for a long time. And even though cold data may not be frequently accessed or analyzed, the maintenance cost is high. TYNE Data Platform solves the long-existing problem of inefficiency in data analysis and the management of outdated data, making software and hardware investment worth every penny!

Process Self-Health Checks and Deep Analysis

• AYEDAS System integrates data from all aspects (4M1E) to identify anomalies during the manufacturing process. The system also provides diagram analysis tools to satisfy analysis needs of all kinds.
• Able to check data distribution, identify critical points of anomalies, compare machine variations, and explore parameter correlation and commonality. All possible problems in the manufacturing process are closely monitored.
• Provide data processing modules for analysis computing, allowing you to organize data collected into a summary report or conduct complex and special data computing or pre-processing with ease.

Unique Diverse Diagrams with Statistical Indice

• In order to meet the needs of continuous engineering data analysis improvement, all graphics on AYEDAS System are developed by TYNE, so that diagrams can be changed flexibly according to user needs. Each diagram has dozens of adjustment options to produce a mode of presentation that best meets user needs.
• AYEDAS System provides basic statistical diagrams such as pie chart, histogram, bar chart, Pareto chart, box plot, trend chart, scatter chart, process capability chart, etc. In order to meet the needs of advanced analysis, AYEDAS System also provides advanced and useful statistical diagrams such as cumulative distribution function plots, density function plots, and normal probability plots.
• With rich experience of implementation experience and expertise in statistical technologies, TYNE has developed various combined statistical diagrams such as stacked bar charts, clustering histograms, and multi-parameter trend charts that are able to show information of different aspects in one chart. Other examples include three-in-one charts: multi-dimension analysis that combines temporal trends, distribution, and ANOVA results, providing correlational analysis that compares machine variations in depth; all-in-one charts: comparing process parameters of different data scales on the same x-axis.

Intuitive Design of Diagrams

• AYEDAS System flexibly clusters and plots charts based on data sources (measurement parameters, work stations, machines and equipment, etc.). Multiple charts of the same type can be exported for stratified analysis; anomalies of different levels can also be classified using colors so that users can have a quick overview of all the clustering charts.
• Diagrams are interactive; users can utilize functions such as mouseover or zoom-in to get, edit, or export all relevant information and statistics on the diagrams.
• Set and edit chart scales with ease; the diagrams can also be exported to formats such as slides or image files for presentation.
• If abnormal lots were found when going through the diagrams, users can store the lot list from AYEDAS System directly for further tracking and analysis.

Analysis of Variance

• Analysis of process variables is the most common issue in engineering data analysis. Stratification of the QC seven tools is integrated into diagrams in the comparison of different variations (machines, work stations, locations, time, materials, parameters, etc.) for critical points of variations to be clearly and intuitively presented.
• In order to determine the existence of variations in a more objective manner, AYEDAS System combines rigorous statistical test results on the statistical graphics so that users can see multiple analyses in one chart.
• AYEDAS System also provides ANOVA and multiple ANOVA analysis. With rigorous statistical test reports, variables of significance are identified.

Correlation Analysis

• TYNE provides uniquely-designed company database that integrates all data throughout the production process, making it easier to connect the dots. Users can identify root causes by looking into each step.
• Combine machine maintenance records with measurement data and process traceability records so that users can determine if anomalies are caused by maintenance mismanagement.
• Correlation coefficients are shown by matrices so that key parameters related to yield rates can be identified in a fast manner, speeding up the process of problem shooting and greatly reducing losses caused by anomalies.

Commonality Analysis

• Commonalities of manufacturing process factors regarding the traceability records of non-defective products and defective products are analyzed through unique TYNE comparison methodologies; users can identify the root causes of yield rates within seconds.
• Unique Timeline analysis clarifies if there is a timeline commonality between non-defective and defective products.

Multivariate Analysis

• AYEDAS System provides a variety of multivariate correlation analyses. Useful information can be extracted from high-dimensional and multivariate data for key factor identification.
• Multiple analysis methods are applied on the abnormal lot, and with high-dimensional and multivariate data, root causes are identified through blind search.
• TYNE continues to develop new methods to assist users with the latest method. With this, users can enjoy the value of data.

Wafer Maps of the Semiconductor Industry

• Measurement data such as BIN levels, Electrical Tests, Defect or Inline measurement can be plotted into wafer maps by piece so that the production results of each wafer can be checked individually.
• Data of several wafers or steps can be shown in stacked together into a composite wafer map for performance and concentration analysis for a whole batch or a whole segment of the process.
• Data of BIN and Defects levels can be stacked on the same map to observe their correlation.
• Images of defects can be marked on the corresponding position on a wafer map; defects images can also be shown with a click.

LCD Maps of the Flat Panel Display Industry

• Measurement data of AOI, tests, defect and inline measurement can be plotted into LCD maps by glass so that the production results of each glass can be checked individually.
• Even on the same glass substrate with panels of different sizes, but as long as there are corresponding relations, maps plots can be drafted in accordance with actual sizes.
• Data of several glass or steps can be shown in stacked together into a composite map for performance and concentration analysis for a whole batch or a whole segment of the process.
• Images of defects can be marked on the corresponding position on a LCD map; defects images can also be shown with a click.

Defect Analysis

• AYEDAS System stacks defects with various machine contact points on the plot to analyze matching levels and ensure correlation.
• Recurring defect analysis additionally provides defect concentration of each position on the wafer map or LCD map for users to determine if defects are concentratedly distributed.
• Defect source analysis conducts cross-comparisons to track the actual process steps of defect sources and identify possible process step (segment).

Analysis Preference

• A series of analytical process in used to clarify complex issues; a variety of diagrams and reports are also included to present the results. With the AYEDAS’s unique Analysis Preference, users can edit and store their own analytical process for processing logic of all kinds.
• Analysis Preference can be stored with one click for future use, sharing, and automatic scheduling analysis; they can also be reset to update analytical results in real time.

Personalized Preference

• With smart design, users can edit their preferences to streamline the steps of AYEDAS System and improve efficiency when conducting daily and repetitive analytical work.
• Members in the organization can share the preference list to enhance the overall efficiency of the team and save resources. Such feature also makes it easier to train and share experience with new personnel, shortening the learning curve of new employees.

Scheduling and Knowledge Management

• Schedule Jobs produce daily, weekly and monthly standardized analytical diagrams and reports based on personalized preferences. Users can prioritize their tasks more efficiently.
• Analytical results produced can be shown on the internally shared platform for exchange, discussion, and report. The tool is a big plus to professional knowledge and experience enhancement of individuals.

Prediction and Monitoring

• Advance predictions and monitoring can be carried out during the manufacturing process. With only a few samples to test and verify models, problems can be notified in advance.
• Monitor the suitability of models. Difference tests are used for automatic warning in order to ensure the suitability of models and their modification.

Low Maintainance Cost

• AYEDAS provides a data platform of both data integration and data analysis. With just a URL and an authorization, users can access production data and enjoy system functions remotely from all over the world. Convenience is ensured across borders, facilities, and departments.
• With the thin client and database solution, users are no longer limited to local hardware and software. Accessing massive amounts of data is just as easy as browsing websites.
• The system is easy to deploy, easy to maintain, and easy to expand; and with integrated functions such as online help, access management, system management, and user habit analysis, AYEDAS meets the needs of IT managers in all aspects.

Fully Integrated Data

• With over twenty years of system implementation experience in engineering data analysis across industries, TYNE has developed an engineering database and system structure most suitable for the manufacturing industry. The system integrates all sorts of data throughout the manufacturing process, satisfies individual needs of analysis, and helps achieve the goal of yield rate improvement.
• All data, be it from MES or EAP systems, measurement, testing, or production machines, or SEMs which is automatically uploaded to data files; even data from sensors is fully collected and integrated to the AYEDAS database.
• The flexible system infrastructure allows AYEDAS platform to be easily expanded even when new data types need to be integrated after the system go live.

An Easy-to-Manage System

• A comprehensive user access management mechanism is provided for administrators to easily add/delete/modify user accounts, groups, accessible data and functions. No more headaches when there is a organization change.
• Users can adjust their preferences and scheduling on their own without going through the IT department. They can also produce regular reports on their own and use their time more efficiently.

Excellent Performance

• For data from highly automated machines, ETL (Extract-Transform-Load) programs collect and organize massive data to the AYEDAS database in an automatic, regular, and smooth manner.
• EDA/YMS System requires regular mass data access and computing; therefore, TYNE AYEDAS has designed the system in a special manner for it to achieve maximum efficiency. AYEDAS System has high operational speed, high stability, and excellent performance, providing users with outstanding experience.