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What is PAT-Man?
In light of the rigorous quality standards imposed by the automotive industry, semiconductor companies are progressively implementing Part Average Testing (PAT) to enhance product reliability. This approach aims to pinpoint and eradicate "outlier" components that may pass standard testing but exhibit atypical characteristics, thus alleviating long-term quality and reliability issues. Through comprehensive statistical evaluations of various devices and adjustments to the pass/fail criteria, PAT facilitates the early identification of these faulty parts, ensuring that only top-grade components are sent out in production batches. Although Part Average Testing (PAT), as detailed in the Automotive Electronics Council AEC-Q001-Rev C guidelines, mainly concentrates on DPM methodologies for normal (Gaussian) distributions, many practical situations involve non-conforming distributions. Therefore, it becomes crucial to adopt specialized PAT outlier detection methods to avert substantial yield losses or incorrect outlier designations. To tackle these difficulties, PAT-Man presents itself as a powerful solution for implementing effective Part Average Testing (PAT). This groundbreaking tool not only improves the reliability of semiconductor products but also optimizes the testing workflow, ultimately providing significant advantages to both manufacturers and consumers. Additionally, by integrating advanced analytics and machine learning techniques, PAT-Man can further refine the identification process, ensuring that the semiconductor industry continues to meet the evolving demands for quality and performance.
What is Fountain9 Kronoscope?
Stay ahead of the changing preferences of your clientele by utilizing accurate demand forecasts and stock-out predictions. Our innovative platform, Kronoscope, consistently tracks demand fluctuations, allowing for swift responses that prevent overstocking while guaranteeing that customers can always access the products they desire. By employing a blend of sophisticated machine learning and deep learning techniques, Kronoscope generates a customized model for each SKU across numerous stores, warehouses, or distribution channels. Our specialized algorithms identify diverse patterns, including seasonality, cannibalization, and substitution effects, which significantly improves the precision of our forecasts. There is no requirement for manual interventions, as the models independently retrain to adapt to new demand dynamics, detect anomalies, and reduce historical variability. Furthermore, Kronoscope provides natural language insights into unusual occurrences, major drivers of demand shifts, and high-impact products, among other critical data. You can also refine your demand predictions by analyzing how promotions, marketing efforts, and various other operational factors influence customer demand. This all-encompassing strategy ensures that your inventory management practices stay in sync with the most current market trends and consumer behaviors. Ultimately, Kronoscope empowers businesses to make informed decisions, fostering a more responsive and efficient supply chain.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Galaxy
Company Location
United States
Company Website
www.galaxysemi.com/products/pat-man
Company Facts
Organization Name
Fountain9
Date Founded
2019
Company Location
India
Company Website
www.fountain9.com
Categories and Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Categories and Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting