Semiconductor Chamber Part Authentication for Predictable Processing
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Solution Overview
Problem
The challenge in semiconductor processing systems is the lack of effective tracking and authentication of parts, leading to unpredictable performance, residual material buildup, and difficulty in diagnosing performance issues due to incomplete understanding of part sources and attributes.
Innovation Solution
A method for tracking semiconductor processing chamber parts using a non-transitory computer-readable medium that receives and updates part tracking and status data, authenticates parts, and stores status information in a centralized location, enabling improved part management and performance monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If parts are purchased from non-reputable sources or used components to save money or time, then cost and time are reduced, but performance predictability and reliability deteriorate
Solution Approach 1:
The system performs preliminary authentication and tracking of parts before they are installed in the chamber. By establishing part provenance and condition history in advance through scanning and database verification, the system ensures performance predictability without requiring time-consuming verification later in the process.
2Device complexity
If parts are not tracked and authenticated, then system complexity is reduced, but performance diagnosis and part management become difficult
Solution Approach 1:
The system segments part management by assigning unique identifiers to individual parts and tracking them separately through their lifecycle. This segmentation allows detailed monitoring of each part's condition, source, and performance history without requiring complex manual tracking systems, as the automated scanning and database storage handle the complexity.
3Extent of automation
If manual tracking methods are used, then automation level is reduced, but implementation complexity and cost are lowered
Solution Approach 1:
The system enables self-service automation where parts automatically provide their identification information through built-in or attached identifiers (such as RFID tags, barcodes, or data matrices). The scanning devices automatically read and process this information without human intervention, and the database system automatically updates part status and chamber configuration, reducing the need for manual tracking operations.
Data Source
AI summary
The present disclosure is directed to a system and method to identify and track parts of a semiconductor processing chamber, as well as the status of the parts, and store status information in a centralized location as status changes over time.