WM-Graph: Graph-Based Approach for Wafermap Analytics

This paper introduces WM-Graph, a novel approach designed for flexible analytics of wafermaps. The key concept behind WM-Graph is the construction of a wafermap graph, where individual wafermaps are connected if they exhibit semi-equivalence. This graph-based structure allows a wide range of analytics to be performed using established graph algorithms. Unlike traditional multi-class classification methods, WM-Graph enables more versatile analyses, making it possible to answer complex, practical questions that would otherwise be difficult to address. We explain the technical innovations that underpin the WM-Graph approach and demonstrate how to perform certain analytical tasks with simple graph operations. The effectiveness of the WM-Graph approach is validated through experiments using the public WM-811K dataset and a proprietary dataset from a recent production line.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/itc51657.2024.00030
Citations
3
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.05

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article

WM-Graph: Graph-Based Approach for Wafermap Analytics

Min Jian Yang, Yueling Jenny Zeng, Li-C. Wang
3 citations
Manufacturing Process and Optimization
1.05
article

WM-Graph: Graph-Based Approach for Wafermap Analytics

Min Jian Yang, Yueling Jenny Zeng, Li-C. Wang
article en
3 citations

Abstract

This paper introduces WM-Graph, a novel approach designed for flexible analytics of wafermaps. The key concept behind WM-Graph is the construction of a wafermap graph, where individual wafermaps are connected if they exhibit semi-equivalence. This graph-based structure allows a wide range of analytics to be performed using established graph algorithms. Unlike traditional multi-class classification methods, WM-Graph enables more versatile analyses, making it possible to answer complex, practical questions that would otherwise be difficult to address. We explain the technical innovations that underpin the WM-Graph approach and demonstrate how to perform certain analytical tasks with simple graph operations. The effectiveness of the WM-Graph approach is validated through experiments using the public WM-811K dataset and a proprietary dataset from a recent production line.

University of California, Santa Barbara (US)
National Science Foundation
Openalex Percentile: Top 19%
Manufacturing Process and Optimization
1.05
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WM-Graph: Graph-Based Approach for Wafermap Analytics — Min Jian Yang, Yueling Jenny Zeng, et al. · (2024) | TGRS Research Map | TGRS