Patent ID: 9652836
Date: 2017-05-16
CPC Classifications: G06T,H01L

Claim:
1. A defect cell clustering method comprising: generating a sample defect map showing a defect cell distribution of cell positions of bad samples, the bad samples relating to products, each of the products being partitioned into a plurality of cells and including in the plurality of cells one or more defect cells; selecting from the sample defect map at least some of the cell positions, having one or more of the defect cells, as clustering targets; selecting, for each of the cell positions in the clustering targets, at least one suspected bad equipment, based on pass equipment information for the products, wherein the pass equipment information is information of at least one equipment the products have passed through during a process for producing each of the products, and the at least one suspected bad equipment is at least one suspected equipment generating the defect cells during the process for producing each of the products, among the at least one equipment the products have passed through; and grouping the clustering targets into one or more clusters, according to a position coherence between a first one of the cell positions and a second one of the cell positions included in one cluster, the first and second cell positions each having the at least one suspected bad equipment in common; wherein the generating, the selecting of at least some of the cell positions, the selecting the at least one suspected bad equipment, and the grouping are implemented by a hardware processor.