Patent application number | Description | Published |
20100004882 | FAULT DETECTION AND CLASSIFICATION METHOD FOR WAFER ACCEPTANCE TEST PARAMETERS - A fault detection and classification (FDC) method for wafer acceptance test (WAT) parameters includes the following steps. A plurality of fault detection and classification parameters is collected. A plurality of wafer acceptance test parameters that are corresponded by the fault detection and classification parameters is collected. The fault detection and classification parameters are grouped. A contingency table of the wafer acceptance test parameters corresponding to the fault detection and classification parameters is built. A probability model of the contingency table is built. Finally, a safety range of the probability model is determined. | 01-07-2010 |
20100010763 | METHOD FOR DETECTING VARIANCE IN SEMICONDUCTOR PROCESSES - A method of detecting variance by regression model is disclosed. Said method comprising: preparing the FDC and WAT data for analysis, figuring out what latent variable effect WAT by Factor Analysis, utilizing Principal Component Analysis to reduce the number of FDC variables to a few independent principal components, demonstrating how the tool and FDC affect WAT by Analysis of covariance model, and constructing interrelationship among FDC, WAT and tools. The interrelationship can point out which parameter effect WAT significantly. By the method, when WAT abnormal situation happened, it is easier for engineers to trace where the problem is. | 01-14-2010 |
20100049355 | METHOD FOR DETERMINING TOOL'S PRODUCTION QUALITY - A method for determining manufacturing tool production quality includes providing a table with manufacturing process data. The table is analyzed and a contingency table is established. The contingency table comprises several manufacturing tools, manufacturing processes, and the number of occurrences of bad lots. Split the contingency table up into a plurality of sub-tables. Use Cochran-Mantel-Haenszel test for determining the number of bad lots produced by the manufacturing tools and getting a plurality of statistics. Translate the statistics into a plurality of P-values. Sort the P-values for examining data automatically. Draw a line chart for detecting substandard manufacturing tools. As a result, users can diagnose the quality of the manufacturing tools. | 02-25-2010 |
20100223027 | MONITORING METHOD FOR MULTI TOOLS - A monitoring method for multi tools is disclosed. The method includes the steps of providing a plurality of measurement tools for measuring the testing points of standard wafers, calculating a vector for representing a measurement tool, calculating the angle between every two of the vectors and determining the measurement tools having the same performance or not. Thereby, the measurement tools can be efficiently grouped and the measuring stability of the measurement tool is analyzed. | 09-02-2010 |
20110093226 | FAULT DETECTION AND CLASSIFICATION METHOD FOR WAFER ACCEPTANCE TEST PARAMETERS - A fault detection and classification (FDC) method for wafer acceptance test (WAT) parameters includes the following steps. A plurality of fault detection and classification parameters is collected. A plurality of wafer acceptance test parameters that are corresponded by the fault detection and classification parameters is collected. The fault detection and classification parameters are grouped. A contingency table of the wafer acceptance test parameters corresponding to the fault detection and classification parameters is built. A probability model of the contingency table is built. Finally, a safety range of the probability model is determined. | 04-21-2011 |
20110137595 | YIELD LOSS PREDICTION METHOD AND ASSOCIATED COMPUTER READABLE MEDIUM - A yield loss prediction method includes: performing a plurality of types of defect inspections upon a plurality of batches of wafers which begin to be processed during different periods to generate defect inspection data, respectively; for a specific batch of wafers different from the plurality of batches of wafers, calculating defect prediction data of at least one type of defect inspection according to the defect inspection data of at least the type of defect inspections; and predicting a yield loss of the specific batch of wafers according to at least the defect prediction data. | 06-09-2011 |
20110251708 | METHOD FOR PLANNING PRODUCTION SCHEDULE OF EQUIPMENT AND ASSOCIATED COMPUTER READABLE MEDIUM - A method for planning a production schedule of equipment includes: receiving information about a material replacement of the equipment; and determining a target production schedule of the equipment according to the information about the material replacement of the equipment, wherein the target production schedule includes an idle period, and during the idle period, the equipment stops manufacturing under a normal state. | 10-13-2011 |
20120102052 | SPECIFICATION ESTABLISHING METHOD FOR CONTROLLING SEMICONDUCTOR PROCESS - A specification establishing method for controlling semiconductor process, the steps includes: providing a database and choosing a population from the database; sampling a plurality of sample groups from the population, each sample group being a non-normal distribution and having a plurality of samples; filtering the sample groups; summarizing the filtered sample groups to form a non-normal distribution diagram; getting a value-at-risk and a median by calculating from the non-normal distribution diagram; getting a critical value by calculating the value-at-risk and the median with a critical formula; getting a plurality of state values by calculating the filtered sample groups with a proportion formula; and getting an index value by calculating the non-normal distribution diagram with the proportion formula. Thus, the state values indicate the states of the sample groups are abnormal or not by comparing the state values to the index value. | 04-26-2012 |