Patent ID: 11901204
Assignee: APPLIED MATERIALS, INC.
Field: Control (Instruments)
Classification: CPC G  H  Y | IPC G  H

Claim 0:
1. A method comprising:
identifying, by a processing device, a machine learning model, updated based on a first duration to perform a first manufacturing task using a wafer modification chamber and a second duration to perform a second manufacturing task using a wafer movement chamber, to perform a computer simulation forecasting processing of a set of wafers using the wafer modification chamber and the wafer movement chamber based on a set of start times, wherein each wafer of the set of wafers is associated with a respective start time of the set of start times;
initiating, by the processing device, the computer simulation using the machine learning model based on the set of start times for the set of wafers to obtain a first simulation result;
determining, by the processing device, whether the set of wafers includes an idle wafer that is idle for a duration that exceeds a predefined threshold value;
in response to determining that the set of wafers includes the idle wafer, generating, by the processing device, a modified set of start times by modifying at least the start time for the idle wafer;
initiating, by the processing device using the machine learning model, a second computer simulation forecasting processing of the set of wafers using the wafer modification chamber and the wafer movement chamber based on the modified set of start times to obtain a second simulation result; and
storing, by the processing device in a data store, a simulation result selected from a set of simulation results comprising the first simulation result and the second simulation result, wherein the simulation result is represented by a set of vectors comprising time series data.