Patent for AI Driven Digital Twin System to Improve Factory Efficiency
MIE Teaching Professor Mohammad Dehghani was awarded a patent for “Digital twin modeling and optimization of production processes.”
Abstract Source: USPTO
A machine learning system and method for optimizing a production process. For instance, the method includes several steps as follows: selecting different values for a plurality of input parameters of a digital model of the production process for simulation; running the digital model using the different values for the plurality of input parameters and at least some of real-time data of the production process; determining a plurality of output parameters of the digital model; analyzing the plurality of output parameters; learning an optimized plurality of input parameters corresponding to the plurality of output parameters; and programming the production process to use the optimized plurality of input parameters to run the production process.
