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AssigneeMerck Patent GmbH
InventorsRolf Roth, Maximilian Schoen, Nitika Thakral, Gang Han-Adebekun
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A method and a system for improving a production process of a product via a computer wherein the computer runs a software performing a machine learning model which is used to predict target production process parameters based on specific input data of the production process and therefore trained with a specific training dataset regarding that input data and target parameters, and finally the predicted target parameters are used to improve the production process, wherein the machine learning model predicts at least two different target parameters at the same time and is therefore trained with a joint training data set adapted to the at least two target parameters.
A method for improving a production process of a product via a computer wherein the computer runs a software performing a machine learning model which is used to predict target production process parameters based on specific input data of the production process and therefore trained with a specific training dataset regarding that input data and target parameters, and finally the predicted target parameters are used to improve the production process, wherein the machine learning model predicts at least two different target parameters at the same time and is therefore trained with a joint training data set adapted to the at least two target parameters.
A System for improving a production process of a product comprising of a computer, a software with a machine learning model performed on the computer, at least one production device and a data network connecting all system components, wherein the system is configured to predict at least two different target parameters at the same time based on specific input data of the production process from the at least one production device with the model being trained with a joint training data set adapted to the at least two target parameters and the input data, and wherein finally the at least one production device is configured with the predicted target parameters therefore improving the production process.
Dependencies are inferred from the claim text.