A method for mitigating effects of a shipment time delay of intermediate products and materials in a manufacturing process comprises, in a training phase, obtaining historical supplier data of the intermediate products and materials, obtaining process parameters of the manufacturing process that are observable for the manufacturing process, and obtaining external data that are independent from the manufacturing process. The method applies a machine learning algorithm to generate a model for predicting a time delay risk in the manufacturing process based on the historical supplier data, the process parameters of the manufacturing process and the external data, and records the generated model in a database. In an application phase, the method obtains current process parameters of the manufacturing process and current external data, and proceeds by predicting an actual time delay risk based on the recorded model for predicting a time delay risk and the current process parameters of the manufacturing process and the current external data. The method generates an output signal including the predicted actual time delay risk, and outputs, via a human machine interface, the generated output signal to a user.