Prediction of failure recovery timing in manufacturing process

An information handling system, comprising:

• one or more processors;
• one or more non-transitory computer-readable storage media coupled to the one or more processors;
• and
• a plurality of instructions, encoded in the one or more computer-readable storage media and configured to cause the one or more processors to
• receive identification of a current repair process, within a manufacturing process, for a failed product associated with a first scheduled shipment,
• associate a first set of parameter values with the current repair process, wherein one or more of the parameter values within the first set are obtained using information characterizing previous repair processes for products similar to the failed product,
• predict a degree of shipment delay, resulting from the current repair process, for the first scheduled shipment, wherein predicting the degree of shipment delay comprises applying a first machine learning model to the first set of parameter values, and
• based on the degree of shipment delay, formulate a proposed action, wherein the proposed action comprises at least one of waiting for completion of the current repair process,
• replacing the failed product with an alternative product undergoing the manufacturing process, wherein the alternative product is associated with a second scheduled shipment, or
• initiating production of a new product to replace the failed product.

A non-transitory computer readable storage medium having program instructions encoded therein, wherein the program instructions are executable to:

• receive identification of a current repair process, within a manufacturing process, for a failed product associated with a first scheduled shipment,
• associate a first set of parameter values with the current repair process, wherein one or more of the parameter values within the first set are obtained using information characterizing previous repair processes for products similar to the failed product,
• predict a degree of shipment delay, resulting from the current repair process, for the first scheduled shipment, wherein predicting the degree of shipment delay comprises applying a first machine learning model to the first set of parameter values, and
• based on the degree of shipment delay, formulate a proposed action, wherein the proposed action comprises at least one of waiting for completion of the current repair process,
• replacing the failed product with an alternative product undergoing the manufacturing process, wherein the alternative product is associated with a second scheduled shipment, or
• initiating production of a new product to replace the failed product.