摘要:
Technical solutions are described to for assigning a team to resolve a defect during a manufacturing process. The method includes identifying a root cause of a defect from a root cause database by generating a reference code. The method also includes generating a defect score based on characteristics of the defect and the root cause, and identifying a set of solutions for the defect based on the defect score. The method also includes selecting a first solution from the set of solutions to implement and determining a candidate skill for the implementation. The method also includes identifying, from an employee database, a candidate employee that has the candidate skill and assigning the candidate employee to the team to resolve the defect.
摘要:
Technical solutions are described to for assigning a team to resolve a defect during a manufacturing process. The method includes identifying a root cause of a defect from a root cause database by generating a reference code. The method also includes generating a defect score based on characteristics of the defect and the root cause, and identifying a set of solutions for the defect based on the defect score. The method also includes selecting a first solution from the set of solutions to implement and determining a candidate skill for the implementation. The method also includes identifying, from an employee database, a candidate employee that has the candidate skill and assigning the candidate employee to the team to resolve the defect.
摘要:
A dynamic predictive model of a computing system fabrication test is constructed. The computing system fabrication test is conducted over test sectors. Each test sector corresponds to a different type of the computing system fabrication test, and includes test operations that are individually performed to effectuate the test sector. The dynamic predictive model generates a predicted completion time of each test operation of each test sector. Production output of the computing system fabrication test is forecast for a scenario corresponding to a particular computing system to undergo fabrication testing, by applying the dynamic predictive model to the scenario. The production output is forecast in that a total time remaining until the particular computing system to which the scenario corresponds has completed the fabrication testing is predicted.