Quality forecasting engine
First Claim
1. An automated method of predicting the number of defects that will occur during the manufacturing of a new product design on a specific assembly, line, comprising:
- identifying and counting the components that are manufactured on said assembly line during a time period;
counting the number of defects that are associated with each of said identified components;
storing the counted defects in a first historical database;
calculating the defect rate for each of said identified components and storing said defect rate in the first historical database;
enumerating a bill of material for said new electronic assembly design;
extracting information associated with a component from a library database into a quality forecasting engine, said information comprising part number, part description and part geometry;
the quality forecasting engine importing the enumerated bill of material and the stored defect rate from the first historical database; and
the quality forecasting engine performing a comparison of the imported enumerated bill of material information to the extracted information and to the imported stored defect rate, and calculating a predicted number of defects for said new electronic assembly.
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Accused Products
Abstract
An automated method of predicting the number of defects that will occur during the manufacturing of a new electronic assembly design on a specific assembly line. Defective components are counted (214) as they are manufactured on an assembly line (210). The counted defects are stored in a historical database (220) and the defect rate is calculated. A bill of material for the new electronic design (230) is enumerated and information associated with each component is extracted from a library database (240) into a quality forecasting engine (250). The quality forecasting engine imports the enumerated bill of material and imports the stored defect rate from the historical database to perform a calculation of a predicted number of defects (260) for said new electronic assembly using the extracted library information.
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Citations
8 Claims
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1. An automated method of predicting the number of defects that will occur during the manufacturing of a new product design on a specific assembly, line, comprising:
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identifying and counting the components that are manufactured on said assembly line during a time period; counting the number of defects that are associated with each of said identified components; storing the counted defects in a first historical database; calculating the defect rate for each of said identified components and storing said defect rate in the first historical database; enumerating a bill of material for said new electronic assembly design; extracting information associated with a component from a library database into a quality forecasting engine, said information comprising part number, part description and part geometry; the quality forecasting engine importing the enumerated bill of material and the stored defect rate from the first historical database; and the quality forecasting engine performing a comparison of the imported enumerated bill of material information to the extracted information and to the imported stored defect rate, and calculating a predicted number of defects for said new electronic assembly. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An automated method of predicting the number of defects that will occur during the manufacturing of a new electronic assembly design on a specific assembly line, comprising:
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identifying and counting the components that are manufactured on said assembly line during a time period; counting the number of defects that are associated with each of said identified components; storing the counted defects in a first historical database; calculating the defect rate for each of said identified components and storing said defect rate in the first historical database; enumerating a bill of material for every component in said new electronic assembly design; extracting information associated with a component from a library database into a quality forecasting engine, said information comprising part number, part description and part geometry; the quality forecasting engine importing the enumerated bill of material and the stored defect rate from the first historical database; inputting into the quality forecasting engine factors for components that are not resident in the first historical database or in the library database; and the quality forecasting engine performing a comparison of the imported enumerated bill of material information to the extracted information and to the imported stored defect rate, and calculating a predicted number of defects for every component in the bill of material of said new electronic assembly. - View Dependent Claims (8)
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Specification