摘要:
A system for optimizing at least one of a design, production, or testing process of a product in a mass manufacturing process includes: a central processing unit; a network interface operatively connected to the central processing unit; a storage device; a memory including logic for execution by the central processing unit, wherein the logic includes: a server handler made up of a client applet and a client interface servlet which are configured for enabling authorized end-user communication; an error data collection handler configured for gathering error data; an error data classification handler; an analysis handler; a suggested actions report handler; and the system further includes a server database configured for storing, modifying, and deleting data.
摘要:
A computer-implemented method of optimizing at least one of a design, production and testing process in a mass manufacturing process includes steps of: collecting error data relating to a product at a plurality of points along its design, production, and distribution chain; classifying the error data into categories of errors to provide classifier error data; analyzing relationships among the classified error data; producing an analysis report; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the analysis report.
摘要:
A computer-implemented method of optimizing a design of a product in a mass manufacturing process includes steps of: collecting error data relating to a product; classifying the error data into categories of errors to provide classifier error data; analyzing relationships among the classified error data; producing an analysis report; and recommending modifications to an end user for the design of the product.
摘要:
A computer-implemented method of optimizing at least one production or testing processes in a mass manufacturing industry, includes steps of: collecting error data relating to a product at a plurality of points along its production and distribution chain; classifying the error data into categories of errors to provide classified error data; analyzing relationships among the classified error data; and suggesting modifications to at least one of the production or testing processes based on the analysis.