METHOD TO IMPROVE REQUIREMENTS, DESIGN MANUFACTURING, AND TRANSPORTATION IN MASS MANUFACTURING INDUSTRIES THROUGH ANALYSIS OF DEFECT DATA

• US 20080046300A1
• Filed: 10/29/2007
• Published: 02/21/2008
• Est. Priority Date: 01/12/2006
• Status: Abandoned Application

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Weller, Scott, Thomas, John, Santhanam, Padmanabhan, Malkin, Peter, Kratschmer, Theresa, Perun, Stephen, Kostyk, Tim, Layton, Jeff, Pyra, Kenneth
• Application Number:
  US11/926,635
• Publication Number:
  US 20080046300A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

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.

Claims

1. A computer-implemented method of optimizing at least one of a design, manufacturing, testing, and delivery process for a product in a mass manufacturing process, the method comprising the steps of:

collecting error data relating to the product;

classifying the error data into categories of errors to provide classified error data; and

performing an analysis of aspects of the mass manufacturing process and product, comprising at least one of;

evaluating testing effectiveness, evaluating mass manufacturing processes, evaluating transportation process, identifying safety concerns, comparing in-process with post sales problems.

2. The method of claim 1 further comprising recommending modifications to an end user based on the analysis performed.

3. The method of claim 2 wherein the collecting, classifying, performing and recommending steps are performed at scheduled intervals.

4. A computer-implemented method of optimizing at least one of a design, manufacturing, testing, and delivery process for a product in a mass manufacturing process, the method comprising the steps of:

collecting error data relating to the product;

classifying the error data into categories of errors to provide classified error data; and

performing an analysis of aspects of the mass manufacturing process and product, comprising at least one of;

evaluating testing effectiveness, evaluating mass manufacturing processes, evaluating transportation process, identifying safety concerns, comparing in-process with post sales problems; and

generating a plurality of graphical representations of the classified error data.

5. The method of claim 4 wherein each graphical representation includes at least one graphical interpretation, including text.

6. A computer-implemented method of optimizing at least one of a design, manufacturing, testing, and delivery process for a product in a mass manufacturing process, the method comprising the steps of:

collecting error data relating to the product;

classifying the error data into categories of errors to provide classified error data;

analyzing relationships among the classified error data;

producing an analysis report;

recommending modifications to an end user for at least one of the design, manufacturing, testing, and delivery of the product; and

enabling the end user to provide the steps of collecting, classifying, analyzing, producing, and recommending to a second user.

7. The method of claim 6 further enabling the end user to provide the steps of collecting, classifying, analyzing, producing, and recommending on a continuing basis to the second user.

8. The method of claim 6 further enabling the end user to update the steps or analysis techniques or both.