System and method for determining quality analysis on fabrication and/or assembly design using shop capability data

• US 5,452,218 A
• Filed: 02/03/1994
• Issued: 09/19/1995
• Est. Priority Date: 02/03/1994
• Status: Expired due to Fees

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Johnson, Richard W., Tucker, Marvin G., Hawiszczak, Robert S., Brueggeman, Jeffrey T., Smyth, James C., Dines, Carol E.
• Primary Examiner(s): RUGGIERO, JOSEPH F
• Application Number:
  US08/190,961
• Time in Patent Office: 593 Days
• Field of Search: 364/468, 364/401, 364/402, 364/403, 364/552, 364/554, 395/919, 395/903, 395/904
• US Class Current: 700/110
• CPC Class Codes: G05B 19/41875 characterised by quality surveillance of production
• CPC Class Codes: G05B 2219/32194 Quality prediction
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G07C 3/14 Quality control systems
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

A system and method for determining quality levels for fabrication and assembly designs using process capabilities stored in a database is disclosed. The capability data is collected and stored in a database accessible to all users. A worksheet is used to model a manufactured product using process capability data retrieved from said database of process capabilities. The system displays the defects and totals them according to a predetermined criteria to produce a measure of quality.

Claims

1. A method of predicting production defects per unit of a product comprising the steps of:

storing manufacturing process capability data in a database in terms of product defects, generating a model for the manufacture of said product, and combining said manufacturing process capability data with said model for manufacture to predict the production defects per unit of said model of said product.

2. The method of claim 1 wherein said storing step includes storing a plurality of technologies.

3. The method of claim 1 wherein said storing step includes storing for any manufacturing technology, a worksheet containing provision for editing said worksheet for modeling and refining of the manufacture of a proposed product using a plurality of manufacturing processes and their associated capability data.

4. The method of claim 3 wherein said combining step includes summing the defects per unit on said worksheet for the generated model.

5. The method of claim 1 wherein said storing step includes storing defects in terms of DPMO.

6. The method of claim 1 wherein said storing step includes storing defects in terms of standard deviations.

7. A method of determining the expected quality of a product comprising the steps of:

storing shop capability data in a database in terms of product defects and operations, selecting the data associated with the process of making the product, and combining the defects and operations elected in making the product to determine the expected quality of the product, said storing step includes storing a plurality of technologies, and said storing step includes storing for each technology a worksheet containing provisions for one or more lines of processes with process lines having process opportunities, DPMO, and standard deviations.

8. The method of claim 7 wherein said selecting step includes editing the lines in said worksheet as determined by the product.

9. The method of claim 8 wherein said combining step comprises determining the DPU for each line, totaling the DPUs by adding the DPUs on the worksheet and multiplying the process opportunities by the quantity of applications to get the total opportunities.

10. The method of claim 9 wherein the combining step further includes the step of assessing a quality level based on opportunities and total DPUs.

11. A method of determining the expected quality of a product before producing the product comprising the steps of:

storing a database of shop capability data in terms of operation steps, process opportunities, and DPMO;

generating a worksheet of shop capability data by adding and subtracting data using an edit function; and

adding the DPMOs on the worksheet and calculating a process DPU.

12. The method of claim 11 further including the step of storing a process capability value based on a DPMO and getting a process capability value based on said DPMO.

13. An apparatus for predicting the production defects per unit of a product comprising:

a database comprising manufacturing process capability data in terms of product defects,

selection circuitry for retrieving process capability data associated with any specific manufacturing process included in a selected model for manufacturing of said product, and

combining circuitry for predicting the production defects per unit of said selected model of said product.

14. The apparatus of claim 13 wherein said database includes standard deviation.

15. The operator of claim 13 wherein said database includes DPMO.

16. A method of designing a product comprising the steps of:

(a) storing manufacturing process capability data in a database in

terms of product defects,

(b) generating a model for the manufacture of said product,

(c) combining said manufacturing process capability data with said

model for manufacture to predict the production defects per unit of said model of said product, and

(d) repeating steps (a) through (c) until said model has least defects per unit.