N-dimensional material planning method and system with corresponding program therefor

• US 6,243,613 B1
• Filed: 12/31/1997
• Issued: 06/05/2001
• Est. Priority Date: 12/31/1997
• Status: Expired due to Fees

• Current Assignee: Philips Electronics North America Corporation (Koninklijke Philips N.V.)
• Original Assignee: Philips Electronics North America Corporation (Koninklijke Philips N.V.)
• Inventors: Bakkalbasi, Omer, Fu, Bor-Ruey, Desiraju, Ramakrishna, Krasinski, Ray
• Primary Examiner(s): Gordon, Paul P.
• Assistant Examiner(s): PATEL, RAMESH B
• Application Number:
  US09/002,026
• Time in Patent Office: 1,252 Days
• Field of Search: 700/48, 700/51, 700/97, 700/96, 700/98, 700/99, 700/102, 700/103, 700/104, 700/105, 700/106, 700/29, 705/7, 705/22-23, 705/8, 705/9, 705/16
• US Class Current: 700/104
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0875 Itemisation or classification of parts, supplies or services, e.g. bill of materials
• CPC Class Codes: G06Q 20/208 Input by product or record sensing, e.g. weighing or scanner processing
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

An N-dimensional material planning method for evaluating supplier material policy includes steps for storing supplier characterization data in a N-dimensional data space, and evaluating the supplier characterization data using predetermined rules to thereby generate at least one of a current policy assessment and a recommended policy goal. Moreover, the method includes a further step for analyzing the predetermined rules upon which the at least one of the current policy assessment and the recommended policy goal are based. According to an aspect of the present invention, the evaluating step uses predetermined rules including binary rules and weighting rules to generate the at least one of the current policy assessment and the recommended policy goal, where the binary rules have precedence over the weighting rules. A computer system and a storage medium for carrying out and storing computer readable instructions, respectively, pertaining to the N-dimensional material planning method are also described.

Claims

1. A storage medium which stores computer readable instructions for permitting a computer to store supplier characterization data in an N dimensional data space and to evaluate said supplier characterization data to thereby generate at least one of a current supply policy assessment and a recommended supply policy goal, wherein said at least one of said current supply policy assessment and said recommended supply policy goal is displayed as an intersection between said N dimensional data space and a surface.

2. The storage medium as recited in claim 1, wherein said surface comprises a plane.

3. The storage medium as recited in claim 1, wherein said storage medium is a hard drive disposed in a computer.

4. A storage medium which stores computer readable instructions for permitting a computer to store supplier characterization data in an N dimensional data space, to evaluate said supplier characterization data to thereby generate at least one of a current supply policy assessment and a recommended policy goal, to display selected portions of said supplier characterization data indicative of the generated said at least one of a current supply policy assessment and a recommended policy goal in responsive to user commands, wherein said at least one of said current supply policy assessment and said recommended supply policy goal is displayed as an intersection between said N dimensional data space and a surface.

5. The storage medium as recited in claim 4, wherein said surface comprises a plane.

6. The storage medium as recited in claim 4, wherein said storage medium is a hard drive disposed in a computer.

7. The storage medium as recited in claim 4, wherein said storage medium is a hard drive located remote from a computer displaying said at least one of said current supply policy assessment and said recommended supply policy goal as an intersection between said N dimensional data space and a surface.

8. A N dimensional material planning method for evaluating supplier material policy, comprising steps for:

storing supplier characterization data in a N dimensional data space; and

evaluating said supplier characterization data using predetermined rules to thereby generate at least one of a current supply policy assessment and a recommended policy goal, wherein said evaluating step comprises evaluating said supplier characterization data using predetermined rules including binary rules and weighting rules to thereby generate said at least current policy assessment and said recommended policy goal.

9. The N-dimensional material planning method as recited in claim 8, further comprising:

analyzing said predetermined rules upon which said at least one of said current policy assessment and said recommended policy goal are based.

10. The N-dimensional material planning method as recited in claim 8, where N is an integer greater than two.

11. The N-dimensional material planning method as recited in claim 8, wherein said binary rules have precedence over said weighting rules.

12. A 3-dimensional material planning method for evaluating supplier material policy, comprising steps for:

storing supplier characterization data in a 3-dimensional data space;

evaluating said supplier characterization data using predetermined rules to thereby generate at least one of a current supply policy assessment and a recommended policy goal; and

displaying related ones of said predetermined rules corresponding to said at least one of a current supply policy assessment and a recommended policy goal, wherein said evaluating step comprises evaluating said supplier characterization data using predetermined rules including binary rules and weighting rules to thereby generate said at least one of a current supply policy assessment and a recommended policy goal.

13. The 3-dimensional material planning method as recited in claim 12, further comprising the step of:

displaying said at least one of said current supply policy assessment and said recommended supply policy goal.

14. The 3-dimensional material planning method as recited in claim 13, wherein said at least one of said current supply policy assessment and said recommended supply policy goal is displayed as an intersection between said 3-dimensional data space and a planar surface.

15. The 3-dimensional material planning method as recited in claim 12, wherein said binary rules have precedence over said weighting rules.

16. A computer system implementing an N-dimensional material planning method for evaluating supplier material policy, comprising:

means for storing supplier characterization data in a N-dimensional data space; and

means for evaluating said supplier characterization data using predetermined rules to thereby generate at least one of a current supply policy assessment and a recommended policy goal, wherein said evaluating means comprises;

means for evaluating said supplier characterization data using predetermined rules including first means for applying binary rules; and

second means for applying weighting rules, wherein said first and second means cooperatively generate said at least one of a current supply policy assessment and a recommended policy goal.

17. The computer system as recited in claim 16, further comprising:

means for analyzing said predetermined rules upon which said at least one of said current policy assessment and said recommended policy goal are based.

18. The computer system as recited in claim 16, where N is an integer greater than two.

19. The computer system as recited in claim 16, wherein said first means has precedence over said second means.

20. A computer system performing a 3-dimensional material planning method for evaluating supplier material policy responsive to stored computer readable code, comprising:

a first device which stores supplier characterization data in 3-dimensional data space;

a second device which evaluates said supplier characterization data using predetermined rules to thereby generate at least one of a current policy assessment and a recommended policy goal, wherein said second device evaluates said supplier characterization data using predetermined rules including binary rules weighting rules to thereby generate said current policy assessment and said recommended policy goal; and

third device which displays related said predetermined rules corresponding to said at least one of said current supply policy assessment and said recommended policy goal.

21. The computer system as recited in claim 20, further comprising:

a fourth device which graphically displays said at least one of said current supply policy assessment and said recommended supply policy goal.

22. The computer system as recited in claim 21, wherein said at least one of said current supply policy assessment and said recommended supply policy goal is displayed on said fourth device as an intersection between said 3 dimensional data space and a planar surface.

23. The computer system as recited in claim 20, wherein said binary rules have precedence over said weighting rules.

24. The computer system as recited in claim 20, further comprising:

a fourth device which graphically displays said at least one of said current supply policy assessment and said recommended supply policy goal,

wherein;

said at least one of said current supply policy assessment and said recommended supply policy goal is displayed on said fourth device as an intersection between said 3 dimensional data space and a planar surface,

said second device evaluates said supplier characterization data using predetermined rules including binary rules and weighting rules to thereby generate said at least one of said current policy assessment and said recommended policy goal, and

said binary rules have precedence over said weighting rules.