Method, system, and storage medium for providing a dynamic, multi-dimensional commodity modeling process

• US 20050050095A1
• Filed: 08/29/2003
• Published: 03/03/2005
• Est. Priority Date: 08/29/2003
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Knipfer, Ivory W., Hurtis, George M., Thavasi, Manivannan, Komatsu, Jeffrey G.
• Granted Patent: US 7,302,445 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99944 Object-oriented database structure
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

An exemplary embodiment of the invention relates to a method, system, and storage medium for providing a dynamic multi-dimensional commodity modeling process. The method comprises creating a commodity hierarchy data structure. The commodity hierarchy data structure includes at least one top level node and at least one leaf node dependent upon the top level node. The method further comprises assigning uniform attributes to nodes in the hierarchy and selectively assigning at least one dimensional attribute to a node for invoking an analysis based upon the dimensional attribute. The dependent nodes inherit dimensional attributes assigned to corresponding upper level nodes. Other embodiments include an apparatus, a system, and storage medium.

Claims

1. A method for providing a dynamic multi-dimensional commodity modeling process, comprising:

creating a commodity hierarchy data structure comprising;

at least one top level node; and

at least one leaf node dependent upon said at least one top level node;

assigning attributes to nodes in said hierarchy, said attributes sharing uniform characteristics; and

selectively assigning at least one dimensional attribute to a node operable for invoking an analysis based upon said at least one dimensional attribute;

wherein dependent nodes inherit dimensional attributes assigned to corresponding upper level nodes.

2. The method of claim 1, further comprising:

at least one secondary level node dependent on said at least one top level node; and

at least one leaf node dependent on said at least one secondary level node.

3. The method of claim 1, wherein said attributes are dynamically alterable during instantiation of said multi-dimensional commodity modeling process.

4. The method of claim 1, wherein said dimensional attributes are dynamically alterable during instantiation of said multi-dimensional commodity modeling process.

5. The method of claim 1, wherein said invoking an analysis based upon said at least one dimensional attribute includes determining performance patterns related to a constituent.

6. The method of claim 2, wherein said at least one secondary level node comprises at least one nested sub-commodity.

7. The method of claim 1, wherein said at least one dimensional attribute is selectively assignable to at least one of:

a top level node; and

a leaf level node.

8. The method of claim 2, wherein said at least one dimensional attribute is selectively assignable to at least one secondary level node.

9. A dynamic multi-dimensional commodity model, comprising:

a commodity hierarchical structure comprising;

at least one top level node; and

at least one leaf level node;

uniform attributes associated with nodes in said commodity hierarchical structure; and

at least one dimensional attribute selectively assigned to at least one node in said commodity hierarchical structure, said at least one dimensional attribute operable for invoking an analysis;

wherein said at least one dimensional attribute is inherited down to corresponding nodes in said commodity hierarchical structure.

10. The dynamic multi-dimensional commodity model of claim 9, further comprising:

at least one secondary level node dependent on said at least one top level node; and

at least one leaf node dependent on said at least one secondary level node.

11. The dynamic multi-dimensional commodity model of claim 9, wherein said uniform attributes are dynamically alterable during instantiation of said multi-dimensional commodity model.

12. The dynamic multi-dimensional commodity model of claim 9, wherein said at least one dimensional attribute is dynamically alterable during instantiation of said multi-dimensional commodity model.

13. The dynamic multi-dimensional commodity model of claim 9, wherein said analysis includes determining performance patterns related to a constituent.

14. The dynamic multi-dimensional commodity model of claim 10, wherein said at least one secondary level node comprises at least one nested sub-commodity.

15. The dynamic multi-dimensional commodity model of claim 9, wherein said at least one dimensional attribute is selectively assignable to at least one of:

a top level node; and

a leaf level node.

16. The dynamic multi-dimensional commodity model of claim 10, wherein said at least one dimensional attribute is selectively assignable to said at least one secondary level node.

17. The dynamic multi-dimensional commodity model of claim 9, wherein said uniform attributes comprise at least one of:

sampling criteria;

period definition;

history definition; and

type of measure.

18. The dynamic multi-dimensional commodity model of claim 17, wherein said sampling criteria includes at least one of:

a product type;

an operations;

a step; and

a source.

19. The dynamic multi-dimensional commodity model of claim 17, wherein said period definition includes a unit of time to apply a specified analytic.

20. The dynamic multi-dimensional commodity model of claim 17, wherein said history definition includes a number of periods to be applied to a specified analytic.

21. The dynamic multi-dimensional commodity model of claim 17, wherein said type of measure includes a type of analytic to be applied, said type of analytic including a Shewhart Control Chart.

22. The dynamic multi-dimensional commodity model of claim 9, wherein said dimensional attributes includes at least one of:

a performance tolerance;

a noise filter;

an oscillation thresholds or trends;

consecutive trending; and

negative performance threshold.

23. The dynamic multi-dimensional commodity model of claim 22, wherein said performance tolerance defines a standard deviation from a mean.

24. The dynamic multi-dimensional commodity model of claim 22, wherein said noise filter defines a statistically significant sample size for a period.

25. The dynamic multi-dimensional commodity model of claim 22, wherein said oscillation thresholds or trends define unwanted change oscillating around a mean within limits.

26. The dynamic multi-dimensional commodity model of claim 22, wherein said negative performance threshold defines absolute value limits.

27. A quality management system for utilizing dynamic multi-dimensional commodity modeling, comprising:

a data collection component operable for collecting raw data;

a dynamic multi-dimensional commodity model component;

a commodity constituent model generated by said dynamic multi-dimensional commodity model component;

a closed loop/corrective action component operable for resolving nonconformance issues resulting from analysis;

an analytic engine in communication with said data collection component, said multi-dimensional commodity model component, and said closed loop/corrective action component;

wherein said analytic engine performs;

receiving said raw data from said data collection component;

receiving said commodity constituent model;

performing analytics on said raw data according to rules defined by said commodity constituent model; and

if said performing analytics results in a nonconformance, transmitting nonconformance data to said closed loop/corrective action component.

28. The quality management system of claim 27, wherein said dynamic multi-dimensional commodity model component performs:

creating a commodity hierarchy data structure comprising;

at least one top level node; and

at least one leaf node dependent upon said at least one top level node;

assigning attributes to nodes in said hierarchy, said attributes sharing uniform characteristics; and

selectively assigning at least one dimensional attribute to a node operable for invoking an analysis based upon said at least one dimensional attribute;

wherein dependent nodes inherit dimensional attributes assigned to corresponding upper level nodes.

29. A storage medium encoded with machine-readable computer program code for providing a dynamic multi-dimensional commodity modeling process, the storage medium including instructions for causing a computer to implement a method, comprising:

creating a commodity hierarchy data structure comprising;

at least one top level node; and

at least one leaf node dependent upon said at least one top level node;

assigning attributes to nodes in said hierarchy, said attributes sharing uniform characteristics; and

selectively assigning at least one dimensional attribute to a node operable for invoking an analysis based upon said at least one dimensional attribute;

wherein dependent nodes inherit dimensional attributes assigned to corresponding upper level nodes.

30. The storage medium of claim 29, further comprising instructions for causing said computer to implement:

at least one secondary level node dependent on said at least one top level node; and

at least one leaf node dependent on said at least one secondary level node.

31. The storage medium of claim 29, wherein said attributes are dynamically alterable during instantiation of said multi-dimensional commodity modeling process.

32. The storage medium of claim 29, wherein said dimensional attributes are dynamically alterable during instantiation of said multi-dimensional commodity modeling process.

33. The storage medium of claim 29, wherein said invoking an analysis based upon said at least one dimensional attribute includes determining performance patterns related to a constituent.

34. The storage medium of claim 30, wherein said at least one secondary level node comprises at least one nested sub-commodity.

35. The storage medium of claim 29, wherein said at least one dimensional attribute is selectively assignable to at least one of:

a top level node; and

a leaf level node.

36. The storage medium of claim 30, wherein said at least one dimensional attribute is selectively assignable to at least one secondary level node.