Benchmarking and gap analysis system and method

• US 7,941,296 B2
• Filed: 12/21/2007
• Issued: 05/10/2011
• Est. Priority Date: 04/27/2007
• Status: Expired due to Fees

• Current Assignee: HSB Solomon Associates LLC (Münchener Rückversicherungs-Gesellschaft AG)
• Original Assignee: HSB Solomon Associates LLC (Münchener Rückversicherungs-Gesellschaft AG)
• Inventors: Fluegge, Ronald M., Jones, Richard B.
• Primary Examiner(s): Cosimano; Edward R
• Application Number:
  US11/963,015
• Publication Number:
  US 20080270078A1
• Time in Patent Office: 1,236 Days
• Field of Search: 734/321, 738/658, 738/659, 700/90, 700/95, 700/108, 700/111, 702/1, 702/33, 702/34, 702/35, 702/127, 702/182, 702/186, 702/187, 702/189, 705/1.1, 705/7, 705/11
• US Class Current: 702/186
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/04 Manufacturing
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02P 90/30 Computing systems specially adapted for manufacturing

Abstract

A computer-implemented method is provided for creating a peer unit and comparing that peer unit to a target unit in order to determine the difference in performance between the target unit and a peer unit. The peer unit is a hypothetical construct of user-defined performance variables whose values are determined based on outstanding performing units in a user-defined group. This comparison allows the user to assess what parameters of the target unit should be changed in order to improve overall performance.

Claims

1. A computer-implemented method of comparing an output variable value of a target unit with a corresponding output variable value of a peer unit comprising the steps of:

(a) determining a value of a first composite performance variable for a plurality of base units, wherein the plurality of base units is a set of units that meet a predefined set of parameters, comprising the steps of;

performing a non-linear optimization with at least one expert constraint,

wherein the first composite performance variable comprises;

at least one base unit input variable;

(b) determining a value of a second composite performance variable for the plurality of base units, wherein the second composite performance variable comprises;

at least one base unit output variable;

(c) selecting at least two outstanding base units dependent on;

the value of the first composite performance variable, and

the value of the second composite performance variable;

(d) determining a peer unit based on all outstanding base units, wherein determining a peer unit comprises;

calculating output variable values for the peer unit based on the output variable values of the outstanding base units;

(e) selecting a target unit for comparison to the peer unit, wherein the target unit may be an outstanding base unit;

(f) selecting an output variable value for the target unit that corresponds to an output variable value for the peer unit; and

(g) comparing the output variable value for the target unit with the corresponding output variable value for the peer unit,

wherein steps (a), (b), (d), and (g) are performed by one or more computers.

2. The computer-implemented method of claim 1, wherein each of the plurality of base units is a power generating unit.

3. The computer-implemented method of claim 1, further comprising the steps of:

determining an output variable value range based on a confidence interval and the output variable value for the peer unit; and

determining a performance gap between the output variable value for the target unit and the output variable value range of the peer unit.

4. The computer-implemented method of claim 3, wherein the confidence interval is determined using a student T-distribution.

5. The computer-implemented method of claim 3, further comprising the step of:

graphically displaying the performance gap between the output variable value for the target unit and the output variable value range of the peer unit.

6. The computer-implemented method of claim 3, wherein the method includes an additional step of:

exporting the performance gap from the database.

7. The computer-implemented method of claim 6, wherein the exported performance gap is in the form of a report.

8. A system comprising:

a server, comprising;

a processor, and

a storage subsystem;

a database stored in the storage subsystem comprising;

unit operating data;

a computer program stored in the storage subsystem, when executed causing the processor to;

(a) determine the value of a first composite performance variable for a plurality of base units,

wherein the first composite performance variable includes at least one base unit input variable, and

wherein the computer program when executed causes the processor to perform a non-linear optimization with at least one expert constraint;

(b) determine the value of a second composite performance variable for the plurality of base units,

wherein the second composite performance variable includes at least one base unit output variable;

(c) select at least one outstanding base unit dependent on;

the value of the first composite performance variable, and

the value of the second composite performance variable;

(d) determine a peer unit based on all outstanding base units,

wherein the executed computer program causes the processor to;

calculate output variable values for the peer unit based on the output variable values of the outstanding base units;

(e) select a target unit for comparison to the peer unit, wherein the target unit may be an outstanding base unit;

(f) select an output variable value for the target unit that corresponds to an output variable value for the peer unit; and

(g) compare the output variable value for the target unit with the corresponding output variable value for the peer unit.

9. The system of claim 8, wherein each unit is a power generating unit.

10. The system of claim 8, wherein the computer program when executed causes the processor to:

determine an output variable value range based on a confidence interval and the output variable value for a peer unit; and

calculate a performance gap between the output variable value for the target unit and the output variable value range of the peer unit.

11. The system of claim 10, wherein the confidence interval is determined using a student T-distribution.

12. A system of claim 10, wherein the computer program when executed causes the processor to:

graphically display the performance gap between the output variable value for the target unit and the output variable value range of the peer unit.

13. The system of claim 10, wherein the computer program when executed causes the processor to:

export the performance gap from the database.

14. The system of claim 13, wherein the exported performance gap is in the form of a report.