GOAL PROGRAMMING APPROACH FOR OPTIMAL BUDGET ALLOCATION FOR NATIONAL ANALYSIS OF WILDLAND FIRE MANAGEMENT

• US 20110213730A1
• Filed: 03/01/2010
• Published: 09/01/2011
• Est. Priority Date: 03/01/2010
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kumar, Tarun, Carty, Steven M., Liu, Yan, Parija, Gyana R.
• Application Number:
  US12/714,935
• Publication Number:
  US 20110213730A1
• Time in Patent Office: Days
• US Class Current: 705/348
• 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 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

A method for allocating resources in a business model includes determining a plurality of goals for a specified business problem. A plurality of data parameters are extracted from the goals into a computer program and read by a computer. The data parameters represent each of the goals. The data parameters are analyzed to develop a problem set representing the data parameters. Target criteria are input into the computer program, and the target criteria relates to each of the goals and may include prioritizing and/or attributing a weight to each goal. A solution instruction set is developed using the target criteria and the problem set. A solution model is developed from the solution instruction set. The steps of inputting target criteria, developing the solution instruction set, and developing the solution model are repeated to develop additional solution models and an optimal solution model can ultimately be selected.

Claims

1. A method for allocating resources in a business model, comprising:

determining a plurality of goals for a specified business problem;

extracting a plurality of data parameters from the goals into a computer program embodied in a computer readable medium read by a computer, the data parameters representing each of the goals;

analyzing the data parameters representing each of the plurality of goals to develop a problem set representing the data parameters;

inputting target criteria into the computer program, the target criteria relating to each of the goals;

developing a solution instruction set using the target criteria and the problem set;

developing a solution model from the solution instruction set;

repeating the steps of inputting target criteria, developing the solution instruction set, and developing the solution model to develop additional solution models; and

selecting an optimal solution model.

2. The method of claim 1, wherein the target criteria includes assigning a priority to each goal.

3. The method of claim 1, wherein the target criteria includes assigning a weight of importance to each goal.

4. The method of claim 1, wherein the target criteria includes assigning a priority and a weight of importance to each goal.

5. The method of claim 1, wherein the data parameters include cost limits and time constraints.

6. The method of claim 1, wherein analyzing the data parameters includes using a regression analysis.

7. A computer program product comprising a computer readable medium having recorded thereon a computer program for enabling a processor in a computer system for allocating resources in a business model, the computer program performing the steps of:

determining a plurality of goals for a specified business problem;

inputting a plurality of data parameters into a computer program embodied in a computer readable medium read by a computer, the data parameters representing each of the goals;

analyzing the data parameters representing each of the plurality of goals to develop a problem set representing the data parameters;

inputting target criteria into the computer program, the target criteria relating to each of the goals;

developing a solution instruction set using the target criteria and the problem set;

developing a solution model from the solution instruction set;

repeating the steps of inputting target criteria, developing the solution instruction set, and developing the solution model to develop additional solution models; and

selecting an optimal solution model.

8. The method of claim 7, wherein the target criteria includes assigning a priority to each goal.

9. The method of claim 7, wherein the target criteria includes assigning a weight of importance to each goal.

10. The method of claim 7, wherein the target criteria includes assigning a priority and a weight of importance to each goal.

11. The method of claim 7, wherein the data parameters include cost limits and time constraints.

12. The method of claim 7, wherein analyzing the data parameters includes using a regression analysis.