Value driven integrated build-to-buy decision analysis system and method

• US 7,797,185 B2
• Filed: 07/26/2006
• Issued: 09/14/2010
• Est. Priority Date: 11/03/2000
• Status: Expired due to Fees

• Current Assignee: Mydecide Incorporated
• Original Assignee: Mydecide Incorporated
• Inventors: Amos, John, Korver, Clinton, Belkora, Jeffrey, Weller, Katherine Ann
• Primary Examiner(s): Rosen; Nicholas D
• Application Number:
  US11/493,011
• Publication Number:
  US 20060265276A1
• Time in Patent Office: 1,511 Days
• Field of Search: 705/10, 705/26, 705/80
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0605 Supply or demand aggregation
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 50/188 Electronic negotiation

Abstract

A value-driven build-to-buy decision analysis system and method is provided that addresses and integrates the system analysis for multiple parts of the build-to-buy business cycle. The system and method of the present invention includes a demand component and a supply component. The demand component includes decision analysis components for one or more demand oriented activities in the build-to-buy cycle, such as selling and buying activities. The supply component includes decision analysis components for one or more supply oriented activities in the build-to-buy cycle, such as product creation, product packaging and product pricing activities. Each decision analysis component utilizes values-based object-oriented analytical models.

Claims

1. A computer-implemented decision analysis system that facilitates decision, the system comprising:

one or more processors configured to execute computer program modules, the computer program modules comprising;

a first module configured to create a demand component comprising at least one demand-oriented, values-based decision analysis component, the demand component being based on;

i) a set of product characteristics and qualities;

ii) a set of aggregated product demand values associated with a set of buyers and resulting from the set of product characteristics and qualities, and a quantifiable metric associated with each aggregated product demand value, wherein the individual aggregated product demand values are determined by aggregating corresponding product demand values of the different buyers in the set of buyers;

iii) a set of aggregated buyer demand values associated with the set of buyers and predetermined for the set of buyers independent of the product characteristics and qualities, and a quantifiable metric associated with each aggregated buyer demand value in the set of aggregated buyer demand values, wherein the individual aggregated buyer values are determined by aggregating corresponding buyer demand values of the different buyers in the set of buyers;

iv) a set of demand value tradeoffs indicating how the set of buyers would trade one aggregated product demand value for another aggregated product demand value;

v) a set of demand information components, each defined in terms of a probability or a probability distribution; and

vi) a set of buyer alternatives that represent at least one products the set of buyers are individually capable of purchasing;

a second module configured to create a build component comprising at least one supply-oriented, values-based decision analysis component, the build component being based on;

i) a set of product supply values associated with a seller and resulting from the set of product characteristics and qualities, and a quantifiable metric associated with each product supply value;

ii) a set of seller supply values associated with the seller and determined for the seller independent of the product characteristics and qualities, and a quantifiable metric associated with each seller supply value;

iii) a set of supply value tradeoffs showing how the seller would trade one product supply value for another product supply value;

iv) a set of seller information components, each defined in terms of a probability or a probability distribution; and

v) a set of seller alternatives that represent products the seller is capable of selling;

a third module configured to combine the aggregated product demand values, the aggregated buyer demand values, the product supply values, the seller supply values, the demand value tradeoffs, the supply value tradeoffs, the buyer information components and the seller information components to evaluate risk and return characteristics of the buyer alternatives and the seller alternatives; and

a fourth module configured to perform sensitivity analysis to show how the risk and return characteristics of the seller alternatives change as one or more of the aggregated product demand values, the aggregated buyer demand values the product supply values, the demand value tradeoffs, the supply value tradeoffs, the buyer information components or the seller information components change.

2. The system of claim 1, wherein the demand component, and the supply component each comprises at least one object-oriented analytical model that shows both graphically and mathematically how the aggregated demand values, the supply values, the buyer information components and the seller information components are related in order to calculate the demand value tradeoffs, the supply value tradeoffs, risk and return.

3. The system of claim 2, wherein each object-oriented analytical model collects user information, is further configured to assist individual users in the set of users in a commercial decision making process, and is able to share the user information with other object-oriented analytical models, wherein user information collected includes at least value assessments, value tradeoffs, probability assessments, alternatives considered, and alternatives selected.

4. The system of claim 1, wherein the product characteristics and qualities refer to the characteristics and qualities of a product that includes a good and/or a service.

5. The system of claim 1, wherein the build component is configured to assist a user in determining products to build.

6. The system of claim 1, wherein the build component comprises an object-oriented analytical model.

7. The system of claim 1, wherein a feedback loops is created so that demand information gathered by the demand component in the process of helping individual buyers in the set of buyers make purchase decisions is utilized by the supply component, and supply information gathered by the supply component in the process of helping the seller make or build products is utilized by the demand component.