Resource Modeling Tool
AssigneeBank of America Corporation
InventorsCatharine P. Train, Theresa M. Jones, Charles C. Reiney
Life of this patent
Estimating the term…
Abstract
A method and apparatus for allowing a user to model the level of resources required by resource type to support a specific funding level. The model is based on a plurality of factors such as resource rates per hour, amount of resources burned monthly, and the current level of resource staffing. The model allows a user to quickly view “what if” funding scenarios and may further be utilized to determine the level of funding that can be effectively utilized by anticipating the number of resources needed to support the funding level.
Claims21
A computer-implemented method comprising:
- receiving a request to generate a first graphical model for modeling human resources based on at least a funding pool and a number of each human resource type supportable by the funding pool;
- receiving information defining a scope of the first graphical model, wherein the scope includes a time-frame for which the first graphical model is to span and a desired interval of modeling within the time-frame;
- receiving data corresponding to one or more variables associated with the first graphical model;
- determining a variable in the first graphical model not having a value, the variable being one of:
- a funding pool corresponding to the time-frame of which the first graphical model spans, and a number for each human resource type within the scope supportable by the funding pool;
- calculating the value for the determined variable, wherein the calculated value is based on at least one of:
- a predetermined equation and a default value;
- and
- generating the first graphical model based on the variable values.
An apparatus comprising:
- a processor;
- and,
- a memory operatively coupled to the processor and storing computer-readable instructions, that when executed, cause the apparatus to:
- receive a request to generate a first graphical model for modeling human resources based on at least a funding pool and a number of each human resource type supportable by the funding pool;
- receive information defining a scope of the first graphical model, wherein the scope includes a time-frame for which the first graphical model is to span and a desired interval of modeling within the time-frame;
- receive data corresponding to one or more variables associated with the first graphical model;
- determine a variable in the first graphical model not having a value, the variable being one of:
- a funding pool corresponding to the time-frame of which the first graphical model spans, and a number for each human resource type within the scope supportable by the funding pool;
- calculate the value for the determined variable, wherein the calculated value is based on at least one of:
- a predetermined equation and a default value;
- and
- generate the first graphical model based on the variable values.
One or more computer-readable media storing instructions that when executed by a processor perform a method comprising:
- receiving a request to generate a first graphical model for modeling human resources based on at least a funding pool and a number of each human resource type supportable by the funding pool;
- receiving information defining a scope of the first graphical model, wherein the scope includes a time-frame for which the first graphical model is to span and a desired interval of modeling within the time-frame;
- receiving data corresponding to one or more variables associated with the first graphical model;
- determining a variable in the first graphical model not having a value, the variable being one of:
- a funding pool corresponding to the time-frame of which the first graphical model spans, and a number for each human resource type within the scope supportable by the funding pool;
- calculating the value for the determined variable, wherein the calculated value is based on at least one of:
- a predetermined equation and a default value;
- and
- generating the first graphical model based on the variable values.
Dependencies are inferred from the claim text.