Decision dynamics

• US 7,117,161 B2
• Filed: 03/29/2001
• Issued: 10/03/2006
• Est. Priority Date: 08/21/2000
• Status: Expired due to Fees

• Current Assignee: Elisa M. Bruce
• Original Assignee: Elisa M. Bruce
• Inventors: Bruce, Elisa M.
• Primary Examiner(s): Hafiz, Tariq R.
• Assistant Examiner(s): TARAE, CATHERINE MICHELLE
• Application Number:
  US09/819,975
• Publication Number:
  US 20020049621A1
• Time in Patent Office: 2,014 Days
• Field of Search: 705 7- 10
• US Class Current: 705/7.26
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

The invention is a method and a system for analyzing a process in terms of the elements that are the drivers of the process. The invention evaluates a process in terms of one or more scheduling drivers and process drivers, measures the metrics around the drivers and relates the measured values to key performance indicators of the drivers and the overall process. The metrics of the drivers can be correlated to past performance to determine if the attributes of the drivers being measures should be changed. The invention is appropriate for evaluating the processes of an business organization where the processes can be defined by one of the five process flows of the invention.

Claims

1. A method of controlling a process having activities to achieve desired goals, to method comprising the steps of:

providing a computer for coordinating the method steps;

mapping the activities, with each activity having a scheduling component and an operational component, based on their time scheduling relative to each other, wherein an activity map will organize activities based on the relative importance or the scheduling component versus the operational component for each activity and the relative importance of scheduling/operation is selected from the group consisting of;

80–

100%/0–

20%;

65–

80%/20–

35%;

50%/50%;

20–

35%/65–

80% and 0–

20%/80–

100%;

determining at least one scheduling driver, that which affects the start and duration of an activity, of the activities;

measuring the metrics of the at least one scheduling driver;

determining at least one operations driver, that which affects the work done by an activity, of the activities;

measuring the metrics of the at least one operations driver;

evaluating driver metric data accounting for the relative effects of the at least one scheduling driver and the at least one operations driver on the process to determine which attributes of the drivers and which drivers create a predictive equation for the response of the process; and

controlling the process by using the evaluation of the driver metrics as feedback for controlling the currently selected drivers and to predict and select new drivers, if new drivers can affect the scheduling and performance greater than the currently selected drivers, such that the desired goals of the process are achieved.

2. The method of claim 1, wherein the scheduling driver is derived by determining what one or more members of the group of attributes consisting of activities, resources, input entities, output entities and controls, most significantly affect the scheduling of activities within a process.

3. The method of claim 1, wherein driver metrics are measured by measuring the metrics of the attributes of the driver which are considered to be the selection criteria of the driver.

4. The method of claim 1, wherein the operations driver is derived by determining what one or more members of the group of attributes consisting of activities, resources, input entities, output entities and controls, most significantly affect the operation metrics of the process.

5. The method of claim 1, wherein evaluating driver metrics further comprises evaluating the driver metrics measured directly as well as evaluating the driver metrics as they relate to the metrics of the overall process.

6. The method of claim 1, wherein controlling the process is done be controlling driven which directly affect the overall process.

7. A method of controlling a process of an organization having activities to achieve desired goals, the method comprising the steps of:

providing a computer for coordinating the method steps;

mapping the activities, with each activity having a scheduling component and an operational component, based on their time scheduling relative to each other, wherein an activity map will organize activities based on the relative importance of the scheduling component versus the operational component for each activity and the relative importance of scheduling/operation is selected from the group consisting of;

80–

100%/0–

20%;

65–

80%/20–

35%;

50%/50%;

20–

35%/65–

80% and 0–

20%/80–

100%;

determining at least one scheduling driver, that which affects the start and duration of an activity, of the activities by determining what entity or entities affect the metrics of the scheduling of the activities by 50% or more;

measuring the metrics, which are time, cost and quality, of the at least one scheduling driver;

determining at least one operations driver, that which affects the work done by an activity, of the activities by determining what resource or resources affect the metrics of the operation of the activities by 50% or more;

measuring the metrics, which are time, cost and quality, of the at least one operations driver;

evaluating driver metric data accounting for the relative effects of the at least one scheduling driver and the at least one operations driver on the process to determine which attributes of the drivers and which drivers create a predictive equation for the response of the process; and

controlling the process by using the evaluation of the driver metrics as feedback for controlling the currently selected drivers, which affect the scheduling or operation of activities by 50% or more and to predict and select new drivers, if new drivers can affect the scheduling and performance greater than the currently selected drivers, such that the desired goals of the process are achieved.

8. The method of claim 7, wherein driver metrics are measured by measuring the metrics of the attributes of the driver which are considered to be the selection criteria of the driver.

9. The method of claim 7, wherein evaluating driver metrics further comprises evaluating the driver metrics measured directly as well as evaluating the driver metrics as they relate to the metrics of the overall process.

10. The method of claim 7, wherein controlling the process is done be controlling drivers which directly affect the overall process.

11. The method of claim 7, wherein the process is the dominant process of the organization.

12. The method of claim 7, wherein the method further comprises evaluating the correlation of the scheduling driver and the operations driver of a process to past performance to determine if different attributes of the scheduling driver or the operations drivers should be measured.