Workflow process method and system for iterative and dynamic command generation and dynamic task execution sequencing including external command generator and dynamic task execution sequencer

• US 20030135384A1
• Filed: 09/03/2002
• Published: 07/17/2003
• Est. Priority Date: 09/27/2001
• Status: Abandoned Application

• Current Assignee: Huy Nguyen
• Original Assignee: Huy Nguyen
• Inventors: Nguyen, Huy
• Application Number:
  US10/233,738
• Publication Number:
  US 20030135384A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management

Abstract

A computer-implemented task workflow management system is provided in which the workflow engines, the program execution means, the process execution rule and the business flow rules are external to the rule evaluator. The invention relates generally to task workflow management systems. More particularly, the present invention relates to a workflow management system which can generate dynamically and iteratively program commands to execute external tools and workflow systems, and can vary task execution sequences dynamically by applying rules to generate next goal or next activity at run time. Business process solutions can be updated automatically and dynamically in response to changes, additions or deletions in any one environment, applications program, and/or change to business data as results of prior implementation of the business solutions. The execution sequences can be dynamically and iteratively updated in response to changes as a result of prior implementation of the business solutions.

Claims

1. A computer implemented method for dynamically activating process activities and generating work process execution sequencer, comprising the steps of:

specifying at least one data source containing initial data;

specifying at least one data target for receipt of result data;

constructing a plurality of activity nodes with coupling means to the data source and data target and containing at least one set of business execution rule and one set of business flow rule;

constructing a rule evaluator according to pre-determined sets of rules;

specifying at least one activity node.

generating activity command through the rule evaluator according to pre-determined business execution rule contained in said activity node automatically by software without human intervention;

storing command output in an addressable memory area accessible to rule evaluator;

generating next activity node identification through the rule evaluator according to the business flow rules contained in said activity node automatically by software without human intervention and return evaluation output as command string; and

returning result data to data target;

2. The computer implemented method of claim 1, where the activity node comprises a data source identification, data target identification, business execution rule, default command, business flow rule, and a default set of next activity;

3. The computer implemented method of claim 1, where the business execution rule within the activity node comprises a conditional statement, an assign statement, a list of functions for accessing the output of previous activity residing in the In Memory Storage (Activity Data and Result) and a list of string manipulation functions for generating commands;

4. The computer implemented method of claim 1, where the rule evaluator pulls data from the In memory storage (data source and target) and generates activity command according to the business execution rule within an activity node automatically by software without human intervention;

5. The computer implemented method of claim 1, where the rule evaluator accesses data from the In memory storage (activity node data and result) and generates next activity identification according to the business flow rule within an activity node automatically by software without human intervention;

6. The computer implemented method of claim 1, where the process executor accesses data from the In Memory Storage (data source and target) and perform command execution step according to the activity command generated by the rule evaluator automatically by software without human intervention;

7. The computer implemented method of claim 1, where the activity node service accesses data from the In Memory Storage (activity node data and result) and perform command execution step according to the next activity command generated by the rule evaluator automatically by software without human intervention;

8. The computer implemented method of claim 1 further comprising the step of accessing data from a first activity node to generate a next activity identification which directs the Activity Node Service to specify a second activity node for the rule evaluator to generate commands automatically by software without human intervention;

9. The computer implemented method of claim 1 further comprising the step of analyzing a plurality of activity nodes in parallel through a plurality of the business solution sequences;

10. A computer-readable medium having stored thereon instructions in human readable format for causing a computer to execute dynamic work flow process application comprising:

at least one data source identification with coupling means to access data source wherein resides the data needed to generate the activity node command;

at least one data source identification with coupling means to access data source wherein resides data needed to generate next activity identification to be analyzed;

at least one data target identification with coupling means to deliver data results from the operation of the workflow process;

a plurality of activity nodes;

at least one addressable memory identification with coupling means to access initial data;

at least one addressable memory identification with coupling means to deliver and coupling means to access data generated from the operation of the workflow process;

at least one set of business execution instruction rule set for generating command for each activity node automatically by software without human intervention and having a default rule set;

at least one set of business flow instruction rule set for generating the identification of the activity node to be analyzed automatically by software without human intervention and having a default rule set; and

one rule evaluator constructed according to pre-determined set of rules;

11. The computer-readable medium of claim 10 further comprising at least one data source and data target loader component to implement the loading of activity node data into memory for each activity node automatically by software without human intervention;

12. The computer readable medium of claim 10 further comprising of a dynamic activity management engine component, activity node service component, and activity rule evaluator;

13. The computer readable medium of claim 10 where the activity rule evaluator and the business execution rule component generate the activity node command execution automatically by software without human intervention;

14. The computer readable medium of claim 10 where the activity rule evaluator and the business execution rule component generate the next activity node command automatically by software without human intervention.