Process Analyzer

• US 20100004916A1
• Filed: 07/03/2008
• Published: 01/07/2010
• Est. Priority Date: 07/03/2008
• Status: Abandoned Application

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Stauder, Thomas G, Schreiber, Robert J., Haas, Martin C.
• Application Number:
  US12/167,810
• Publication Number:
  US 20100004916A1
• Time in Patent Office: Days
• US Class Current: 703/17
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

Techniques for performing discrete event process simulations are described. A first software module receives production process data and configures the data into a precedence format. The precedence data is then provided to a second software module which modifies the precedence data by introducing variability into the data. A third software module is then selected based on whether processing speed or graphics capability is desired. The selected third software module then performs a discrete event process simulation using the modified data. The results of the discrete event simulation are then provided to the second software module which presents results of the simulation to the user.

Claims

1. A method of analyzing a production process comprising:

receiving process data and resource data from a first software application;

importing the process data and resource data into a second software application, the second software application configured to edit the process data and resource data;

selecting a discrete event simulation engine based on processing speed or graphics capability;

creating a simulation model by populating the selected discrete event simulation engine with the edited process data and resource data from the second software application;

running the simulation model in accordance with the edited process data and resource data to create output data; and

transferring the output data to the second software application for presentation to a user.

2. A method as recited in claim 1, wherein the process data and resource data are received in a precedence format.

3. A method as recited in claim 1, wherein the process data comprises a plurality of tasks, each task having an associated probability that the task will be perform as part of a process flow and a time associated with performing the task.

4. A method as recited in claim 1, wherein the discrete event simulation engine comprises a high speed discrete event simulation engine or a discrete event simulation with graphics capability.

5. A method as recited in claim 1, wherein the process data and resource data are edited by introducing variability into the data.

6. A method as recited in claim 5, wherein variability is introduced into the data by varying one or more of a task relationship, a cycle time, and a resource.

7. A method as recited in claim 1, wherein the simulation model is run based on a release driven schedule, a uniform inter-arrival schedule, or a single release batch operation.

8. A method as recited in claim 1, further comprising processing the process data and resource data with a third software application to create a flat data file and transferring the flat data file to the selected discrete event simulation engine.

9. A method as recited in claim 1, further comprising transferring the output data from the second software application to a third software application to analyze and/or present the output data.

10. A method as recited in claim 1, further comprising transferring the process data to a database where query tables are populated to create the discrete event simulation model.

11. A method as recited in claim 10, further comprising drawing data from the query tables to populate the discrete event simulation model.

12. A computer-readable storage medium, comprising computer-executable instructions that when executed by a computer processor performs a method comprising:

receiving process data for a production process from a first software application;

editing the process data by introducing variability into the process data with a second software application;

selecting a discrete event simulation engine based on processing speed or graphics capability;

creating a simulation model by populating the selected discrete event simulation engine with the edited process data;

running the simulation model to simulate the production process; and

transferring at least one output file to the second software application for presentation to a user.

13. A computer readable storage medium as recited in claim 12, wherein the process data is received as a precedence diagram.

14. A computer readable storage medium as recited in claim 12, wherein the process data comprises a plurality of tasks, each task having an associated probability that the task will be performed as part of a process flow and a time associated with performing the task.

15. A computer readable storage medium as recited in claim 12, wherein the discrete event simulation engine comprises a high speed discrete event simulation engine or a discrete event simulation with graphics capability.

16. A computer readable storage medium as recited in claim 12, wherein variability is introduced into the process data by varying a task relationship, a cycle time, or a resource.

17. A system for analyzing a production process, comprising:

a first software module configured to receive production process data and format the production process data into a precedence format;

a second software module configured to receive the precedence data and modify it by introducing variability into the precedence data; and

a third software module configured to receive the modified precedence data and perform a discrete event simulation, wherein the third software module is selected based on the software module'"'"'s processing speed or graphics capability.

18. A system as recited in claim 17, wherein the production process data is received as a precedence diagram.

19. A system as recited in claim 17, wherein the production process data comprises a plurality of tasks, each task having an associated probability that the task will be perform as part of a process flow and a time associated with performing the task.

20. A system as recited in claim 17, further comprising a forth software module to present at least one result from the discrete event simulation to a user.