SYSTEM AND METHOD FOR MANAGING INHERENT PROJECT UNCERTAINTY

• US 20090055237A1
• Filed: 08/23/2007
• Published: 02/26/2009
• Est. Priority Date: 08/23/2007
• Status: Abandoned Application

• Current Assignee: LiquidPlanner, Inc.
• Original Assignee: LiquidPlanner, Inc.
• Inventors: Seybold, Charles A., Wilkerson, Bryan, Carlson, Jason, Henry, Bruce P.
• Application Number:
  US11/844,219
• Publication Number:
  US 20090055237A1
• Time in Patent Office: Days
• US Class Current: 705/8
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063116 Schedule adjustment for a person or group
• CPC Class Codes: G06Q 10/063118 Staff planning in a project environment
• CPC Class Codes: G06Q 10/1097 Task assignment

Abstract

A software and/or hardware facility for managing project schedules having inherent uncertainty. The facility allows users to create hierarchical data structures to model projects and other collective efforts. The hierarchical data structures contain work items that can represent tasks, collections of tasks and collections of collections and tasks. Each work item can have associated with it an estimate provided by a user, such as a ranged estimate of the amount of work remaining before the work item is completed. Based at least in part on the provided estimate, the facility can calculate expected start and finish dates for each work item. By calculating expected start and finish dates for all or most of the work items in a project, the facility is able to calculate an expected end date for the entire project. By basing the calculation on ranged estimates, the facility can account for the uncertainty inherent in projects.

Claims

1. A method of calculating a schedule for a project comprised of a plurality of tasks, the method comprising:

receiving from a user a definition for at least some of a plurality of tasks comprising a project, the received definition for a task comprising a task identifier, a relationship to at least one other of the plurality of tasks, and a range of work associated with the task;

applying a statistical model to estimate an expected task completion date for each of the plurality of tasks having a definition, wherein the statistical model is applied to the range of work associated with a task and the expected task completion date reflects a date by which the associated task will likely be completed; and

utilizing the expected task completion date for each of the plurality of tasks having a definition to calculate a schedule for the project.

2. The method of claim 1, wherein the statistical model is a normal distribution.

3. The method of claim 2, wherein the normal distribution has a mean and the calculation of the expected task completion date is based at least in part on the mean of the normal distribution.

4. The method of claim 1, further comprising calculating an earliest expected finish and a latest expected finish for each of the plurality of tasks using the statistical model.

5. The method of claim 4 wherein the earliest expected finish and the latest expected finish represent an 80% confidence level.

6. The method of claim 4, wherein the statistical model is a normal distribution and the calculation of the earliest expected finish and the latest expected finish is based at least in part on values given by 1.3 standard deviations from the mean of the normal distribution.

7. The method of claim 1, wherein the range of work is specified by an amount of time estimated to complete the task.

8. The method of claim 1, wherein the range of work is specified by an amount of money estimated to complete the task.

9. The method of claim 1, wherein the range of work is specified by an indication of effort estimated to complete the task.

10. The method of claim 1, wherein the range of work further includes a confidence factor.

11. The method of claim 1, further comprising calculating an expected finish for the project, wherein the expected finish for the project depends at least in part on the expected task completion dates of the plurality of tasks comprising the project.

12. The method of claim 1, further comprising:

receiving an updated range of work from the user regarding a task; and

applying the statistical model to estimate the expected task completion date for the task based on the updated range of work.

13. The method of claim 12, further comprising using the updated estimate of the expected task completion date to revise the schedule for the project.

14. The method of claim 1, wherein a relationship between two tasks is the tasks are performed in parallel.

15. The method of claim 1, wherein a relationship between two tasks is the tasks are performed in series.

16. The method of claim 1, wherein a relationship between two tasks is determined by a time associated with each task.

17. The method of claim 1, wherein a relationship between two tasks is determined by an order associated with each task.

18. The method of claim 1, wherein at least two of the plurality of tasks are assigned to an individual, and a relationship between the two tasks is determined by the workload of the individual.

19. The method of claim 1, wherein the range of work includes a low estimate and a high estimate of the work associated with the task.

20. The method of claim 1, wherein the statistical model is one of a normal distribution, a beta distribution, or a log-normal distribution.

21. The method of claim 20, wherein different statistical models are applied to estimate an expected task completion date for at least two of the plurality of tasks having a definition.

22. A system for managing a schedule of a project comprised of a plurality of tasks, the system comprising:

in input module for receiving from a user a definition for at least some of a plurality of tasks comprising a project, the received definition for a task comprising a task identifier, a relationship to at least one other of the plurality of tasks, and a range of work associated with the task;

a task estimation module for applying a statistical model to estimate an expected task completion date for each of the plurality of tasks having a definition, wherein the statistical model is applied to the range of work associated with a task and the expected task completion date reflects a date by which the associated task will likely be completed;

a project estimation module for utilizing the expected task completion date for each of the plurality of tasks having a definition to calculate a schedule for the project; and

a presentation module for displaying the schedule for the project to the user in a manner that depicts at least some of the relationships between the plurality of tasks comprising the project.

23. The system of claim 22, wherein the statistical model is a normal distribution.

24. The system of claim 23, wherein the normal distribution has a mean and the calculation of the expected task completion date is based at least in part on the mean of the normal distribution.

25. The system of claim 22, wherein the task estimation module further calculates an earliest expected finish and a latest expected finish for each of the plurality of tasks using the statistical model.

26. The system of claim 25 wherein the earliest expected finish and the latest expected finish represent an 80% confidence level.

27. The system of claim 25, wherein the statistical model is a normal distribution and the calculation of the earliest expected finish and the latest expected finish is based at least in part on values given by 1.3 standard deviations from the mean of the normal distribution.

28. The system of claim 22, wherein the range of work is specified by an amount of time estimated to complete the task.

29. The system of claim 22, wherein the range of work is specified by an amount of money estimated to complete the task.

30. The system of claim 22, wherein the range of work is specified by an indication of effort estimated to complete the task.

31. The system of claim 22, wherein the range of work further includes a confidence factor.

32. The system of claim 22, wherein the project estimation module further calculates an expected finish for the project, wherein the expected finish for the project depends at least in part on the expected task completion dates of the plurality of tasks comprising the project.

33. The system of claim 22, wherein the input module receives an updated range of work from the user regarding a task, and the task estimation module applies the statistical model to estimate the expected task completion date for the task based on the updated range of work.

34. The system of claim 33, wherein the project estimation module uses the updated estimate of the expected task completion date to revise the schedule for the project.

35. The system of claim 22, wherein a relationship between two tasks is the tasks are performed in parallel.

36. The system of claim 22, wherein a relationship between two tasks is the tasks are performed in series.

37. The system of claim 22, wherein a relationship between two tasks is determined by a time associated with each task.

38. The system of claim 22, wherein a relationship between two tasks is determined by an order associated with each task.

39. The system of claim 22, wherein at least two of the plurality of tasks are assigned to an individual, and a relationship between the two tasks is determined by the workload of the individual.

40. The system of claim 22, wherein the range of work includes a low estimate and a high estimate of the work associated with the task.

41. The system of claim 22, wherein the statistical model is one of a normal distribution, a beta distribution, or a log-normal distribution.

42. The method of claim 22, wherein different statistical models are applied to estimate an expected task completion date for at least two of the plurality of tasks having a definition.

43. A computer-readable medium whose contents cause a computing system to perform a method of calculating a schedule for a project comprised of a plurality of tasks, the method comprising:

receiving from a user a definition for at least some of a plurality of tasks comprising a project, the received definition for a task comprising a task identifier, a relationship to at least one other of the plurality of tasks, and a range of work associated with the task;

applying a statistical model to estimate an expected task completion date for each of the plurality of tasks having a definition, wherein the statistical model is applied to the range of work associated with a task and the expected task completion date reflects a date by which the associated task will likely be completed; and

utilizing the expected task completion date for each of the plurality of tasks having a definition to calculate a schedule for the project.

44. The computer-readable medium of claim 43, wherein the statistical model is any one of a normal distribution, a beta distribution, or a log-normal distribution.

45. The computer-readable medium of claim 43, wherein the range of work is specified by an amount of time estimated to complete the task.