IP Library Granted Patent US 11,610,163
Granted Patent B2
US 11,610,163 · App. 17/827,940 · Granted Mar 21, 2023

System and method of schedule optimization for long-range staff planning

Inventors: Jon Edward Sager (Conifer, CO); Dan Morris (Cleveland, GA); Alun Jones (Scottsdale, AZ)
Assignee: Blue Yonder Group, Inc.
G06Q10/063116G06Q10/067G06Q10/1053G06Q10/06315
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Quick Facts
Patent No.
US 11,610,163
App. No.
17/827,940
Granted
Mar 21, 2023
Kind
B2
Abstract

A system and method are disclosed for determining long-range staff planning. Embodiments include determining a baseline measurement of labor needs over a time period of one or more employees at one or more entities and modifying the baseline measurement of the labor needs over the time period based on one or more constraints that allow the one or more employees to work additional types of labor needs at the one or more entities. Embodiments further include determining working times and job assignments of the one or more employees based on one or more simulated employees that represent potential employees to the modified baseline measurement of the labor needs over the time period and storing the determined working times and job assignments in the database for the one or more employees at the one or more entities.

Claims (63)

1. A system of determining long-range staff planning, comprising:

a database comprising data representing one or more employees and one or more sites;

a computer coupled with the database and comprising one or more processors and one or more memory units to execute instructions to:

create a long-range staff planning model of labor demand over a time period of the one or more employees at the one or more sites;

determine a baseline measurement of the long-range staff planning model of labor demand;

modify the baseline measurement of the labor demand over the time period based on one or more constraints that allow the one or more employees to work additional roles at the one or more sites and including one or more simulated employees that represent potentially hired employees;

determine working times and job assignments for the one or more employees and the one or more simulated employees based on the modified baseline measurement of the labor demand;

identify one or more hiring suggestions for the one or more sites;

store the determined working times and job assignments in the database for the one or more employees at the one or more sites; and

display, on a display associated with the computer, the at least one hiring suggestion.

2. The system of claim 1 , wherein the computer further executes instructions to:

validate each of the one or more constraints; and

report any violation of the one or more constraints.

3. The system of claim 1 , wherein the computer further executes instructions to:

display either a graph view or a grid view of labor coverage and demand.

4. The system of claim 1 , wherein the computer further executes instructions to:

identify one or more hiring suggestions for the one or more sites by selecting at least one hiring suggestion of the one or more hiring suggestions that minimize penalties associated with the working times and the job assignments for the one or more employees and the one or more simulated employees.

5. The system of claim 4 , wherein the penalties further comprise assigning points based on one or more of:

hiring suggestions, cross training suggestions, failing to fill a role predicted by a labor forecast, filling a role not predicted by a labor forecast, scheduling an employee to work when not assigned to a role and an employee working whether assigned to a role or not.

6. The system of claim 1 , wherein the one or more constraints further comprise one or more of:

laws, regulations, and contracts.

7. The system of claim 1 , wherein the computer further executes instructions to:

display the at least one hiring suggestion in an order of priority, wherein the highest priority is associated with a lowest calculated penalty.

8. A computer-implemented method of determining a long-range staff plan, comprising:

creating, by a computer coupled with a database, the computer comprising one or more processors and one or more memory units, and the database comprising data representing one or more employees and one or more sites, a long-range staff planning model of labor demand over a time period of the one or more employees at the one or more sites;

determining, by the computer, a baseline measurement of the long-range staff planning model of labor demand;

modifying, by the computer, the baseline measurement of the labor demand over the time period based on one or more constraints that allow the one or more employees to work additional roles at the one or more sites and including one or more simulated employees that represent potentially hired employees;

determining, by the computer, working times and job assignments for the one or more employees and the one or more simulated employees based on the modified baseline measurement of the labor demand;

identifying, by the computer, one or more hiring suggestions for the one or more sites;

storing, by the computer, the determined working times and job assignments in the database for the one or more employees at the one or more sites; and

display, by the computer on a display associated with the computer, the at least one hiring suggestion.

9. The method of claim 8 , further comprising:

validating, by the computer, each of the one or more constraints; and

reporting, by the computer, any violation of the one or more constraints.

10. The method of claim 8 , further comprising:

displaying, by the computer, either a graph view or a grid view of labor coverage and demand.

11. The method of claim 8 , further comprising:

identifying, by the computer, one or more hiring suggestions for the one or more sites by selecting at least one hiring suggestion of the one or more hiring suggestions that minimize penalties associated with the working times and the job assignments for the one or more employees and the one or more simulated employees.

12. The method of claim 11 , wherein the penalties further comprise assigning points, by the computer, based on one or more of:

hiring suggestions, cross training suggestions, failing to fill a role predicted by a labor forecast, filling a role not predicted by a labor forecast, scheduling an employee to work when not assigned to a role and an employee working whether assigned to a role or not.

13. The method of claim 8 , wherein the one or more constraints further comprise one or more of:

laws, regulations, and contracts.

14. The method of claim 8 , further comprising:

displaying, by the computer, the at least one hiring suggestion in an order of priority, wherein the highest priority is associated with a lowest calculated penalty.

15. A non-transitory computer-readable medium comprising software, the software when executed:

creates a long-range staff planning model of labor demand over a time period of the one or more employees at the one or more sites;

determines a baseline measurement of the long-range staff planning model of labor demand;

modifies the baseline measurement of the labor demand over the time period based on one or more constraints that allow the one or more employees to work additional roles at the one or more sites and including one or more simulated employees that represent potentially hired employees;

determines working times and job assignments for the one or more employees and the one or more simulated employees based on the modified baseline measurement of the labor demand;

identifies one or more hiring suggestions for the one or more sites;

stores the determined working times and job assignments in the database for the one or more employees at the one or more sites; and

displays, on a display, the at least one hiring suggestion.

16. The non-transitory computer-readable medium of claim 15 , wherein the software when executed further:

validates each of the one or more constraints; and

reports any violation of the one or more constraints.

17. The non-transitory computer-readable medium of claim 15 , wherein the software when executed further:

displays either a graph view or a grid view of labor coverage and demand.

18. The non-transitory computer-readable medium of claim 15 , wherein the software when executed further:

identifies one or more hiring suggestions for the one or more sites by selecting at least one hiring suggestion of the one or more hiring suggestions that minimize penalties associated with the working times and the job assignments for the one or more employees and the one or more simulated employees.

19. The non-transitory computer-readable medium of claim 18 , wherein the penalties further comprise assigning points based on one or more of:

hiring suggestions, cross training suggestions, failing to fill a role predicted by a labor forecast, filling a role not predicted by a labor forecast, scheduling an employee to work when not assigned to a role and an employee working whether assigned to a role or not.

20. The non-transitory computer-readable medium of claim 15 , wherein the software when executed further:

displays the at least one hiring suggestion in an order of priority, wherein the highest priority is associated with a lowest calculated penalty.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 15, 2023
From: SAGER, JON EDWARD; MORRIS, DAN
To: JDA SOFTWARE GROUP, INC.
Reel/Frame 062708/0883 →
CHANGE OF NAME Recorded Feb 15, 2023
From: JDA SOFTWARE GROUP, INC.
To: BLUE YONDER GROUP, INC.
Reel/Frame 062761/0046 →
Continuity (4)
Continuation 17007992 · Aug 31, 2020
Continuation 15823298 · Nov 27, 2017
Provisional Application 62427025 · Nov 28, 2016
Related Publication 20220292433A1 · Sep 15, 2022