ACCOMMODATING SCHEDULE VARIANCES IN WORK ALLOCATION FOR SHARED SERVICE DELIVERY

• US 20140278690A1
• Filed: 09/17/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Agarwal, Shivali, Chee, Yi-Min, Lee, Juhnyoung, Liu, Rong, Reddy, Vinay K., Sindhgatta, Renuka, Varshney, Lav R., Yang, Jeaha
• Application Number:
  US14/029,057
• Publication Number:
  US 20140278690A1
• Time in Patent Office: Days
• US Class Current: 705/7.22
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/063116 Schedule adjustment for a person or group
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/0633 Workflow analysis

Abstract

Accommodating schedule variance in work, in one aspect, may comprise tracking information associated with work packets; identifying one or more work packets deviating from a planned schedule based on the tracking; identifying one or more features associated with the identified one or more work packets; computing metrics associated with the one or more features; prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and recommending one or more actions to take associated with the one or more prioritized work packets.

Claims

1. A system for accommodating schedule variance in work, comprising:

a processor;

a resource and work packet tracking subsystem operable to execute on the processor and further operable to track information associated with work packets, and further operable to identify one or more work packets deviating from a planned schedule based on the tracking;

a feature processing subsystem operable to collect data associated with the identified one or more work packets and further operable to identify features associated with the identified one or more work packets, and compute metrics associated with the features;

a prioritization model operable to prioritize the identified one or more work packets based on the computed metrics of the features, the prioritization model calibrated at least based on historical data,

wherein one or more actions to take are recommended for the one or more prioritized work packets.

2. The system of claim 1, further comprising a model calibrator operable to periodically calibrate the prioritization model based on additional data collected to keep the prioritization model up-to-date and to incorporate feedback on past prioritization performed by the prioritization model.

3. The system of claim 1, further comprising a capacity planner subsystem operable to generate a new plan for the identified one or more work packets.

4. The system of claim 1, further comprising a management portal operable to provide a user interface for interaction between a user and the system for accommodating schedule variance in work.

5. The system of claim 1, wherein resource and work packet tracking subsystem identifies the one or more work packets deviating from a planned schedule based on comparing observed data during tracking with a semantic model.

6. A computer readable storage medium storing a program of instructions executable by a machine to perform a method of accommodating schedule variance in work, comprising:

tracking information associated with work packets;

identifying one or more work packets deviating from a planned schedule based on the tracking;

identifying one or more features associated with the identified one or more work packets;

computing metrics associated with the one or more features;

prioritizing the identified one or more work packets based on the computed metrics using a predictive model, the predictive model calibrated at least based on historical data; and

recommending one or more actions to take associated with the one or more prioritized work packets.

7. The computer readable storage medium of claim 6, wherein the tracking comprises tracking information associated with work packets in a global service delivery system.

8. The computer readable storage medium of claim 6, wherein the predictive model is calibrated further based on feedback from one or more users.

9. The computer readable storage medium of claim 6, wherein the predictive model is updated with up-to-date data and feedback from a user.

10. The computer readable storage medium of claim 6, wherein the tracking comprising observing status and amount of time spent associated with the work packets and comparing the observed status and amount of time with an estimation.