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AssigneeThe Trustees of Princeton University
InventorsChristodoulos Floudas, Stacy Janak, Martin Taylor, Maria Burka, T. J. Mountziaris
Estimating the term…
A system and method for optimally assigning groups of individuals to tasks, and in particular, a system and method for optimally assigning panels of reviewers to proposals, is disclosed. Information about an assignment problem to be solved acquired, such as the number of available reviewers in each panel, the number of proposals in each panel, reviewer preferences, and optional assignment rules. After data acquisition, a first modeling algorithm having at least one assignment constraint is applied to the acquired data a first modeled assignment scenario. A determination is made as to whether the modeled assignment scenario is feasible. If the modeled assignment is infeasible, a second modeling algorithm is applied to the acquired data to produce a second modeled assignment scenario, wherein one or more constraints to be violated (relaxed) to produce a more feasible outcome. After modeling, the results are displayed to the user and represent a suggested optimal assignment of individuals to tasks.
A method for optimally assigning a plurality of individuals to a plurality of tasks, comprising:
A system for optimally assigning a plurality of individuals to a plurality of tasks, comprising:
The system of claim 18, wherein the acquired information comprises information about proposals to be reviewed by the panel of reviewers.
The system of claim 24, wherein the second modeling algorithm further comprises a modified version of the objective function for producing a feasible assignment.
Dependencies are inferred from the claim text.