公开(公告)号：US10997530B2

公开(公告)日：2021-05-04

申请号：US15637677

申请日：2017-06-29

Applicant: General Electric Company

Inventor： Srinivas Bollapragada ,  Christopher Donald Johnson ,  Bex Thomas ,  Dianne Chace

IPC: G06Q10/06 ,  G06Q10/04

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.

公开(公告)号：US20170308823A1

公开(公告)日：2017-10-26

申请号：US15637677

申请日：2017-06-29

Applicant: General Electric Company

Inventor： Srinivas Bollapragada ,  Christopher Donald Johnson ,  Bex Thomas ,  Dianne Chace

IPC: G06Q10/04 ,  G06Q10/06

CPC classification number: G06Q10/043 ,  G06Q10/0631

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.