公开(公告)号：US20230101023A1

公开(公告)日：2023-03-30

申请号：US17932862

申请日：2022-09-16

申请人： C3.ai, Inc.

发明人： Zhaoyang Jin ,  Mehdi Maasoumy Haghighi ,  Zeshi Zheng

IPC分类号： G06Q10/08 ,  G06F30/27 ,  G06Q30/02

摘要： A method includes identifying, using at least one processor, uncertainty distributions for multiple variables. The method also includes identifying, using the at least one processor, one or more hyperparameters. The method further includes performing, using the at least one processor, multiple simulations to simulate effects of future requests using the one or more hyperparameters and at least one of the uncertainty distributions. The simulations involve sampling of the at least one uncertainty distribution to simulate at least one uncertainty associated with at least one of the variables on the future requests. In addition, the method includes selecting, using the at least one processor, one or more of the simulated future requests.

公开(公告)号：US20230297089A1

公开(公告)日：2023-09-21

申请号：US18162587

申请日：2023-01-31

申请人： C3.ai, Inc.

发明人： Zhaoyang Jin ,  Robert S. Young ,  Gabriele Boncoraglio ,  Yimin Liu ,  Bhavya Kaushik ,  Akshay Punhani ,  Alex Amato ,  Pauline M. Brunet ,  Zhaoxi Zhang

IPC分类号： G05B19/418

CPC分类号： G05B19/41865 ,  G05B19/41885 ,  G05B2219/23448

摘要： A method includes using templates to identify constraints and terms of at least one objective function associated with at least a portion of one or more processing targets At least one of the templates is based on a resource-task network (RTN) representation of resource nodes and task nodes associated with at least the portion of the one or more processing targets. The method also includes generating one or more optimization problems, where the constraints and the at least one objective function represent at least part of the one or more optimization problems. The method further includes generating at least one candidate production schedule for at least the portion of the one or more processing targets using the one or more optimization problems.