公开(公告)号：US20200265733A1

公开(公告)日：2020-08-20

申请号：US16276262

申请日：2019-02-14

Applicant: Amazon Technologies, Inc.

Inventor： Jessica Emily Arfaa ,  Ashley Brooke Caringer ,  Vadim Bachmutsky ,  Eric C. Adams ,  Dylan Charles Kauling ,  Austin Meredith ,  Anirudhan Mukundan ,  Christopher J. Part ,  Alexander HL Poon ,  William Santo ,  John Patrick Stewart ,  Alberto Zubiri

IPC: G09B5/02 ,  G06Q10/08

Abstract: Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The training application exchanges, with a workstation application executed on the workstation, data about an event determined by the workstation application. The training application also determines a match between the trigger rule and the event. Based at least in part on the match, the training application initiates a presentation of the training module. In a further example, when the training module is presented, a transition rule may be used by the training application, based on an event from the workstation application, to determine a next training segment from the training module to present.

公开(公告)号：US09342063B1

公开(公告)日：2016-05-17

申请号：US14031890

申请日：2013-09-19

Applicant: Amazon Technologies, Inc.

Inventor： Serguei Iakhnine ,  James McTavish ,  Kirill Volgin ,  Vadim Bachmutsky ,  Vitalii Fedorenko ,  Kreethigha Thinakaran

IPC: G06F19/00 ,  G05B15/02 ,  G06Q10/06 ,  G06Q10/08

CPC classification number: G06Q10/06 ,  G05B19/41865 ,  G05B2219/31376 ,  G06Q10/087 ,  Y02P90/20

Abstract: Disclosed are various embodiments for determining capacities for work buffers. Data is received that indicates past work cycles for a first stage and a second stage of a pipelined process. The pipelined process includes a work buffer between the first stage and the second stage. Staffing levels for the first stage and the second stage are received. An optimal buffer capacity for the work buffer is generated based at least in part on a predicted workflow variance for the pipelined process, the staffing levels, and the past work cycles.

Abstract translation: 公开了用于确定工作缓冲器容量的各种实施例。 接收到数据，其指示流水线过程的第一阶段和第二阶段的过去工作周期。 流水线处理包括第一阶段和第二阶段之间的工作缓冲区。 收到了第一阶段和第二阶段的人员配置。 至少部分地基于流水线过程，人员配置级别和过去工作周期的预测工作流程差异来生成工作缓冲器的最佳缓冲器容量。