PLAN COORDINATION SYSTEM AND PLAN COORDINATION METHOD
    1.
    发明申请
    PLAN COORDINATION SYSTEM AND PLAN COORDINATION METHOD 审中-公开
    计划协调系统和计划协调方法

    公开(公告)号:US20160267417A1

    公开(公告)日:2016-09-15

    申请号:US15032789

    申请日:2013-11-07

    Applicant: HITACHI, LTD.

    Abstract: A plan coordination system includes a processing device configured to perform: processing that generates public data from definition data of plans, receives definitions by a user for information coordinated between plans among process procedures indicated by the public data, applies the definitions by the user to the definition data of the plan, and generates a plan coordination model; processing that notifies the data to a management device of another plan as a coordination destination in the coordination relation at a change event on the definition data, changes the plan coordination model based on a generation result of the other plan reflecting the change event, and notifies the changed data to the management device of the other plan having the coordination relation with the plan changed along with this change; and processing that outputs a generation result of each plan when planning is completed for all plans.

    Abstract translation: 计划协调系统包括:处理装置,被配置为执行:从计划的定义数据生成公共数据的处理,接收由用户为由公共数据指示的处理过程之间的计划之间协调的信息的定义,将用户的定义应用于 计划的定义数据,并生成计划协调模型; 在定义数据上的改变事件上,将协调关系中作为协调关系的另一计划的管理装置通知数据的处理,基于反映变更事件的其他计划的生成结果来改变计划协调模型,并通知 具有与计划协调关系的另一计划的管理设备的更改数据随着此变更而改变; 以及对于所有计划完成规划时,输出每个计划的生成结果的处理。

    HUMAN RESOURCE ALLOCATION SUPPORTING SYSTEM AND METHOD

    公开(公告)号:US20220237549A1

    公开(公告)日:2022-07-28

    申请号:US17438539

    申请日:2020-11-02

    Applicant: HITACHI, LTD.

    Abstract: A system calculates, by executing an optimum parameter model, an optimum parameter group used to generate an allocation plan based on input data including all or part of allocation information of human resources in an organization. The optimum parameter model is a machine learning model to which the input data is input and from which an optimum parameter group is output. For each time point, the system generates an allocation plan based on the input data corresponding to the time point and based on a given parameter group, and calculates an optimum parameter group based on the allocation plan, correct data that obeys manual correction of the allocation plan, and the given parameter group. The system performs learning of the optimum parameter model based on a data set (including the input data or a characteristic amount of the input data, and the optimum parameter group) for each time point.

    SCHEDULE ARBITRATION SYSTEM
    3.
    发明申请

    公开(公告)号:US20190050772A1

    公开(公告)日:2019-02-14

    申请号:US15759092

    申请日:2016-01-29

    Applicant: HITACHI, LTD.

    Abstract: A schedule arbitration server is configured to obtain a first scheduling constraint and first schedule information from a first server, and obtain a second scheduling constraint and second schedule information from a second server; detect a discrepancy between the first schedule information and the second schedule information, based on the first scheduling constraint, the first schedule information, the second scheduling constraint, and the second schedule information, and on overall optimization constraint information; recreate a schedule when a discrepancy is detected, by creating third and fourth schedule information through modification of the first schedule information and the second schedule information; calculate a first credit for the first server and a second credit for the second server, based on degrees of modification; and send the third schedule information and the first credit to the first server, and send the fourth schedule information and the second credit to the second server.

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