DATA PROCESSING METHOD, DISTRIBUTED DATA PROCESSING SYSTEM AND STORAGE MEDIUM

    公开(公告)号:US20190042317A1

    公开(公告)日:2019-02-07

    申请号:US16082553

    申请日:2017-02-16

    Applicant: HITACHI, LTD.

    Abstract: A data processing method of a distributed data processing system, in which the base server collects and standardizes data and generates base data by node cut processing, the central server collects the attribute information of the column of the base data from a plurality of base servers and the relationship between the integration source and the integration destination of the base data by the node cut processing of the base server as base column integrated information, a combination of an integration source and an integration destination capable of reducing the data amount as a result of an replacement for calculating a combination of an integration source and an integration destination capable of reducing the data amount by exchanging the integration source and the integration destination when data is combined, the combination is notified to the base server as an exchange instruction.

    PRODUCTION SCHEDULE CREATING APPARATUS, PRODUCTION SCHEDULE CREATING METHOD, AND PRODUCTION SCHEDULE CREATING PROGRAM

    公开(公告)号:US20190228360A1

    公开(公告)日:2019-07-25

    申请号:US16333713

    申请日:2017-11-28

    Applicant: Hitachi, Ltd.

    Abstract: To make it possible to plan and provide a new production schedule reflecting characteristics or tendencies appearing in production schedules planned in the past. A schedule planning section calculates, on the basis of history information concerning production schedules of products planned in the past, a schedule pattern including production order of the products while considering constraint conditions in producing the products, rearranges the production order of the products according to the calculated schedule pattern, and creates a plurality of schedule candidates concerning a production schedule of the products. A schedule evaluating section evaluates the plurality of schedule candidates on the basis of evaluation indicators corresponding to the constraint conditions, and selects a best production schedule out of the plurality of schedule candidates.

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