GREEN SUPPLY CHAIN PARTNER RECOMMENDER
    2.
    发明公开

    公开(公告)号:US20240296459A1

    公开(公告)日:2024-09-05

    申请号:US18117040

    申请日:2023-03-03

    Applicant: Hitachi, Ltd.

    CPC classification number: G06Q30/018

    Abstract: In example implementations described herein, there are systems and methods for obtaining information relating to one or more of a GHG consumption or a GHG production associated with a plurality of entities associated with a GHG-offset marketplace; receiving a request regarding a desired transaction related to the GHG-offset marketplace; and recommending, based on the request and the information relating to the one or more of the GHG consumption or the GHG production, at least one optimized set of partner entities in the plurality of entities for fulfilling the request. The recommendation of the at least one optimized set of partner entities may be included as part of selecting and coordinating partnerships in a supply chain (e.g., for a supply chain management company) to reduce and/or optimize greenhouse gas emissions and to enable effective cooperation for various supply chain objectives.

    GRAPH SEARCH DEVICE, GRAPH SEARCH SYSTEM, AND GRAPH SEARCH METHOD

    公开(公告)号:US20240202193A1

    公开(公告)日:2024-06-20

    申请号:US18522397

    申请日:2023-11-29

    Applicant: Hitachi, Ltd.

    CPC classification number: G06F16/2455 G06F16/24542 G06F16/248 G06F16/9024

    Abstract: A graph search device includes: an existing information database storing existing information that includes a set of existing process graphs and a set of existing process tables; a query data management unit that acquires query data that includes a query graph and a query table; a structure comparison unit that determines, as a first search candidate, an existing process graph satisfying a predetermined structural similarity threshold value with respect to the query graph from among the set of existing process graphs; a content comparison unit that determines, as a second search candidate, an existing process graph associated with an existing process table satisfying a predetermined content similarity threshold value for the query table, from among the set of existing process tables; and a results management unit that determines search results data for the query data among the first search candidate and the second search candidate.

    MULTI-PARTY BUSINESS COLLABORATION PLATFORM FOR ELECTRIFICATION ECOSYSTEMS

    公开(公告)号:US20240144129A1

    公开(公告)日:2024-05-02

    申请号:US17976719

    申请日:2022-10-28

    Applicant: Hitachi Ltd.

    CPC classification number: G06Q10/0633 G06Q10/103

    Abstract: A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.

    BEHAVIORAL ECONOMICS BASED FRAMEWORK FOR OPTIMAL AND STRATEGIC DECISION-MAKING IN A CIRCULAR ECONOMY

    公开(公告)号:US20230169434A1

    公开(公告)日:2023-06-01

    申请号:US17539130

    申请日:2021-11-30

    Applicant: Hitachi, Ltd.

    CPC classification number: G06Q10/06375 G06Q10/06315 G06Q10/067 G06Q30/0204

    Abstract: A method of providing optimal and personalized business decision making that leverages behavioral economics principles and machine learning techniques is discussed herein. The method may include collecting or simulating data relating to behavioral characteristics of a plurality of stakeholders and analyzing the collected data to construct behavioral economics and machine learning based models related to a business problem. These models can be used to optimize and personalize business interventions to influence consumers' purchasing behavior to achieve the best business outcome (in B2C use cases) and de-bias distorted information sharing in supply chains (in B2B use cases). By contrast, traditional consumer and supply chain analytics solutions lack behavioral insights and often lead to sub-optimal decision making because economic optimization approach alone is not adequate for decision making where behavioral biases are present.

    ZERO INVOICING BY REPLICATED STATE

    公开(公告)号:US20220138815A1

    公开(公告)日:2022-05-05

    申请号:US17089944

    申请日:2020-11-05

    Applicant: Hitachi, Ltd.

    Abstract: Example implementations are directed to eliminating or reducing the invoicing business process by using replicated states as single truth for sub-groups participating in a supply chain network involving a large number of transient partners in a low trust ecosystem. All activities of the business process such as invoicing are shared as single truth of replicated states for the subgroup. The confidential data involving terms of reference for business process is shared separately as single truth of replicated states among such partners. The validations for business process such as invoicing can be derived by executing smart contracts on such replicated states that have single truth about transactions among different sub-groups/channels in supply chain, thereby reducing/eliminating need for invoice generation that need to be manually verified, validated and acknowledged among supplier and customers for payments.

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