Control tower and enterprise management platform for value chain networks

Abstract

The value chain system that provides logistics system design recommendations is generally a machine learning system that trains machine learning models that output logistics design recommendations based on training datasets that respectively define one or more characteristics of each logistics system and outcomes associated with each logistics system. The system also provides an artificial intelligence system that receives a request for logistics system design recommendations and determines the logistics system design recommendations based on one or more of the machine-learned models and the request, and a digital twin system that generates an environment digital twin of the logistics environment incorporating the logistics system design recommendations and one or more physical asset digital twins of the physical assets. The digital twin system performs simulations based on the logistics environment digital twin and the one or more physical asset digital twins.

Claims

[Claim 1] A method for configuring a role-based digital twin, A processing system having one or more processors receives an organizational definition of a company, wherein the organizational definition defines a set of roles within the company. The process involves a step in which a processing system generates an organizational digital twin of a company based on its organizational definition, where the organizational digital twin is a digital representation of the company's organizational structure. The processing system comprises the steps of determining a set of relationships between different roles within a set of roles, based on the definition of an organization, wherein determining the set of relationships includes analyzing the definition of an organization to identify the reporting structure of the company and one or more business units. The processing system determines, based on a set of relationships, a set of settings for a role from a set of roles, wherein the set of settings for a role includes role-based permission settings. The steps include linking each individual's identity to the aforementioned role, The processing system determines, based on the setting of the role linked to the identity, the configuration of the presentation layer of the role-based digital twin corresponding to the role, the configuration of the presentation layer defines a set of states that are depicted in the role-based digital twin associated with the role, The processing system determines a set of data sources that provide data corresponding to the set of states, wherein each data source provides one or more data of each type. The step of configuring one or more data structures that receive digital twin data from one or more data sources, wherein the one or more data structures are configured to provide data used to describe one or more states of a set of states of a role-based digital twin, A role-based digital twin is a method for integrating an enterprise resource planning system that operates on an organizational digital twin representing the set of roles within an enterprise, so that changes in the enterprise resource planning system are automatically reflected in the organizational digital twin. [Claim 2] The method according to claim 1, wherein the organizational definition further identifies a set of the physical assets of the company. [Claim 3] The method according to claim 1, characterized in that the set of relationships is inferred from the reporting structure and business units. [Claim 4] The method according to claim 1, further comprising linking the set of identities to the set of roles, wherein each identity corresponds to each role from the set of roles. [Claim 5] The method according to claim 1, wherein the organizational structure includes hierarchical components. [Claim 6] The method according to claim 5, wherein the hierarchical components are embodied in a graph data structure. [Claim 7] The method according to claim 1, wherein the role-based permission settings are based on the hierarchical components defined in the organization definition. [Claim 8] The method according to claim 1, wherein the set of settings for the set of roles includes role-based preference settings. [Claim 9] The method according to claim 8, wherein the role-based preference settings are configured based on a set of role-specific templates. [Claim 10] The method according to claim 9, wherein the set of role-specific templates includes at least one of the following: CEO template, COO template, CFO template, legal counsel template, board member template, CTO template, chief marketing officer template, information technology manager template, chief information officer template, chief data officer template, investor template, customer template, vendor template, supplier template, technology manager template, project manager template, operations manager template, sales manager template, salesperson template, service manager template, maintenance operator template, and business development template. [Claim 11] The method according to claim 1, wherein the set of settings for the set of roles includes setting up a classification method based on roles. [Claim 12] The method according to claim 11, wherein the setting of the classification method identifies a classification method used to characterize the data presented in the role-based digital twin such that the data is presented in a classification method linked to the roles corresponding to the role-based digital twin. [Claim 13] A method according to claim 12, wherein the set of classification methods includes at least one of the following: CEO classification, COO classification, CFO classification, legal counsel classification, director classification, CTO classification, chief marketing officer classification, information technology manager classification, chief information officer classification, chief data officer classification, investor classification, customer classification, vendor classification, supplier classification, technology manager classification, project manager classification, operations manager classification, sales manager classification, salesperson classification, service manager classification, maintenance operator classification, and business development classification. [Claim 14] A method according to claim 1, characterized in that at least one role of the set of roles is selected from the following: CEO role, COO role, CFO role, legal counsel role, board member role, CTO role, information technology manager role, chief information officer role, chief data officer role, human resources manager role, investor role, technology manager role, accountant role, auditor role, resource planning role, public relations manager role, project manager role, operations manager role, research and development role, engineer role (including but not limited to mechanical engineer, electrical engineer, semiconductor engineer, chemical engineer, computer science engineer, data science engineer, network engineer, or other type of engineer), and business development role. [Claim 15] The method according to claim 1, wherein the at least one role is selected from the roles of factory manager, factory worker, power plant manager, power plant worker, equipment service, and equipment maintenance operator. [Claim 16] The method according to claim 1, wherein the at least one role is selected from a market maker role, a market analyst role, a foreign exchange manager role, a broker-dealer role, a trading role, a settlement role, a contract trading partner role, a foreign exchange rate setting role, a market orchestration role, a market structuring role, and a contract structuring role. [Claim 17] The method according to claim 1, wherein the at least one role is selected from the roles of Chief Marketing Officer, Product Development, Supply Chain Manager, Product Design, Marketing Analyst, Product Manager, Competitive Analyst, Customer Service Representative, Procurement Operator, Inbound Logistics Operator, Outbound Logistics Operator, Customer, Supplier, Vendor, Demand Management, Marketing Manager, Sales Manager, Service Manager, Demand Forecasting, Retail Manager, Warehouse Manager, Salesperson, and Distribution Center Manager.

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