Whole-process enterprise digital business coordination and control cloud platform and scheduling method

Abstract

The application discloses a full-process enterprise digital business cooperation management and control cloud platform, which comprises a business object access unit, a unified business resource management unit, a process cooperation arrangement unit, a scheduling management and control unit and an execution feedback unit; the business object access unit accesses multi-source business data, business state information and cooperation requests; the process cooperation arrangement unit forms a cooperation process covering multiple business nodes according to the business correlation relationship between business resources; the execution feedback unit acquires progress information, result information and abnormal information of a task item, and feeds back to the process cooperation arrangement unit and the scheduling management and control unit, so as to update the flow state of the cooperation process and the management and control state of the task item. Compared with the prior art, the application has the advantages that an intelligent scheduling task item and a full-process enterprise digital business cooperation management and control cloud platform and a scheduling method capable of realizing risk early warning are provided.

Description

Technical Field

[0001] This invention relates to the field of enterprise information management technology, specifically to a cloud platform and scheduling method for collaborative management and control of enterprise digital business throughout the entire process. Background Technology

[0002] As companies grow in size and their business becomes more complex, the need for business collaboration between internal departments and between the company and external partners is becoming increasingly urgent.

[0003] Traditional enterprise management models mainly suffer from the following problems: business systems are built in a decentralized manner, data silos exist between various management systems, and there is a lack of a unified data collection and resource sharing mechanism; Business processes rely on manual transmission and offline approval, resulting in low efficiency, poor transparency, and difficulty in achieving cross-departmental and cross-organizational collaborative operations. Task scheduling relies on manual experience for assignment, resource allocation is unreasonable, task progress tracking is lagging, and response to abnormal situations is slow. There is a lack of identity authentication, access control, and behavior tracing mechanisms for the entire process, resulting in high data security and compliance risks. Most issues are only addressed after they occur, and there is a lack of proactive early warning and automated processing feedback capabilities.

[0004] Therefore, there is an urgent need for a cloud platform for the whole-process digital business collaborative management and control of enterprises, which can realize unified access of multi-source business data, automatic orchestration of business processes, intelligent scheduling and control of tasks, and closed-loop feedback of execution. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the above-mentioned technical defects and provide a cloud platform and scheduling method for intelligent scheduling of tasks and risk warning of the entire process of enterprise digital business collaborative management.

[0006] To solve the above-mentioned technical problems, the technical solution provided by the present invention is: a cloud platform for collaborative management and control of enterprise digital business throughout the entire process, including a business object access unit, a unified business resource management unit, a process collaborative orchestration unit, a scheduling and control unit, and an execution feedback unit; The business object access unit accesses multi-source business data, business status information, and collaboration requests, and the unified business resource management unit converts the accessed multi-source business data, business status information, and collaboration requests into business resources that can be uniformly invoked by the cloud platform. The process coordination and orchestration unit forms a collaborative process covering multiple business nodes based on the business relationships between business resources. The scheduling and control unit obtains the task items and business resource status in the collaborative process, and assigns, adjusts, tracks and controls the task items. The execution feedback unit obtains the progress information, result information and exception information of the task items, and feeds them back to the process collaboration orchestration unit and the scheduling and control unit to update the flow status of the collaborative process and the control status of the task items.

[0007] Preferably, the cloud platform further includes a risk warning unit, which is connected to the scheduling and control unit and the execution feedback unit. The risk warning unit generates risk warnings, abnormal warnings and handling warnings based on the control status and abnormal information of the task, and converts the handling warnings into pending tasks and sends them back to the scheduling and control unit.

[0008] Preferably, it also includes a permission auditing unit, which performs identity authentication, permission configuration and behavior tracing for the entire process of operations within the cloud platform.

[0009] Preferably, the business object access unit accesses the business interaction information of the enterprise's existing management system, user operation terminal, business execution terminal and external collaborating entities based on the multi-source heterogeneous data interface, and outputs the data of different protocol formats to the unified business resource management unit after converting the data of different protocol formats into the platform's unified data format.

[0010] Preferably, the process collaborative orchestration unit includes a process template management unit, a node configuration unit, and a flow control unit; The process template management unit configures process templates for different business scenarios. The node configuration unit is connected to the process template management unit and configures the processing subject, processing items and processing conditions corresponding to the process nodes. The flow control unit is connected to the node configuration unit and drives the flow between process nodes according to the business status.

[0011] Preferably, the scheduling and control unit includes a task splitting unit, a resource matching unit, a task assignment unit, and a scheduling adjustment unit; The task splitting unit breaks down business matters into multiple executable tasks, and the resource matching unit determines the personnel, equipment, materials, funds, venues and service resources that are suitable for the executable tasks. The task assignment unit is connected to the resource matching unit and distributes executable tasks to the corresponding execution objects. The scheduling and adjustment unit is connected to the task assignment unit and adjusts the task arrangement when the task status and resource status change.

[0012] Another aspect of this invention discloses a method for collaborative management and scheduling of end-to-end enterprise digital business, comprising the following steps: S1: Receives multi-source business data, business status information and collaboration requests generated by enterprise business activities; S2: Aggregate multi-source business data, business status information and collaboration requests into business resources corresponding to business items; S3: Determine the business nodes corresponding to business items and the flow order between nodes based on the ownership, flow, and collaboration relationships between business resources; S4: Generate task items based on business nodes and the flow order between nodes, and determine the execution object and flow path of the task items in combination with the status of business resources; S5: Collect progress information, result information, and exception information during the execution of tasks; S6: Update the workflow status of business nodes and the control status of task items based on progress information, result information and exception information.

[0013] Preferably, S4 includes: S4.1: Identify the types of business resources required for the task; S4.2: Identify candidate resources that match the business resource type from the available business resources; S4.3: Determine the execution object of the task based on the occupancy status, availability status, and associated business status of the candidate resources; S4.4: When the resource status corresponding to the execution object changes, the execution object and flow path of the task item are redefined.

[0014] The advantages of this invention compared to existing technologies are: this invention unifies access to internal and external business information of an enterprise through multi-source heterogeneous data interfaces, breaking down data silos and achieving resource sharing; The process collaboration orchestration unit automatically forms collaborative processes covering multiple nodes, achieving standardized management of business processes; the scheduling and control unit intelligently assigns tasks and dynamically optimizes resource allocation to improve execution efficiency; and the execution feedback unit forms a closed-loop feedback to ensure the real-time performance of processes and the accuracy of control. This invention overcomes the problems of system fragmentation, inefficient processes, delayed scheduling, and passive risk identification, and significantly improves the level of intelligent management and control of enterprise digital business collaboration. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of a cloud platform for collaborative management and control of digital business across the entire enterprise process.

[0016] Figure 2 This is a flowchart illustrating the collaborative control method for enterprise digital business across the entire process. Detailed Implementation

[0017] The present invention will now be described in further detail with reference to the accompanying drawings.

[0018] Combined with appendix Figure 1-2As shown, the end-to-end enterprise digital business collaborative management and control cloud platform includes a business object access unit, a unified business resource management unit, a process collaborative orchestration unit, a scheduling and control unit, and an execution feedback unit. The business object access unit accesses multi-source business data, business status information, and collaboration requests, and the unified business resource management unit converts the accessed multi-source business data, business status information, and collaboration requests into business resources that can be uniformly invoked by the cloud platform. The process coordination orchestration unit forms a collaborative process covering multiple business nodes based on the business relationships between business resources. The scheduling and control unit obtains the task items and business resource status in the collaborative process, and assigns, adjusts, tracks and controls the task items. The execution feedback unit obtains the progress information, result information and exception information of the task items, and feeds it back to the process coordination orchestration unit and the scheduling and control unit to update the flow status of the collaborative process and the control status of the task items.

[0019] In one embodiment, the cloud platform further includes a risk warning unit, which is signal-connected to the scheduling and control unit and the execution feedback unit. The risk warning unit generates risk warnings, abnormal warnings and handling warnings based on the control status and abnormal information of the task, and converts the handling warnings into pending tasks and sends them back to the scheduling and control unit. The risk warning unit monitors the task management status output by the scheduling and control unit and the abnormal information collected by the execution feedback unit in real time. It establishes a risk assessment model to quantify and score the risks of task delay, resource conflict, and process blockage. For tasks that have experienced abnormalities but have not caused serious consequences, an abnormality warning is generated along with an analysis of the cause of the abnormality and suggested handling solutions. For tasks that have exceeded the warning threshold or have caused process blockage, an emergency warning is generated and the handling solution is automatically converted into a pending task and sent back to the scheduling and control unit. The scheduling and control unit then re-matches resources and reassigns tasks, forming a closed-loop management of risk handling. In one embodiment, the system also includes a permission auditing unit, which performs identity authentication, permission configuration and behavior tracing for the entire process of operations within the cloud platform. The identity authentication adopts a multi-factor authentication mechanism, including at least two combinations of account password, dynamic token and biometric recognition, to ensure that the identity of the operating subject is authentic and trustworthy. The permission configuration is based on the role-based access control model, which divides platform users into roles such as system administrator, business administrator, process orchestrator, task executor and external collaborator, with each role corresponding to a preset set of operation permissions; The behavior tracking records all user operations within the platform, including login / logout, data query, process creation, task assignment, and status modification, forming an immutable operation log. The business object access unit accesses the business interaction information of the enterprise's existing management system, user operation terminal, business execution terminal and external collaborating entities based on multi-source heterogeneous data interfaces. After converting data of different protocol formats into a unified data format of the platform, it outputs it to the unified business resource management unit. The enterprise's existing management system includes enterprise resource planning system, customer relationship management system, supply chain management system, financial management system and human resource management system, etc., and is accessed through direct database connection, API interface call, message queue subscription or batch file import. User operation terminals include PC browsers, mobile applications and instant messaging tools such as WeChat for business; business execution terminals include intelligent production equipment, logistics tracking equipment and IoT sensors; external collaborators include suppliers, distributors, logistics service providers and financial institutions; and the multi-source heterogeneous data interface has a built-in protocol adapter that parses the received data in different protocol formats, performs field mapping, encoding conversion and semantic standardization according to the platform's unified data model, and outputs business resources in a unified data format. The process collaborative orchestration unit includes a process template management unit, a node configuration unit, and a flow control unit. The process template management unit configures process templates corresponding to different business scenarios. The node configuration unit is connected to the process template management unit and configures the processing subject, processing items, and processing conditions corresponding to the process nodes. The flow control unit is connected to the node configuration unit and promotes the flow between process nodes according to the business status. The flow control unit also supports manual intervention operations such as pausing, resuming, terminating, and forcibly jumping process instances to meet the flexible processing needs of special business scenarios.

[0020] In one embodiment, the scheduling and control unit includes a task splitting unit, a resource matching unit, a task assignment unit, and a scheduling adjustment unit; The task splitting unit breaks down business items into multiple executable tasks. The business items are business nodes to be processed generated by the process collaboration orchestration unit. The task splitting unit decomposes the business items into atomic-level executable tasks with clear inputs, outputs and completion standards according to the operation requirements and output requirements in the processing items. The resource matching unit identifies personnel, equipment, materials, funds, venues, and service resources that are suitable for the executable tasks. The resource matching unit establishes a comprehensive enterprise resource pool, including a human resources pool, an equipment resource pool, a material inventory pool, a fund account pool, a venue space pool, and a service provider pool. The task assignment unit is connected to the resource matching unit to distribute executable tasks to the corresponding execution objects. The scheduling and adjustment unit is connected to the task assignment unit to adjust the task arrangement when the task status and resource status change.

[0021] In a specific implementation, this invention also discloses a method for collaborative management and scheduling of end-to-end enterprise digital business, comprising the following steps: S1: Receives multi-source business data, business status information, and collaboration requests generated by enterprise business activities. Multi-source business data includes structured business data generated by the enterprise management system, interactive behavior data generated by user operation terminals, real-time operation data generated by business execution terminals, and business data exchanged between external collaborating entities. Business status information includes the current node, node status, processing progress, and reasons for blockage in each business process. Collaboration requests include cross-departmental collaboration applications, external entity access applications, and emergency priority requests. The receiving methods include various mechanisms such as proactive push, scheduled retrieval, and event triggering to ensure the timeliness and integrity of the data. S2: Collect multi-source business data, business status information and collaborative requests into business resources corresponding to business matters. The collection process includes data cleaning, entity identification, relationship extraction and resource encapsulation. Data cleaning removes duplicate, erroneous and incomplete data records. Entity recognition extracts business entities from unstructured text, such as people, organizations, products, and orders; relationship extraction analyzes the attribution, flow, and collaboration relationships between business entities. Resource encapsulation involves structurally encapsulating the cleaned data and extracted relationships according to the platform's unified resource model, forming standardized business resources that can be directly invoked for subsequent process orchestration and scheduling control. S3: Based on the attribution, flow, and collaboration relationships among business resources, determine the business nodes corresponding to business items and the flow order between nodes. Attribution relationships reflect the subordinate relationship between business resources and organizational departments, projects, or products, and are used to determine the responsible entity and approval path for business items. Flow relationships reflect the direction of business resource transfer in the value chain, such as the forward flow from procurement to production to sales, or the reverse flow from returns to rework, and are used to determine the order of business nodes. Collaboration relationships reflect the dependence and cooperation relationships between different business resources, and are used to determine the set of nodes that need to be processed in parallel or jointly approved. By combining the analysis of the three relationships, a complete business node map corresponding to business items and a definition of the flow order between nodes are generated. S4: Generate task items based on business nodes and the flow order between nodes, and determine the execution object and flow path of the task items in combination with the status of business resources; S5: Collect progress information, result information, and anomaly information during the execution of tasks. Progress information includes task start time, current completion percentage, time elapsed, and estimated remaining time. Result information includes task outputs, quality inspection results, and acceptance confirmation status. Anomaly information includes execution deviation descriptions, resource conflict reports, and external interference factors. Collection methods include multiple channels such as active reporting by the execution object, automatic capture of business system status by the system, and automatic reporting by IoT devices. S6: Update the workflow status of business nodes and the control status of task items based on progress information, result information and exception information.

[0022] S4 also includes: S4.1 Identifying the types of business resources required for the task, and analyzing the required types and quantities of resources such as personnel skills, equipment capabilities, material specifications, funding, site conditions and service support based on the operational requirements of the task. S4.2 Identify candidate resources that match the business resource type from the callable business resources, query the available resources of the corresponding type in the enterprise-wide resource pool, and filter the set of candidate resources that meet the basic qualification conditions; S4.3 Based on the occupancy status, availability status, and associated business status of candidate resources, determine the execution object of the task. Occupancy status includes idle, partially occupied, and fully loaded. Prioritize candidate resources that are idle or partially occupied. Available status includes normal, under maintenance, and out of service; candidate resources in unavailable status are excluded. Related business status includes whether there are conflicting tasks or higher-priority pending tasks; candidate resources with serious conflicts are excluded. The optimal execution target is determined after comprehensive evaluation. S4.4 When the resource status corresponding to the execution object changes, the execution object and flow path of the task are redefined. The resource status change includes situations such as the execution object requesting leave, equipment failure, material shortage, or emergency task insertion. This triggers the re-matching process of the scheduling adjustment unit to ensure the continuity and reliability of task execution.

[0023] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

[0024] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0025] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A cloud platform for collaborative management and control of end-to-end enterprise digital business processes, characterized by: It includes a business object access unit, a unified business resource management unit, a process collaboration orchestration unit, a scheduling and control unit, and an execution feedback unit; The business object access unit accesses multi-source business data, business status information, and collaboration requests, and the unified business resource management unit converts the accessed multi-source business data, business status information, and collaboration requests into business resources that can be uniformly invoked by the cloud platform. The process coordination and orchestration unit forms a collaborative process covering multiple business nodes based on the business relationships between business resources. The scheduling and control unit obtains the task items and business resource status in the collaborative process, and assigns, adjusts, tracks and controls the task items. The execution feedback unit obtains the progress information, result information and exception information of the task items, and feeds them back to the process collaboration orchestration unit and the scheduling and control unit to update the flow status of the collaborative process and the control status of the task items.

2. The end-to-end enterprise digital business collaborative management and control cloud platform according to claim 1, characterized in that: The cloud platform also includes a risk warning unit, which is connected to the scheduling and control unit and the execution feedback unit. The risk warning unit generates risk warnings, abnormal warnings and handling warnings based on the control status and abnormal information of the task, and converts the handling warnings into pending tasks and sends them back to the scheduling and control unit.

3. The end-to-end enterprise digital business collaborative management and control cloud platform according to claim 1, characterized in that: It also includes a permission auditing unit, which performs identity authentication, permission configuration, and behavior tracing for all operations within the cloud platform.

4. The end-to-end enterprise digital business collaborative management and control cloud platform according to claim 1, characterized in that: The business object access unit accesses business interaction information from the enterprise's existing management system, user operation terminal, business execution terminal, and external collaborating entities based on multi-source heterogeneous data interfaces, and outputs data of different protocol formats to the unified business resource management unit after converting it into a unified data format of the platform.

5. The end-to-end enterprise digital business collaborative management and control cloud platform according to claim 1, characterized in that: The process collaborative orchestration unit includes a process template management unit, a node configuration unit, and a flow control unit; The process template management unit configures process templates for different business scenarios. The node configuration unit is connected to the process template management unit and configures the processing subject, processing items and processing conditions corresponding to the process nodes. The flow control unit is connected to the node configuration unit and drives the flow between process nodes according to the business status.

6. The end-to-end enterprise digital business collaborative management and control cloud platform according to claim 1, characterized in that: The scheduling and control unit includes a task splitting unit, a resource matching unit, a task assignment unit, and a scheduling adjustment unit; The task splitting unit breaks down business matters into multiple executable tasks, and the resource matching unit determines the personnel, equipment, materials, funds, venues and service resources that are suitable for the executable tasks. The task assignment unit is connected to the resource matching unit and distributes executable tasks to the corresponding execution objects. The scheduling and adjustment unit is connected to the task assignment unit and adjusts the task arrangement when the task status and resource status change.

7. A method for collaborative management and scheduling of end-to-end enterprise digital business, using the cloud platform as described in any one of claims 1-6, characterized in that: Includes the following steps: S1: Receives multi-source business data, business status information and collaboration requests generated by enterprise business activities; S2: Aggregate multi-source business data, business status information and collaboration requests into business resources corresponding to business items; S3: Determine the business nodes corresponding to business items and the flow order between nodes based on the ownership, flow, and collaboration relationships between business resources; S4: Generate task items based on business nodes and the flow order between nodes, and determine the execution object and flow path of the task items in combination with the status of business resources; S5: Collect progress information, result information, and exception information during the execution of tasks; S6: Update the workflow status of business nodes and the control status of task items based on progress information, result information and exception information.

8. The end-to-end enterprise digital business collaborative management and scheduling method according to claim 7, characterized in that: S4 includes: S4.1: Identify the types of business resources required for the task; S4.2: Identify candidate resources that match the business resource type from the available business resources; S4.3: Determine the execution object of the task based on the occupancy status, availability status, and associated business status of the candidate resources; S4.4: When the resource status corresponding to the execution object changes, the execution object and flow path of the task item are redefined.

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