A cloud-based collaborative supply chain link dynamic management system and method

Abstract

The application discloses a kind of supply chain link dynamic management system and method based on cloud cooperation, belong to supply chain management technical field.Supply chain information unified control is realized by cloud information configuration and data warehouse construction module, and collaborative degree evaluation module integrates high-collaboration task, time node integration module generates task execution set, and dispersion and urgency evaluation module dynamically identifies execution risk node;Method sequentially passes through four steps of cloud warehouse building, collaborative degree evaluation, time node integration and urgency evaluation, to realize the standardized, collaborative, dynamic management of supply chain link.The application solves the problems of traditional supply chain information dispersion, insufficient collaboration and response lag, improves supply chain management efficiency and risk response capability, and is suitable for various complex supply chain scenarios such as manufacturing industry and retail industry, and can be widely applied to multi-project and multi-link supply chain dynamic control.

Description

Technical Field

[0001] This invention relates to the field of supply chain management technology, specifically to a dynamic management system and method for supply chain links based on cloud collaboration. Background Technology

[0002] With the globalization of supply chains and the diversification of businesses, traditional supply chain management models are gradually becoming unable to adapt to complex business needs, mainly due to the following bottlenecks:

[0003] Information from each link in the supply chain (procurement, production, warehousing, logistics) is stored in the local systems of suppliers, manufacturers, retailers and other participants. There is a lack of unified cloud configuration and interoperability mechanisms. For example, the raw material delivery data of suppliers and the production plan data of manufacturers cannot be synchronized in real time, which can easily lead to "information gaps" and increase communication costs and the risk of misjudgment.

[0004] In the supply chain, tasks are often managed independently based on a single business scenario without considering the inherent relationships between tasks. For example, the "raw material procurement task" and the "production and processing task" have data dependencies but are executed separately, which makes it impossible to adjust the production process in a timely manner when raw material delivery is delayed, resulting in idle resources.

[0005] The supply chain data formats under different business functions are chaotic. For example, procurement data is recorded in "order number-quantity-amount" and production data is recorded in "batch-output-pass rate". The data cannot be directly compared and reused, requiring additional manpower for data governance, which increases management costs.

[0006] Existing management methods focus only on the progress of individual tasks, lacking overall integration and risk assessment of time nodes. When tasks pile up at a certain time node or cross-project tasks conflict, managers cannot detect it in time, which can easily lead to supply chain disruptions. For example, if warehousing tasks for multiple projects are concentrated at the same time node, but warehousing resources are not allocated in advance, it will result in the backlog of goods.

[0007] Therefore, there is an urgent need for a supply chain management technology that can achieve unified cloud-based control, collaborative task integration, and dynamic risk warning, in order to address the pain points of existing technologies and improve the overall operational efficiency of the supply chain. Summary of the Invention

[0008] The purpose of this invention is to provide a cloud-based collaborative dynamic management system and method for supply chain processes, in order to solve the problems mentioned in the background art.

[0009] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0010] A cloud-based collaborative supply chain dynamic management system includes: a cloud information configuration and data warehouse construction module, a collaboration evaluation and task integration module, a time node integration and task execution set generation module, a dispersion and urgency evaluation module, and a management terminal interaction module.

[0011] The cloud-based information configuration and data warehouse construction module is used to uniformly configure all information of supply chain projects in the cloud and establish a multi-dimensional data warehouse that includes supply chain project warehouse, supply chain link task warehouse and functional data warehouse, so as to realize centralized storage and association of information.

[0012] The collaboration assessment and task integration module is used to retrieve templated supply chain data from the functional data warehouse, assess the degree of collaboration between tasks in different supply chain links, screen high-collaboration tasks, and summarize them into a collaborative management task set.

[0013] The time node integration and task execution set generation module is used to collect the execution time nodes of all tasks in the collaborative management task set, deduplicate them to form a stage execution time set, and then collect all tasks under each time node to construct the task execution set.

[0014] The dispersion and urgency assessment module is used to calculate the task dispersion and project dispersion of the execution time node of the task execution set, and to assess the execution urgency of the current execution time node by combining the difference between the two.

[0015] The management interaction module is used to push the execution urgency results and the source information of the corresponding task execution set to the management terminal, supporting managers to view and make decisions in real time.

[0016] As a preferred embodiment of the present invention, the cloud information configuration and data warehouse construction module includes a supply chain information configuration unit, a supply chain data template unit, and a multi-dimensional data warehouse establishment unit;

[0017] The supply chain information configuration unit is used to configure each link of the supply chain according to the supply chain business chain, split and configure the link tasks according to the supply chain business functions, and simultaneously input the supply chain project number, task number and task association data.

[0018] The supply chain data template unit is used to formulate a unified data template for supply chain data with the same business function, organize similar data under different tasks according to the template format, eliminate format differences and form standardized supply chain business function data.

[0019] The multi-dimensional data warehouse building unit is used to build supply chain project warehouse, supply chain link task warehouse and functional data warehouse respectively, and to establish a correlation index for the data of the three warehouses.

[0020] As a preferred embodiment of the present invention, the collaboration evaluation and task integration module includes a templated data retrieval unit, a task collaboration calculation unit, and a collaboration task set generation unit.

[0021] The templated data retrieval unit is used to accurately retrieve standardized data of the corresponding category from the functional data warehouse according to the business function type of the task in the supply chain link.

[0022] The task collaboration calculation unit is used to calculate the collaboration degree between tasks by comparing the intersection and union data of the standardized data of two tasks and combining the update validity of the data template in the intersection.

[0023] The collaborative task set generation unit is used to calculate the average value of the collaboration degree of all tasks, filter out supply chain tasks with a collaboration degree greater than or equal to the average value, and summarize them according to business links to form a collaborative management task set.

[0024] As a preferred embodiment of the present invention, the time node integration and task execution set generation module includes a process time node acquisition unit, a process time set generation unit, and a task execution set construction unit;

[0025] The time node acquisition unit is used to collect the planned execution time node or historical execution time node of each task in the collaborative management task set to form an original time node list.

[0026] The process time set generation unit is used to deduplicate and sort the original time node list to generate a process execution time set containing unique process execution time nodes, with each process execution time node corresponding to at least one supply chain process task.

[0027] The task execution set construction unit is used to treat each execution time node in the process execution time set as an independent management and control unit, collect all related supply chain process tasks under that execution time node, and generate a task execution set containing task name, project to which it belongs, and business function.

[0028] As a preferred embodiment of the present invention, the dispersion and urgency assessment module includes a task dispersion calculation unit, a project dispersion statistics unit, an execution urgency assessment unit, and an urgency threshold judgment unit.

[0029] The task dispersion calculation unit is used to calculate the number of task intersections between the task execution set at the current stage execution time node and all other task execution sets, and take the average value as the task dispersion.

[0030] The project dispersion statistics unit is used to count the source of tasks in each supply chain link in the task execution set at each link execution time node, calculate the absolute value of the difference between the current link execution time node and the number of times the same supply chain project is calibrated at other link execution time nodes, and obtain the project dispersion after normalization.

[0031] The execution urgency assessment unit is used to calculate the execution urgency by taking the task dispersion difference and project dispersion difference between the current execution time node and the next execution time node as two-dimensional parameters and using the Euclidean distance formula.

[0032] The urgency threshold judgment unit is used to preset the execution urgency threshold. If the urgency of the current node reaches or exceeds the threshold, the management terminal interaction module will be triggered to push early warning information.

[0033] A dynamic management method for supply chain links based on cloud collaboration, comprising the following steps:

[0034] Step S1: Configure supply chain project information uniformly in the cloud, including supply chain projects, supply chain link tasks and supply chain data under supply chain link tasks, and establish a data warehouse, including supply chain project warehouse, supply chain link task warehouse and functional data warehouse.

[0035] Step S2: Based on the data templates generated by the data templates of each supply chain data in the functional data warehouse, evaluate the degree of synergy between tasks in the supply chain links, and integrate the tasks in the supply chain links to obtain a set of collaborative management tasks;

[0036] Step S3: Integrate the execution time nodes of each supply chain link task in the collaborative management task set to obtain the link execution time set; and collect all supply chain link tasks under the same link execution time node to generate a task execution set;

[0037] Step S4: Based on the task execution set, evaluate the task dispersion and project dispersion of the execution time nodes of the process. Through the task dispersion and project dispersion, evaluate the execution urgency of the current execution time node before entering the next execution time node, and output it to the management end.

[0038] As a preferred embodiment of the present invention, the specific implementation process of step S1 includes:

[0039] The cloud-based unified configuration of supply chain project information includes supply chain project number, supply chain link task number, and supply chain data under the supply chain link task; the supply chain links are uniformly configured based on the supply chain business chain; the supply chain link tasks are uniformly configured based on the supply chain business functions; and the supply chain data is templated based on the supply chain business functions to form standardized supply chain business function data.

[0040] A unified data warehouse is established in the cloud, including a supply chain project warehouse, a supply chain task warehouse, and a functional data warehouse, which are respectively denoted as... , and ,in, This represents the nth supply chain project. Indicates supply chain project The m-th task in the supply chain. Indicates tasks in the supply chain. The i-th function data below;

[0041] It should be noted that supply chain tasks refer to specific execution units that can be broken down within the supply chain business chain (procurement, production, warehousing, logistics, and sales), such as "2024 Q4 raw material A procurement task", "Product B batch 5 production task", and "Warehouse C monthly inventory task". Each task must correspond to a clear execution objective, responsible entity, and data support.

[0042] Supply chain business functions refer to the core functional types that support the implementation of tasks in the supply chain process, such as "order management function" in the procurement process, "progress tracking function" in the production process, and "inventory statistics function" in the warehousing process. The same business function has similar data requirements in different tasks (e.g., all "order management functions" must include fields such as "order number, category, quantity, and delivery time").

[0043] In supply chain management, data templates are necessary. The core data requirements of the same supply chain business function are stable. Based on this function, a unified data template can be developed to organize similar data from different tasks in a standardized format. For example, the "inventory statistics function" template includes the fields "product ID-inventory quantity-storage location-shelf life". Regardless of which warehousing task it corresponds to, the data is recorded in this format, eliminating format differences and laying the foundation for data comparison and collaborative evaluation between tasks.

[0044] As a preferred embodiment of the present invention, the specific implementation process of step S2 includes:

[0045] Supply chain managers, based on supply chain business functions, template each piece of supply chain data in the functional data warehouse and then assess the synergy between tasks in the supply chain process. In the formula, This represents the task in the v-th link of the supply chain under the u-th supply chain project. Indicating supply chain links With supply chain links The degree of synergy between them, n≠u and m≠v, Indicating functional data warehouse With functional data warehouse The amount of supply chain data contained in the intersection set between them Indicating functional data warehouse With functional data warehouse The number of supply chain data contained in the union set. Represents supply chain data The number of data templates that exist after templating. Represents supply chain data The number of updated data templates in the templated data template, where the update includes adding or removing data from the data templates. Then let ;

[0046] It should be noted that the degree of synergy is used to measure the closeness of the relationship between two tasks in the supply chain. The core logic is "data overlap + template effectiveness": First, the "intersection data volume" (number of overlapping fields) and "union data volume" (total number of fields, after deduplication) of the standardized data of the two tasks are calculated. The intersection ratio reflects the basis of the relationship between the task data. Then, the "update rate" (updated data volume / total data volume) of each data template in the intersection is calculated. The lower the update rate, the stronger the template stability and the higher the data reliability. Finally, the degree of synergy is calculated by "(intersection / union) × Σ(1-update rate)" - the larger the intersection and the lower the update rate, the higher the degree of synergy, indicating that the two tasks can be executed in a coordinated manner to reduce resource waste.

[0047] After assessing the synergy between tasks in each pair of supply chain segments, the mean synergy is calculated. Tasks in the supply chain segments with a synergy greater than or equal to the mean synergy are extracted and aggregated to generate a set of collaborative management tasks.

[0048] As a preferred embodiment of the present invention, the specific implementation process of step S3 includes:

[0049] Obtain the execution time nodes of each task in the supply chain from the collaborative management task set, and deduplicate these execution time nodes to generate a set of execution time nodes, denoted as . ,in, Let e ​​represent the execution time node of the e-th step, where E represents the total number of execution time nodes of the steps, and each execution time node of a step corresponds to at least one task in the supply chain.

[0050] The execution time of each stage is concentrated into a single stage execution time node as a task node for dynamic optimization, and the execution time nodes of the same stage are collected. All tasks in the supply chain are processed, and a task execution set is generated, denoted as... .

[0051] As a preferred embodiment of the present invention, the specific implementation process of step S4 includes:

[0052] Based on task execution set The task dispersion of the evaluation process execution time nodes In the formula, Let r represent the execution time of the r-th stage, where r ≠ e. Indicates task execution set With task execution set The number of tasks in the supply chain links included in the intersection set;

[0053] In the task execution set The sources of tasks in the supply chain are statistically analyzed. If the tasks in the supply chain are... The source is the supply chain project For supply chain projects Perform a calibration to define the supply chain project. The number of times it is marked is denoted as And assess the project dispersion at each execution time point. ;

[0054] Based on task dispersion and project dispersion, assess the urgency of the current stage's execution time point before moving to the next stage's execution time point. ;

[0055] It should be noted that task dispersion is used to assess the degree of task correlation between the current time node and other nodes. The logic is "task intersection mean": calculate the "task intersection number" (number of common tasks) between the current node's task execution set and the task execution sets of all other nodes, and take the average of all intersection numbers as the task dispersion. The more intersections, the lower the dispersion, indicating that the current node is closely related to tasks of other nodes; conversely, the lower the dispersion, the higher the dispersion, indicating that the current node's tasks may be at risk of "isolated execution".

[0056] Project dispersion is used to assess the balance of project distribution of tasks at the current time point. The logic is "project calibration difference normalization": count the "task calibration times" (the number of tasks of a project at this node) of each supply chain project at the current node and other nodes, calculate the absolute value of the difference in calibration times of the same project at different nodes, summarize all differences and divide by "total number of projects × total number of nodes" for normalization. The smaller the difference, the lower the dispersion, indicating that the project tasks are evenly distributed; the larger the difference, the higher the dispersion, suggesting that the tasks of a certain project may be over-concentrated at the current node.

[0057] The execution urgency is used to dynamically identify high-risk execution nodes. The logic is "comprehensive assessment of dual dispersion differences": using the "task dispersion difference" and "project dispersion difference" between the current node and the next node as two-dimensional coordinate parameters, the execution urgency is calculated using the Euclidean distance formula (√[(task difference)²+(project difference)²]). The larger the distance, the higher the urgency, indicating that the task and project distribution differences between the current node and the next node are significant. If the tasks of the current node are not handled in time, it may lead to a break in the process of the next node.

[0058] A preset urgency threshold is set; if the urgency is exceeded... If the timeframe is greater than or equal to the urgency threshold, then the execution time of the process will be adjusted. Task execution set Send to the administrator's port, along with the attached task execution set. Information on the origin of tasks at each link in the supply chain.

[0059] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: It achieves unified management and control of supply chain information through a cloud-based information configuration and data warehouse construction module; integrates highly collaborative tasks through a collaboration assessment module; generates task execution sets through a time node integration module; and dynamically identifies execution risk nodes through a dispersion and urgency assessment module. The method sequentially achieves standardized, collaborative, and dynamic management of supply chain links through four steps: cloud warehouse construction, collaboration assessment, time node integration, and urgency assessment. This invention solves the problems of fragmented information, insufficient collaboration, and delayed response in traditional supply chains, improving supply chain management efficiency and risk response capabilities. It is applicable to various complex supply chain scenarios such as manufacturing and retail, and can be widely applied to dynamic management and control of multi-project, multi-stage supply chains. Attached Figure Description

[0060] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0061] Figure 1 This is a schematic diagram illustrating the steps of a cloud-based collaborative dynamic management method for supply chain processes according to the present invention. Detailed Implementation

[0062] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0063] In this first embodiment: a cloud-based collaborative supply chain dynamic management system is provided. The system includes: a cloud information configuration and data warehouse construction module, a collaboration degree assessment and task integration module, a time node integration and task execution set generation module, a dispersion and urgency assessment module, and a management terminal interaction module.

[0064] The cloud-based information configuration and data warehouse construction module is used to uniformly configure all information of supply chain projects in the cloud and establish a multi-dimensional data warehouse that includes supply chain project warehouse, supply chain link task warehouse and functional data warehouse, so as to realize centralized storage and association of information.

[0065] The cloud-based information configuration and data warehouse construction module includes a supply chain information configuration unit, a supply chain data template unit, and a multi-dimensional data warehouse establishment unit.

[0066] The supply chain information configuration unit is used to configure each link of the supply chain according to the supply chain business chain, split and configure the link tasks according to the supply chain business functions, and simultaneously input the supply chain project number, task number and task association data.

[0067] The supply chain data template unit is used to formulate a unified data template for supply chain data with the same business function, organize similar data under different tasks according to the template format, eliminate format differences and form standardized supply chain business function data.

[0068] The multi-dimensional data warehouse building unit is used to build supply chain project warehouse, supply chain link task warehouse, and functional data warehouse respectively, and to establish a correlation index for the data in the three warehouses;

[0069] The collaboration assessment and task integration module is used to retrieve templated supply chain data from the functional data warehouse, assess the degree of collaboration between tasks in different supply chain links, screen high-collaboration tasks, and summarize them into a collaborative management task set.

[0070] The collaboration evaluation and task integration module includes a templated data retrieval unit, a task collaboration calculation unit, and a collaborative task set generation unit.

[0071] The templated data retrieval unit is used to accurately retrieve standardized data of the corresponding category from the functional data warehouse according to the business function type of the task in the supply chain link.

[0072] The task collaboration calculation unit is used to calculate the collaboration degree between tasks by comparing the intersection and union data of the standardized data of two tasks and combining the update validity of the data template in the intersection.

[0073] The collaborative task set generation unit is used to calculate the average value of the collaborative degree of all tasks, filter out supply chain tasks with a collaborative degree greater than or equal to the average value, and classify and summarize them according to business links to form a collaborative management task set.

[0074] The time node integration and task execution set generation module is used to collect the execution time nodes of all tasks in the collaborative management task set, deduplicate them to form a stage execution time set, and then collect all tasks under each time node to construct the task execution set.

[0075] The time node integration and task execution set generation module includes a process time node acquisition unit, a process time set generation unit, and a task execution set construction unit.

[0076] The time node acquisition unit is used to collect the planned execution time node or historical execution time node of each task in the collaborative management task set to form an original time node list.

[0077] The process time set generation unit is used to deduplicate and sort the original time node list to generate a process execution time set containing unique process execution time nodes, with each process execution time node corresponding to at least one supply chain process task.

[0078] The task execution set construction unit is used to treat each execution time node in the process execution time set as an independent management and control unit, collect all related supply chain process tasks under that execution time node, and generate a task execution set containing task name, project to which it belongs, and business function;

[0079] The dispersion and urgency assessment module is used to calculate the task dispersion and project dispersion of the execution time node of the task execution set, and to assess the execution urgency of the current execution time node by combining the difference between the two.

[0080] The dispersion and urgency assessment module includes a task dispersion calculation unit, a project dispersion statistics unit, an execution urgency assessment unit, and an urgency threshold judgment unit.

[0081] The task dispersion calculation unit is used to calculate the number of task intersections between the task execution set at the current stage execution time node and all other task execution sets, and take the average value as the task dispersion.

[0082] The project dispersion statistics unit is used to count the source of tasks in each supply chain link in the task execution set at each link execution time node, calculate the absolute value of the difference between the current link execution time node and the number of times the same supply chain project is calibrated at other link execution time nodes, and obtain the project dispersion after normalization.

[0083] The execution urgency assessment unit is used to calculate the execution urgency by taking the task dispersion difference and project dispersion difference between the current execution time node and the next execution time node as two-dimensional parameters and using the Euclidean distance formula.

[0084] The urgency threshold judgment unit is used to preset the execution urgency threshold. If the urgency of the current node reaches or exceeds the threshold, the management terminal interaction module is triggered to push early warning information.

[0085] The management interaction module is used to push the execution urgency results and the source information of the corresponding task execution set to the management terminal, supporting managers to view and make decisions in real time.

[0086] Please see Figure 1 In this second embodiment: a cloud-based collaborative dynamic management method for supply chain links is provided, applicable to the first embodiment above. This method includes the following steps:

[0087] Step S1: Configure supply chain project information uniformly in the cloud, including supply chain projects, supply chain link tasks and supply chain data under supply chain link tasks, and establish a data warehouse, including supply chain project warehouse, supply chain link task warehouse and functional data warehouse.

[0088] For example, the cloud uniformly configures supply chain project information, including supply chain project number, supply chain link task number, and supply chain data under the supply chain link task; the supply chain link is uniformly configured based on the supply chain business chain; the supply chain link task is uniformly configured based on the supply chain business function; the supply chain data is templated based on the supply chain business function to form standardized supply chain business function data.

[0089] A unified data warehouse is established in the cloud, including a supply chain project warehouse, a supply chain task warehouse, and a functional data warehouse, which are respectively denoted as... , and ,in, This represents the nth supply chain project. Indicates supply chain project The m-th task in the supply chain. Indicates tasks in the supply chain. The i-th function data below;

[0090] For example, taking the "electronic product manufacturing supply chain" as an application scenario, a mobile phone manufacturer needs to manage 10 supply chain projects (corresponding to 10 mobile phone models, numbered P1-P10). Each project includes 5 links: "chip procurement, screen procurement, complete machine assembly, warehousing and logistics distribution", totaling 50 supply chain link tasks (numbered Q11-Q105, such as Q11 being the chip procurement task of P1). The system is deployed on the enterprise's private cloud, and managers access the management terminal through intranet terminals.

[0091] During the information configuration phase, the supply chain information configuration unit configures the links according to the "procurement-production-warehousing-logistics" business chain and the tasks according to the "order management, progress tracking, inventory statistics, and logistics scheduling" business functions; and enters the project information (name, person in charge, cycle) for P1-P10, the task information (project, link, business function) for Q11-Q105, and the task-related data (such as the chip model "X100", the purchase quantity "5000 pieces", and the supplier "Company A" for Q11).

[0092] During the data template stage, templates are created for four types of business functions through the supply chain data template unit: order management template (order number, category, specifications, quantity, supplier, delivery deadline, and delivered quantity); progress tracking template (task number, batch, planned output, actual output, pass rate, and remaining lead time); inventory statistics template (product ID, inventory quantity, storage location, shelf life, and warehousing time); and logistics scheduling template (task number, delivery destination, transportation method, estimated arrival time, and carrier). The task data from Q11 to Q105 are organized according to the templates to form standardized data (e.g., Q11 order data is entered using the "order management template," and Q13 assembly data is entered using the "progress tracking template").

[0093] During the data warehouse establishment phase, three warehouses are constructed and linked through multi-dimensional data warehouse establishment units: Project Warehouse, which stores the project name, person in charge, and cycle of P1-P10; Task Warehouse, which stores the task number, project, stage, and business function of Q11-Q105; and Functional Data Warehouse, which stores four types of standardized data and is linked to the Task Warehouse through "Task Number".

[0094] Step S2: Based on the data templates generated by the data templates of each supply chain data in the functional data warehouse, evaluate the degree of synergy between tasks in the supply chain links, and integrate the tasks in the supply chain links to obtain a set of collaborative management tasks;

[0095] For example, supply chain managers, based on supply chain business functions, template each piece of supply chain data in the functional data warehouse and then assess the synergy between tasks in the supply chain process. In the formula, This represents the task in the v-th link of the supply chain under the u-th supply chain project. Indicating supply chain links With supply chain links The degree of synergy between them, n≠u and m≠v, Indicating functional data warehouse With functional data warehouse The amount of supply chain data contained in the intersection set between them Indicating functional data warehouse With functional data warehouse The number of supply chain data contained in the union set. Represents supply chain data The number of data templates that exist after templating. Represents supply chain data The number of updated data templates in the templated data template, where the update includes adding or removing data from the data templates. Then let ;

[0096] After evaluating the synergy between tasks in the supply chain by combining them in pairs, the average synergy is calculated. Tasks in the supply chain with a synergy greater than or equal to the average synergy are extracted and summarized to generate a set of collaborative management tasks.

[0097] For example, when retrieving templated data, the standardized data for Q11 (P1 chip procurement) and Q13 (P1 complete machine assembly) are retrieved. The order data for Q11 includes "chip model, delivery time, and quantity", while the progress data for Q13 includes "chip model, required quantity, and start time".

[0098] Step S3: Integrate the execution time nodes of each supply chain link task in the collaborative management task set to obtain the link execution time set; and collect all supply chain link tasks under the same link execution time node to generate a task execution set;

[0099] For example, the execution time nodes of each task in the supply chain link of the collaborative management task set are obtained, and the execution time nodes are deduplicated to generate a set of execution time nodes, denoted as . ,in, Let e ​​represent the execution time node of the e-th step, where E represents the total number of execution time nodes of the steps, and each execution time node of a step corresponds to at least one task in the supply chain.

[0100] The execution time of each stage is concentrated into a single stage execution time node as a task node for dynamic optimization, and the execution time nodes of the same stage are collected. All tasks in the supply chain are processed, and a task execution set is generated, denoted as... ;

[0101] For example, when collecting time nodes, the execution time nodes of 32 collaborative tasks are collected, such as Q11 (2024-11-01), Q13 (2024-11-03), Q22 (2024-11-01), and Q23 (2024-11-03). The time set is generated, and after deduplication, the execution time set of each stage is obtained, t1 (2024-11-01), t2 (2024-11-03), and t3 (2024-11-05).

[0102] Step S4: Based on the task execution set, evaluate the task dispersion and project dispersion of the execution time nodes of the process. Through the task dispersion and project dispersion, evaluate the execution urgency of the current execution time node before entering the next execution time node, and output it to the management end.

[0103] In the task execution set The sources of tasks in the supply chain are statistically analyzed. If the tasks in the supply chain are... The source is the supply chain project For supply chain projects Perform a calibration to define the supply chain project. The number of times it is marked is denoted as And assess the project dispersion at each execution time point. ;

[0104] Based on task dispersion and project dispersion, assess the urgency of the current stage's execution time point before moving to the next stage's execution time point. ;

[0105] A preset urgency threshold is set; if the urgency is exceeded... If the timeframe is greater than or equal to the urgency threshold, then the execution time of the process will be adjusted. Task execution set Send to the administrator's port, along with the attached task execution set. Information on the origin of tasks at each link in the supply chain;

[0106] For example, when the simulated "sudden increase in tasks P4 at node t2" causes A(t2→t3)=0.25, the system pushes an early warning within 5 minutes, and the management personnel promptly allocate production resources to avoid delays at node t3, thus verifying the dynamic response effect.

[0107] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0108] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A cloud-based collaborative supply chain link dynamic management method, characterized in that, The method includes the following steps: Step S1: Configure supply chain project information uniformly in the cloud, including supply chain projects, supply chain link tasks and supply chain data under supply chain link tasks, and establish a data warehouse, including supply chain project warehouse, supply chain link task warehouse and functional data warehouse. Step S2: Based on the data templates generated by the data templates of each supply chain data in the functional data warehouse, evaluate the degree of synergy between tasks in the supply chain links, and integrate the tasks in the supply chain links to obtain a set of collaborative management tasks; The specific implementation process of step S2 includes: Supply chain managers, based on supply chain business functions, template each piece of supply chain data in the functional data warehouse and then assess the synergy between tasks in the supply chain process. In the formula, This represents the nth supply chain project. Indicates supply chain project The m-th task in the supply chain. Indicates tasks in the supply chain. The i-th function data below; This represents the task in the v-th link of the supply chain under the u-th supply chain project. Indicating supply chain links With supply chain links The degree of synergy between them, n≠u and m≠v, Indicating functional data warehouse With functional data warehouse The amount of supply chain data contained in the intersection set between them Indicating functional data warehouse With functional data warehouse The number of supply chain data contained in the union set. Represents supply chain data The number of data templates that exist after templating. Represents supply chain data The number of updated data templates in the templated data template, where the update includes adding or removing data from the data templates. Then let ; After evaluating the synergy between tasks in the supply chain by combining them in pairs, the average synergy is calculated. Tasks in the supply chain with a synergy greater than or equal to the average synergy are extracted and summarized to generate a set of collaborative management tasks. Step S3: Integrate the execution time nodes of each supply chain link task in the collaborative management task set to obtain a link execution time set; and collect all supply chain link tasks under the same link execution time node to generate a task execution set; the specific implementation process of step S3 includes: Obtain the execution time nodes of each task in the supply chain from the collaborative management task set, and deduplicate these execution time nodes to generate a set of execution time nodes, denoted as . ,in, Let e ​​represent the execution time node of the e-th step, where E represents the total number of execution time nodes of the steps, and each execution time node of a step corresponds to at least one task in the supply chain. The execution time of each stage is concentrated into a single stage execution time node as a task node for dynamic optimization, and the execution time nodes of the same stage are collected. All tasks in the supply chain are processed, and a task execution set is generated, denoted as... ; Step S4: Based on the task execution set, evaluate the task dispersion and project dispersion of the execution time nodes in the process. Using the task dispersion and project dispersion, assess the execution urgency of the current execution time node before moving to the next execution time node, and output the result to the management terminal. The specific implementation process of step S4 includes: Based on task execution set The task dispersion of the evaluation process execution time nodes In the formula, Let r represent the execution time of the r-th stage, where r ≠ e. Indicates task execution set With task execution set The number of tasks in the supply chain links included in the intersection set; In the task execution set The sources of tasks in the supply chain are statistically analyzed. If the tasks in the supply chain are... The source is supply chain projects For supply chain projects Perform a calibration to define the supply chain project. The number of times it is marked is denoted as And assess the project dispersion at each execution time point. SCP stands for Supply Chain Project Warehouse; Based on task dispersion and project dispersion, assess the urgency of the current stage's execution time point before moving to the next stage's execution time point. ; A preset urgency threshold is set; if the urgency is exceeded... If the timeframe is greater than or equal to the urgency threshold, then the execution time of the process will be adjusted. Task execution set Send to the administrator's port, along with the attached task execution set. Information on the origin of tasks at each link in the supply chain.

2. The method for dynamic management of supply chain links based on cloud collaboration according to claim 1, characterized in that: The specific implementation process of step S1 includes: The cloud-based unified configuration of supply chain project information includes supply chain project number, supply chain link task number, and supply chain data under the supply chain link task; the supply chain links are uniformly configured based on the supply chain business chain; the supply chain link tasks are uniformly configured based on the supply chain business functions; and the supply chain data is templated based on the supply chain business functions to form standardized supply chain business function data. A unified data warehouse is established in the cloud, including a supply chain project warehouse, a supply chain task warehouse, and a functional data warehouse, which are respectively denoted as... , and .

3. A cloud-based collaborative supply chain dynamic management system, executing the cloud-based collaborative supply chain dynamic management method as described in any one of claims 1-2, characterized in that, The system includes: a cloud information configuration and data warehouse construction module, a collaboration evaluation and task integration module, a time node integration and task execution set generation module, a dispersion and urgency evaluation module, and a management terminal interaction module. The cloud-based information configuration and data warehouse construction module is used to uniformly configure all information of supply chain projects in the cloud and establish a multi-dimensional data warehouse that includes supply chain project warehouse, supply chain link task warehouse and functional data warehouse, so as to realize centralized storage and association of information. The collaboration assessment and task integration module is used to retrieve templated supply chain data from the functional data warehouse, assess the degree of collaboration between tasks in different supply chain links, screen high-collaboration tasks, and summarize them into a collaborative management task set. The time node integration and task execution set generation module is used to collect the execution time nodes of all tasks in the collaborative management task set, deduplicate them to form a stage execution time set, and then collect all tasks under each time node to construct the task execution set. The dispersion and urgency assessment module is used to calculate the task dispersion and project dispersion of the execution time node of the task execution set, and to assess the execution urgency of the current execution time node by combining the difference between the two. The management interaction module is used to push the execution urgency results and the source information of the corresponding task execution set to the management terminal, supporting managers to view and make decisions in real time.

4. The cloud-based collaborative supply chain dynamic management system according to claim 3, characterized in that: The cloud-based information configuration and data warehouse construction module includes a supply chain information configuration unit, a supply chain data template unit, and a multi-dimensional data warehouse establishment unit. The supply chain information configuration unit is used to configure each link of the supply chain according to the supply chain business chain, split and configure the link tasks according to the supply chain business functions, and simultaneously input the supply chain project number, task number and task association data. The supply chain data template unit is used to formulate a unified data template for supply chain data with the same business function, organize similar data under different tasks according to the template format, eliminate format differences and form standardized supply chain business function data. The multi-dimensional data warehouse building unit is used to build supply chain project warehouse, supply chain link task warehouse and functional data warehouse respectively, and to establish a correlation index for the data of the three warehouses.

5. A cloud-based collaborative supply chain dynamic management system according to claim 3, characterized in that: The collaboration assessment and task integration module includes a templated data retrieval unit, a task collaboration calculation unit, and a collaborative task set generation unit. The templated data retrieval unit is used to accurately retrieve standardized data of the corresponding category from the functional data warehouse according to the business function type of the task in the supply chain link. The task collaboration calculation unit is used to calculate the collaboration degree between tasks by comparing the intersection and union data of the standardized data of two tasks and combining the update validity of the data template in the intersection. The collaborative task set generation unit is used to calculate the average value of the collaboration degree of all tasks, filter out supply chain tasks with a collaboration degree greater than or equal to the average value, and summarize them according to business links to form a collaborative management task set.

6. The cloud-based collaborative supply chain dynamic management system according to claim 3, characterized in that: The time node integration and task execution set generation module includes a process time node acquisition unit, a process time set generation unit, and a task execution set construction unit; The time node acquisition unit is used to collect the planned execution time node or historical execution time node of each task in the collaborative management task set to form an original time node list. The process time set generation unit is used to deduplicate and sort the original time node list to generate a process execution time set containing unique process execution time nodes, with each process execution time node corresponding to at least one supply chain process task. The task execution set construction unit is used to treat each execution time node in the process execution time set as an independent management and control unit, collect all related supply chain process tasks under that execution time node, and generate a task execution set containing task name, project to which it belongs, and business function.

7. A cloud-based collaborative supply chain dynamic management system according to claim 3, characterized in that: The dispersion and urgency assessment module includes a task dispersion calculation unit, a project dispersion statistics unit, an execution urgency assessment unit, and an urgency threshold judgment unit. The task dispersion calculation unit is used to calculate the number of task intersections between the task execution set at the current stage execution time node and all other task execution sets, and take the average value as the task dispersion. The project dispersion statistics unit is used to count the source of tasks in each supply chain link in the task execution set at each link execution time node, calculate the absolute value of the difference between the current link execution time node and the number of times the same supply chain project is calibrated at other link execution time nodes, and obtain the project dispersion after normalization. The execution urgency assessment unit is used to calculate the execution urgency by taking the task dispersion difference and project dispersion difference between the current execution time node and the next execution time node as two-dimensional parameters and using the Euclidean distance formula. The urgency threshold judgment unit is used to preset the execution urgency threshold. If the urgency of the current node reaches or exceeds the threshold, the management terminal interaction module will be triggered to push early warning information.

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