Intelligent supply chain collaborative management system and method based on IaaS platform

Abstract

The invention discloses an intelligent supply chain collaborative management system and method based on an IaaS platform in the technical field of supply chain management. The method comprises the following steps: detecting whether a demand side issues an order at an order processing system; when a demand side issues an order at the order processing system, multi-source heterogeneous data of supply chain collaborative management is obtained through IaaS platform scheduling, and the multi-source heterogeneous data is sent to the order processing system, the settlement management system and the payment management module; after the supplier credit index calculated by the order processing system is received, the supplier credit index is pushed to the abnormity management module for branch supplier rectification judgment; after receiving the checked amount payable calculated by the settlement management system, synchronizing the amount to a financial system for invoicing operation; and after receiving the fund gap predicted value calculated by the payment management module, inputting the fund gap predicted value into the fund planning module for credit distribution adjustment. According to the invention, functions of order processing, settlement management, payment tracking and the like are integrated, so that full-process data closed-loop management and control of supply and demand parties are realized, and the problem of information lag is solved.

Description

Technical Field

[0001] The present invention relates to an intelligent supply chain collaborative management system and method based on an IaaS platform, belonging to the technical field of supply chain management. Background Art

[0002] IaaS (Infrastructure as a Service) is a cloud computing service model that focuses on pushing computing resources and data processing capabilities to the edge of the network to achieve faster data response and lower latency. It provides a cloud platform to connect and manage globally distributed edge devices, thereby improving system availability and responsiveness. For example, in the Industrial Internet, IaaS can be used for scenarios such as real-time monitoring of device status and optimizing production processes.

[0003] The existing traditional supply chain management system has the defect of information fragmentation. The order, settlement and payment links are separated, and manual data synchronization across systems is required, resulting in information lag. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide an intelligent supply chain collaborative management system and method based on the IaaS platform. By integrating functions such as order processing, settlement management, and payment tracking, it can achieve closed-loop control of the entire process data between the supply and demand sides, and solve the problem of information lag.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions: In a first aspect, the present invention provides an intelligent supply chain collaborative management method based on an IaaS platform, comprising: Check whether the demander has placed an order in the order processing system; When the demander places an order in the order processing system, the IaaS platform dispatches and obtains multi-source heterogeneous data for supply chain collaborative management, and sends it to the order processing system, settlement management system, and payment management module; After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for supplier rectification judgment; After receiving the verified payable amount calculated by the settlement management system, it is synchronized to the financial system for invoicing; After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module for credit allocation adjustment.

[0006] Furthermore, the multi-source heterogeneous data include: order response delay time, contractually agreed response threshold, product quality qualification rate and service evaluation score for calculating the supplier credit index; basic settlement amount, actual delivery volume, order demand, delay penalty rate, actual delivery date and contractually agreed delivery date for calculating the amount payable after verification; and the amount of settlement orders to be paid, settlement cycle standard deviation and total amount of funds to be allocated for calculating the funding gap forecast value.

[0007] Furthermore, the calculation formula of the supplier credit index is: Where: is the supplier credit index, The order response delay time, is the contractually agreed response threshold, For the quality pass rate of goods, Score the service evaluation. is the weight coefficient.

[0008] Furthermore, after receiving the supplier credit index calculated by the order processing system based on multi-source heterogeneous data, it is pushed to the exception management module for sub-supplier rectification judgment, including: comparing the supplier credit index with the preset exception threshold, and automatically triggering the sub-supplier rectification process in response to the supplier credit index being less than the preset exception threshold, otherwise no processing is performed.

[0009] Furthermore, the calculation formula for the amount payable after verification is: Where: The amount payable after verification. is the basic settlement amount, is the performance incentive coefficient, The actual delivery volume, is the order demand, is the penalty rate for delay, is the actual delivery date, The delivery date agreed in the contract.

[0010] Furthermore, the calculation formula for the predicted value of the funding gap is: Where: is the predicted value of the funding gap, Pay the weight for the kth type of settlement order, The amount of the settlement order to be paid. is the risk adjustment factor, is the settlement period standard deviation, is the total amount of funds to be allocated, The supplier credit index.

[0011] Furthermore, after receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module for credit allocation adjustment, including: optimizing the funding allocation for the next week based on the funding gap forecast value, and when the funding gap forecast value is greater than zero, sorting and paying supplier orders in descending order of supplier credit index.

[0012] In a second aspect, the present invention provides an intelligent supply chain collaborative management system based on an IaaS platform, comprising: Order detection module: detects whether the demander has placed an order in the order processing system; Data dispatch module: In response to the demander placing an order in the order processing system, the module dispatches and obtains multi-source heterogeneous data for supply chain collaborative management through the IaaS platform and sends it to the order processing system, settlement management system, and payment management module; Correction determination module: After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for correction determination of each supplier; Financial Settlement Module: Receives the verified payable amount calculated by the settlement management system and synchronizes it to the financial system for invoicing. Funding adjustment module: After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module to make credit allocation adjustments.

[0013] In a third aspect, the present invention provides an intelligent supply chain collaborative management device based on an IaaS platform, comprising a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of any of the above methods.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This solution integrates functions such as order processing, settlement management, and payment tracking to achieve closed-loop data control for the entire process between supply and demand, solving the problem of information lag. At the same time, this solution connects the order, fulfillment, settlement, and payment data chains, eliminates delays caused by manual intervention, improves response efficiency, and realizes automated collaboration throughout the entire process. Cash flow forecasts are combined with credit evaluation to achieve proactive risk interception based on real-time data, reducing the idle capital rate compared to traditional static budgets, and further strengthening dynamic risk control. Supplier evaluation is expanded from a single order to historical behavior analysis, avoiding the imbalance in cooperation caused by traditional subjective evaluation, and further improving decision-making accuracy. The IaaS platform dynamically schedules resources according to computing load, reducing operation and maintenance complexity compared to traditional fixed server deployment, and significantly optimizing resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 This is a flow chart of an intelligent supply chain collaborative management method based on an IaaS platform provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other.

[0018] The following detailed description is an exemplary description and is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0019] Example 1: See also Figure 1 This embodiment proposes an intelligent supply chain collaborative management method based on the IaaS platform. The overall architecture of the solution adopts a three-layer architecture consisting of a data layer, an algorithm layer, and an application layer. The data layer is used to integrate multi-source heterogeneous data such as demander order data, supplier delivery notes, settlement bills, and payment flows; the algorithm layer is used to drive decision-making through three core algorithms: dynamic credit evaluation, intelligent settlement verification, and cash flow prediction; and the application layer is used to achieve an automated closed loop of order tracking, exception management, and hierarchical control of suppliers.

[0020] This solution applies IaaS resource scheduling logic to supply chain collaboration scenarios, establishing a dynamic optimization mechanism for "demand-fulfillment-settlement-payment" through real-time data feedback. By integrating order processing, settlement management, payment tracking, and exception monitoring functions, it achieves closed-loop data control for the entire process between supply and demand. The data flow path is: the demander places an order → the IaaS platform schedules computing resources → the order processing system generates and tracks the order → the settlement management system triggers settlement → the payment management module plans funds → exception management feedback is provided to the decision-making end. Among them, the IaaS platform provides elastic computing resources, the order processing system and the settlement management system share data through APIs, and the core algorithms are deployed on distributed computing nodes, specifically including: 1. The data analysis module of the order processing system combines the supplier's dynamic credit evaluation model to calculate the supplier's credit index in real time. The calculation formula of the supplier's dynamic credit evaluation model is:

[0021] Where: The supplier credit index ranges from 0 to 1, with higher values ​​indicating higher credit ratings. The order response delay is derived from the order processing log of the order processing system. This is the contractually agreed response threshold, which comes from the contract library of the settlement management system; The product quality qualification rate is derived from the demander's acceptance data; The service evaluation score comes from the feedback from the demand side; is the weight coefficient. In this embodiment, the values ​​are 0.4, 0.3, and 0.3, which are obtained through training with historical data.

[0022] This scheme calculates The value is pushed to the exception management module. In this embodiment, when When the error is less than 0.6 (preset abnormal threshold), the supplier rectification process will be automatically triggered; otherwise, no action will be taken; 2. The settlement engine of the settlement management system calculates the amount payable after verification based on the intelligent settlement verification formula. The intelligent settlement verification formula is:

[0023] Where: The amount payable after verification; is the basic settlement amount, derived from the contract terms; The performance incentive coefficient is preset by the management rules; The actual delivery quantity comes from the delivery note of the settlement management system; The order demand comes from the order records of the order processing system; is the delay penalty rate, which is derived from the contract terms; is the actual delivery date, which comes from the logistics system; The delivery date agreed in the contract, which comes from the settlement management system; This scheme calculates Synchronize to the financial system, and the financial system will issue invoices based on the verified payable amount to avoid overpayment; 3. The payment management module calculates the funding gap forecast value daily based on the funding flow forecast model to guide funding planning. The calculation formula of the funding flow forecast model is:

[0024] Where: is the predicted value of the funding gap; is the payment weight of the kth type of settlement order, which is derived from the regression of historical payment data; The amount of the settlement order to be paid comes from the payment queue of the settlement management system; It is a risk adjustment factor, which is dynamically adjusted according to the output of the exception management module; The standard deviation of the settlement cycle is calculated from the payment management ledger. The total amount of funds to be allocated comes from the financial system; This scheme calculates Input the capital planning module to dynamically adjust the allocation of letter of credit quotas. When the predicted capital gap value is greater than zero, priority will be given to paying orders from suppliers with the highest credit index, reducing the risk of project bad debts.

[0025] This example takes the purchase of building materials by a demander as an example: (1) Order generation: The demander places an order in the order processing system, and the demand = 1000 pieces; Performance monitoring: actual delivery by sub-supplier =980 items, delay time =12 hours; (2) Settlement stage: Calculating supplier credit : =24 hours, =98%, =4.2→ =0.86; calculate the amount payable : =100,000 yuan, =0.08, =0.5%→ = 99,200 yuan (deduction due to shortage and delay); (3) Payment plan: withdrawal =5.2 days (the historical standard deviation of this supplier), =0.9 (no abnormality in the past 3 days), =500,000 yuan; forecast Used to optimize fund allocation for next week and give priority to paying orders from high-credit suppliers.

[0026] This solution achieves full-process automation and collaboration by connecting the order, fulfillment, settlement, and payment data chains, eliminating manual intervention delays and improving response efficiency. Cash flow forecasts are combined with credit ratings to proactively intercept risks based on real-time data, reducing idle funds compared to traditional static budgets and further strengthening dynamic risk control. Supplier evaluation is expanded from single orders to historical behavior analysis, avoiding the imbalance in cooperation caused by traditional subjective evaluations and further improving decision-making accuracy. The IaaS platform dynamically schedules resources based on computing load, reducing operation and maintenance complexity compared to traditional fixed server deployments and significantly optimizing resource utilization.

[0027] Example 2: An intelligent supply chain collaborative management system based on an IaaS platform can implement the intelligent supply chain collaborative management method based on an IaaS platform described in Example 1, including: Order detection module: detects whether the demander has placed an order in the order processing system; Data dispatch module: In response to the demander placing an order in the order processing system, the module dispatches and obtains multi-source heterogeneous data for supply chain collaborative management through the IaaS platform and sends it to the order processing system, settlement management system, and payment management module; Correction determination module: After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for correction determination of each supplier; Financial Settlement Module: Receives the verified payable amount calculated by the settlement management system and synchronizes it to the financial system for invoicing. Funding adjustment module: After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module to make credit allocation adjustments.

[0028] Example 3: The embodiment of the present invention further provides an intelligent supply chain collaborative management device based on an IaaS platform, which can implement the intelligent supply chain collaborative management method based on an IaaS platform described in the first embodiment, including a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the following method: Check whether the demander has placed an order in the order processing system; When the demander places an order in the order processing system, the IaaS platform dispatches and obtains multi-source heterogeneous data for supply chain collaborative management, and sends it to the order processing system, settlement management system, and payment management module; After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for supplier rectification judgment; After receiving the verified payable amount calculated by the settlement management system, it is synchronized to the financial system for invoicing; After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module for credit allocation adjustment.

[0029] Example 4: An embodiment of the present invention further provides a computer-readable storage medium that can implement the intelligent supply chain collaborative management method based on an IaaS platform described in Example 1. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the following method steps: Check whether the demander has placed an order in the order processing system; When the demander places an order in the order processing system, the IaaS platform dispatches and obtains multi-source heterogeneous data for supply chain collaborative management, and sends it to the order processing system, settlement management system, and payment management module; After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for supplier rectification judgment; After receiving the verified payable amount calculated by the settlement management system, it is synchronized to the financial system for invoicing; After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module for credit allocation adjustment.

[0030] It is understood from common technical knowledge that the present invention may be implemented by other embodiments that do not depart from its spirit or essential features. Therefore, the embodiments disclosed above are, in all respects, merely illustrative and not exclusive. All modifications within the scope of the present invention or equivalent to the scope of the present invention are intended to be encompassed by the present invention.

[0031] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0032] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0033] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0034] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0035] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. An intelligent supply chain collaborative management method based on an IaaS platform, characterized by: include: Check whether the demander has placed an order in the order processing system; When the demander places an order in the order processing system, the IaaS platform dispatches and obtains multi-source heterogeneous data for supply chain collaborative management, and sends it to the order processing system, settlement management system, and payment management module; After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for supplier rectification judgment; After receiving the verified payable amount calculated by the settlement management system, it is synchronized to the financial system for invoicing; After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module for credit allocation adjustment.

2. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: The multi-source heterogeneous data include: order response delay time, contractually agreed response threshold, product quality qualification rate and service evaluation score for calculating supplier credit index; basic settlement amount, actual delivery volume, order demand, delay penalty rate, actual delivery date and contractually agreed delivery date for calculating the amount payable after verification; and the amount of settlement orders to be paid, settlement cycle standard deviation and total amount of funds to be allocated for calculating the funding gap forecast value.

3. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: The calculation formula of the supplier credit index is: Where: is the supplier credit index, The order response delay time, is the contractually agreed response threshold, For the quality pass rate of goods, Score the service evaluation. is the weight coefficient.

4. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: After receiving the supplier credit index calculated by the order processing system based on multi-source heterogeneous data, it is pushed to the exception management module for sub-supplier rectification judgment, including: comparing the supplier credit index with the preset exception threshold, and automatically triggering the sub-supplier rectification process in response to the supplier credit index being less than the preset exception threshold, otherwise no action is taken.

5. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: The calculation formula for the amount payable after verification is: Where: The amount payable after verification. is the basic settlement amount, is the performance incentive coefficient, The actual delivery volume, is the order demand, is the penalty rate for delay, is the actual delivery date, The delivery date agreed in the contract.

6. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: The calculation formula for the predicted funding gap is: Where: is the predicted value of the funding gap, Pay the weight for the kth type of settlement order, The amount of the settlement order to be paid. is the risk adjustment factor, is the settlement period standard deviation, is the total amount of funds to be allocated, The supplier credit index.

7. The intelligent supply chain collaborative management method based on the IaaS platform according to claim 1 is characterized in that: After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module to make credit allocation adjustments, including: optimizing the funding allocation for the next week based on the funding gap forecast value; when the funding gap forecast value is greater than zero, sorting and paying supplier orders in descending order of supplier credit index.

8. An intelligent supply chain collaborative management system based on the IaaS platform, characterized by: include: Order detection module: detects whether the demander has placed an order in the order processing system; Data dispatch module: In response to the demander placing an order in the order processing system, the module dispatches and obtains multi-source heterogeneous data for supply chain collaborative management through the IaaS platform and sends it to the order processing system, settlement management system, and payment management module; Correction determination module: After receiving the supplier credit index calculated by the order processing system, it is pushed to the exception management module for correction determination of each supplier; Financial Settlement Module: Receives the verified payable amount calculated by the settlement management system and synchronizes it to the financial system for invoicing. Funding adjustment module: After receiving the funding gap forecast value calculated by the payment management module, it is input into the funding planning module to make credit allocation adjustments.

9. An intelligent supply chain collaborative management device based on an IaaS platform, characterized by: including processors and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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