A system, method, and program product for risk assessment of a supply chain

Abstract

The application provides a risk assessment system, method and program product of a supply chain. It relates to the technical field of artificial intelligence, comprising: an external dynamic risk identification module, configured to send external risks to a risk transmission module; the risk transmission module is configured to send a first risk result to an interruption risk identification module; the interruption risk identification module is configured to identify the first risk result to obtain internal risks, and send the internal risks to the risk transmission module or a risk decision evaluation module; the risk transmission module is further configured to obtain a second risk result corresponding to indirect internal risks, and when it is determined that the second risk result is of a quantitative nature, the second risk result is sent to a risk early warning module. Through the combination of dynamic external risk identification and interruption internal risk identification, the risks of the supply chain are identified in all aspects, and corresponding risk decisions are made according to the risk identification conditions. The efficiency of risk management is improved, and the increasingly complex enterprise risk management requirements are met.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of artificial intelligence, and in particular to a supply chain risk assessment system, method and program product. BACKGROUND

[0002] A supply chain is a network of interconnected organizations that work together to meet the needs of customers, and usually includes suppliers, manufacturers, distributors, retailers and users. Supply chain risk management is the application of risk management processes and tools to address risks or uncertainties arising from activities or resources in the supply chain, either individually or in collaboration with partners in the supply chain.

[0003] In current supply chain risk management, various risks faced by the supply chain are generally considered as independent management objects, and the focus of risk management is on financial risk and business risk. However, this management method is not only inefficient, but also not comprehensive, so the existing supply chain risk management cannot meet the increasingly complex enterprise risk management needs. SUMMARY

[0004] The present application provides a supply chain risk assessment system, method and program product to achieve comprehensive risk assessment of the supply chain.

[0005] In a first aspect, the present application provides a supply chain risk assessment system, comprising: an external dynamic risk identification module for identifying a target supply chain using an external risk identification model to obtain external risks and sending the external risks to a risk transmission module;

[0006] The risk transmission module is configured to obtain a first risk result corresponding to the external risk and send the first risk result to an interruption risk identification module;

[0007] The interruption risk identification module is configured to identify the first risk result to obtain internal risks and send the internal risks to the risk transmission module or a risk decision assessment module, wherein the types of internal risks include direct internal risks or indirect internal risks;

[0008] The risk transmission module is further configured to obtain a second risk result corresponding to the indirect internal risk, and when it is determined that the second risk result is of a quantitative nature, the second risk result is sent to a risk warning module;

[0009] The risk warning module is configured to perform risk warning according to the second risk result;

[0010] The risk decision assessment module is configured to determine a direct assessment strategy according to the direct internal risk.

[0011] In a second aspect, the application provides a risk assessment method for a supply chain, which applies the system described above, and includes: obtaining external risks by identifying a target supply chain using an external risk identification model of an external dynamic risk identification module, and sending the external risks to a risk transmission module;

[0012] obtaining a first risk result corresponding to the external risks by the risk transmission module, and sending the first risk result to an interrupt risk identification module;

[0013] obtaining internal risks by identifying the first risk result using the interrupt risk identification module, and sending the internal risks to the risk transmission module or a risk decision evaluation module, wherein the types of the internal risks include direct internal risks or indirect internal risks;

[0014] obtaining a second risk result corresponding to the indirect internal risks by the risk transmission module, and sending the second risk result to a risk early warning module when the second risk result is determined to be quantitative;

[0015] performing risk early warning according to the second risk result by the risk early warning module;

[0016] determining a direct evaluation strategy according to the direct internal risks by the risk decision evaluation module.

[0017] In a third aspect, the application provides an electronic device, which includes a processor and a memory connected to the processor in communication;

[0018] The memory stores computer execution instructions.

[0019] The processor executes the computer execution instructions stored in the memory to implement the method described in the application.

[0020] In a fourth aspect, the application provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are used to implement the method described in the application when executed by a processor.

[0021] In a fifth aspect, the application provides a computer program product, which includes a computer program, and the computer program is used to implement the method described in the application when executed by a processor.

[0022] The application combines dynamic external risk identification and interrupt internal risk identification, can comprehensively identify the risks of a supply chain, and makes corresponding risk decisions according to the risk identification conditions. Therefore, the efficiency of risk management is improved, and the increasingly complex enterprise risk management requirements are met. BRIEF DESCRIPTION OF DRAWINGS

[0023] The accompanying drawings, which are incorporated herein and constitute part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.

[0024] Figure 1 A structural schematic diagram of a risk assessment system of a supply chain provided for an embodiment of the application is shown in FIG. 1.

[0025] Figure 2 A flowchart of a risk assessment method of a supply chain provided for an embodiment of the application is shown in FIG. 2.

[0026] Figure 3 A structural schematic diagram of an electronic device provided for an embodiment of the application is shown in FIG. 3.

[0027] The specific embodiments of the application have been shown through the above drawings, and will be described in more detail hereinafter. These drawings and the written description are not intended to restrict the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0028] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The same or similar components are denoted by the same reference numerals throughout the drawings and the following description, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not meant to represent all embodiments consistent with the application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the application as detailed in the appended claims.

[0029] The technical solutions of the application and how the technical solutions of the application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the application will be described below with reference to the drawings. The acquisition, storage, use, processing, etc. of data in the technical solutions of the application comply with the relevant provisions of national laws and regulations

[0030] Embodiment One

[0031] Figure 1 A structural schematic diagram of a risk assessment system of a supply chain provided for an embodiment of the application is shown in FIG. 1. Figure 1 The system mainly includes an external dynamic risk identification module 11, a risk transmission module 12, an interruption risk identification module 13, a risk early warning module 14, and a risk decision evaluation module 15.

[0032] The external dynamic risk identification module 11 is configured to identify a target supply chain by using an external risk identification model to obtain external risks, and send the external risks to the risk transmission module; the risk transmission module 12 is configured to obtain a first risk result corresponding to the external risks, and send the first risk result to the interruption risk identification module; the interruption risk identification module 13 is configured to identify the first risk result to obtain internal risks, and send the internal risks to the risk transmission module or the risk decision evaluation module, wherein the internal risks include direct internal risks or indirect internal risks; the risk transmission module 12 is further configured to obtain a second risk result corresponding to the indirect internal risks, and when it is determined that the second risk result is of a quantitative nature, send the second risk result to the risk early warning module; the risk early warning module 14 is configured to perform risk early warning according to the second risk result; and the risk decision evaluation module 15 is configured to determine a direct evaluation strategy according to the direct internal risks.

[0033] Optionally, the external dynamic risk identification module is further configured to obtain sample events of external risks of enterprise entities by using a natural language recognition algorithm; import the sample events into a graph model in a specified format, and construct an external risk identification model based on the graph model by using a specified algorithm.

[0034] Specifically, in the embodiment, the external dynamic risk identification module will embed related enterprise entities involved in the supply chain in the graph data, and collect industry research reports related to enterprise procurement goods, information of main suppliers of procurement goods, information of downstream sales parties, enterprise management systems, financial report information and shareholder pledge information and the like on the public network on a regular basis, extract risk events of the related enterprise entities by using a natural language recognition algorithm, take the extracted enterprise events as sample events of external risks of the enterprise entities, import the sample events into a <entity 1> <relationship> <date / time> <entity 2> graph model, and construct an external risk identification model by using a specified algorithm, and the external risk types that can be identified by the model include market risks, economic risks, supplier risks, user risks and environmental risks and the like. Of course, the embodiment is only an example and does not specifically limit the external risk types involved.

[0035] Optionally, the risk transmission model includes: a credit risk transmission model through transaction association, a risk transmission model through asset association, a macroeconomic factor induced risk transmission model, an information effect induced risk transmission model, an asset price fluctuation induced risk transmission model, a stock equity pledge induced risk transmission model and an international environment induced risk transmission model.

[0036] The credit risk transmission model associated with transactions mainly includes: downstream (upstream) enterprise market competitiveness decreases → upstream enterprise order decreases (downstream enterprise production material supply is insufficient) → profit decreases → credit quality deteriorates → credit risk breaks out → upstream (downstream) enterprise financial condition deteriorates → upstream (downstream) enterprise default rate increases, and the like. The risk transmission model associated with assets mainly includes: financing enterprise defaults → stock investors' income is damaged (guarantee enterprises are forced to repay debts) → associated enterprise credit condition deteriorates → associated enterprise default rate increases, and the like. The risk transmission model caused by macroeconomic factors mainly includes: macroeconomic downturn changes → enterprise operating loss or debt accumulation → enterprise default rate increases → associated enterprise credit condition deteriorates, and the like. And the risk transmission model caused by information effect, the risk transmission model caused by asset price fluctuation, the risk transmission model caused by equity pledge and the risk transmission model caused by international environment also include corresponding related links. Of course, the embodiments only exemplify and do not limit the related links involved in each risk transmission model.

[0037] Optionally, the risk transmission module is configured to determine a first risk transmission model matched with the external risk, and call the first risk transmission model to obtain a first risk result corresponding to the external risk.

[0038] Specifically, in the embodiments, the supply chain X input into the external dynamic risk identification module is identified by using the constructed external risk identification model, and the external risk a can be obtained, for example, the external risk a can be a rising sea freight price. The external dynamic risk identification module sends the external risk a to the risk transmission module, and the risk transmission module determines a first risk transmission model A matched with the external risk a after obtaining the external risk a. For example, the first risk transmission model A can be a credit risk transmission model associated with transactions, and the first risk transmission model A can be used to obtain a first risk result corresponding to the external risk a, for example, a delayed delivery time. The risk transmission model transmits the obtained first risk result to the interruption risk identification module.

[0039] The interruption risk identification module is mainly established based on real-time order demand, on-the-way orders and inventory production materials. The elastic supplier selection and optimal order allocation are set in the interruption risk identification module. The probability of supplier failure and the loss caused by the entire failure to the supply partner are calculated, so that the interruption risk possibility of the supply chain can be periodically warned. Therefore, the interruption risk identification module can identify the first letter result input by the risk transmission module to obtain the internal risk b. The types of internal risk include direct internal risk or indirect internal risk. For example, when it is determined that the transportation order corresponding to the supply chain X is 100 tons of materials, when the arrival time of the materials is determined, the inventory and on-the-way same type materials of the supply chain corresponding to the supply chain are obtained. When it is determined that the inventory and on-the-way same type materials of the supply chain are only 50 tons, it is indicated that even through the allocation, the supply chain demand cannot be met. At this time, it is determined that the obtained is a direct internal risk b1, that is, the inventory and on-the-way same type materials of the current supply chain cannot meet the allocation demand. When it is determined that the inventory and on-the-way same type materials of the supply chain are 200 tons, it is indicated that the supply chain side can meet the supply chain demand through the allocation. At this time, it is determined that the obtained is an indirect internal risk b2, that is, the inventory and on-the-way same type materials of the current supply chain can meet the allocation demand.

[0040] It should be noted that when the interruption risk identification module obtains the direct internal risk b1, the direct internal risk is sent to the risk decision evaluation module. The risk decision evaluation module is used for determining a direct evaluation strategy according to the direct internal risk. The risk decision evaluation module in the embodiment has relied on a graph computing platform to establish a simulation evaluation model of an enterprise risk response scheme. The simulation evaluation model can simulate each risk response strategy, the change of an enterprise overall risk influencing factor, and a new operating risk transmission value based on an enterprise operating risk transmission model. The simulation evaluation model can give an adjustment deviation of each operating index and a new risk evaluation value, and provide a quantitative evaluation basis for enterprise decision-making.

[0041] In addition, when the interruption risk identification module obtains the indirect internal risk, the indirect internal risk is fed back to the risk transmission module. At this time, the risk transmission module is used for determining a second risk transmission model matched with the indirect internal risk b2, and calling the second risk transmission model to obtain a second risk result corresponding to the indirect internal risk. The second risk result in the embodiment can be quantitative or non-quantitative. When it is determined that the second risk result is non-quantitative, the interruption risk identification module is repeatedly interacted. The subsequent repeated interaction mode is substantially the same as the first interaction process. The repeated interaction mode will not be described herein again. Until the second risk result obtained by the risk transmission is quantitative, the second risk result with the quantitative property is sent to the risk warning module.

[0042] Optionally, the risk early warning module is configured to determine a risk response mode according to the second risk result, and perform risk early warning according to the risk response mode, wherein the risk response mode comprises a risk response scheme and a risk impact value of each response scheme; and the risk response scheme is sent to the risk decision evaluation model.

[0043] Optionally, the risk decision evaluation model is further configured to determine a target evaluation strategy according to the risk response scheme.

[0044] Specifically, the risk early warning module of the embodiment is established based on a graph computing platform, and quantifies the risk impact value of each risk factor on enterprise operation system indexes such as enterprise supply chain interruption possibility, inventory pressure, capital occupation, financial derivative yield, product line downtime, production line loss, and the like based on different risk transmission routes, and triggers different risk alarms by referring to a historical risk evaluation probability matrix. For example, the risk early warning module determines a plurality of risk response modes according to the quantitative second risk result sent by the risk transmission module: scheme 1 - sell 50 of inventory, call m of in-transit same type materials in the supply chain, scheme 2 - reserve 80 of inventory, call n of in-transit same type materials in the supply chain. And the risk impact value of each response scheme is determined, and the response scheme is risk early warned by referring to different impact values. At the same time, each response scheme is sent to the risk decision evaluation model, so that the risk decision evaluation model determines a target evaluation strategy according to the risk response scheme. For example, the risk decision evaluation model selects scheme 1, and determines the adjustment deviation and new risk evaluation value of each operating index of scheme 1, thereby providing a quantitative evaluation basis for enterprise decision-making.

[0045] The embodiment combines dynamic external risk identification and internal interruption risk identification to identify risks of the supply chain in all aspects, and makes corresponding risk decisions according to the risk identification conditions. The efficiency of risk management is improved, and the increasingly complex enterprise risk management needs are met.

[0046] Embodiment Two

[0047] Figure 2 The flow of the supply chain risk evaluation method provided by the embodiment of the application can be used in the case of evaluating the risk of the supply chain, and the method can be executed by the system in the above embodiments. As shown in Figure 2 the flowchart comprises the following steps:

[0048] In step S201, the external risk identification model is used by the external dynamic risk identification module to identify the target supply chain to obtain external risks, and the external risks are sent to the risk transmission module.

[0049] Optionally, before the external risk identification model is used by the external dynamic risk identification module to identify the target supply chain to obtain the external risk, the method further includes: using a natural language recognition algorithm to obtain sample events of external risks of the enterprise entity by the external dynamic risk identification module; importing the sample events into a graph model in a specified format, and constructing an external risk identification model based on the graph model using a specified algorithm.

[0050] Specifically, in the embodiment, the external dynamic risk identification module will embed related enterprise entities involved in the supply chain in the graph data, and collect industry research reports related to the procurement of goods by the enterprise, information on the main suppliers of the procurement goods, information on downstream sales parties, the management system of the enterprise itself, financial report information, and shareholder pledge information, etc. on the public network on a regular basis, and use a natural language recognition algorithm to extract risk events of the related enterprise entities, and use the extracted enterprise events as sample events of external risks of the entities, and then import the sample events into a <entity1><relationship><date / time><entity2> graph model, and construct an external risk identification model using a specified algorithm. The types of external risks that can be identified by the model include market risks, economic risks, supplier risks, user risks, and environmental risks, etc. Of course, the embodiment is only an example and does not specifically limit the types of external risks involved.

[0051] In step S202, the first risk result corresponding to the external risk is obtained by the risk transmission module, and the first risk result is sent to the interrupt risk identification module.

[0052] Optionally, the first risk result corresponding to the external risk is obtained by the risk transmission module, including: determining a first risk transmission model matched with the external risk by the risk transmission module, and calling the first risk transmission model to obtain the first risk result corresponding to the external risk.

[0053] Optionally, the risk transmission model includes: a credit risk transmission model through transaction association, a risk transmission model through asset association, a macroeconomic factor induced risk transmission model, an information effect induced risk transmission model, an asset price fluctuation induced risk transmission model, a stock equity pledge induced risk transmission model, and an international environment induced risk transmission model.

[0054] The credit risk transmission model associated with the transaction mainly includes: downstream (upstream) enterprise market competitiveness decreases, upstream enterprise order decreases (downstream enterprise production material supply is insufficient), profit decreases, credit quality deteriorates, credit risk breaks out, upstream (downstream) enterprise financial condition deteriorates, and upstream (downstream) enterprise default rate increases, and the like. The risk transmission model associated with the asset mainly includes: financing enterprise defaults, stock investors' income is damaged (guarantee enterprises are forced to repay debts), associated enterprise credit condition decreases, and associated enterprise default rate increases, and the like. The risk transmission model caused by macroeconomic factors mainly includes: macroeconomic downturn changes, enterprise operating loss or debt accumulation, enterprise default rate increases, and associated enterprise credit condition decreases, and the like. The risk transmission model caused by information effect, the risk transmission model caused by asset price fluctuation, the risk transmission model caused by equity pledge, and the risk transmission model caused by international environment also include the corresponding related links. Of course, the embodiments only exemplify and do not limit the related links involved in each risk transmission model.

[0055] In step S203, the first risk result is identified by the interruption risk identification module to obtain internal risks, and the internal risks are sent to the risk transmission module or the risk decision evaluation module.

[0056] The interruption risk identification module is mainly based on real-time order demand, in-transit order and inventory production materials, and the elastic supplier selection and optimal order allocation are set in the interruption risk identification module. The probability of supplier failure and the loss caused by the entire failure to the supply partner are calculated, so that the interruption risk possibility in the supply chain can be periodically warned. Therefore, the interruption risk identification module can identify the first risk result input by the risk transmission module to obtain internal risks. The types of internal risks include direct internal risks or indirect internal risks.

[0057] It should be noted that when the direct internal risks are obtained by the interruption risk identification module, the direct internal risks are sent to the risk decision evaluation module, and the risk decision evaluation module is used to determine a direct evaluation strategy according to the direct internal risks. In addition, when the indirect internal risks are obtained by the interruption risk identification module, the indirect internal risks are fed back to the risk transmission module.

[0058] In step S204, the second risk result corresponding to the indirect internal risks is obtained by the risk transmission module. When it is determined that the second risk result is of a quantitative nature, the second risk result is sent to the risk warning module.

[0059] Optionally, the second risk result corresponding to the indirect internal risk is acquired by the risk transmission module, including: determining the second risk transmission model matched with the indirect internal risk by the risk transmission module, and calling the second risk transmission model to acquire the second risk result corresponding to the indirect internal risk.

[0060] The risk transmission module is configured to determine the second risk transmission model matched with the indirect internal risk, and call the second risk transmission model to acquire the second risk result corresponding to the indirect internal risk. The second risk result in the embodiment can be quantitative or non-quantitative. When the second risk result is determined to be non-quantitative, the interaction with the interruption risk identification module is repeated. The subsequent repeated interaction is substantially the same as the first interaction process, and will not be described in detail in the embodiment. When the second risk result acquired by the risk transmission is quantitative, the second risk result with the quantitative property is sent to the risk early warning module.

[0061] In step S205, the risk early warning module performs risk early warning according to the second risk result.

[0062] The risk early warning module in the embodiment is established based on a graph computing platform. The quantitative risk factors are based on different risk transmission routes to determine the risk influence values of the enterprise operation system indexes such as interruption possibility, inventory pressure, capital occupation, financial derivative yield, product line downtime rate, production line loss, and the like. The historical risk assessment probability matrix is referred to, and different risk warnings are triggered.

[0063] In step S206, the risk decision evaluation module determines a direct evaluation strategy according to the direct internal risk.

[0064] When the direct internal risk is acquired by the interruption risk identification module, the direct internal risk is sent to the risk decision evaluation module. The risk decision evaluation module is configured to determine a direct evaluation strategy according to the direct internal risk. Meanwhile, the risk decision evaluation module is also configured to determine a target evaluation strategy according to the risk response scheme.

[0065] Specifically, the risk decision evaluation module in the embodiment has established a simulation evaluation model of the enterprise risk response scheme based on the graph computing platform. The simulation evaluation model can simulate the influence of each risk response strategy on the change of the enterprise overall risk influence factor, calculate a new operation risk transmission value based on the enterprise operation risk transmission model, and give an adjustment deviation of each operation index and a new risk evaluation value, thereby providing a quantitative evaluation basis for enterprise decision-making.

[0066] The embodiment combines dynamic external risk identification and interrupt internal risk identification, and identifies risks of the supply chain in all aspects, and makes corresponding risk decisions according to the risk identification condition. The efficiency of risk management is improved, and the increasingly complex enterprise risk management requirements are met.

[0067] Embodiment three

[0068] Figure 3 A structural schematic diagram of an electronic device 30 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application described and / or claimed in this document.

[0069] As Figure 3 shown, the electronic device 30 includes at least one processor 31, and a memory, such as a read-only memory (ROM) 32, a random access memory (RAM) 33, etc., connected to the at least one processor 31 in communication, where the memory stores computer programs executable by the at least one processor. The processor 31 can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 32 or loaded into the random access memory (RAM) 33 from the storage unit 38. In the RAM 33, various programs and data required for the operation of the electronic device 30 can also be stored. The processor 31, the ROM 32, and the RAM 33 are connected to each other through a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0070] A plurality of components in the electronic device 30 are connected to the I / O interface 35, including: an input unit 36, such as a keyboard, a mouse, etc.; an output unit 37, such as various types of displays, speakers, etc.; a storage unit 38, such as a magnetic disk, an optical disk, etc.; and a communication unit 39, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunications networks.

[0071] The processor 31 can be various general and / or special purpose processing components having processing and computing capabilities. Some examples of the processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 31 performs various methods and processes described above, such as the risk assessment method of a supply chain.

[0072] In some embodiments, the risk assessment method of a supply chain can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 38. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 30 via the ROM 32 and / or the communication unit 39. When the computer program is loaded onto the RAM 33 and executed by the processor 31, one or more steps of the risk assessment method of a supply chain described above can be performed. Alternatively, in other embodiments, the processor 31 can be configured to perform the risk assessment method of a supply chain by any other suitable means, such as by means of firmware.

[0073] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0074] Computer programs used to implement the methods of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed by the processor of the machine, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0075] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0076] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0077] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0078] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0079] Embodiment four

[0080] The embodiment of the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the risk assessment method of the supply chain as provided in any embodiment of the present application.

[0081] The computer program code implementing the application can be written in one or more programming languages or combinations of languages including object oriented languages such as Java, Smalltalk, C++ or conventional procedural programming languages such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0082] Note that the above only describes the preferred embodiments of the present application and the principles of the applied technology. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A supply chain risk assessment system, characterized in that, include: The external dynamic risk identification module is used to identify external risks in the target supply chain using an external risk identification model, and then send the external risks to the risk transmission module. The risk transmission module is used to obtain a first risk result corresponding to the external risk and send the first risk result to the interruption risk identification module; The interruption risk identification module is used to identify the first risk result to obtain internal risks, and send the internal risks to the risk transmission module or risk decision assessment module. The types of internal risks include direct internal risks or indirect internal risks. Direct internal risks include situations where the current supplier's inventory and in-transit similar materials in the target supply chain cannot meet the allocation needs. Indirect internal risks include situations where the current supplier's inventory and in-transit similar materials in the target supply chain can meet the allocation needs. The risk transmission module is also used to obtain a second risk result corresponding to the indirect internal risk. When the second risk result is determined to be quantitative, the second risk result is sent to the risk warning module. The quantitative nature includes quantitative risk factors. The risk warning module is used to issue a risk warning based on the second risk result; The risk decision assessment module is used to determine a direct assessment strategy based on the direct internal risks. The risk transmission module is used to determine a first risk transmission model that matches the external risk, and to call the first risk transmission model to obtain the first risk result corresponding to the external risk; The risk transmission module is used to determine a second risk transmission model that matches the indirect internal risk, and to call the second risk transmission model to obtain a second risk result corresponding to the indirect internal risk.

2. The system according to claim 1, characterized in that, The external dynamic risk identification module is also used to obtain sample events of external risks of the enterprise entity using natural language recognition algorithms; The sample events are imported into a graph model of a specified format, and the external risk identification model is constructed based on the graph model using a specified algorithm.

3. The system according to claim 1, characterized in that, The risk transmission model includes: Risk transmission models include those based on transaction-related credit risk, asset-related risk transmission, macroeconomic factors-induced risk transmission, information effects-induced risk transmission, asset price fluctuations-induced risk transmission, equity pledge-induced risk transmission, and international environment-induced risk transmission.

4. The system according to claim 1, characterized in that, The risk warning module is used to determine the risk response method based on the second risk result, and to issue a risk warning based on the risk response method, wherein the risk response method includes risk response plans and the risk impact value of each response plan; The risk response plan is sent to the risk decision assessment model.

5. The system according to claim 4, characterized in that, The risk decision assessment module is also used to determine the target assessment strategy based on the risk response plan.

6. A risk assessment method for a supply chain, characterized in that, Applied to the system according to any one of claims 1 to 5, comprising: The external dynamic risk identification module uses an external risk identification model to identify external risks in the target supply chain and then sends these external risks to the risk transmission module. The risk transmission module obtains the first risk result corresponding to the external risk and sends the first risk result to the interruption risk identification module. The interruption risk identification module identifies the first risk result to obtain internal risks, and sends the internal risks to the risk transmission module or risk decision assessment module. The types of internal risks include direct internal risks or indirect internal risks. The risk transmission module obtains a second risk result corresponding to the indirect internal risk. When the second risk result is determined to be quantitative, the second risk result is sent to the risk warning module. The risk warning module provides a risk warning based on the second risk result. The risk decision assessment module determines a direct assessment strategy based on the direct internal risks. The step of obtaining the first risk result corresponding to the external risk through the risk transmission module includes: determining a first risk transmission model matching the external risk through the risk transmission module, and calling the first risk transmission model to obtain the first risk result corresponding to the external risk; The step of obtaining the second risk result corresponding to the indirect internal risk through the risk transmission module includes: determining a second risk transmission model matching the indirect internal risk through the risk transmission module, and calling the second risk transmission model to obtain the second risk result corresponding to the indirect internal risk.

7. The method according to claim 6, characterized in that, Before identifying and acquiring external risks in the target supply chain using an external risk identification model through an external dynamic risk identification module, the method further includes: The external dynamic risk identification module uses natural language recognition algorithms to obtain sample events of external risks to enterprise entities; The sample events are imported into a graph model of a specified format, and the external risk identification model is constructed based on the graph model using a specified algorithm.

8. The system according to claim 6, characterized in that, The risk transmission model includes: Risk transmission models include those based on transaction-related credit risk, asset-related risk transmission, macroeconomic factors-induced risk transmission, information effects-induced risk transmission, asset price fluctuations-induced risk transmission, equity pledge-induced risk transmission, and international environment-induced risk transmission.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 6-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 6-8.

11. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 6-8.

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