Supply chain full-process digital management method and system

Abstract

The invention is suitable for the technical field of supply chain management, and particularly relates to a supply chain full-process digital management method and system, and the method comprises the steps: obtaining commodity order information; analyzing according to the commodity order information to obtain a supplier level list; analyzing according to the supplier level list, and identifying a risk level; analyzing the supplier level list and the demand quantity based on the risk level to obtain purchase management information; and performing analysis according to the purchase management information to obtain logistics management information. According to the method, seamless connection and efficient cooperation of all links of the supply chain are achieved through a digital means, the time and errors of information transmission are reduced, and the operation efficiency of the whole supply chain is improved; through the identification and quantification of the supply chain risk, the corresponding purchasing strategy can be obtained, thereby reducing the negative influence caused by the interruption of the supply chain or other risk events, and improving the comprehensiveness of the supply chain management.

Description

Technical Field

[0001] The present application belongs to the field of supply chain management technology, and in particular, relates to a method and system for digital management of the entire supply chain process. Background Art

[0002] Supply Chain Management (SCM) is an important part of enterprise management, involving the entire process from raw material procurement, product manufacturing, warehousing, logistics to final sales and services. Effective supply chain management can help enterprises reduce costs, improve efficiency, enhance competitiveness, and ultimately improve customer satisfaction. With the deepening of global economic integration and technological advancement, supply chain management has become increasingly complex.

[0003] In traditional supply chain management, when managing suppliers, especially when suppliers supply multiple commodities or different specifications of the same commodity at the same time, the supplier's supply capacity is comprehensively evaluated based on the supplier's performance in the supply process of all commodities, so as to provide the main basis for supplier selection. However, due to the main and secondary products, technical maturity and other factors of the supplier, it is impossible to accurately judge the supplier's supply capacity, which limits the company's response speed and accuracy to a certain extent. Due to the uncertainty of the market environment and changes in customer needs, companies face many risks in the procurement process, such as delayed delivery by suppliers and logistics and transportation delays. Traditional supply chain management lacks effective risk identification and response mechanisms. Summary of the invention

[0004] The embodiments of the present application provide a method and system for digital management of the entire supply chain process, which can solve the problems in traditional supply chain management, such as the inability to accurately judge the supplier's supply capacity and the lack of effective risk identification and response mechanisms.

[0005] In a first aspect, an embodiment of the present application provides a method for digital management of the entire supply chain process, including: Obtaining commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date; Analyze the commodity order information to obtain a supplier ranking list; the supplier ranking list is used to reflect the corresponding demand for the commodity and the capacity of the supplier under the delivery date; Analyze the supplier level list to identify the risk level; wherein the risk level is used to reflect the risk level when purchasing the product; Analyze the supplier level list and the demand based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the supplier required to purchase the commodity and the corresponding procurement quantity; The logistics management information is obtained by analyzing the procurement management information.

[0006] The above technical solutions in the embodiments of the present application have at least the following technical effects: The present application provides a method for digital management of the entire supply chain process, which first obtains commodity order information indicating a customer's demand for a commodity and a delivery date; then analyzes the commodity order information to obtain a supplier rating list reflecting the supplier's corresponding demand for the commodity and the capacity under the delivery date; analyzes the supplier rating list to identify the risk level reflecting the risk level when purchasing the commodity; analyzes the supplier rating list and demand based on the risk level to obtain procurement management information reflecting the suppliers required to purchase the material and the corresponding procurement quantity; and finally analyzes the procurement management information to obtain logistics management information. This method uses digital means to conduct targeted analysis of each commodity individually, and conducts real-time evaluation and adjustment of the supplier's capabilities based on each commodity and supply quantity, reducing the misjudgment of the assessment of the supplier's overall supply capacity. Through precise supply evaluation of each commodity, users can accurately understand the supply capacity of each supplier of each commodity and the corresponding possible risks, so as to quickly respond accordingly, achieving seamless connection and efficient collaboration in all links of the supply chain, reducing the time and error of information transmission, and improving the overall operation efficiency of the supply chain; through the identification and quantification of supply chain risks, corresponding procurement strategies can be formulated, thereby reducing the negative impact caused by supply chain disruptions or other risk events, and improving the comprehensiveness of supply chain management.

[0007] In a possible implementation manner of the first aspect, analyzing the commodity order information to obtain a supplier level list includes: Analyze the commodity order information to obtain supplier information; An analysis is performed based on the supplier information to obtain a supplier grade list.

[0008] In a possible implementation manner of the first aspect, the analyzing according to the commodity order information to obtain the supplier information includes: Analyze the commodity specifications reflected in the commodity order information to obtain quantity information of the supplier information; wherein the quantity information is used to reflect the suppliers who can supply the commodity and the total number of suppliers; The supply capacity information of the supplier is obtained by analyzing the demand quantity and the delivery date reflected in the commodity order information.

[0009] In a possible implementation manner of the first aspect, the analyzing the supplier information to obtain a supplier level list includes: Analyze the quantity information and the supply capacity information of the supplier information to obtain a supplier grade list; And / or, analyzing according to the supplier level list to identify the risk level includes: Analyze the supplier level list to obtain risk factors; Analyze based on the risk factors and identify the risk level.

[0010] In a possible implementation manner of the first aspect, analyzing according to the supplier level list to obtain risk factors includes: Analyze the supplier level list to obtain the supply cycle risk of risk factors; An analysis is performed based on the supplier level list and the supply cycle risk to obtain the supply volume risk of the risk factor.

[0011] In a possible implementation manner of the first aspect, analyzing according to the risk factors to identify the risk level includes: Analyze the supply cycle risk according to the risk factors to obtain a main risk value; Analyze the supply risk of the risk factor to obtain a secondary risk value; A risk level is obtained based on the primary risk value and the secondary risk value.

[0012] In a possible implementation manner of the first aspect, obtaining the risk level based on the primary risk value and the secondary risk value includes: Comparing the main risk value with a preset level threshold, and when the main risk value is greater than or equal to the preset level threshold, taking the main risk value as the risk level; and / or, when the main risk value is less than the preset level threshold, obtaining a first weight and a second weight; The first weight is used to weight the primary risk value, and the second weight is used to weight the secondary risk value, and the two are summed to obtain a risk level.

[0013] In a possible implementation manner of the first aspect, the analyzing the supplier level list and the demand quantity based on the risk level to obtain procurement management information includes: When the risk level is greater than or equal to the preset level threshold, the supplier level list is analyzed to obtain a supplier group; wherein the supplier group is used to reflect the quantity corresponding to different supplier levels; Allocate purchases to the supplier group according to the demand to obtain a purchase quantity for the supplier group; Allocating the purchase volume of the supplier group in equal proportion according to the number of suppliers in the supplier group to obtain a first purchase mode of the purchase management information; And / or, when the risk level is less than the preset level threshold, the supplier ranked first in the supplier level list is selected, and when the supply quantity of the supplier ranked first is less than the demand quantity, the supplier ranked second after the first is selected, and the remaining quantity is purchased to obtain a second procurement mode of procurement management information; wherein, the remaining quantity is used to indicate the difference between the supply quantity and the demand quantity.

[0014] In a possible implementation manner of the first aspect, the analyzing according to the procurement management information to obtain logistics management information includes: When the procurement management information is the first procurement mode, analysis is performed according to each supply location and each receiving location, and the supply locations and the receiving locations are matched in pairs in sequence to obtain a delivery route group; Calculating the total delivery distance of each delivery route in the delivery route group, and selecting the delivery route with the smallest total delivery distance to obtain logistics management information; and / or, when the procurement management information is the second procurement mode, multiple distribution chains are obtained by analyzing the supply location and the farthest receiving location in different directions; The urgency level of each customer in the distribution chain is calculated. When the urgency level is less than a preset urgency level, the delivery locations within a preset range are included in the distribution chain to obtain logistics management information. When the urgency level is greater than or equal to the preset urgency level, a new distribution chain is generated for the delivery locations within the preset range to obtain logistics management information.

[0015] In a second aspect, the embodiment of the present application provides a supply chain full-process digital management system, including: An acquisition module is used to acquire commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date; A first analysis module is used to analyze the commodity order information to obtain a supplier level list; the supplier level list is used to reflect the corresponding demand for the commodity and the capacity of the supplier under the delivery date; A second analysis module is used to analyze the supplier level list to identify the risk level; wherein the risk level is used to reflect the risk level when purchasing the product; A third analysis module is used to analyze the supplier level list and the demand based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the supplier required to purchase the commodity and the corresponding procurement quantity; The fourth analysis module is used to analyze the procurement management information to obtain logistics management information.

[0016] In a third aspect, an embodiment of the present application provides a device for digital management of the entire supply chain process, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0017] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0018] In the fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a supply chain full-process digital management device, the supply chain full-process digital management device enables the supply chain full-process digital management device to execute the supply chain full-process digital management method described in any one of the above-mentioned first aspects.

[0019] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 It is a flow chart of the supply chain full-process digital management method provided by the embodiment of the present application; Figure 2 It is a schematic diagram of the implementation process of the supply chain full-process digital management method provided in the embodiment of the present application; Figure 3 It is a structural diagram of the supply chain full-process digital management system provided by the embodiment of the present application; Figure 4It is a structural diagram of the supply chain full-process digital management equipment provided in the embodiment of the present application. DETAILED DESCRIPTION

[0022] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0023] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0024] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0026] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0027] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0028] Supply Chain Management (SCM) is an important part of enterprise management, involving the entire process from raw material procurement, product manufacturing, warehousing, logistics to final sales and services. Effective supply chain management can help enterprises reduce costs, improve efficiency, enhance competitiveness, and ultimately improve customer satisfaction. With the deepening of global economic integration and technological advancement, supply chain management has become increasingly complex.

[0029] Traditional supply chain management mainly relies on manual operations and empirical judgment, which limits the speed and accuracy of enterprise response to a certain extent. Due to the uncertainty of the market environment and changes in customer demand, enterprises face many risks in the procurement process, such as delayed delivery by suppliers and logistics delays. Traditional supply chain management lacks effective risk identification and response mechanisms.

[0030] To solve the above problems, the embodiment of the present application provides a method and system for digital management of the entire supply chain process. In the method, first, obtain the commodity order information indicating the customer's demand for a certain commodity and the delivery date; then analyze the commodity order information to obtain a supplier level list reflecting the supplier's corresponding demand for the commodity and the capacity under the delivery date; analyze the supplier level list to identify the risk level reflecting the risk when purchasing the commodity; analyze the supplier level list and demand based on the risk level to obtain procurement management information reflecting the supplier required to purchase the material and the corresponding procurement quantity; finally, analyze the procurement management information to obtain logistics management information. This method uses digital means to conduct targeted analysis of each commodity individually, and conducts real-time evaluation and adjustment of the supplier's capabilities based on each commodity and supply quantity, reducing the misjudgment of the assessment of the supplier's overall supply capacity. Through precise supply evaluation of each commodity, users can accurately understand the supply capacity of each supplier of each commodity and the corresponding possible risks, so as to quickly respond accordingly, achieving seamless connection and efficient collaboration in all links of the supply chain, reducing the time and error of information transmission, and improving the overall operation efficiency of the supply chain; through the identification and quantification of supply chain risks, corresponding procurement strategies can be formulated, thereby reducing the negative impact caused by supply chain disruptions or other risk events, and improving the comprehensiveness of supply chain management.

[0031] The supply chain full-process digital management method provided in the embodiment of the present application can be applied to the supply chain full-process digital management equipment. At this time, the supply chain full-process digital management equipment is the executor of the supply chain full-process digital management method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the supply chain full-process digital management equipment.

[0032] For example, the digital management equipment for the entire supply chain process can be mobile phones, tablet computers, wearable devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), desktop computers, smart large screens, smart TVs and other terminal devices, handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, Internet of Things terminals, computers, laptops, handheld communication devices, handheld computing devices, satellite wireless devices, etc.

[0033] In order to better understand the full-process digital management method for the supply chain provided in the embodiment of the present application, the specific implementation process of the full-process digital management method for the supply chain provided in the embodiment of the present application is exemplarily introduced below.

[0034] Figure 1 and Figure 2 A schematic flow chart of a supply chain full-process digital management method provided in an embodiment of the present application is shown. The supply chain full-process digital management method includes: S100, obtaining commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date.

[0035] It can be understood that the customer's demand for a certain product and the delivery date refer to the demand and delivery date corresponding to all customers who have placed orders for the certain product during the period. For example, the product order information can be obtained from the user's trading platform (such as a B2B system), or can be manually input, etc., but is not limited thereto.

[0036] S200, analyzing the commodity order information to obtain a supplier ranking list; the supplier ranking list is used to reflect the supplier's corresponding demand for the commodity and the capacity size under the delivery date.

[0037] It is understandable that different commodities have a corresponding supplier level list, that is, the supplier level list reflects the supplier's supply capacity for a certain commodity. This list reflects the supplier's supply capacity and quantity performance for the commodity, providing basic data for subsequent risk assessment.

[0038] For example, the corresponding supplier and the available quantity or volume of each supplier can be obtained through the commodity order information, and then the supplier level list can be obtained by analyzing the available quantity or volume of each supplier; the commodity order information can also be input into the learning model, and the learning model outputs the corresponding supplier level list, etc., but not limited to this. The learning model is trained by multiple sets of training data, and each set of training data in the multiple sets of training data includes commodity order information and a corresponding supplier level list.

[0039] In a possible implementation, in step S200, the product order information is analyzed to obtain a supplier level list, including: S210, analyzing the product order information to obtain supplier information.

[0040] It can be understood that the supplier information includes the number of suppliers and the corresponding supply capacity of each supplier. Exemplarily, the corresponding supplier can be matched by the commodity type or specification in the commodity order information to obtain the number of suppliers, and then the supplier's supply capacity can be obtained by comprehensive analysis of the demand and delivery date in the commodity order information; the commodity order information can also be input into the supplier database for matching to obtain the corresponding supplier information, etc., but not limited to this. The supplier database refers to a database that contains the commodities supplied by all suppliers, the quantity of the supplied commodities and the corresponding delivery cycle. These data can be obtained through laboratory experiments, on-site monitoring and past experience. After obtaining, the collected data will be sorted, classified and archived, useful information and rules will be extracted, and the relevant data will be saved in the database to form a supplier database.

[0041] For example, for the same supply of 1 commodity, the commodity quality of supplier A is good, the supply quantity is 50 at a time, and the supply cycle is 7 days; the commodity quality of supplier B is average, the supply quantity is 80 at a time, and the supply cycle is 5 days; the commodity quality of supplier C is average, the supply quantity is 200 at a time, and the supply cycle is 7 days. Assuming that the demand in this order is 50 and the delivery cycle is 4 days, among the suppliers, supplier B may have the strongest supply capacity, followed by C, and finally B; assuming that the demand in this order is 40 and the delivery cycle is 7 days, among the suppliers, supplier A may have the strongest supply capacity, followed by B, and finally C, and so on. That is, although there is a preliminary judgment on the supply capacity of suppliers corresponding to different commodities through previous supply records, the evaluation of the supply capacity of the corresponding suppliers is changed and adjusted in real time for different demand quantities and delivery dates in each order.

[0042] In a possible implementation, in step S210, analyzing the commodity order information to obtain supplier information includes: S211, analyzing the commodity specifications reflected in the commodity order information to obtain quantity information of the supplier information; wherein the quantity information is used to reflect the suppliers who can supply the commodity and the total number of suppliers.

[0043] The product specifications can be matched in the supplier database, and the suppliers who have supplied the product can be screened out and summarized to form quantity information.

[0044] S212, analyzing the demand and delivery date reflected in the commodity order information to obtain the supply capacity information of the supplier information.

[0045] It can be understood that the supply capacity information does not refer to the overall supply capacity of the supplier, but is used to reflect the supplier's supply capacity for the commodity. For example, the supply commodities of supplier A include 1, 2, and 3, and the supply commodities of supplier B include 1, 2, 4, and 5. When it is necessary to supply 1, only the supply capacity of supplier A for 1 and the supply capacity of supplier B for 1 are considered. If the overall supply capacity of supplier A is stronger than the overall supply capacity of supplier B, it does not mean that the supply capacity of supplier A for 1 is stronger than the supply capacity of supplier B for 1. For example, by analyzing the previous supply quantity and supply cycle of commodity 1 of each supplier and comparing them with the demand and delivery date reflected in the commodity order information, the supply capacity of each supplier under the demand volume of the commodity can be obtained; the demand and delivery date can also be input into the learning model, and the learning model outputs the supply capacity information, etc., but not limited to this. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes the demand and delivery date and the corresponding supply capacity information.

[0046] S220, analyzing the supplier information to obtain a supplier grade list.

[0047] For example, a comprehensive evaluation can be performed based on the previous supply quantity in the supplier information as well as the delivery date and demand of the product to obtain a supplier grade list; the supplier information can also be input into the learning model, and the learning model will output the corresponding risk level, etc., but is not limited to this.

[0048] In a possible implementation, in step S220, analysis is performed based on the supplier information to obtain a supplier level list, including: S221, analyzing the quantity information and supply capacity information of the supplier information to obtain a supplier level list.

[0049] It can be understood that a supplier ranking list is generated by conducting a comprehensive analysis based on the supplier quantity information (i.e., suppliers that can supply and their quantity) and supply capacity information (i.e., the supplier's supply capacity for specific commodities). For example, the system may classify suppliers into several levels, such as "Grade A", "Grade B", "Grade C", etc., based on factors such as the supplier's historical supply record, current inventory and production capacity, to distinguish the level of their supply capacity. Exemplarily, the quantity information and supply capacity information can be input into the learning model, and the learning model then outputs a supplier ranking list; the supply capacity of each supplier can also be input into the supplier database for matching to obtain the level of each supplier, and then the levels are arranged in order to obtain a supplier ranking list, etc., but it is not limited to this.

[0050] For example, assuming that the commodity to be purchased this time is a wooden backrest seat (model No. 1), there are 4 suppliers who can supply it, namely supplier A, supplier B, supplier C, and supplier D. Among them, the supply capacity of supplier A is level 1, and its supply capacity for wooden backrest seats (model No. 1) is level 3; the supply capacity of supplier B is level 1, and its supply capacity for wooden backrest seats (model No. 1) is level 1; the supply capacity of supplier C is level 2, and its supply capacity for wooden backrest seats (model No. 1) is level 2. The supply capacity of supplier D is level 3, and its supply capacity for wooden backrest seats (model No. 1) is level 1. The smaller the supply capacity level, the stronger the supply capacity. Therefore, the supply capacity ranking of wooden backrest seats (model No. 1) is B and D, C, A. Since the supply capacity of supplier B (level 1) is greater than the supply capacity of supplier D (level 3), the supplier level list is B, D, C, A. If the supply capacity of supplier B is equal to the supply capacity of supplier D (level 3), the supplier level list is B and D, C, A, and so on.

[0051] S300, analyzes the supplier level list and identifies the risk level.

[0052] Exemplarily, the risk size of each supplier's supply cycle and the risk size of the supply volume can be determined based on the supplier grade list, and then the risk level can be comprehensively evaluated based on the risk of the supply cycle and the risk of the supply volume; the supplier grade list can also be input into the learning model, and the learning model outputs the corresponding risk level, and so on, but is not limited to this.

[0053] In a possible implementation, in step S300, analyzing and identifying risk levels according to the supplier level list includes: S310, analyzing the supplier level list to obtain risk factors.

[0054] It can be understood that possible risk factors can be extracted based on the grade distribution reflected in the supplier grade list.

[0055] In a possible implementation, in step S310, risk factors are obtained by analyzing the supplier level list, including: S311, analyze according to the supplier level list to obtain the supply cycle risk of risk factors.

[0056] It can be understood that analyzing the supplier tier list and evaluating each supplier's delivery capability within a specific time period is the supply cycle risk. Specifically, based on the supplier's historical delivery record, it can be analyzed whether it can complete the delivery within the specified time.

[0057] For example, assuming that the supplier level list is B (level 1), D (level 1), C (level 2), and A (level 3), and delivery is required within 5 days, level 1 suppliers can deliver within 3 days, level 2 suppliers can deliver within 5 days, and level 3 suppliers can only deliver after 10 days. The analysis is then conducted by analyzing the number of suppliers who can supply within 5 days and the preset number. It is assumed that when the preset number is greater than 3, the supply cycle risk is small; when the preset number is greater than 1 and less than or equal to 3, the supply cycle risk is average; when the preset number is less than or equal to 1, the supply cycle risk is large. At this time, the number of suppliers is 3, and the supply cycle risk is average, and so on.

[0058] S312, analyzing the supplier level list and the supply cycle risk to obtain the supply volume risk of the risk factor.

[0059] It can be understood that supply risk refers to the risk caused by the supplier's insufficient supply capacity under the order demand. The supplier cycle risk is further analyzed according to the supplier level and quantity reflected in the supplier level list to obtain the supply risk. For example, the supplier level list and supply cycle risk can be input into the learning model to obtain the corresponding supply risk.

[0060] S320, analyze risk factors and identify risk levels.

[0061] Exemplarily, the risk level can be expressed by a numerical value (such as a percentage) or by a code (such as A, B, C), etc., but not limited thereto. Exemplarily, the supply cycle risk and the supply volume risk in the risk factors can be analyzed to obtain the corresponding risk values ​​respectively, and then the risk level can be obtained by combining the two risk values; the risk factors can also be input into the learning model, and the learning model outputs the corresponding risk level, etc., but not limited thereto.

[0062] In a possible implementation, in step S320, analyzing the risk factors to identify the risk level includes: S321, analyze the supply cycle risk of risk factors to obtain the main risk value.

[0063] It can be understood that the longer the supply cycle reflected by the supply cycle risk, the greater the main risk value. Exemplarily, the supply cycle risk can be input into the learning model, and the learning model then outputs the corresponding main risk value; the supply cycle risk can also be matched with the supplier database to obtain the corresponding main risk value, etc., but is not limited thereto.

[0064] S322, analyzing the supply risk of the risk factor to obtain a secondary risk value.

[0065] It can be understood that the greater the supply volume reflected by the supply cycle risk, the greater the main risk value. Exemplarily, the supply volume risk can be input into the learning model, and the learning model then outputs the corresponding main risk value; the supply volume risk can also be matched with the supplier database to obtain the corresponding main risk value, etc., but it is not limited thereto.

[0066] S323, obtain the risk level based on the primary risk value and the secondary risk value.

[0067] Exemplarily, one of the major risk value and the minor risk value may be used as the risk level, or the major risk value and the minor risk value may be weighted and comprehensively analyzed to obtain the risk level, etc., but the present invention is not limited thereto.

[0068] In a possible implementation, in step S323, the risk level is obtained based on the primary risk value and the secondary risk value, including: S3231a, compare the main risk value with the preset level threshold, and when the main risk value is greater than or equal to the preset level threshold, use the main risk value as the risk level.

[0069] It can be understood that the preset level threshold is a pre-set value, which can be manually input by humans, or obtained from a supplier database, etc., but is not limited thereto. When the primary risk value is greater than or equal to the preset level threshold, it means that the supplier has a large uncertainty in the delivery time, and the secondary risk value does not need to be considered at this time.

[0070] In a possible implementation, in step S323, obtaining the risk level based on the primary risk value and the secondary risk value further includes: S3231b, when the main risk value is less than the preset level threshold, obtain the first weight and the second weight.

[0071] It can be understood that the first weight and the second weight are both preset values, which can be manually input or obtained from a supplier database, etc., but are not limited thereto.

[0072] S3232b, weight the primary risk value with the first weight, weight the secondary risk value with the second weight, sum them up, and obtain the risk level.

[0073] It can be understood that risk level = first weight × primary risk value + second weight × secondary risk value.

[0074] With such a setting, by comparing the main risk value with the preset level threshold and directly taking the main risk value as the risk level when the main risk value is greater than or equal to the preset level threshold, it is ensured that when there is a large uncertainty in the delivery time of the supplier, the high-risk supplier can be identified in time without further evaluating the secondary risk value; and when the main risk value is less than the preset level threshold, by obtaining the pre-set first weight and second weight, and applying the first weight to the main risk value and the second weight to the secondary risk value for weighted summation to obtain the risk level, a quantitative assessment of the comprehensive risk of the supplier is achieved, thereby ensuring the reliability of delivery time while taking into account the supply risk, improving the scientificity and accuracy of supply chain management, and enabling enterprises to more comprehensively evaluate the risks of suppliers when making procurement decisions, thereby ensuring the stability and reliability of the supply chain.

[0075] S400, analyzing the supplier level list and demand quantity based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the suppliers required to purchase the material and the corresponding procurement quantity.

[0076] It is understandable that corresponding procurement methods are adopted according to different risk levels and the demand reflected by the commodity order information. For example, different suppliers can be assigned to purchase according to different risk levels, and the quantity of commodities purchased by each supplier can be assigned again based on the selection of suppliers to obtain procurement management information; or commodity order information and risk levels can be input into a learning model, and the learning model can output corresponding procurement management information, etc., but it is not limited thereto.

[0077] In a possible implementation, in step S400, the supplier level list and demand quantity are analyzed based on the risk level to obtain procurement management information, including: S410a, when the risk level is greater than or equal to the preset level threshold, the supplier level list is analyzed to obtain a supplier group; wherein the supplier group is used to reflect the quantity corresponding to different supplier levels.

[0078] It can be understood that the preset level threshold is a pre-set value, which can be manually input or obtained from a procurement database. The procurement database refers to a database containing preset level thresholds corresponding to different commodities. These data can be obtained through laboratory experiments, on-site monitoring, and past experience. After obtaining, the collected data is sorted, classified, and archived, useful information and rules are extracted, and the relevant data is saved in the database to form a procurement database. Exemplarily, the supplier level list can be divided into levels to obtain multiple different level groups, and then suppliers of the same level can be classified to obtain supplier groups. The supplier level list can also be matched with the supplier database to obtain corresponding supplier groups, etc., but it is not limited to this.

[0079] S420a, allocating purchases to the supplier group according to the demand quantity in the commodity order information to obtain the purchase quantity of the supplier group.

[0080] Exemplarily, the group value weights can be assigned by analyzing the supplier groups, and then the proportion of suppliers in each supplier group can be allocated according to the coefficient, so as to obtain the proportion of each supplier group, and then the proportion can be allocated according to the demand to obtain the purchase volume of each supplier group, which is the purchase volume of the supplier group; the commodity order information and the supplier group can also be input into the learning model, and the learning model outputs the purchase volume corresponding to each supplier group, and so on, but not limited to this.

[0081] S430a, allocating the procurement volume of the supplier group in equal proportion according to the number of suppliers in the supplier group, and obtaining a first procurement mode of the procurement management information.

[0082] It can be understood that after obtaining the purchase volume of the supplier group, it is distributed in proportion according to the number of suppliers in each supplier group, which is the first procurement mode.

[0083] Such a setting, by giving priority to suppliers with higher reliability in high-risk situations and reasonably allocating procurement volume through quantitative analysis, not only ensures the stability of the supply chain but also improves procurement efficiency, allowing enterprises to make more scientific and systematic procurement decisions when facing suppliers with different risk levels, thereby effectively reducing supply chain risks and ensuring the continued reliable operation of the supply chain.

[0084] In a possible implementation, in step S400, the supplier level list and demand quantity are analyzed based on the risk level to obtain procurement management information, which also includes: S410b, when the risk level is less than the preset level threshold, select the first-ranked supplier in the supplier level list; when the supply of the first-ranked supplier is less than the demand, select the second-ranked supplier after the first-ranked supplier, and purchase the remaining quantity to obtain the second procurement mode of the procurement management information; wherein the remaining quantity is used to indicate the difference between the supply quantity and the demand quantity.

[0085] It can be understood that when the risk level is less than the preset level threshold, it means that the purchasing risk of the product is relatively small at this time, and suppliers with higher levels can be given priority as purchasing targets. That is, the supplier level list can be sorted, and the first-ranked supplier, that is, the supplier with the highest level, is selected as the first supplier. The historical data of the supplier is then analyzed to obtain the maximum supply of the supplier before the delivery date. When the supply of the supplier does not meet the demand, the second-ranked supplier is selected in turn, and the suppliers with the higher ranks are analyzed step by step according to the analysis method of the first supplier, and then allocated in turn, which is the second procurement mode.

[0086] With this setup, when supplier risk is low, priority will be given to suppliers with higher levels, and the problem of insufficient supply will be solved through a step-by-step replacement process. This will ensure the stability of the supply chain while maximizing the use of resources from high-quality suppliers, improving procurement efficiency and reliability, and effectively balancing supply and demand to ensure that orders can be completed on time and in quantity.

[0087] S500, analyzing the procurement management information to obtain logistics management information.

[0088] It can be understood that different procurement models correspond to different logistics management models. The logistics management information can be obtained by analyzing the differences in procurement models and then making distribution plans based on the location relationship between each supplier and each delivery address. The procurement management information and each supplier and delivery address can also be input into the learning model, and the learning model will then output the corresponding logistics management information, etc., but not limited to this.

[0089] In a possible implementation, in step S500, the logistics management information is obtained by analyzing the procurement management information, including: S510a, when the procurement management information is the first procurement mode, analysis is performed based on each supply location and each receiving location, and the supply locations and receiving locations are matched in pairs in turn to obtain a distribution route group.

[0090] It can be understood that the delivery route group includes all the delivery routes between different supply locations and different receiving locations. The delivery routes can be obtained through the logistics system, or can be manually input, etc., but are not limited thereto.

[0091] S520a, calculating the total delivery distance of each delivery route in the delivery route group, and selecting the delivery route with the smallest total delivery distance to obtain logistics management information.

[0092] It can be understood that the sum of the delivery distances of each delivery route in the delivery route group can be calculated in turn through a traversal algorithm, and then each total delivery distance can be compared to obtain the delivery route corresponding to the minimum total delivery distance. Delivery can be carried out according to this delivery method, which is the logistics management information.

[0093] Set up like this, this delivery method is used when the risk level is high. Under the decentralized procurement model, decentralized distribution is used to take the delivery route with the shortest delivery distance to ensure that the goods can be delivered efficiently and at low cost.

[0094] In a possible implementation, in step S500, analyzing the procurement management information to obtain logistics management information further includes: S510b, when the procurement management information is the second procurement mode, analysis is performed based on the supply location and the farthest receiving location in different directions to obtain multiple distribution chains.

[0095] It can be understood that when the procurement management information is the second procurement mode, for centralized procurement, the supply location, that is, the supplier location, can be used as the coordinate center point, and the receiving location can be used as the orientation point. The orientation can be divided into several directions, such as the four basic orientations of east, south, west, and north, or more detailed direction divisions, and then the receiving location farthest from the supplier is found in each orientation, and multiple distribution chains are constructed based on the farthest receiving location in each orientation.

[0096] S520b, calculate the urgency of each customer in the distribution chain. When the urgency is less than the preset urgency, include the delivery locations within the preset range into the distribution chain to obtain logistics management information; when the urgency is greater than or equal to the preset urgency, generate a new distribution chain for the delivery locations within the preset range to obtain logistics management information.

[0097] It can be understood that the urgency is used to reflect the urgency of the delivery date. The more urgent the delivery date, the higher the urgency. The commodity order information and the distribution chain reflected in the distribution chain can be input into the learning model, and the learning model outputs the urgency. The urgency of each customer can also be obtained through a defined calculation formula, such as urgency = (w1×demand) + (w2×delivery date urgency), where w1 is the demand weight and w2 is the delivery date weight. The preset urgency is a value set in advance. It is a fault tolerance value obtained by the user based on the analysis of the delivery time and the delivery time. It can be manually input by humans or obtained from the procurement database, etc., but is not limited to this. The preset range is a preset range size. It can be manually input by humans or obtained from the procurement database, etc. When the urgency is less than the preset urgency, the receiving locations within the preset range are included in the distribution chain. When delivering to the farthest receiving location, the nearby receiving locations are included in the delivery route to improve the delivery efficiency.

[0098] With this setting, multiple distribution chains are generated through the supply location and receiving location in the procurement management information, and the distribution chains are adjusted according to the customer's urgency to ensure that orders with high urgency are processed first, thereby improving the efficiency and reliability of logistics management.

[0099] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] Corresponding to the full-process digital management method of the supply chain described in the above embodiment, the embodiment of the present application also provides a full-process digital management system for the supply chain, and each module of the system can implement each step of the full-process digital management method of the supply chain. Figure 3 A structural block diagram of a full-process digital management system for a supply chain provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0101] Reference Figure 3 The digital management system for the entire supply chain process includes: The acquisition module is used to acquire commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date.

[0102] The first analysis module is used to analyze the commodity order information to obtain a supplier level list; the supplier level list is used to reflect the supplier's corresponding demand for the commodity and the capacity size under the delivery date.

[0103] The second analysis module is used to analyze according to the supplier grade list and identify the risk level; wherein the risk level is used to reflect the risk level when purchasing the product.

[0104] The third analysis module is used to analyze the supplier level list and demand based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the suppliers required to purchase the product and the corresponding procurement quantity.

[0105] The fourth analysis module is used to analyze the procurement management information to obtain logistics management information.

[0106] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0107] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above modules is used as an example for illustration. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing from each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0108] The present application also provides a supply chain full-process digital management device. Figure 4 This is a schematic diagram of the structure of a supply chain full-process digital management device 6 provided in an embodiment of the present application. Figure 4 As shown, the supply chain full-process digital management device 6 of this embodiment includes: at least one processor 60 ( Figure 4 Only one is shown), at least one memory 61 ( Figure 4 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the supply chain full-process digital management device 6 implements the steps in any of the above-mentioned embodiments of the supply chain full-process digital management method, or enables the supply chain full-process digital management device 6 to implement the functions of each module in the above-mentioned embodiments.

[0109] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the supply chain full-process digital management device 6.

[0110] The supply chain full process digital management device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Figure 4 It is only an example of the supply chain full-process digital management device 6 and does not constitute a limitation of the supply chain full-process digital management device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0111] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0112] In some embodiments, the memory 61 may be an internal storage unit of the supply chain full process digital management device 6, such as a hard disk or memory of the supply chain full process digital management device 6. In other embodiments, the memory 61 may also be an external storage device of the supply chain full process digital management device 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the supply chain full process digital management device 6. Further, the memory 61 may also include both the internal storage unit of the supply chain full process digital management device 6 and an external storage device. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0113] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0114] An embodiment of the present application provides a computer program product. When the computer program product runs on a supply chain full-process digital management device, the supply chain full-process digital management device implements the steps in any of the above-mentioned method embodiments.

[0115] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the digital management device of the entire supply chain process, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0116] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0117] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0118] In the embodiments provided in the present application, it should be understood that the disclosed supply chain full-process digital management equipment and system can be implemented in other ways. For example, the above-described supply chain full-process digital management system embodiment is merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0119] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0120] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A digital management method for the entire supply chain process, characterized in that: include: Obtaining commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date; Analyze the commodity order information to obtain a supplier ranking list; the supplier ranking list is used to reflect the corresponding demand for the commodity and the capacity of the supplier under the delivery date; Analyze the supplier level list to identify the risk level; wherein the risk level is used to reflect the risk level when purchasing the product; Analyze the supplier level list and the demand based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the supplier required to purchase the commodity and the corresponding procurement quantity; The logistics management information is obtained by analyzing the procurement management information.

2. The supply chain full-process digital management method according to claim 1, characterized in that: The analyzing the commodity order information to obtain a supplier level list includes: Analyze the commodity order information to obtain supplier information; An analysis is performed based on the supplier information to obtain a supplier grade list.

3. The supply chain full-process digital management method according to claim 2, characterized in that: The analyzing the commodity order information to obtain supplier information includes: Analyze the commodity specifications reflected in the commodity order information to obtain quantity information of the supplier information; wherein the quantity information is used to reflect the suppliers who can supply the commodity and the total number of suppliers; The supply capacity information of the supplier is obtained by analyzing the demand quantity and the delivery date reflected in the commodity order information.

4. The supply chain full-process digital management method according to claim 3, characterized in that: The analyzing the supplier information to obtain a supplier level list includes: Analyze the quantity information and the supply capacity information of the supplier information to obtain a supplier grade list; And / or, analyzing according to the supplier level list to identify the risk level includes: Analyze the supplier level list to obtain risk factors; Analyze based on the risk factors and identify the risk level.

5. The supply chain full-process digital management method according to claim 4, characterized in that: The risk factors obtained by analyzing the supplier level list include: Analyze the supplier level list to obtain the supply cycle risk of risk factors; An analysis is performed based on the supplier level list and the supply cycle risk to obtain the supply volume risk of the risk factor.

6. The supply chain full-process digital management method according to claim 5, characterized in that: The analyzing and identifying the risk level according to the risk factors includes: Analyze the supply cycle risk according to the risk factors to obtain a main risk value; Analyze the supply risk of the risk factor to obtain a secondary risk value; A risk level is obtained based on the primary risk value and the secondary risk value.

7. The supply chain full-process digital management method according to claim 6, characterized in that: The risk level obtained based on the primary risk value and the secondary risk value includes: Comparing the main risk value with a preset level threshold, and when the main risk value is greater than or equal to the preset level threshold, taking the main risk value as the risk level; and / or, when the main risk value is less than the preset level threshold, obtaining a first weight and a second weight; The first weight is used to weight the primary risk value, and the second weight is used to weight the secondary risk value, and the two are summed to obtain a risk level.

8. The method for digital management of the entire supply chain process as claimed in claim 7, characterized in that: The analyzing the supplier level list and the demand quantity based on the risk level to obtain procurement management information includes: When the risk level is greater than or equal to the preset level threshold, the supplier level list is analyzed to obtain a supplier group; wherein the supplier group is used to reflect the quantity corresponding to different supplier levels; Allocate purchases to the supplier group according to the demand to obtain a purchase quantity for the supplier group; Allocating the purchase volume of the supplier group in equal proportion according to the number of suppliers in the supplier group to obtain a first purchase mode of the purchase management information; And / or, when the risk level is less than the preset level threshold, the supplier ranked first in the supplier level list is selected, and when the supply quantity of the supplier ranked first is less than the demand quantity, the supplier ranked second after the first is selected, and the remaining quantity is purchased to obtain a second procurement mode of procurement management information; wherein, the remaining quantity is used to indicate the difference between the supply quantity and the demand quantity.

9. The supply chain full-process digital management method according to claim 8, characterized in that: The analyzing the procurement management information to obtain logistics management information includes: When the procurement management information is the first procurement mode, analysis is performed according to each supply location and each receiving location, and the supply locations and the receiving locations are matched in pairs in sequence to obtain a delivery route group; Calculating the total delivery distance of each delivery route in the delivery route group, and selecting the delivery route with the smallest total delivery distance to obtain logistics management information; and / or, when the procurement management information is the second procurement mode, multiple distribution chains are obtained by analyzing the supply location and the farthest receiving location in different directions; The urgency level of each customer in the distribution chain is calculated. When the urgency level is less than a preset urgency level, the delivery locations within a preset range are included in the distribution chain to obtain logistics management information. When the urgency level is greater than or equal to the preset urgency level, a new distribution chain is generated for the delivery locations within the preset range to obtain logistics management information.

10. A digital management system for the entire supply chain process, characterized in that: include: An acquisition module is used to acquire commodity order information; wherein the commodity order information is used to indicate the customer's demand for a certain commodity and the delivery date; A first analysis module is used to analyze the commodity order information to obtain a supplier level list; the supplier level list is used to reflect the corresponding demand for the commodity and the capacity of the supplier under the delivery date; A second analysis module is used to analyze the supplier level list to identify the risk level; wherein the risk level is used to reflect the risk level when purchasing the product; A third analysis module is used to analyze the supplier level list and the demand based on the risk level to obtain procurement management information; wherein the procurement management information is used to reflect the supplier required to purchase the commodity and the corresponding procurement quantity; The fourth analysis module is used to analyze the procurement management information to obtain logistics management information.

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