Resource allocation method, system, and medium for supply chain management

Abstract

The application provides a resource allocation method, system and medium for supply chain management, relates to the technical field of resource allocation strategy optimization, and comprises the following steps: obtaining supply chain change information of a target enterprise through dynamic monitoring, and analyzing the supply chain change information to obtain supply chain stability; obtaining target resource information of the target enterprise through multi-dimensional collection, and obtaining allocation optimization constraints in cooperation with the supply chain stability; taking the allocation optimization constraints as conditions, taking allocation fitness as evaluation, and performing optimization to obtain a target allocation strategy; and performing resource allocation processing of the target enterprise according to the target allocation strategy. The application solves the technical problem that the prior art often relies on static data, lacks monitoring of real-time changes of a supply chain, cannot dynamically adjust a resource allocation strategy according to real-time data, and thus leads to insufficient strategy optimization and affects the flexibility and response speed of the supply chain.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of resource allocation strategy optimization, and particularly relates to a resource allocation method, system and medium for supply chain management. BACKGROUND

[0002] In modern enterprise operation, supply chain management is a key component to ensure efficient and low-cost operation of enterprise resources. Supply chain management involves multiple links such as raw material procurement, production, inventory management, logistics, etc. Fluctuations in any one link can affect the efficiency of the overall supply chain. Therefore, how to effectively manage resources and optimize resource allocation to play a greater role in the supply chain has become an important means for enterprises to gain a competitive advantage in a complex and dynamic environment. However, most existing technologies rely on historical data and prediction models for resource allocation. However, the supply chain is often a highly dynamic system affected by many factors such as demand fluctuations, supplier delivery delays, etc. These factors are often unpredictable, and traditional methods often fail to consider real-time fluctuations and changes in the supply chain, making it impossible to dynamically adjust resource allocation strategies based on real-time data, thereby leading to insufficient strategy optimization and affecting the flexibility and response speed of the supply chain. SUMMARY

[0003] The present application provides a resource allocation method, system and medium for supply chain management, aiming to solve the technical problem that existing technologies often rely on static data, lack monitoring of real-time changes in the supply chain, and cannot dynamically adjust resource allocation strategies based on real-time data, thereby leading to insufficient strategy optimization and affecting the flexibility and response speed of the supply chain.

[0004] The first aspect of the present application provides a resource allocation method for supply chain management, the method comprising: dynamically monitoring supply chain change information of a target enterprise and analyzing the supply chain change information to obtain supply chain stability; multi-dimensionally collecting target resource information of the target enterprise and obtaining allocation optimization constraints in coordination with the supply chain stability; performing optimization to obtain a target allocation strategy based on the allocation optimization constraints and evaluation of allocation fitness; and performing resource allocation processing of the target enterprise according to the target allocation strategy.

[0005] In a second aspect, the application discloses a resource allocation system for supply chain management, which is used for the resource allocation method for supply chain management, and comprises: a dynamic monitoring module, configured to dynamically monitor supply chain change information of a target enterprise, and analyze the supply chain change information to obtain supply chain stability; a multi-dimensional collection module, configured to multi-dimensionally collect target resource information of the target enterprise, and obtain allocation optimization constraints in cooperation with the supply chain stability; an optimization module, configured to perform optimization to obtain a target allocation strategy, with the allocation optimization constraints as conditions and allocation fitness as evaluation; and a resource allocation processing module, configured to perform resource allocation processing of the target enterprise according to the target allocation strategy.

[0006] In a third aspect, the application discloses a storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the resource allocation method for supply chain management in the first aspect.

[0007] The one or more technical solutions provided in the application have at least the following beneficial effects:

[0008] Through dynamic monitoring of supply chain change information, uncertainty factors in the supply chain can be captured in time. The continuous dynamic monitoring can help the target enterprise to evaluate the stability of the supply chain in real time, obtain a supply chain stability index, and thus evaluate the current health status of the supply chain. This enables the enterprise to discover potential risks, take strategy optimization measures in advance, and prevent supply chain interruption or resource waste. Through multi-dimensional collection of target resource information and collaborative analysis with the supply chain stability, it is ensured that the resource allocation not only depends on business demand, but also considers the stability of the supply chain. According to the collaborative analysis result, allocation optimization constraints are set, which helps to prevent excessive concentration or dispersion of resources, thereby improving resource use efficiency and supply chain stability. Through strategy optimization with the allocation optimization constraints as conditions and the allocation fitness as evaluation, it is ensured that resources can be efficiently allocated to the required business and links, and the overall operation efficiency is improved. According to the target allocation strategy, specific resource allocation operations are performed, and it is ensured that resources are reasonably allocated according to the established strategy. In this way, efficient use of resources can be achieved, and resource idling and waste can be reduced. The enterprise can achieve more accurate, flexible and efficient resource allocation in a complex supply chain environment.

[0009] The above description is only a summary of the technical solutions of the application. In order to more clearly understand the technical means of the application, the application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1A resource allocation method for supply chain management provided by an embodiment of the present application.

[0011] Figure 2 A resource allocation system structure diagram for supply chain management provided by an embodiment of the present application.

[0012] Label explanation: dynamic monitoring module 10, multi-dimensional collection module 20, optimization module 30, resource allocation processing module 40. DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a resource allocation method, system and medium for supply chain management, which solves the technical problem that the prior art often relies on static data, lacks monitoring of real-time changes of the supply chain, and cannot dynamically adjust the resource allocation strategy according to real-time data, thereby causing insufficient strategy optimization and affecting the flexibility and response speed of the supply chain.

[0014] After introducing the basic principles of the present application, various non-limiting embodiments of the present application will be specifically introduced in combination with the drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0015] Embodiment one, as shown in the figure, the embodiments of the present application provide a resource allocation method for supply chain management, the method comprises: Figure 1

[0016] The dynamic monitoring obtains the supply chain change information of the target enterprise, and analyzes the supply chain change information to obtain the supply chain stability.

[0017] The dynamic monitoring obtains the supply chain change information of the target enterprise, and analyzes the supply chain change information to obtain the supply chain stability.

[0018] The multi-dimensional collection obtains the target resource information of the target enterprise, and obtains the allocation optimization constraints in cooperation with the supply chain stability.​

[0019] The target resource information of the target enterprise is collected, and the dimensions of resource collection are diverse, for example: physical resources such as the quantity of raw materials, inventory level, production capacity, etc.; human resources such as the number of employees, skill distribution, availability, etc.; transportation resources such as the availability of transportation fleet, logistics capacity, etc.; financial resources such as financial condition, financing capacity, etc.

[0020] On the basis of resource collection, the target resource information is processed in coordination with the supply chain stability obtained in the foregoing, for example, if the stability of the supply chain is poor (fluctuation is large), the target enterprise needs more resources (such as inventory, emergency supplies, etc.) to cope with uncertainty, and vice versa. According to the stability analysis result, the allocation optimization constraint is defined, including: time constraint, such as the allocation of resources must be completed within a specified time; quantity constraint, the total amount of resource allocation should not exceed the actual available resources; priority constraint, resource allocation according to business demand priority; stability requirement, to ensure that the stability of the supply chain is not lower than a certain preset threshold. The above allocation optimization constraint is the basis of allocation decision, which ensures that in the resource allocation, not only the availability of resources and business demand are considered, but also the stability of the supply chain is fully guaranteed.

[0021] The allocation optimization constraint is used as a condition, and the allocation fitness is used as an evaluation to obtain the target allocation strategy through optimization.

[0022] The allocation optimization constraint is used as a condition, and the allocation fitness is used as an evaluation to obtain the target allocation strategy through optimization.

[0023] The allocation optimization constraint is used as a condition, and the allocation fitness is used as an evaluation to obtain the target allocation strategy through optimization.

[0024] The allocation optimization constraint is used as a condition, and the allocation fitness is used as an evaluation to obtain the target allocation strategy through optimization.

[0025] The target allocation strategy is executed to allocate resources to various businesses or departments in a predetermined proportion, specifically including allocating resources such as materials, inventory, and funds to the departments or links that need them, as well as scheduling suppliers, purchasers, production lines, and other links to ensure smooth operation of production, procurement, logistics, and other links. In the process of resource allocation, the target enterprise needs to coordinate the cooperation of various departments and links to ensure that the needs of each link are met, for example, the production department needs more raw materials, while the sales department needs inventory support, which needs to be balanced through resource allocation.

[0026] Furthermore, before dynamically monitoring the supply chain change information of the target enterprise and analyzing the supply chain change information to obtain the supply chain stability, it further includes:

[0027] A first information database of the supply chain in a first period is established, and the supply chain stability is analyzed based on the first information database, which includes: based on the first information database, a cooperation merchant set is formed, wherein the cooperation merchant set includes a supplier set and a purchaser set; a first data set of a first supplier in the supplier set is obtained, and a first stability coefficient is obtained by analyzing the first data set; a second data set of a first purchaser in the purchaser set is obtained, and a second stability coefficient is obtained by analyzing the second data set; and the average of the first stability coefficient and the second stability coefficient is taken as the supply chain stability.

[0028] The first period is a specific time period in the operation of the supply chain, for example, a month, a quarter, or a fiscal year, which is used to evaluate and monitor the performance and stability of the supply chain. The basic data of the supply chain in the first period is collected, including information on suppliers, purchasers, logistics, production, inventory, etc., to establish a first information database to provide a basis for subsequent analysis. The first information database is analyzed to evaluate the stability of the supply chain as a reference for subsequent decision-making. The specific analysis process is as follows.

[0029] The cooperation merchant set refers to all commercial entities that cooperate in the supply chain. According to the different links of the supply chain, the cooperation merchant set is divided into two main categories, wherein the supplier set refers to all suppliers that provide raw materials, parts, goods, etc. to the target enterprise; the purchaser set refers to all purchasers that purchase products or services from the target enterprise. The relevant supplier and purchaser data are extracted from the first information database to construct the supplier set and the purchaser set.

[0030] A first supplier is randomly extracted from the supplier set as the current analysis object, and a first data set of the first supplier is obtained, which contains data about the operational status, delivery performance, quality control, etc. of the first supplier. The first data set is analyzed to evaluate the performance of the first supplier in the supply chain, for example, using supply cooperation years, supply value proportion, supply quality and supply efficiency as supply evaluation indicators, using weighted average method to score each supply evaluation indicator, to obtain the stability performance of the first supplier, and a first stability coefficient is obtained, which is a numerical value evaluating the contribution of the first supplier to the stability of the supply chain in the first period.

[0031] A first purchaser is randomly extracted from the purchaser set as the current analysis object, and a second data set of the first purchaser is obtained, which contains business data related to the first purchaser, mainly focusing on its impact on the supply chain, such as the demand stability of the purchaser, the order fulfillment of the purchaser, the cooperation history of the purchaser, etc. The second data set is analyzed to evaluate the stability performance of the first purchaser in the supply chain, for example, by analyzing the cooperation years, the proportion of the value of the purchase, and the renewal rate of the purchase, etc. The weighted average method is used to score each indicator to obtain the stability performance of the first purchaser, and a second stability coefficient is obtained, which is a numerical value evaluating the contribution of the first purchaser to the stability of the supply chain in the first period.

[0032] The first stability coefficient (supplier stability) and the second stability coefficient (purchaser stability) are averaged to obtain the stability of the supply chain, which can reflect the common contribution of suppliers and purchasers to the stability of the supply chain. The final supply chain stability can provide a reference for the enterprise in the subsequent resource allocation and supply chain optimization process.

[0033] Further, the first data set of the first supplier in the supplier set is obtained, and the first stability coefficient is obtained by analyzing the first data set, including:

[0034] The predetermined supply evaluation indicators are read, and the first data set is extracted based on the predetermined supply evaluation indicators to obtain a first index parameter set; the first index parameter set is normalized and weighted to obtain the first stability coefficient; wherein the predetermined supply evaluation indicators include supply cooperation years, supply value proportion, supply quality and supply efficiency.

[0035] The predetermined supply evaluation indicators include supply cooperation years, supply value proportion, supply quality, and supply efficiency. The supply cooperation years refer to the cooperation history between the supplier and the target enterprise, reflecting the stability of long-term cooperation between the two parties. A longer cooperation period usually indicates that the supplier and the enterprise have better trust and communication. The supply value proportion refers to the proportion of goods or services provided by the supplier in the total procurement of the target enterprise, reflecting the importance of the supplier in the supply chain. The larger the supply value proportion, the more important the supplier is to the target enterprise. The supply quality refers to the quality of goods or services provided by the supplier, which is usually quantified through quality pass rate, customer feedback, and inspection report. A high-quality supplier can provide stable and required products. The supply efficiency refers to the timeliness and response speed of the supplier's delivery. An efficient supplier can deliver on time and quickly respond to changes in the enterprise's demand.

[0036] For the first data set, information related to the predetermined supply evaluation indicators, including supply cooperation years, supply value proportion, supply quality, and supply efficiency, is extracted by traversal to obtain a first index parameter set. The first index parameter set represents the performance of the first supplier in the supply chain.

[0037] In order to make different indicators comparable, first, each indicator in the first index parameter set is normalized. The purpose of normalization is to convert different indicator values into a standardized range, usually between 0 and 1, so that they can be weighted. For example, the supply cooperation years are usually a large integer value, such as 10 years or 15 years. After standardization, such as dividing the cooperation years by the maximum years, a proportion value between 0 and 1 is obtained. After normalization, each indicator value will be in a unified standard range, facilitating subsequent weighting processing.

[0038] After each indicator is normalized, it is weighted according to its importance. The purpose of weighting is to adjust the proportion of each indicator in the final calculation according to its contribution to the stability of the supplier. Specifically, according to the actual needs of the target enterprise and the importance of each indicator, a weight is set for each indicator. For example, the supply cooperation years are more important than the supply efficiency, so the cooperation years can be given a higher weight. The normalized value of each indicator is multiplied by the corresponding weight, and then added up to obtain a comprehensive first stability coefficient. This first stability coefficient is a value that measures the performance of the first supplier in the first period, reflecting the reliability of the supplier in stabilizing the supply chain.

[0039] Further, a second data set of the first purchaser in the purchaser set is obtained, and a second stability coefficient is analyzed from the second data set, including:

[0040] read a predetermined procurement evaluation index, and traverse extraction based on the predetermined procurement evaluation index on the second data set, to obtain a second index parameter set; normalize and weight the second index parameter set to obtain the second stability coefficient; wherein the predetermined procurement evaluation index includes procurement cooperation years, procurement value proportion and procurement renewal rate.

[0041] read a predetermined procurement evaluation index, including procurement cooperation years, procurement value proportion and procurement renewal rate, wherein the procurement cooperation years represent the cooperation duration between the target enterprise and the purchaser, a longer cooperation years usually means that the relationship between the purchaser and the enterprise is more stable and the risk is lower; the procurement value proportion refers to the proportion of the purchaser in the total procurement amount of the target enterprise, a higher procurement value proportion means that the purchaser occupies an important position in the procurement of the target enterprise and has a greater impact; the procurement renewal rate represents the frequency and success rate of contract renewal between the purchaser and the target enterprise, a high procurement renewal rate usually means that the cooperation relationship between the two parties is stable, and the purchaser has continuous value for the enterprise.

[0042] For the second data set, the information related to the predetermined procurement evaluation index is extracted by traversal, including procurement cooperation years, procurement value proportion and procurement renewal rate, to obtain a second index parameter set, which contains key indicators related to the stability of the purchaser.

[0043] The same as the first index parameter set, each index in the second index parameter set is normalized, and the normalized value of each index is multiplied by the corresponding weight, and then summed up to obtain a comprehensive second stability coefficient. This process is similar to the process of obtaining the first stability coefficient, and will not be repeated here for the sake of brevity. The second stability coefficient reflects the stability performance of the first purchaser in the first period.

[0044] Further, the supply chain change information of the target enterprise is dynamically monitored, and the supply chain stability is analyzed based on the supply chain change information, including:

[0045] According to the second information database of the second period, a comparison result is obtained by comparing with the first information database; calculate the ratio of the number of changes to the total number of the supply chain in the comparison result, denoted as the change ratio; if the change ratio reaches a predetermined change threshold, a reevaluation instruction is issued; based on the reevaluation instruction, the second information database is reevaluated and analyzed, and the supply chain stability is calibrated and adjusted according to the reevaluation result.

[0046] The second period is a new time period, for example, a time period set as a subsequent time period of the first period, such as the next quarter or the next year. The second information database is similar to the first information database and contains data about the links of the supply chain, which are collected based on the supply chain changes occurring in the second period. The second information database is compared with the first information database to identify changes in the supply chain, including quantity changes, quality changes, and timeliness changes, and the comparison result shows which links have changed and the magnitude and impact of the changes.

[0047] The number of changes refers to the number of changes in the links of the supply chain in the comparison result. For example, if there are multiple suppliers with delayed delivery or multiple products with large demand fluctuations, the number of changes is obtained by counting these changes. The total number refers to the total number of all links involved in the comparison, including the number of all suppliers in the supply chain, the number of all product categories of the enterprise, the number of all orders or production batches involved in the target enterprise, etc. The ratio of the number of changes to the total number is calculated to represent the proportion of changes in the supply chain, which is denoted as the change ratio. The change ratio can measure the stability of the supply chain. If the change ratio is high, it means that there are more changes in the links of the supply chain and there is greater instability. Conversely, it means that the supply chain is more stable.

[0048] A predetermined change threshold is set to represent the critical value of the acceptable change ratio. The predetermined change threshold is set by historical data, experience, or expert judgment, for example, 10% or 15%. When the change ratio reaches the predetermined change threshold, a reevaluation instruction is issued to require further evaluation of the supply chain, including reevaluating the stability of the supply chain.

[0049] According to the reevaluation instruction, the second information database is analyzed for reevaluation. The reevaluation process is similar to the process of analyzing the first information database to obtain the stability of the supply chain. Based on the reevaluation result, the stability of the supply chain is adjusted to obtain a more accurate stability of the supply chain.

[0050] Further, the target allocation strategy is obtained by optimization based on the allocation optimization constraint and the allocation fitness as the evaluation, including:

[0051] extracting a first total amount of a first resource in the target resource information, wherein the first resource refers to a resource with the highest priority in resource allocation of the target enterprise; obtaining a predetermined target influence coefficient of the supply chain stability on a target business, wherein the target business refers to any one business in the target enterprise to which the first resource is to be allocated; adjusting the allocation optimization constraint by using the predetermined target influence coefficient as a weight, and adjusting an initial proportion according to an adjustment result to obtain a target proportion, wherein the initial proportion refers to a minimum proportion of the first resource allocated to the target business; obtaining a target allocation amount by combining the first total amount and the target proportion; forming a first allocation strategy based on a corresponding relationship between the target business and the target allocation amount; performing simulation allocation analysis on the first allocation strategy to obtain a first fitness; and when the first fitness reaches a predetermined fitness threshold, regarding the first allocation strategy as the target allocation strategy.

[0052] The target resource information refers to all available resource data of the target enterprise in supply chain management, including materials, equipment, funds, personnel, etc. Each resource has its corresponding total amount, allocation method and priority. The first resource refers to the resource with the highest priority in all resources. The first resource is usually the most critical resource of the target enterprise in a specific period. The first total amount of the first resource is extracted, for example, assuming that the first resource is a certain raw material, then the first total amount is the available inventory of the raw material in the target enterprise.

[0053] The target business refers to a specific business activity or task of the target enterprise that needs to use the first resource, for example, a production task needs to use a specific production line or order of the first resource for production; a procurement plan needs to use the first resource to meet the business demand plan; a research and development project needs to use the first resource to support a specific project.

[0054] The predetermined target influence coefficient refers to the influence degree of the supply chain stability on the target business. This coefficient can be calculated by the following method: according to the supply chain stability evaluation, analyzing the influence of the stability of each link of the supply chain on the target business, for example, if the supply of a supplier is unstable, it may affect the target business related thereto; the dependence degree of the target business on the first resource also affects the stability influence coefficient, and the influence coefficient of the business with high dependence is usually higher.

[0055] According to the predetermined target influence coefficient, the distribution optimization constraint is adjusted. Specifically, when the target influence coefficient of the target business is high, it means that the demand of the target business for the first resource is urgent or important, and therefore the proportion of the target business in resource distribution will be increased accordingly, and the business with higher weight can obtain more resource distribution. The initial proportion refers to the minimum proportion of the target business initially allocated to the first resource without considering the stability influence, for example, if the target business needs to obtain 10% of the first resource, the initial proportion is 10%. The initial proportion is adjusted according to the adjustment result to obtain the target proportion, i.e. the actual proportion of the target business after considering the stability factor. The target proportion is the adjusted resource allocation proportion, which ensures that the most important business can obtain sufficient resources.

[0056] The target allocation amount refers to the amount of resources that the target business should be allocated to, which is calculated according to the first total amount and the target proportion of the target business. Specifically, the first total amount is multiplied by the target proportion to obtain the target allocation amount.

[0057] The target business is matched with the target allocation amount corresponding thereto, so that each business will obtain a specific resource allocation amount, which is derived from the calculation of the target allocation amount. The first allocation strategy refers to a specific resource allocation scheme formulated according to the target allocation amount obtained by the target business. This strategy includes how much resource each business will obtain and how to balance resource allocation among different businesses.

[0058] The simulation distribution analysis evaluates whether the first allocation strategy is effective and can achieve the expected target by simulating the actual resource allocation process. The simulation is usually based on historical data, business models, and hypothetical conditions. The simulation data is evaluated using the simulation return rate, resource utilization rate, and inventory turnover rate as evaluation indicators, and the first fitness is obtained by weighted coefficient of variation calculation. Fitness refers to the degree of excellence of the allocation strategy, which measures the performance of the strategy.

[0059] A predetermined fitness threshold is set, i.e. the resource allocation scheme must reach a certain degree of excellence to be accepted as the final scheme. The predetermined fitness threshold is set through historical data, industry standards, or expert experience, for example, setting an 80% fitness threshold, which means that as long as the fitness reaches 80% or above, the strategy can be considered effective. If the first fitness reaches the predetermined fitness threshold, it can be considered that the allocation strategy is feasible and effective. In this case, the first allocation strategy is used as the target allocation strategy, which will be used to guide the resource allocation of the enterprise.

[0060] Further, after obtaining the predetermined target influence coefficient of the target business on the stability of the supply chain, the method further comprises:

[0061] determining whether the predetermined target influence coefficient reaches a predetermined coefficient threshold value; if yes, adjusting a first priority index of the first resource.

[0062] A predetermined coefficient threshold value is set, which is determined based on historical data, business needs and supply chain risk analysis, etc. as the acceptable target value of the predetermined target influence coefficient. The calculated predetermined target influence coefficient is compared with the predetermined coefficient threshold value to determine whether the target business needs to adjust the resource allocation priority. If the predetermined target influence coefficient is greater than or equal to the predetermined coefficient threshold value, it means that the target business has a high priority demand for resources, and the business needs more attention in resource allocation; if the predetermined target influence coefficient is less than the predetermined coefficient threshold value, it means that the demand of the business is relatively low, and the resource can be allocated to other businesses.

[0063] If the predetermined target influence coefficient is greater than or equal to the predetermined coefficient threshold value, it means that the first priority index needs to be adjusted to improve the resource allocation priority of the target business. For example, for a target business with a high influence coefficient, its priority index can be increased, for example, if the demand of a business is greatly affected by supply chain fluctuations, its priority index can be increased to ensure that it is allocated enough resources. By adjusting the first priority index, the allocation order of resources can be changed to ensure that the most critical and most needed target business can obtain resources in priority under the condition of limited resources.

[0064] Further, the first allocation strategy is simulated and analyzed to obtain a first fitness, comprising:

[0065] Obtaining a first simulation record, wherein the first simulation record includes a first simulation return rate, a first resource utilization rate and a first inventory turnover rate; and performing coefficient of variation weighted calculation on the first simulation return rate, the first resource utilization rate and the first inventory turnover rate to obtain the first fitness.

[0066] The first simulation record refers to the record generated when the first allocation strategy is simulated and analyzed, which contains multiple key indicators for evaluating the effect of resource allocation strategy. The first simulation return rate refers to the ratio between the income obtained by the target business after resource allocation and the resources invested. The higher the return rate, the more effective the resource allocation. The first resource utilization rate refers to the ratio between the actual amount of resources used and the total amount of available resources after resource allocation. High utilization rate means that resources are used efficiently and waste is avoided. The first inventory turnover rate refers to the sales or use frequency of inventory goods within a certain period of time. Higher inventory turnover rate indicates that resources (such as inventory) are effectively managed and quickly circulated.

[0067] The coefficient of variation is a statistical index for measuring the dispersion degree of data, representing the ratio of the standard deviation to the average value of data. The higher the coefficient of variation, the greater the data fluctuation and the higher the instability. Conversely, the lower the coefficient of variation, the smaller the data fluctuation and the better the stability. Here, the coefficients of variation of the first simulation return rate, the first resource utilization rate and the first inventory turnover rate reflect the fluctuation degrees of them in the simulation process. If the fluctuation of a certain index is large, it indicates that the stability of the index is poor and more attention needs to be paid in the resource allocation strategy.

[0068] The weighted calculation of the coefficient of variation is to calculate the weighted average of the three indexes by comprehensively considering the coefficient of variation of each index and combining the weight, and finally obtain the comprehensive fitness value. Specifically, first, according to the fluctuation of the first simulation return rate, the first resource utilization rate and the first inventory turnover rate, the coefficients of variation of them are calculated respectively. Different indexes have different importance to the fitness of the supply chain. Generally, the weight can be set according to the needs of the enterprise. For example, the enterprise may pay more attention to the resource utilization rate and less attention to the inventory turnover rate. By multiplying the coefficient of variation of each index by its corresponding weight and then adding them, the total fitness after weighting, i.e. the first fitness, is obtained. The first fitness is used to measure the overall effect of the resource allocation strategy. The higher the first fitness, the more effective the resource allocation strategy and the better the performance in resource utilization, return rate and inventory management.

[0069] In summary, the resource allocation method for supply chain management provided by the embodiments of the present application has the following technical effects:

[0070] By dynamically monitoring the supply chain change information, the uncertainty factors in the supply chain can be captured in time. This continuous dynamic monitoring can help the target enterprise to evaluate the stability of the supply chain in real time and obtain the supply chain stability index, so as to evaluate the current health status of the supply chain. This enables the enterprise to discover potential risks and take strategy optimization measures in advance to prevent the interruption of the supply chain or the waste of resources. By collecting multi-dimensional target resource information and performing collaborative analysis with the supply chain stability, it is ensured that the resource allocation not only depends on the business demand but also considers the stability of the supply chain. According to the collaborative analysis result, the allocation optimization constraint is set, which helps to prevent the over-concentration or over-dispersion of resources, thereby improving the resource utilization efficiency and the stability of the supply chain. By taking the allocation optimization constraint as the condition and the allocation fitness as the evaluation, the strategy optimization is performed to ensure that the resources can be efficiently allocated to the required business and link, thereby improving the overall operation efficiency. According to the target allocation strategy, the specific resource allocation operation is performed to ensure that the resources are reasonably allocated according to the established strategy. In this way, the efficient use of resources can be realized and the idle and waste of resources can be reduced. The enterprise can realize more accurate, flexible and efficient resource allocation in the complex supply chain environment.

[0071] Embodiment two, based on the same inventive concept as the resource allocation method for supply chain management in the preceding embodiment, as Figure 2 As shown in the embodiment of the present application, a resource allocation system for supply chain management is provided, which comprises:

[0072] A dynamic monitoring module 10 is configured to dynamically monitor supply chain change information of a target enterprise and analyze the supply chain change information to obtain supply chain stability.

[0073] A multi-dimensional collection module 20 is configured to multi-dimensionally collect target resource information of the target enterprise and obtain allocation optimization constraints in cooperation with the supply chain stability.

[0074] An optimization module 30 is configured to perform optimization to obtain a target allocation strategy, with the allocation optimization constraints as conditions and allocation fitness as evaluation.

[0075] A resource allocation processing module 40 is configured to perform resource allocation processing of the target enterprise according to the target allocation strategy.

[0076] Further, the dynamic monitoring module 10 is configured to perform the following operation steps:

[0077] A first information database of the supply chain in a first period is established, and the supply chain stability is analyzed based on the first information database, which comprises: a set of partners is established based on the first information database, wherein the set of partners comprises a set of suppliers and a set of purchasers; a first data set of a first supplier in the set of suppliers is obtained, and a first stability coefficient is analyzed based on the first data set; a second data set of a first purchaser in the set of purchasers is obtained, and a second stability coefficient is analyzed based on the second data set; and the average of the first stability coefficient and the second stability coefficient is taken as the supply chain stability.

[0078] Further, the dynamic monitoring module 10 is configured to perform the following operation steps:

[0079] A predetermined supply evaluation index is read, and a first index parameter set is obtained by traversing and extracting the first data set based on the predetermined supply evaluation index; the first index parameter set is normalized and weighted to obtain the first stability coefficient; wherein the predetermined supply evaluation index comprises supply cooperation time, supply value proportion, supply quality, and supply efficiency.

[0080] Further, the dynamic monitoring module 10 is configured to perform the following operation steps:

[0081] read a predetermined procurement evaluation index, and traverse extraction is performed on the second data set based on the predetermined procurement evaluation index to obtain a second index parameter set; the second index parameter set is normalized and weighted to obtain the second stability coefficient; wherein the predetermined procurement evaluation index includes procurement cooperation years, procurement value proportion, and procurement renewal rate.

[0082] Further, the dynamic monitoring module 10 is configured to perform the following operation steps:

[0083] According to the supply chain change information, a second information database of a second period is established, and the first information database is compared to obtain a comparison result; a ratio of the number of changes to the total number of changes in the supply chain in the comparison result is calculated, denoted as a change ratio; if the change ratio reaches a predetermined change threshold, a reevaluation instruction is issued; based on the reevaluation instruction, the second information database is reevaluated and analyzed, and the supply chain stability is calibrated and adjusted according to the reevaluation result.

[0084] Further, the optimization module 30 is configured to perform the following operation steps:

[0085] A first total amount of the first resource in the target resource information is extracted, wherein the first resource refers to a resource with the highest resource allocation priority in the target enterprise; a predetermined target influence coefficient of the supply chain stability on a target business is obtained, wherein the target business refers to any business in the target enterprise to which the first resource is to be allocated; the allocation optimization constraint is adjusted with the predetermined target influence coefficient as a weight, and an initial proportion is adjusted according to the adjustment result to obtain a target proportion, wherein the initial proportion refers to a minimum proportion of the first resource allocated to the target business; a target allocation amount is obtained by combining the first total amount and the target proportion; a first allocation strategy is formed based on the corresponding relationship between the target business and the target allocation amount; a first fitness is obtained by simulating and allocating the first allocation strategy; when the first fitness reaches a predetermined fitness threshold, the first allocation strategy is taken as the target allocation strategy.

[0086] Further, the optimization module 30 is configured to perform the following operation steps:

[0087] It is judged whether the predetermined target influence coefficient reaches a predetermined coefficient threshold; if yes, the first priority index of the first resource is adjusted.

[0088] Further, the optimization module 30 is configured to perform the following operation steps:

[0089] A first simulation record is acquired, wherein the first simulation record comprises a first simulation return rate, a first resource utilization rate and a first inventory turnover rate; and the first simulation return rate, the first resource utilization rate and the first inventory turnover rate are subjected to a coefficient of variation weighting calculation to obtain the first fitness.

[0090] The resource allocation system for supply chain management in the embodiments can be clearly understood by the skilled in the art through the foregoing detailed description of the resource allocation method for supply chain management. Since the resource allocation system for supply chain management corresponds to the method disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0091] Embodiment Three provides a storage medium, which stores a computer program, and the computer program is executed by a processor to implement any step of Embodiment One.

[0092] The technical features of the above embodiments can be combined in any manner. To make the description concise, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present disclosure.

[0093] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A resource allocation method for supply chain management, characterized by, The method comprises: dynamically monitoring supply chain change information of a target enterprise, and analyzing the supply chain change information to obtain supply chain stability; multi-dimensionally collecting target resource information of the target enterprise, and obtaining allocation optimization constraints in cooperation with the supply chain stability; performing optimization under the allocation optimization constraints and with allocation fitness as evaluation to obtain a target allocation strategy; performing resource allocation processing of the target enterprise according to the target allocation strategy; the optimization under the allocation optimization constraints and with allocation fitness as evaluation to obtain a target allocation strategy comprises: extracting a first total amount of a first resource in the target resource information, wherein the first resource refers to a resource with the highest priority in resource allocation of the target enterprise; obtaining a predetermined target influence coefficient of the supply chain stability on a target business, wherein the target business refers to any business of the target enterprise to which the first resource is to be allocated; adjusting the allocation optimization constraints by taking the predetermined target influence coefficient as a weight, and adjusting an initial proportion according to an adjustment result to obtain a target proportion, wherein the initial proportion refers to a minimum proportion of the first resource allocated to the target business; obtaining a target allocation amount in combination with the first total amount and the target proportion; forming a first allocation strategy based on a corresponding relationship between the target business and the target allocation amount; performing simulation allocation analysis on the first allocation strategy to obtain a first fitness; when the first fitness reaches a predetermined fitness threshold, taking the first allocation strategy as the target allocation strategy; the simulation allocation analysis on the first allocation strategy to obtain a first fitness comprises: obtaining a first simulation record, wherein the first simulation record comprises a first simulation return rate, a first resource utilization rate and a first inventory turnover rate; performing coefficient of variation weighted calculation on the first simulation return rate, the first resource utilization rate and the first inventory turnover rate to obtain the first fitness.

2. The resource allocation method for supply chain management according to claim 1, wherein, Before the dynamic monitoring of the supply chain change information of the target enterprise and the analysis of the supply chain change information to obtain the supply chain stability, further comprising: establishing a first information database of the supply chain in a first period, and analyzing the first information database to obtain the supply chain stability, which comprises: forming a set of cooperating merchants based on the first information database, wherein the set of cooperating merchants comprises a set of suppliers and a set of purchasers; obtaining a first data set of a first supplier in the set of suppliers, and analyzing the first data set to obtain a first stability coefficient; obtaining a second data set of a first purchaser in the set of purchasers, and analyzing the second data set to obtain a second stability coefficient; taking the mean of the first stability coefficient and the second stability coefficient as the supply chain stability.

3. The resource allocation method for supply chain management according to claim 2, wherein, obtaining a first data set of a first supplier in the set of suppliers, and analyzing the first data set to obtain a first stability coefficient comprises: reading predetermined supply evaluation indexes, and traversing and extracting the first data set based on the predetermined supply evaluation indexes to obtain a first index parameter set; normalizing and weighting the first index parameter set to obtain the first stability coefficient; The predetermined supply evaluation index includes supply cooperation years, supply value proportion, supply quality, and supply efficiency.

4. The resource allocation method for supply chain management according to claim 2, wherein, The second data set of the first purchaser in the purchaser set is obtained, and a second stability coefficient is obtained by analyzing the second data set, including: The predetermined procurement evaluation index is read, and the second data set is traversed and extracted based on the predetermined procurement evaluation index to obtain a second index parameter set; The second index parameter set is normalized and weighted to obtain the second stability coefficient; The predetermined procurement evaluation index includes procurement cooperation years, procurement value proportion, and procurement renewal rate.

5. The resource allocation method for supply chain management according to claim 2, wherein, The supply chain stability is obtained by analyzing the supply chain change information of the target enterprise obtained by dynamic monitoring, including: A second information database of a second period is established according to the supply chain change information, and is compared with the first information database to obtain a comparison result; The ratio of the change number to the total number of the supply chain in the comparison result is calculated, denoted as a change ratio; If the change ratio reaches a predetermined change threshold, a reevaluation instruction is issued; The second information database is reevaluated and analyzed based on the reevaluation instruction, and the supply chain stability is calibrated and adjusted according to the reevaluation result.

6. The resource allocation method for supply chain management according to claim 1, wherein, After obtaining the predetermined target influence coefficient of the supply chain stability on the target business, further including: Determine whether the predetermined target influence coefficient reaches a predetermined coefficient threshold; If yes, adjust the first priority index of the first resource.

7. A resource allocation system for supply chain management, characterized by, The system for implementing the resource allocation method for supply chain management according to any one of claims 1-6, the system comprising: A dynamic monitoring module for dynamically monitoring the supply chain change information of the target enterprise and analyzing the supply chain change information to obtain the supply chain stability; A multi-dimensional collection module for multi-dimensionally collecting target resource information of the target enterprise and obtaining allocation optimization constraints in cooperation with the supply chain stability; An optimization module for optimizing the target allocation strategy based on the allocation optimization constraints and the allocation fitness as evaluation; A resource allocation processing module for performing resource allocation processing of the target enterprise according to the target allocation strategy.

8. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to realize the steps of the resource allocation method for supply chain management according to any one of claims 1-6. The computer program is executed by the processor to realize the steps of the resource allocation method for supply chain management according to any one of claims 1-6.

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