Regional material conservation and supply capability assessment method and device, and medium

Abstract

The invention discloses a material insurance and supply capability evaluation method and device for a region and a medium, and the method comprises the steps: carrying out the analysis of the enterprise information of each material insurance and supply enterprise according to a fuzzy analytic hierarchy process, and obtaining the enterprise insurance and supply score of each material insurance and supply enterprise; calculating the enterprise insurance and supply score of each material insurance and supply enterprise to obtain regional enterprise insurance and supply scores; the regional enterprise insurance and supply score is a first evaluation index; calculating the second evaluation index data to obtain a second evaluation index score; the second evaluation index data is related to enterprise information of each material insurance and supply enterprise; and performing weighted summation on the regional enterprise insurance and supply score and the second evaluation index score to obtain the material insurance and supply capability of the region. Through comprehensive and objective quantitative analysis of the enterprise information of the region, the evaluation accuracy of the material conservation and supply capability of the region is improved.

Description

Technical Field

[0001] The present application relates to the technical field of regional material management, and in particular to a method, device, and medium for evaluating the material supply capacity of a region. Background Art

[0002] The importance of ensuring the supply of materials cannot be underestimated. It is a key factor in ensuring the normal operation of society and the quality of people's lives. This involves multiple aspects, including the supply of daily necessities, safe production, the establishment of emergency response plans, and the strengthening of supervision mechanisms. These measures together form the core of the material support system, aiming to ensure the continuity and stability of the supply of materials.

[0003] Ensuring the supply of materials is particularly important when responding to emergencies. Establishing a comprehensive material supply evaluation system and emergency response plan, clarifying the responsibilities and action processes of all parties, and preparing various response measures in advance will help ensure the normal operation of society. To measure the development of material supply in various regions, understand the production and sales performance of supply companies, and establish a regional supply capacity and demand matching assessment model, we will assist the government in precise regulation and optimized resource allocation.

[0004] At present, there is no complete evaluation system for regional material supply assessment. Existing technologies only select multiple evaluation indicators based on user experience when there is an assessment need, and determine the indicator values ​​based on subjective experience, and then conduct simple comparisons based on multiple indicators to roughly understand the regional supply situation. For example, the supply capacity of enterprises is judged based on subjective experience, which leads to low accuracy in the assessment of regional material supply capacity. It is impossible to comprehensively analyze the current status of supply enterprises and regional supply capacity in actual situations, and it is impossible to timely understand the development of supply capacity in various regions. Summary of the Invention

[0005] The embodiments of the present application provide a method, device, and medium for evaluating the material supply capacity of a region, which are used to solve the problem of low accuracy in evaluating the material supply capacity of a region.

[0006] The embodiments of this application adopt the following technical solutions:

[0007] On the one hand, an embodiment of the present application provides a method for evaluating the material supply capacity of a region, the method comprising: analyzing the enterprise information of each material supply enterprise according to the fuzzy hierarchical analysis method to obtain the enterprise supply score of each material supply enterprise; calculating the enterprise supply score of each material supply enterprise to obtain the regional enterprise supply score; the regional enterprise supply score is a first evaluation indicator; calculating the second evaluation indicator data to obtain the second evaluation indicator score; the second evaluation indicator data is related to the enterprise information of each material supply enterprise; performing weighted summation of the regional enterprise supply score and the second evaluation indicator score to obtain the material supply capacity of the region.

[0008] In one example, the enterprise information of each material supply enterprise is analyzed according to the fuzzy hierarchical analysis method to obtain the enterprise supply score of each material supply enterprise, which specifically includes: constructing a hierarchical structure of evaluation factors; the hierarchical structure includes a target layer, a criterion layer and a factor layer; the target layer is used to represent the evaluation of the enterprise based on the basic situation of the supply enterprise and the daily operation of the supply enterprise, the criterion layer includes the target evaluation standard, and the factor layer includes various evaluation factors; constructing a fuzzy judgment matrix for each evaluation factor according to the expert evaluation method; the fuzzy judgment matrix is ​​used to reflect the relative importance of each evaluation factor; according to the fuzzy mathematical method and the fuzzy judgment matrix, the weight of each evaluation factor is obtained to obtain a fuzzy hierarchical analysis model; according to the fuzzy hierarchical analysis model, the enterprise information of each material supply enterprise is analyzed to obtain the enterprise supply score of each material supply enterprise.

[0009] In one example, the enterprise information includes at least one of the following: the number of supply personnel, the number of supply vehicles, the scale of the supply site, the number of supply material categories, the type of supply warehouse, the type of supply categories, production volume, inventory volume, sales volume, and purchase volume.

[0010] In one example, the enterprise supply score of each material supply enterprise is calculated to obtain a regional enterprise supply score, which specifically includes: selecting target material supply enterprises whose enterprise supply score is greater than a preset score threshold; grouping the target material supply enterprises according to the score range to obtain multiple material supply enterprise groups; and taking a weighted sum of the number of enterprises in each material supply enterprise group according to the weight of different score ranges to obtain the regional enterprise supply scores corresponding to the multiple material supply enterprises.

[0011] In one example, the second evaluation indicator includes at least one of the following: the number of supply companies, the number of supply personnel, the number of supply vehicles, the number of supply sites, the number of supply material categories, the number of days the supply company's inventory is sufficient, the supply company's capacity, and the material production capacity.

[0012] In one example, the second evaluation index data is calculated to obtain the second evaluation index score, specifically including: when the second evaluation index is the number of guaranteed supply enterprises, according to the first proportional relationship between the number of guaranteed supply enterprises and the number of regional urban permanent residents, the first proportional relationship is mapped to the second evaluation index score; when the second evaluation index is the number of guaranteed supply personnel, according to the second proportional relationship between the number of guaranteed supply personnel and the number of regional urban permanent residents, the second proportional relationship is mapped to the second evaluation index score; when the second evaluation index is the number of guaranteed supply vehicles, according to the third proportional relationship between the number of guaranteed supply vehicles and the number of regional urban permanent residents, the third proportional relationship is mapped to the second evaluation index score; when the second evaluation index is the scale of guaranteed supply sites, according to the scale of guaranteed supply sites, the third proportional relationship is mapped to the second evaluation index score. The fourth proportional relationship between the scale of the supply site and the number of permanent urban residents in the region is mapped into the second evaluation index score; when the second evaluation indicator is the number of supply material categories, the number of supply material categories is mapped into the second evaluation index score; when the second evaluation indicator is material production capacity, according to the number of categories of major material categories met by all supply enterprises in the region, the number of categories is mapped into the second evaluation index score; when the second evaluation indicator is the number of days of inventory satisfaction of the supply enterprise, according to the total inventory of key supermarket categories preset in the region and the per capita consumption of daily necessities supply categories, the number of days of inventory satisfaction of supermarket categories is obtained, and the number of days of inventory satisfaction of supermarket categories is mapped into the category score; the scores of different categories are added together to obtain the second evaluation index score.

[0013] In one example, the number of days for supermarket category inventory to be sufficient is obtained based on the total inventory of key supermarket categories preset in the region and the per capita consumption of daily necessities supply categories, specifically including: calculating the product of per capita consumption of daily necessities supply categories and the number of permanent urban residents in the region; calculating the ratio of the total inventory of key supermarket categories preset in the region and the product; calculating the ratio of the ratio to the preset supply periodicity index at the current time to obtain the number of days for supermarket category inventory to be sufficient; the supply periodicity index is a coefficient used to adjust the fluctuations in daily necessities demand in different time periods.

[0014] In one example, before analyzing the enterprise information of each material supply enterprise according to the fuzzy hierarchical analysis method to obtain the enterprise supply score of each material supply enterprise, the method also includes: obtaining the initial enterprise information of the material supply enterprise; performing data cleaning on the initial enterprise information to obtain cleaned enterprise information; in the cleaned enterprise information, converting indicators of different orders of magnitude into indicators of the same order of magnitude, converting unstructured data into structured data, and standardizing the name of each material supply enterprise to obtain enterprise information.

[0015] On the other hand, an embodiment of the present application provides a material supply capacity assessment device for a region, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any one of the above-mentioned methods for assessing material supply capacity for a region.

[0016] On the other hand, an embodiment of the present application provides a non-volatile computer storage medium for evaluating the material supply capacity of a region, which stores computer-executable instructions, and the computer-executable instructions can execute any of the above-mentioned methods for evaluating the material supply capacity of a region.

[0017] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0018] Combined with user input, the basic information and daily operation data of the supply guarantee enterprises are obtained through automatic filling of enterprise data. The enterprise information is related to the evaluation indicators. On this basis, the fuzzy hierarchical analysis method is used to convert the qualitative evaluation of the supply guarantee capacity of the supply guarantee enterprises into a quantitative evaluation, so as to score the supply guarantee enterprises. Combined with other evaluation indicators, a regional supply guarantee capacity supply and demand matching evaluation model is finally established, and the region is scored according to the set multiple evaluation indicators.

[0019] Establish a regional supply capacity and demand matching assessment model, centrally summarize and manage the supply of daily necessities enterprises in various links in the region, summarize and display the material supply capacity according to regional dimensions, display information such as supply enterprises, supply materials, supply personnel, supply vehicles, and supply venues in the region, and provide an overview of the material supply capacity of the designated area. Monitor the supply and demand dynamics, market circulation conditions, and price fluctuation trends of various types of daily necessities in real time, assist the government in precise regulation and optimization of resource allocation, assist in industry research, help the government and enterprises understand the current regional material supply status, help government departments understand the basic situation, production capacity, product types, production conditions, etc. of the supply enterprises in the region, and help enterprises conduct horizontal comparisons. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the present application, some embodiments of the present application will be described in detail below with reference to the accompanying drawings, in which:

[0021] Figure 1 A flowchart of a method for evaluating regional material supply capacity provided in an embodiment of the present application;

[0022] Figure 2 A schematic diagram of the structure of a device for evaluating the material supply capacity of a region provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0024] Some embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0025] Figure 1 This is a flow chart of a method for evaluating regional material supply capacity provided by an embodiment of the present application. Certain input parameters or intermediate results in this process allow for manual intervention and adjustment to help improve accuracy.

[0026] The analysis method involved in the embodiments of the present application can be implemented by a terminal device or a server, and the present application does not impose any special restrictions on this. For ease of understanding and description, the following embodiments are described in detail using a server as an example.

[0027] It should be noted that the server can be a single device or a system composed of multiple devices, that is, a distributed server, and this application does not make any specific restrictions on this.

[0028] Figure 1 The process in includes the following steps:

[0029] S101: Analyze the enterprise information of each material supply enterprise according to the fuzzy analytic hierarchy process to obtain the enterprise supply score of each material supply enterprise.

[0030] In some embodiments of the present application, a group of key material supply enterprises are certified, and the production, transportation, warehousing, wholesale, retail and other links are determined through classification and grading, and a list of key material supply enterprises at the district, county and municipal levels is obtained, and the material supply enterprises are classified into product categories.

[0031] Furthermore, material supply companies are required to report data such as registered capital, number of supply personnel, number of supply vehicles, scale of supply sites, type of supply warehouses, types of supply products, production volume, inventory, sales volume, purchase volume, sales price, inventory-to-sales ratio, and number of days available to meet consumption. This data will then be stored in a database. However, existing technologies cannot directly collect and access the various indicators set by regional supply guarantee systems.

[0032] Based on this, enterprise information includes the number of supply personnel, the number of supply vehicles, the scale of supply sites, the number of supply material categories, the type of supply warehouses, the types of supply products, production volume, inventory volume, sales volume, purchase volume and other data.

[0033] It should be noted that the collected raw enterprise information needs to be preprocessed. This mainly includes outlier processing, null value processing, enterprise classification, and name standardization. Null values ​​in the collected business license information, basic information reported by the enterprise, and daily operation data should be supplemented or deleted, and all information on supply guarantee enterprises, supply guarantee personnel, supply guarantee vehicles, and key supply guarantee commodities should be linked. Standardization processing converts indicators of different orders of magnitude into indicators of the same order of magnitude, and converts unstructured data into structured data to facilitate further analysis.

[0034] Based on this, the preprocessing process is as follows:

[0035] First, we obtain the initial company information of the material supply companies. We then cleanse this initial company information to obtain cleaned company information. Within this cleaned company information, we convert indicators of different orders of magnitude to indicators of the same order of magnitude, convert unstructured data to structured data, and standardize the name of each material supply company to obtain the company information.

[0036] In some embodiments of the present application, the fuzzy hierarchical analysis method is used to evaluate the supply guarantee of enterprises, and key indicators are selected to analyze enterprises. For example, basic information related to production, transportation, warehousing, wholesale, and retail enterprises (registered capital, number of supply guarantee personnel, number of supply guarantee vehicles, scale of supply guarantee site, number of supply guarantee material categories, type of supply guarantee warehouse) is combined with data such as the daily operation of the enterprise (supply volume, production volume, inventory volume, sales volume, price, inventory-to-sales ratio, and number of days of consumption of key daily necessities) to conduct data statistics and grade the supply guarantee capacity of daily necessities supply enterprises.

[0037] Based on this, the process of obtaining the enterprise supply security score for each material supply enterprise is as follows:

[0038] First, a hierarchical structure of evaluation factors is constructed, which includes the target layer, the criterion layer and the factor layer.

[0039] It should be noted that the target layer is used to represent the evaluation of enterprises based on their basic conditions and daily operations; the criterion layer includes target evaluation standards; and the factor layer includes various evaluation factors.

[0040] Then, a fuzzy judgment matrix of each evaluation factor is constructed based on the expert evaluation method. The fuzzy judgment matrix is ​​used to reflect the relative importance of each evaluation factor.

[0041] Then, according to the fuzzy mathematical method and fuzzy judgment matrix, the weight of each evaluation factor is obtained, and the fuzzy hierarchical analysis model is obtained.

[0042] Finally, the enterprise information of each material supply enterprise is analyzed according to the fuzzy hierarchical analysis model to obtain the enterprise supply score of each material supply enterprise.

[0043] It should be noted that fuzzy hierarchical analysis is an extension of the analytic hierarchy process. It constructs a fuzzy judgment matrix to handle the comparison between evaluation factors, thereby achieving a graded assessment of supply guarantee enterprises. This method not only considers the relative importance of evaluation factors but also handles the uncertainty and ambiguity in the evaluation through fuzzy mathematics, making the evaluation results more objective and accurate.

[0044] In other words, when applying the fuzzy analytic hierarchy process (AHP) to grading supply guarantee enterprises, a hierarchical structure of evaluation factors is first constructed, consisting of a target layer, a criterion layer, and a factor layer. The target layer represents the overall evaluation objective and divides the enterprise evaluation into two categories: basic information about the supply guarantee enterprise and its daily operations. The criterion layer contains specific evaluation standards or criteria. Basic information about the supply guarantee enterprise focuses on registered capital, number of supply guarantee personnel, number of supply guarantee vehicles, scale of the supply guarantee site, number of supply material categories, and storage types; daily operations of the supply guarantee enterprise focus on the supply volume, production volume, inventory volume, sales volume, price, and inventory-to-sales ratio of key daily necessities. The factor layer specifically evaluates each evaluation factor. Through expert evaluation or questionnaire surveys, each factor is compared pairwise to form a fuzzy judgment matrix. This matrix reflects the relative importance of each factor and is processed using fuzzy mathematics to determine the weight of each factor. The fuzzy AHP can transform the qualitative evaluation of supply guarantee enterprises into a quantitative one, thereby more accurately scoring and grading them. This method not only improves the objectivity and accuracy of the evaluation but also helps optimize resource allocation and management efficiency.

[0045] S102: Calculate the enterprise supply security score of each material supply enterprise to obtain a regional enterprise supply security score; the regional enterprise supply security score is the first evaluation indicator.

[0046] In some embodiments of the present application, target material supply enterprises whose enterprise supply security scores are greater than a preset score threshold are selected.

[0047] According to the score range, the target material supply enterprises are grouped to obtain multiple material supply enterprise groups.

[0048] According to the weights of different score ranges, the number of enterprises in each material supply enterprise group is weighted and summed to obtain the regional enterprise supply scores corresponding to multiple material supply enterprises.

[0049] For example, the score range is greater than 90 points, greater than 80 points, greater than 70 points, greater than 60 points, and greater than 50 points. Among them, the upper limit of the regional enterprise supply guarantee score is 10 points.

[0050] For example, when the preset scoring threshold is above 50 points, the regional enterprise supply guarantee score = the number of enterprises in the region with a score greater than 90 points * 0.5 + the number of enterprises in the region with a score greater than 80 points * 0.4 + the number of enterprises in the region with a score greater than 70 points * 0.3 + the number of enterprises in the region with a score greater than 60 points * 0.2 + the number of enterprises in the region with a score greater than 50 points * 0.1.

[0051] S103: Calculate the second evaluation index data to obtain a second evaluation index score; the second evaluation index data is related to the enterprise information of each material supply enterprise.

[0052] In some embodiments of the present application, the second evaluation indicator includes the number of supply companies, the number of supply personnel, the number of supply vehicles, the number of supply sites, the number of supply material categories, the number of days the supply companies' inventory is sufficient, and the material production capacity.

[0053] For example, the maximum score for the number of supply companies is 10 points, the maximum score for the number of supply personnel is 10 points, the maximum score for the number of supply vehicles is 10 points, the maximum score for the number of supply sites is 10 points, the maximum score for the number of supply material categories is 10 points, the maximum score for the number of days that the supply company's inventory meets the requirements is 30 points, and the maximum score for material production capacity is 10 points.

[0054] Based on this, the calculation process is as follows:

[0055] When the second evaluation indicator is the number of supply-guaranteed enterprises, the first proportional relationship is mapped to the second evaluation indicator score based on the first proportional relationship between the number of supply-guaranteed enterprises and the number of permanent urban residents in the region.

[0056] For example, if the units are as follows: the number of permanent urban residents in each district and county (unit: 10,000 people), and the number of regional supply guarantee enterprises (unit: units), then the score corresponding to the number of supply guarantee enterprises = number of regional supply guarantee enterprises / number of permanent urban residents * 1000.

[0057] Among them, if the number of permanent urban residents meets the requirement of 30 regional supply enterprises per 10 million people, the score is 10 points; if the number of regional supply enterprises per 10 million people is 25 points, the score is 8 points; if the number of regional supply enterprises per 10 million people is 20 points, the score is 6 points; if the number of regional supply enterprises per 10 million people is 15 points, the score is 4 points; if the number of regional supply enterprises per 10 million people is 10 points, the score is 2 points, and the rest will not be scored.

[0058] When the second evaluation indicator is the number of supply personnel, the second proportional relationship is mapped to the second evaluation indicator score based on the second proportional relationship between the number of supply personnel and the number of permanent urban residents in the region.

[0059] For example, if the units are as follows: the number of permanent urban residents in each district and county (unit: 10,000 people), and the number of regional supply guarantee personnel (unit: person), then the score corresponding to the number of regional supply guarantee personnel = number of regional supply guarantee personnel / number of permanent urban residents.

[0060] Among them, if the number of permanent urban residents meets the requirement of 10 guaranteed employees per 10,000 people, the score is 10 points; if it meets the requirement of 8 guaranteed employees per 10,000 people, the score is 8 points; if it meets the requirement of 6 guaranteed employees per 10,000 people, the score is 6 points; if it meets the requirement of 4 guaranteed employees per 10,000 people, the score is 4 points; if it meets the requirement of 2 guaranteed employees per 10,000 people, the score is 2 points. No points are awarded for the rest.

[0061] When the second evaluation indicator is the number of guaranteed vehicles, the third proportional relationship is mapped to the second evaluation indicator score based on the third proportional relationship between the number of guaranteed vehicles and the number of permanent residents in regional towns.

[0062] For example, if the units are as follows: the number of permanent urban residents in each district and county (unit: 10,000 people); the number of regional supply vehicles (unit: vehicles), then the score corresponding to the number of supply vehicles = number of regional supply personnel / number of permanent urban residents * 100.

[0063] Among them, based on the number of permanent urban residents, if the number of guaranteed vehicles per million people is 30, the score is 10 points; if the number of guaranteed vehicles per million people is 25, the score is 8 points; if the number of guaranteed vehicles per million people is 20, the score is 6 points; if the number of guaranteed vehicles per million people is 15, the score is 4 points; if the number of guaranteed vehicles per million people is 10, the score is 2 points. The rest are not awarded.

[0064] When the second evaluation indicator is the scale of the supply site, the fourth proportional relationship is mapped to the second evaluation indicator score based on the fourth proportional relationship between the scale of the supply site and the number of permanent urban residents in the region.

[0065] For example, if the units are as follows: the number of permanent urban residents in each district and county, in ten thousand people; the size of regional guaranteed supply venues, in square meters, the score corresponding to the size of guaranteed supply venues = size of regional guaranteed supply venues / number of permanent urban residents.

[0066] Based on the number of permanent urban residents, if the commercial space is 1,000 square meters per 10,000 people, the score is 10 points; if the commercial space is 800 square meters per 10,000 people, the score is 8 points; if the commercial space is 600 square meters per 10,000 people, the score is 6 points; if the commercial space is 400 square meters per 10,000 people, the score is 4 points; if the commercial space is 200 square meters per 10,000 people, the score is 2 points. The rest are not awarded points.

[0067] When the second evaluation indicator is the quantity of the supply material category, the quantity of the supply material category is mapped to the second evaluation indicator score.

[0068] According to the classification code table for basic necessities, assuming that the total number of guaranteed supply categories is 10, the number of guaranteed supply categories for this region is in units of types.

[0069] If the guaranteed supply materials meet 10 categories, the score is 10 points; if the guaranteed supply materials meet 8 or more categories, the score is 8 points; if the guaranteed supply materials meet 6 or more categories, the score is 6 points; if the guaranteed supply materials meet 4 or more categories, the score is 4 points; if the guaranteed supply materials meet 2 or more categories, the score is 2 points. The rest will not be awarded.

[0070] When the second evaluation indicator is material production capacity, the number of categories of materials that all supply companies in the region meet is calculated, and the number of categories is mapped to the second evaluation indicator score.

[0071] For example, all supply guarantee enterprises in the region will be awarded 1 point for each major category of materials they meet, with a maximum of 10 points.

[0072] When the second evaluation indicator is the number of days of inventory required to ensure supply, the total inventory of key supermarket categories in the region and the per capita consumption of daily necessities supply categories are used to calculate the number of days of inventory required for supermarket categories. This number of days of inventory required for supermarket categories is then mapped to a category score. The scores of different categories are then added together to obtain the score for the second evaluation indicator.

[0073] The process for determining supermarket inventory fulfillment days is as follows: Multiply per capita consumption of daily necessities by the regional urban population. Calculate the ratio of the total inventory of key supermarket categories in the region to this product. Then, calculate the ratio of this ratio to the current preset supply cyclicality index to determine the supermarket inventory fulfillment days. The supply cyclicality index is a coefficient used to adjust for fluctuations in daily necessities demand over different time periods.

[0074] For example, assuming that people's demand for daily necessities is continuous and uniform, the per capita consumption of goods (unit: kilograms); the number of permanent urban residents in the region (unit: people); the total inventory of key supermarkets in the region (unit: kilograms); the number of days the inventory can meet sales (unit: days). The model is adjusted based on the cyclical impact index, with the daily value set to 1. When the supply guarantee time requirement during important holidays is 20% higher than usual, the cyclical index = 1.2.

[0075] Key daily necessities to be supplied: cooking oil, rice, noodles, meat, milk, and eggs.

[0076] Number of days for supermarket category inventory to meet supply requirements = {total supermarket category inventory / (per capita consumption of edible oil * number of permanent urban residents)} / cyclical index

[0077] For example, if the inventory of edible oil meets the requirement for 15 days or more, the score is 5 points; if the inventory meets the requirement for 10 days or more, the score is 3 points; if the inventory meets the requirement for 5 days or more, the score is 1 point, and the rest are not scored.

[0078] If the egg inventory meets the requirement for 10 days or more, the score is 5 points; if the inventory meets the requirement for 8 days or more, the score is 3 points; if the inventory meets the requirement for 5 days or more, the score is 1 point, and no points are awarded for the rest.

[0079] It should be noted that rice, noodles, meat and milk are no longer given as examples.

[0080] The score corresponding to the number of days the supply-guaranteeing enterprise’s inventory meets the requirements = edible oil score + rice score + flour score + meat score + milk score + egg score.

[0081] S104: Perform a weighted summation of the enterprise supply guarantee score of the region and the score of the second evaluation indicator to obtain the material supply guarantee capacity of the region.

[0082] It should be noted that users assign different weights to the eight indicators (the first evaluation indicator and the second evaluation indicator) according to the importance of each factor.

[0083] In summary, by combining the supply capacity of regional enterprises, regional population size, and per capita consumption of daily necessities, we calculated a region's supply capacity at different time scales and its degree of match with actual or expected demand. By constructing a dynamic assessment model, we assisted in simulating market reactions and adjustment processes under different supply and demand conditions. By collecting multi-dimensional data on supply volume, production volume, inventory, sales volume, price, inventory-to-sales ratio, and the number of days available for consumption from regional supply-guaranteeing enterprises, we established a regional supply capacity and demand matching system.

[0084] The supply and demand matching system includes eight sub-indicators: the number of supply-guaranteeing enterprises, the number of supply-guaranteeing personnel, the number of supply-guaranteeing vehicles, the scale of supply-guaranteeing sites, the number of supply-guaranteeing material categories, the number of days of supply-guaranteeing enterprises' inventory satisfaction, the capabilities of supply-guaranteeing enterprises (regional enterprise supply-guaranteeing scores), and material production capabilities. It can conduct a comprehensive evaluation of regional supply-guaranteeing capabilities, monitor the supply and demand dynamics, market circulation conditions, and price fluctuation trends of daily necessities in real time, achieve precise regulation and optimize resource allocation, ensure market stability and security, and assist government decision-making.

[0085] It should be noted that although the embodiments of this application are based on Figure 1 Steps S101 to S104 are described in sequence, but this does not mean that steps S101 to S104 must be performed in a strict order. Figure 1 The order shown in FIG1 is to introduce and explain step S101 to step S104 in order to facilitate those skilled in the art to understand the technical solution of the embodiment of the present application. In other words, in the embodiment of the present application, the order between step S101 to step S104 can be appropriately adjusted according to actual needs.

[0086] pass Figure 1 The method uses crawler technology and big data analysis technology to obtain information such as business licenses of supply guarantee enterprises. Combined with user input, the basic information and daily operation data of supply guarantee enterprises are obtained through automatic filling of enterprise data. On this basis, the fuzzy hierarchical analysis method is used to convert the qualitative evaluation of supply guarantee enterprises into quantitative evaluation, so as to score the supply guarantee enterprises. Finally, a regional supply guarantee capacity supply and demand matching evaluation model is established, and the regions are scored according to the set multiple evaluation indicators.

[0087] Establish a regional supply capacity and demand matching assessment model, centrally summarize and manage the supply of daily necessities enterprises in various links in the region, summarize and display the material supply capacity according to regional dimensions, display information such as supply enterprises, supply materials, supply personnel, supply vehicles, and supply venues in the region, and provide an overview of the material supply capacity of the designated area. Monitor the supply and demand dynamics, market circulation conditions, and price fluctuation trends of various types of daily necessities in real time, assist the government in precise regulation and optimization of resource allocation, assist in industry research, help the government and enterprises understand the current regional material supply status, help government departments understand the basic situation, production capacity, product types, production conditions, etc. of the supply enterprises in the region, and help enterprises conduct horizontal comparisons.

[0088] By comprehensively utilizing digital technologies such as big data, cloud computing, and the Internet of Things, and by continuously collecting massive amounts of high-frequency data from the entire supply chain, including production, transportation, warehousing, wholesale, and retail, a multi-layered, three-dimensional database for daily supply monitoring will be established. This will enhance the ability of government departments to perceive, identify, and screen risks associated with daily necessities. This will address issues such as slow data analysis, late risk discovery, and inefficient response to traditional supply monitoring efforts. This will enable real-time perception and intelligent analysis of supply operation risks on both the supply and demand sides, improving the efficiency of risk management. By strengthening operational monitoring, risk warnings, and verification of daily necessities markets, a timely and accurate list of supply risk risks can be provided for emergency supply operations, improving their efficiency.

[0089] Based on the same idea, some embodiments of the present application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0090] Figure 2 A schematic diagram of a device for assessing regional material supply capacity provided in an embodiment of the present application includes:

[0091] at least one processor; and,

[0092] a memory communicatively connected to the at least one processor; wherein,

[0093] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the above-mentioned methods for evaluating the material supply capacity of a region.

[0094] Some embodiments of the present application provide a non-volatile computer storage medium for evaluating the material supply capacity of a region, which stores computer-executable instructions, and the computer-executable instructions can execute any of the above-mentioned methods for evaluating the material supply capacity of a region.

[0095] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device and medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.

[0096] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0097] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0101] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0102] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0103] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0104] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0105] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modifications, equivalent replacements, improvements, etc. made within the technical principles of the present application should fall within the scope of protection of the present application.

Claims

1. A method for evaluating regional material supply capabilities, characterized in that: The method comprises: The enterprise information of each material supply enterprise is analyzed according to the fuzzy analytic hierarchy process to obtain the enterprise supply score of each material supply enterprise; Calculate the enterprise supply security score of each material supply enterprise to obtain the regional enterprise supply security score; the regional enterprise supply security score is the first evaluation indicator; Calculate the second evaluation index data to obtain a second evaluation index score; the second evaluation index data is related to the enterprise information of each material supply enterprise; The supply guarantee score of enterprises in the region and the score of the second evaluation index are weighted and summed to obtain the material supply guarantee capacity of the region.

2. The method according to claim 1, characterized in that The enterprise information of each material supply enterprise is analyzed according to the fuzzy analytic hierarchy process to obtain the enterprise supply score of each material supply enterprise, which specifically includes: Construct a hierarchical structure of evaluation factors; the hierarchical structure includes a target layer, a criterion layer, and a factor layer; the target layer is used to represent the evaluation of the enterprise based on the basic situation of the supply guarantee enterprise and the daily operation of the supply guarantee enterprise, the criterion layer includes the target evaluation standard, and the factor layer includes various evaluation factors; Constructing a fuzzy judgment matrix for each evaluation factor based on the expert evaluation method; the fuzzy judgment matrix is ​​used to reflect the relative importance of each evaluation factor; According to the fuzzy mathematical method and the fuzzy judgment matrix, the weight of each evaluation factor is obtained, and the fuzzy hierarchical analysis model is obtained; The enterprise information of each material supply enterprise is analyzed according to the fuzzy hierarchical analysis model to obtain an enterprise supply score for each material supply enterprise.

3. The method according to claim 2, characterized in that The enterprise information includes at least one of the following: The number of supply personnel, the number of supply vehicles, the scale of the supply site, the number of supply material categories, the type of supply warehouse, the types of supply products, production volume, inventory volume, sales volume, and purchase volume.

4. The method according to claim 1, wherein The enterprise supply security score of each material supply enterprise is calculated to obtain the regional enterprise supply security score, which specifically includes: Select target material supply enterprises whose supply guarantee scores are greater than the preset score threshold; According to the score range, the target material supply enterprises are grouped to obtain multiple material supply enterprise groups; According to the weights of different score ranges, the number of enterprises in each material supply enterprise group is weighted and summed to obtain the regional enterprise supply scores corresponding to multiple material supply enterprises.

5. The method according to claim 1, wherein The second evaluation indicator includes at least one of the following: The number of supply guarantee enterprises, the number of supply guarantee personnel, the number of supply guarantee vehicles, the number of supply guarantee sites, the number of supply guarantee material categories, the number of days that the supply guarantee enterprises’ inventory can meet their needs, the capacity of the supply guarantee enterprises, and the material production capacity.

6. The method according to claim 1, wherein The calculating of the second evaluation index data to obtain the second evaluation index score specifically includes: When the second evaluation indicator is the number of supply-guaranteed enterprises, based on a first proportional relationship between the number of supply-guaranteed enterprises and the number of permanent urban residents in the region, the first proportional relationship is mapped into a second evaluation indicator score; When the second evaluation indicator is the number of supply guarantee personnel, the second proportional relationship between the number of supply guarantee personnel and the number of permanent urban residents in the region is mapped into a second evaluation indicator score; When the second evaluation indicator is the number of guaranteed supply vehicles, the third proportional relationship between the number of guaranteed supply vehicles and the number of permanent residents in the regional town is mapped into the second evaluation indicator score; When the second evaluation indicator is the scale of the guaranteed supply site, the fourth proportional relationship between the scale of the guaranteed supply site and the number of permanent residents in the regional town is mapped into the second evaluation indicator score; When the second evaluation indicator is the quantity of the guaranteed supply material category, the quantity of the guaranteed supply material category is mapped to the second evaluation indicator score; When the second evaluation indicator is material production capacity, the number of categories that all supply guarantee enterprises in the region meet in the major material categories is mapped to the second evaluation indicator score; When the second evaluation indicator is the number of days of inventory required to ensure supply, the number of days of inventory required for supermarket categories is calculated based on the total inventory of key supermarket categories in the region and the per capita consumption of daily necessities supply categories. The number of days of inventory required for supermarket categories is then mapped to the category score. Add up the scores of different categories to obtain the second evaluation indicator score.

7. The method according to claim 6, characterized in that Based on the total inventory of key supermarket categories in the region and the per capita consumption of daily necessities supply categories, the number of days for supermarket category inventory to meet supply requirements is obtained, including: Calculate the product of per capita consumption of daily necessities and the number of permanent urban residents in the region; Calculate the ratio between the total inventory of the key supermarket category in the region and the product; The ratio between the ratio and the preset supply periodicity index at the current time is calculated to obtain the number of days that supermarket category inventory is sufficient; the supply periodicity index is a coefficient used to adjust the fluctuations in the demand for daily necessities in different time periods.

8. The method according to claim 1, characterized in that Before analyzing the enterprise information of each material supply enterprise according to the fuzzy analytic hierarchy process to obtain the enterprise supply score of each material supply enterprise, the method further includes: Obtain initial enterprise information of material supply enterprises; Performing data cleansing on the initial enterprise information to obtain cleansed enterprise information; In the cleaning enterprise information, indicators of different orders of magnitude are converted into indicators of the same order of magnitude, unstructured data are converted into structured data, and the name of each material supply enterprise is standardized to obtain enterprise information.

9. A device for evaluating regional material supply capacity, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the material supply capacity assessment method for a region as described in any one of claims 1 to 8.

10. A non-volatile computer storage medium for evaluating regional material supply capabilities, storing computer-executable instructions, characterized in that: The computer-executable instructions are capable of executing a method for evaluating regional material supply capabilities as described in any one of claims 1-8.

Images