Hot pot food material supply chain collaborative management system based on cloud computing

Abstract

The invention discloses a hotpot food material supply chain collaborative management system based on cloud computing, and relates to the technical field of supply chain management. The collection module is used for acquiring historical supply records, food material supply capability and food material purchase cost of suppliers; the data processing module is used for calculating trust factors of suppliers, calculating current supply strain constants of the suppliers, calculating the maximum supply quantity of each food material by the suppliers, and calculating the actual supply quantity of different suppliers through an actual supply quantity calculation method; the purchase tasks of the suppliers whose actual supply amounts are smaller than a set threshold value are combined according to a minimum amount purchase method, the trace purchase frequency is reduced, and the management cost is reduced; and the data output module is used for outputting a final calculation result. According to the invention, the temporary supply capability of the suppliers is considered in the collaborative management of the supply chain, so that the handling capability of emergencies can be improved, and the emergency standard of the supply chain management is further perfected.

Description

Technical Field

[0001] This invention relates to the field of supply chain management technology, specifically a cloud-based collaborative management system for hot pot ingredient supply chain. Background Technology

[0002] Supply chain management is the comprehensive management of the entire process of goods from raw material procurement to final delivery. It encompasses supplier selection, production planning, inventory control, logistics and distribution, and after-sales service. By coordinating resources among suppliers, manufacturers, distributors, and retailers, it achieves information sharing and efficient collaboration. Its goals are to reduce costs, improve efficiency, ensure quality, and enhance a company's flexibility in responding to market changes, thereby gaining a competitive edge and meeting diverse and personalized customer needs.

[0003] Collaborative management of the supply chain enables information sharing and efficient collaboration among multiple suppliers. For example, the food supply chain logistics integration management platform system and method (patent publication number CN119026830A) includes a food supply chain knowledge graph construction module for acquiring relevant information and constructing a food supply chain knowledge graph; a freshness analysis module for generating food freshness result information after conducting freshness assessment analysis based on the food supply chain knowledge graph; a food supply chain logistics analysis module for generating corresponding food supply chain logistics analysis result strategies and scheduling route information by combining logistics scheduling information and real-time operational information; and a food supply chain logistics scheduling module. Through these functions, the food supply chain logistics integration management platform system of this invention eliminates the need for manual judgment of food supply and distribution strategies, enabling intelligent scheduling based on analysis results. This improves the transparency, response speed, and overall efficiency of the food supply chain, while reducing costs and risks and ensuring food quality and safety.

[0004] Hot pot ingredient supply chain management can strictly control ingredient quality and safety, optimize procurement and warehousing costs, improve supply efficiency, ensure stable store operations, and enhance customer confidence and brand competitiveness. However, insufficient budget for ingredient purchases is inevitable. The supplier's responsiveness to supply has a significant impact on supply chain management. The above-mentioned methods and supply chain management methods based on the same principle do not take into account the supplier's responsiveness to supply when formulating procurement plans. In case of emergencies, the ability to handle them is insufficient, resulting in imperfect emergency standards for supply chain management. Summary of the Invention

[0005] The purpose of this invention is to provide a cloud computing-based collaborative management system for the hot pot ingredient supply chain to solve the problems mentioned in the background.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a cloud computing-based collaborative management system for hot pot ingredient supply chain, comprising: Collection module: Obtains suppliers' historical supply records, food supply capacity, and food purchase costs. Historical supply records include transaction records between suppliers and the company. Data processing module: The supplier's trust factor is calculated based on the supplier's historical supply records and using a trust factor calculation method: Set the original supply strain constant of the supplier, and then calculate the current supply strain constant based on the transaction records between the supplier and the enterprise and through the strain constant update method, so as to quantify the supplier's supply strain capability. Obtain the company's budgeted purchase quantity. Based on the supplier's food supply capacity, trust factor, and current supply strain constant, calculate the maximum supply quantity of each food item by the supplier using the maximum supply quantity calculation method. Then, calculate the actual supply quantity of the same food item by different suppliers using the actual supply quantity calculation method. The minimum quantity procurement method merges the procurement tasks of suppliers whose actual supply is less than a set threshold, reducing the number of micro-procurements and lowering management costs. Data output module: Used to output the final calculation results.

[0007] Preferably, the trust factor calculation method includes: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply volume and the demand supply volume. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records, and normalization is performed to obtain the trust factor. Specifically: ; in This indicates the supplier's trust factor. This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; Indicates the first The actual supply volume of this transaction Indicates the first The demand and supply of this transaction; Indicates an indicator function, when ≥ This indicates that the transaction has met the target. =1, otherwise It is 0.

[0008] Preferably, the trust factor calculation method includes: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply quantity, the required supply quantity, the actual delivery time, and the required delivery time. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records to obtain a comprehensive compliance weight. Normalization is then performed to obtain a trust factor. Specifically: ; ; in Indicates the overall compliance weight; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This indicates an indicator function that triggers when the transaction quantity reaches a certain threshold. =1, otherwise =0; This indicates an indicator function that, when the delivery time is met... =1, otherwise =0; This indicates the trust factor of the supplier.

[0009] Preferably, the strain constant update method includes: The percentage of provisional supply delivered by the supplier is calculated using the commitment ratio calculation method. Obtain the total number of transactions between the supplier and the company. Weight the current supply strain constant of the previous transaction using the total number of transactions, and then combine this with the commitment ratio to calculate the current supply strain constant for the current transaction. Specifically: ; in This represents the current supply strain constant for this transaction; Indicates the percentage of commitments; This represents the current supply strain constant from the previous transaction; This indicates the total number of transactions with the target supplier.

[0010] Preferably, the method for calculating the commitment ratio is as follows: Sort the target supplier’s historical temporary supply volumes by size, select several historical temporary supply volumes from largest to smallest, and record the committed temporary supply volume in the transaction sample corresponding to the target temporary supply volume. The commitment ratio is calculated by using the sum of all temporary supply quantities as the numerator and 1.2 times the sum of all committed temporary supply quantities as the denominator.

[0011] Preferably, the method for calculating the maximum supply includes: Sort multiple suppliers according to the size of their trust factor; Select the minimum number of suppliers from high to low, ensuring that the total supply from all suppliers exceeds the budgeted purchase amount; The trust factors of the selected suppliers are normalized so that the sum of the normalized values ​​is 1. Using the normalized values ​​as the virtual allocation ratio, calculate the virtual supply quantity of each supplier for the target ingredient; Compare the virtual supply quantity with the supplier's food supply capacity. If the virtual supply quantity is greater than the food supply capacity, calculate the total difference of the excess. Suppliers whose virtual supply is greater than or equal to their food supply capacity are removed. The trust factor is normalized again until the sum of the normalized values ​​is 1. The total difference is then distributed according to the proportion of the normalized values ​​to update the virtual supply. The virtual supply is then compared with the suppliers' food supply capacity again. This process is repeated until the total difference is 0. The maximum supply of suppliers whose virtual supply is greater than or equal to their food supply capacity is the supply quantity within the food supply capacity; the maximum supply of suppliers whose virtual supply is less than their food supply capacity is the virtual supply quantity.

[0012] Preferably, the method for calculating the actual supply includes: Calculate the total procurement cost based on the supplier's maximum supply and the supplier's cost of purchasing ingredients; When the total procurement cost exceeds the procurement budget, the procurement volume of the supplier with the highest procurement cost will be transferred to the supplier with the highest current supply strain constant (excluding the supplier from which the procurement cost was transferred) until the procurement cost is exactly lower than or equal to the procurement budget, provided that the procurement cost does not exceed the supply capacity of the ingredients. If the total procurement cost is lower than the procurement budget, when the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are different suppliers, the procurement volume of the supplier with the lowest food purchase cost will be transferred to the supplier with the highest current supply strain constant until the procurement cost is exactly lower than or equal to the procurement budget. When the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are the same supplier, the transfer will stop. The actual supply is based on the procurement volume after the supplier transfer.

[0013] Preferably, the minimum quantity procurement method includes: Suppliers whose actual purchase volume is lower than the set threshold will be sorted from highest to lowest according to their food purchase cost; Cancel the procurement task of the supplier with the highest food purchase cost. Add the missing procurement quantity after canceling the procurement task to the supplier with the lowest food purchase cost. Continue to allocate the portion exceeding the food supply capacity to the supplier with the lowest food purchase cost. Repeat this process until all suppliers except the supplier with the highest food purchase cost reach the maximum food supply capacity.

[0014] Compared with the prior art, the beneficial effects of the present invention are: By calculating the current supply strain constant through the strain constant update method, the temporary supply capacity of suppliers beyond the standard supply volume can be quantified. When calculating the supplier supply volume, a large amount of procurement is allocated to suppliers with a larger current supply strain constant, thereby improving the ability to handle food shortages and improving the emergency standards of supply chain management.

[0015] At the same time, when allocating procurement quantities, suppliers are first ranked according to trust factors, and suppliers with higher trust factors are given priority. This allows for the selection of higher-quality suppliers, thereby reducing the probability of emergencies and fundamentally ensuring the stability of food supply.

[0016] Moreover, after calculating the maximum supply, the actual supply is calculated using the actual supply calculation method. This not only controls procurement costs, but also allows us to select suppliers with larger current supply strain constants as much as possible without exceeding the procurement budget. This ensures that costs are controllable and improves the resilience of the supply chain. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall process of collaborative management of the hot pot ingredient supply chain in this invention; Figure 2 This is a flowchart illustrating the trust factor calculation method in this invention. Figure 3 This is a schematic flowchart of the strain constant update method in this invention; Figure 4 This is a flowchart illustrating the maximum supply calculation method in this invention. Figure 5 This is a flowchart illustrating the actual supply calculation method in this invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] In this application, for ease of understanding, the method steps used do not necessarily need to be executed in the order of steps in this embodiment during actual operation. In other embodiments, these steps may be performed simultaneously or in a different order.

[0020] Example 1: Insufficient budgets for food purchases are inevitable. Suppliers' responsiveness to supply has a significant impact on supply chain management. Taking into account suppliers' temporary supply capabilities in collaborative supply chain management can improve the ability to handle unexpected situations.

[0021] like Figures 1-5 As shown, the present invention provides a technical solution: a cloud computing-based collaborative management system for hot pot ingredient supply chain, comprising: Collection module: Obtains suppliers' historical supply records, food supply capacity, and food purchase costs. Historical supply records include transaction records between suppliers and the company. Data processing module: The supplier's trust factor is calculated based on the supplier's historical supply records and using a trust factor calculation method: Set the original supply strain constant of the supplier, and then calculate the current supply strain constant based on the transaction records between the supplier and the enterprise and through the strain constant update method, so as to quantify the supplier's supply strain capability. Obtain the company's budgeted purchase quantity. Based on the supplier's food supply capacity, trust factor, and current supply strain constant, calculate the maximum supply quantity of each food item by the supplier using the maximum supply quantity calculation method. Then, calculate the actual supply quantity of the same food item by different suppliers using the actual supply quantity calculation method. The minimum quantity procurement method merges the procurement tasks of suppliers whose actual supply is less than a set threshold, reducing the number of micro-procurements and lowering management costs. Data output module: Used to output the final calculation results.

[0022] It is important to note that the budgeted purchase volume can be estimated manually or by AI based on holidays and actual operating conditions. The budgeting process is based on existing technology and will not be elaborated here. The historical supply record is the data record of the supplier's previous transactions. In addition, when making purchases, it is necessary to determine the budget for this purchase. The purpose of supply chain management is to maximize the ability to handle food shortages and select reliable suppliers within the procurement budget, rather than to reduce costs.

[0023] like Figure 2 As shown, the trust factor calculation method includes: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply volume and the demand supply volume. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records, and normalization is performed to obtain the trust factor. Specifically: ; in This indicates the supplier's trust factor. This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; Indicates the first The actual supply volume of this transaction Indicates the first The demand and supply of this transaction; Indicates an indicator function, when ≥ This indicates that the transaction has met the target. =1, otherwise It is 0.

[0024] It should be noted that, for ease of understanding, the following simulated data is used: Suppose you purchase ingredients from one of your suppliers multiple times: =0.8 (0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into equal weight. The value is mainly determined by the industry experience of those skilled in the art and combined with actual business conditions. Here are the commonly used values. =5 ( The larger the value of , the more accurate the calculation result, but the greater the calculation difficulty. The value can be selected according to the actual situation. In the 5 transactions (the 5th transaction is the most recent transaction and the 1st transaction is the earliest transaction), only the 1st and 3rd transactions had actual supply less than demand.

[0025] Through formula The trust factor of this supplier can be calculated. ≈68.8%.

[0026] The specific method for calculating the commitment ratio is as follows: Sort the target supplier’s historical temporary supply volumes by size, select several historical temporary supply volumes from largest to smallest, and record the committed temporary supply volume in the transaction sample corresponding to the target temporary supply volume. The commitment ratio is calculated by using the sum of all temporary supply quantities as the numerator and 1.2 times the sum of all committed temporary supply quantities as the denominator. Obtain the committed temporary supply volume for this transaction, calculate the product of the committed percentage and the committed temporary supply volume for this transaction, and obtain the theoretical maximum temporary supply volume.

[0027] It should be noted that, for ease of understanding, the following simulated data is used: Suppose a supplier's transaction records are shown in Table 1 below (only the three most recent transactions requiring temporary supply are shown; in actual production, more transaction records can be used, and the more transaction records, the more accurate the calculation results. Here, for ease of calculation, three transactions are used): Table 1: Transaction Record Extraction Table Transaction Sample Temporary supply quantity (kg) Committed temporary supply quantity (kg) 1 70 100 2 84 100 3 90 100 The sum of all temporary supply quantities is 70 + 84 + 90 = 244. The sum of all committed temporary supply quantities is 1.2 times the sum of 1.2 times the sum of 1.2 times the total supply quantities, which is 1.2 × (100 + 100 + 100) = 360. Therefore, the commitment ratio is 244 ÷ 360 ≈ 67.8%.

[0028] When using a multiple of 1.2 here, in order to increase the probability of error tolerance, the budget supplier excessively exaggerates the promised temporary supply in order to complete the transaction. The promised temporary supply is the amount of food that the supplier agrees with the buyer before the transaction is completed, which can be temporarily increased in addition to the purchase quantity.

[0029] refer to Figure 3 As shown, the strain constant update method includes: The percentage of provisional supply delivered by the supplier is calculated using the commitment ratio calculation method. Obtain the total number of transactions between the supplier and the company. Weight the current supply strain constant of the previous transaction using the total number of transactions, and then combine this with the commitment ratio to calculate the current supply strain constant for the current transaction. Specifically: ; in This represents the current supply strain constant for this transaction; Indicates the percentage of commitments; This represents the current supply strain constant from the previous transaction; This indicates the total number of transactions with the target supplier.

[0030] It should be noted that, for ease of understanding, the following simulated data is used: Assuming a total number of transactions =5; Commitment ratio =67.8% (The above calculation was obtained based on three transaction samples, and is consistent with the results here). =5 (no conflict) Current supply strain constant of the last transaction =0.6.

[0031] Then according to the formula The current supply strain constant for this transaction can be calculated. =0.6156.

[0032] Here The current supply strain constant from the previous transaction will be used in the next calculation. That is, for the next calculation If it is the first calculation, the initial supply strain constant needs to be preset, and the setting range is between 0 and 1 (generally set to 0.5). The closer it is to 1, the larger the supply volume of the supplier. It can be set according to the actual situation.

[0033] refer to Figure 4 As shown, the maximum supply calculation method includes: Sort multiple suppliers according to the size of their trust factor; Select the minimum number of suppliers from high to low, ensuring that the total supply from all suppliers exceeds the budgeted purchase amount; The trust factors of the selected suppliers are normalized so that the sum of the normalized values ​​is 1. Using the normalized values ​​as the virtual allocation ratio, calculate the virtual supply quantity of each supplier for the target ingredient; Compare the virtual supply quantity with the supplier's food supply capacity. If the virtual supply quantity is greater than the food supply capacity, calculate the total difference of the excess. Suppliers whose virtual supply is greater than or equal to their food supply capacity are removed. The trust factor is normalized again until the sum of the normalized values ​​is 1. The total difference is then distributed according to the proportion of the normalized values ​​to update the virtual supply. The virtual supply is then compared with the suppliers' food supply capacity again. This process is repeated until the total difference is 0. The maximum supply of suppliers whose virtual supply is greater than or equal to their food supply capacity is the supply quantity within the food supply capacity; the maximum supply of suppliers whose virtual supply is less than their food supply capacity is the virtual supply quantity.

[0034] It should be noted that, for ease of understanding, the following simulated data is used: Assume that the budgeted purchase quantity of beef in a single procurement is 1000 kg; The supplier information is shown in Table 2 below: Table 2: Supplier Information Table supplier Cost of ingredients (RMB) Food supply capacity (kg) Trust factor Current supply strain constant First 36 600 0.7 0.7 Second 40 250 0.9 0.5 C 38 450 0.8 0.6 Man 34 800 0.6 0.8

[0035] The order based on the trust factor is: B, C, A, D; Since the supply quantities of suppliers B, C, and A already meet the requirement of 1000kg, only suppliers B, C, and A are selected, and supplier D is eliminated. After normalizing the trust factors of the three selected suppliers, A, B, and C, the virtual allocation ratios are approximately 0.29, 0.38, and 0.33, respectively. The total quantity of 1000 kg is divided into three virtual allocation ratios, resulting in virtual supply quantities (kg) of 290, 380, and 330 for suppliers A, B, and C, respectively. Since supplier B can only provide 250kg of ingredients, the supply gap of supplier B is 130kg. Suppliers A and C can supply the full amount, so the total gap is 130kg. After normalizing the trust factors of A and C again, the virtual allocation ratios are approximately 0.47 and 0.53, respectively. The total difference of 130kg is divided according to the virtual allocation ratio, and the virtual supply quantities (kg) of suppliers A and C are 61 and 69 respectively. At this point, A's virtual supply is 61 + 290 = 351 kg, and C's virtual supply is 69 + 330 = 399 kg. Both are within the food supply capacity, and the total difference is 0. Therefore, we can determine that A's maximum supply is 351 kg, B's maximum supply is 250 kg, and C's maximum supply is 399 kg.

[0036] refer to Figure 5 As shown, the actual supply calculation method includes: Calculate the total procurement cost based on the supplier's maximum supply and the supplier's cost of purchasing ingredients; When the total procurement cost exceeds the procurement budget, the procurement volume of the supplier with the highest procurement cost will be transferred to the supplier with the highest current supply strain constant (excluding the supplier from which the procurement cost was transferred) until the procurement cost is exactly lower than or equal to the procurement budget, provided that the procurement cost does not exceed the supply capacity of the ingredients. If the total procurement cost is lower than the procurement budget, when the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are different suppliers, the procurement volume of the supplier with the lowest food purchase cost will be transferred to the supplier with the highest current supply strain constant until the procurement cost is exactly lower than or equal to the procurement budget. When the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are the same supplier, the transfer will stop. The actual supply is based on the procurement volume after the supplier transfer.

[0037] It should be noted that, for ease of understanding, the following simulated data is used: We will continue using the simulation data from previous calculations to determine the maximum supply. According to Table 2, the total cost of purchasing 1000kg of ingredients is calculated as: 12636 + 10000 + 15162 = 37798 yuan; Scenario 1: Assuming the procurement budget is 37,600 yuan, the total procurement cost is higher than the budget. In this case, a portion of the procurement volume from supplier B (with the highest food purchase cost) needs to be transferred to supplier A (with the highest current supply strain constant). The transferred volume is 50 kg. The total procurement cost is 14,436 + 8,000 + 15,162 = 37,598 yuan, which is just lower than the procurement budget. Furthermore, transferring the procurement volume to supplier A, which has a higher current supply strain constant, can further improve the resilience against food shortages.

[0038] Scenario 2: Assuming the procurement budget is 38,000 yuan, since the supplier with the lowest food purchase cost (A) is the same supplier with the highest current supply strain constant (A), the supplier has the strongest resistance to food shortages and the supplier's credit allocation is the most perfect, so no adjustment is needed.

[0039] The minimum quantity procurement method includes: Suppliers whose actual purchase volume is lower than the set threshold will be sorted from highest to lowest according to their food purchase cost; Cancel the procurement task of the supplier with the highest food purchase cost, and add the missing procurement quantity after canceling the procurement task to the supplier with the lowest food purchase cost. Repeat this process until all suppliers except the supplier with the highest food purchase cost reach the maximum food supply capacity.

[0040] It should be noted that, for ease of understanding, the following simulated data is used: Assume the purchase quantity from supplier 1 is 5kg, the food purchase cost is 36 yuan, and the food supply capacity is 10kg; the purchase quantity from supplier 2 is 8kg, the food supply capacity is 10kg, and the food purchase cost is 37 yuan; the purchase quantity from supplier 3 is 6kg, the food purchase cost is 39 yuan, and the food supply capacity is 15kg; and the purchase quantity from the remaining suppliers is greater than 10kg. The threshold is set at 10kg (this threshold is determined by technical personnel based on the purchase volume and is used to exclude small purchase quantities that are difficult to manage uniformly). The purchase volume of supplier 3, which has the highest food purchase cost, is transferred to supplier 1, which has the lowest food purchase cost. At this time, the purchase volume of supplier 1 is 11kg and the purchase volume of supplier 2 is 8kg. However, since Supplier 1's food supply capacity is 10kg, the excess 1kg is incorporated into Supplier 2, resulting in Supplier 1's purchase quantity being 10kg and Supplier 2's purchase quantity being 9kg. At this point, all suppliers (Supplier 1) except for the supplier with the highest food purchase cost (Supplier 2) reach their maximum food supply capacity, which can merge multiple small purchase quantities and reduce the management cost of multiple purchases.

[0041] Example 2: When calculating a supplier's trust factor, it is only based on whether the transaction volume meets the target. Although this can reduce the amount of calculation, the trust factor is also affected by factors such as whether the delivery is timely. Calculating the trust factor based solely on the transaction volume makes it difficult to guarantee its accuracy. Therefore, this embodiment provides another trust factor calculation method, which improves the accuracy of the trust factor calculation compared to the first embodiment.

[0042] Trust factor calculation methods include: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply quantity, the required supply quantity, the actual delivery time, and the required delivery time. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records to obtain a comprehensive compliance weight. Normalization is then performed to obtain a trust factor. Specifically: ; ; in Indicates the overall compliance weight; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This indicates an indicator function that triggers when the transaction quantity reaches a certain threshold. =1, otherwise =0; This indicates an indicator function that, when the delivery time is met... =1, otherwise =0; This indicates the trust factor of the supplier.

[0043] It should be noted that, for ease of understanding, the following simulated data is used: Suppose you purchase ingredients from one of your suppliers multiple times: =0.8 (0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into equal weight. The value is mainly determined by the industry experience of those skilled in the art and combined with actual business conditions. Here are the commonly used values. =5 ( The larger the value of , the more accurate the calculation result, but the greater the calculation difficulty. The value can be selected according to the actual situation. In the 5 transactions (the 5th transaction is the most recent transaction and the 1st transaction is the earliest transaction), only the 1st and 3rd transactions had actual supply quantities less than demand quantities. In the 5 transactions, only the 2nd transaction had an actual delivery time that exceeded the time limit.

[0044] Through formula Calculations show that, The overall compliance weights are 0.4096, 0.512, 0.64, 1.2, and 1.5, respectively, based on the formula... The trust factor of the supplier can then be calculated. ≈84.5%.

[0045] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A cloud-based collaborative management system for hot pot ingredient supply chain, comprising: Collection module: Obtains suppliers' historical supply records, food supply capacity, and food purchase costs. Historical supply records include transaction records between suppliers and the company. Its features are: Data processing module: The supplier's trust factor is calculated based on the supplier's historical supply records and using a trust factor calculation method: Set the original supply strain constant of the supplier, and then calculate the current supply strain constant based on the transaction records between the supplier and the enterprise and through the strain constant update method, so as to quantify the supplier's supply strain capability. Obtain the company's budgeted purchase quantity. Based on the supplier's food supply capacity, trust factor, and current supply strain constant, calculate the maximum supply quantity of each food item by the supplier using the maximum supply quantity calculation method. Then, calculate the actual supply quantity of the same food item by different suppliers using the actual supply quantity calculation method. The minimum quantity procurement method merges the procurement tasks of suppliers whose actual supply is less than a set threshold, reducing the number of micro-procurements and lowering management costs. Data output module: Used to output the final calculation results.

2. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The trust factor calculation method includes: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply volume and the demand supply volume. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records, and normalization is performed to obtain the trust factor. Specifically: ； in This indicates the supplier's trust factor. This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; Indicates the first The actual supply volume of this transaction Indicates the first The demand and supply of this transaction; Indicates an indicator function, when ≥ This indicates that the transaction has met the target. =1, otherwise It is 0.

3. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The trust factor calculation method includes: Extract several recent transaction records between the supplier and the company in chronological order. The transaction records include the actual supply quantity, the required supply quantity, the actual delivery time, and the required delivery time. A time decay factor is set, and the time decay weight is calculated based on this factor. This weight is then applied to several transaction records to obtain a comprehensive compliance weight. Normalization is then performed to obtain a trust factor. Specifically: ； ； in Indicates the overall compliance weight; This represents the time decay factor, and 0 < ≤1, the closer the value is to 1, the greater the weight of the more recent transaction. When the weight is 1, it degenerates into an equal-weighted form; This represents the total number of selected recent transactions, sorted by time from earliest to latest. =1 represents the earliest transaction. = The most recent transaction; This indicates an indicator function that triggers when the transaction quantity reaches a certain threshold. =1, otherwise =0; This indicates an indicator function that, when the delivery time is met... =1, otherwise =0; This indicates the trust factor of the supplier.

4. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The strain constant update method includes: The percentage of provisional supply delivered by the supplier is calculated using the commitment ratio calculation method. Obtain the total number of transactions between the supplier and the company. Weight the current supply strain constant of the previous transaction using the total number of transactions, and then combine this with the commitment ratio to calculate the current supply strain constant for the current transaction. Specifically: ； in This represents the current supply strain constant for this transaction; Indicates the percentage of commitments; This represents the current supply strain constant from the previous transaction; This indicates the total number of transactions with the target supplier.

5. A cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 4, characterized in that: The specific method for calculating the commitment ratio is as follows: Sort the target supplier’s historical temporary supply volumes by size, select several historical temporary supply volumes from largest to smallest, and record the committed temporary supply volume in the transaction sample corresponding to the target temporary supply volume. The commitment ratio is calculated by using the sum of all temporary supply quantities as the numerator and 1.2 times the sum of all committed temporary supply quantities as the denominator.

6. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The method for calculating the maximum supply includes: Sort multiple suppliers according to the size of their trust factor; Select the minimum number of suppliers from high to low, ensuring that the total supply from all suppliers exceeds the budgeted purchase amount; The trust factors of the selected suppliers are normalized so that the sum of the normalized values ​​is 1. Using the normalized values ​​as the virtual allocation ratio, calculate the virtual supply quantity of each supplier for the target ingredient; Compare the virtual supply quantity with the supplier's food supply capacity. If the virtual supply quantity is greater than the food supply capacity, calculate the total difference of the excess. Suppliers whose virtual supply is greater than or equal to their food supply capacity are removed. The trust factor is normalized again until the sum of the normalized values ​​is 1. The total difference is then distributed according to the proportion of the normalized values ​​to update the virtual supply. The virtual supply is then compared with the suppliers' food supply capacity again. This process is repeated until the total difference is 0. The maximum supply of suppliers whose virtual supply is greater than or equal to their food supply capacity is the supply quantity within the food supply capacity; the maximum supply of suppliers whose virtual supply is less than their food supply capacity is the virtual supply quantity.

7. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The method for calculating the actual supply includes: Calculate the total procurement cost based on the supplier's maximum supply and the supplier's cost of purchasing ingredients; When the total procurement cost exceeds the procurement budget, the procurement volume of the supplier with the highest procurement cost will be transferred to the supplier with the highest current supply strain constant (excluding the supplier from which the procurement cost was transferred) until the procurement cost is exactly lower than or equal to the procurement budget, provided that the procurement cost does not exceed the supply capacity of the ingredients. If the total procurement cost is lower than the procurement budget, when the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are different suppliers, the procurement volume of the supplier with the lowest food purchase cost will be transferred to the supplier with the highest current supply strain constant until the procurement cost is exactly lower than or equal to the procurement budget. When the supplier with the lowest food purchase cost and the supplier with the highest current supply strain constant are the same supplier, the transfer will stop. The actual supply is based on the procurement volume after the supplier transfer.

8. The cloud computing-based collaborative management system for hot pot ingredient supply chain according to claim 1, characterized in that: The minimum quantity procurement method includes: Suppliers whose actual purchase volume is lower than the set threshold will be sorted from highest to lowest according to their food purchase cost; Cancel the procurement task of the supplier with the highest food purchase cost. Add the missing procurement quantity after canceling the procurement task to the supplier with the lowest food purchase cost. Continue to allocate the portion exceeding the food supply capacity to the supplier with the lowest food purchase cost. Repeat this process until all suppliers except the supplier with the highest food purchase cost reach the maximum food supply capacity.

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