An integrated supply chain logistics management system

Abstract

The present invention discloses a comprehensive supply chain logistics management system, which relates to the technical field of supply chain logistics management and includes the following modules: a demand statistics module, which obtains the total remaining quantity of products, sets the product supply cycle time, obtains the historical daily consumption quantity of supplied products to establish a product consumption database, and obtains a predicted consumption value according to the product consumption database; calculates the predicted consumption value based on the historical daily quantity of products, so as to estimate the future product consumption quantity, calculates the total product demand according to the predicted consumption value, the total remaining quantity of products and the product supply cycle time, and then calculates the maximum support days of the products according to the total remaining quantity of products and the predicted consumption value, so as to facilitate mastering the total quantity of products that need to be purchased and the number of days that the remaining products can be maintained without affecting production, thereby facilitating the subsequent implementation of a targeted procurement plan for products according to the actual situation.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain logistics management, and particularly to an integrated supply chain logistics management system. Background Art

[0002] A supply chain is an overall functional network chain structure that starts from supporting parts around a core enterprise, manufactures intermediate products and final products, and finally delivers the products to consumers through a sales network, connecting suppliers, manufacturers, distributors, retailers until the end users. An efficient supply chain is crucial for the success of an enterprise. It involves multiple links such as the procurement of raw materials, the coordination of the production process, the storage and transportation of products, and the management of sales channels. A good supply chain can ensure that products are delivered to the target location at the right cost, at the right time, and accurately, meeting the needs of consumers. By optimizing the supply chain, enterprises can improve operational efficiency, reduce costs, enhance competitiveness, and better respond to market changes and uncertainties.

[0003] In the process of an enterprise purchasing products through the supply chain, since the purchase quantity and purchase standards change dynamically with market demand, and there are numerous suppliers, in most cases, the enterprise combines many factors such as product price, transportation cost, and supplier inventory, and conducts batch and mixed purchases among multiple suppliers, so as to ensure an appropriate cost while meeting the actual demand of the enterprise. The management effect of manually managing and coordinating the supply chain logistics based on experience is very limited, and often the optimal solution cannot be adopted in the selection of supply chain logistics. In order to facilitate the intelligent management of supply chain logistics according to the actual needs of the enterprise, we propose an integrated supply chain logistics management system. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an integrated supply chain logistics management system to solve the above problems in the prior art.

[0006] (2) Technical Solutions

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: An integrated supply chain logistics management system includes the following modules:

[0008] A demand statistics module, which obtains the total remaining quantity of products, sets the product supply cycle time, obtains the historical daily consumption quantity of supplied products to establish a product consumption database, obtains the predicted consumption value based on the product consumption database, obtains the total product demand through the predicted consumption value, the total remaining quantity of products, and the product supply cycle time, and obtains the maximum support days of products through the total remaining quantity of products and the predicted consumption value;

[0009] The supply planning module respectively obtains the product values of all suppliers, respectively obtains the logistics values of all suppliers, respectively obtains the supply coefficients through the product values and logistics values of all suppliers, and makes a supply plan based on the total product demand, the maximum support days of the product, the supply coefficient, the product value, and the logistics value;

[0010] The risk prediction module makes a risk assessment of the suppliers in the supply plan through the maximum support days of the product and marks the risk suppliers;

[0011] The risk remedy module obtains the supply volume of the risk suppliers and selects remedy suppliers from all suppliers according to the supply volume of the risk suppliers.

[0012] Preferably, in the demand statistics module, the predicted consumption value is obtained according to the product consumption database, specifically:

[0013] Step 1: Obtain the daily product consumption quantities within seven days as of today, and arrange the seven product consumption quantities in chronological order;

[0014] Step 2: Subtract the product consumption quantities of every two adjacent dates to obtain the product consumption difference, and sum all the product consumption differences to obtain the total product consumption variable;

[0015] Step 3: Sum and average the daily product consumption quantities within seven days to obtain the average product consumption value, and sum and average the average product consumption value and the product consumption quantity today to obtain the consumption reference value;

[0016] Step 4: Sum the consumption reference value and the total product consumption variable to obtain the predicted consumption value.

[0017] Preferably, the calculation method of the total product demand in the demand statistics module is specifically:

[0018] ;

[0019] Among them, represents the total product demand, represents the product supply cycle time, represents the predicted consumption value, represents the remaining total product quantity.

[0020] Preferably, in the demand statistics module, the maximum support days of the product are obtained through the remaining total product quantity and the predicted consumption value, specifically:

[0021] Step 1: Obtain the remaining total product quantity, obtain the predicted consumption value, and divide the remaining total product quantity by the predicted consumption value to obtain the support days;

[0022] Step 2: Determine whether the number of support days is an integer. If the number of support days is an integer, subtract one from the number of support days to obtain the maximum number of support days. If the number of support days is not an integer, take the integer part of the number of support days as the maximum number of support days.

[0023] Preferably, obtain the product values of all suppliers in the supply planning module specifically as follows:

[0024] Step 1: Obtain the remaining product quantity of the supplier, the unit price of the supplier's product, the historical supply quantity of the supplier, and the quantity of non-conforming products in the historical supply quantity of the supplier;

[0025] Step 2: Subtract the quantity of non-conforming products in the historical supply quantity of the supplier from the historical supply quantity of the supplier to obtain the historical qualified product quantity of the supplier, and divide the historical qualified product quantity of the supplier by the historical supply quantity of the supplier to obtain the supply quality of the supplier;

[0026] Step 3: Obtain the product value of the supplier based on the remaining product quantity of the supplier, the unit price of the supplier's product, and the supply quality of the supplier;

[0027] The calculation method of the product value of the supplier is specifically as follows:

[0028] ;

[0029] where Cn represents the product value of the supplier, Sn represents the remaining product quantity of the supplier, Zn represents the supply quality of the supplier, Di represents the unit price of the supplier's product, 、 and are all weights, , , 。

[0030] Preferably, obtain the logistics values of all suppliers in the supply planning module specifically as follows:

[0031] Step 1: Obtain the logistics speed of the supplier, the logistics distance of the supplier, the total number of historical supplies of the supplier, and the total number of historical supply logistics default overtimes of the supplier;

[0032] Step 2: Subtract the total number of historical supply logistics default overtimes of the supplier from the total number of historical supplies of the supplier to obtain the total number of historical supply compliance times of the supplier, and divide the total number of historical compliance times of the supplier by the total number of historical supplies of the supplier to obtain the credit value of the supplier;

[0033] Step 3: Obtain the logistics value of the supplier based on the logistics speed of the supplier, the logistics distance of the supplier, and the credit value of the supplier;

[0034] The calculation method of the logistics value of the supplier, specifically:

[0035] ;

[0036] Among them, represents the logistics value of the supplier, represents the logistics speed of the supplier, represents the credit value of the supplier, represents the logistics distance of the supplier, , and are both weights, , , .

[0037] Preferably, the calculation method of the supply coefficient in the supply planning module is specifically:

[0038] ;

[0039] Among them, represents the supply coefficient, represents the product value of the supplier, represents the logistics value of the supplier, and are both weights, , .

[0040] Preferably, in the supply planning module, a supply plan is made based on the total product demand, the maximum support days of the product, the supply coefficient, the product value, and the logistics value, specifically:

[0041] Step 1: Obtain the maximum support days of the product, divide the maximum support days of the product into three equal parts to obtain the first supply interval, the second supply interval, and the third supply interval, obtain the total product demand, and divide the total product demand into three equal parts to obtain the first supply quantity, the second supply quantity, and the third supply quantity;

[0042] Step 2: Arrange the logistics values of all suppliers in ascending order, select the supplier with the largest logistics value as the first target supplier, and purchase the first supply quantity of products from the first target supplier to maintain the first supply interval;

[0043] Step 3: Arrange the supply coefficients of all suppliers in ascending order, select the supplier with the largest supply coefficient as the second target supplier, and purchase the second supply quantity of products from the second target supplier to maintain the second supply interval;

[0044] Step 4: Arrange the product values of all suppliers in ascending order, select the supplier with the largest product value as the third target supplier, and purchase products in the third supply quantity from the third target supplier to maintain the third supply interval.

[0045] Preferably, the risk prediction module is specifically as follows:

[0046] Step 1: Obtain the remaining product quantity of the first target supplier, obtain the first supply quantity, compare the size relationship between the remaining product quantity of the first target supplier and the first supply quantity. If the remaining product quantity of the first target supplier is less than the first supply quantity, mark the first target supplier as a risky supplier.

[0047] Step 2: Obtain the logistics speed of the first target supplier, obtain the logistics distance of the first target supplier, divide the logistics distance of the first target supplier by the logistics speed of the first target supplier to obtain the logistics time of the first target supplier, compare the size relationship between the logistics time of the first target supplier and the first supply interval. If the logistics time of the first target supplier is greater than the first supply interval, mark the first target supplier as a risky supplier.

[0048] Preferably, the risk remedy module is specifically as follows: Obtain the reason why the first target supplier is marked as a risky supplier.

[0049] If it is marked as a risky supplier because the remaining product quantity of the first target supplier is less than the first supply quantity, subtract the remaining product quantity of the first target supplier from the first supply quantity to obtain the supply difference, select the supplier with the second largest logistics value as the remedy supplier, and purchase products in the supply difference from the remedy supplier to jointly maintain the first supply interval.

[0050] If it is marked as a risky supplier because the logistics time of the first target supplier is greater than the first supply interval, activate an alarm to remind the management that all current suppliers cannot supply products in a timely manner.

[0051] (III) Beneficial effects

[0052] The present invention provides a comprehensive supply chain logistics management system, which has the following beneficial effects:

[0053] In the demand statistics module of this solution, the predicted consumption value is calculated based on the historical daily quantity of the product, so as to estimate the future product consumption quantity. The total product demand is calculated based on the predicted consumption value, the total remaining product quantity, and the product supply cycle time. Then, the maximum support days of the product are calculated based on the total remaining product quantity and the predicted consumption value, so as to facilitate grasping the total quantity of products to be purchased and the number of days that the remaining product quantity can maintain without affecting production, thus facilitating the subsequent implementation of a targeted procurement plan for products according to the actual situation.

[0054] In this solution, in the supply planning module, suppliers are selected for product procurement through comprehensive analysis of the product values and logistics values of all suppliers. Finally, a supply plan is made based on the total product demand, the maximum support days of the product, the supply coefficient, the product value, and the logistics value, so as to facilitate making procurement decisions among many suppliers in combination with the actual needs of the enterprise, and thus facilitate formulating a procurement plan with lower costs and more efficient logistics conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic structural diagram of a comprehensive supply chain logistics management system of the present invention;

[0056] Figure 2 It is a flow chart of a comprehensive supply chain logistics management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0058] Please refer to Figure 1 - Figure 2 , the present invention provides a comprehensive supply chain logistics management system, including the following modules:

[0059] A demand statistics module, which obtains the total remaining quantity of products, sets the product supply cycle time, obtains the historical daily consumption quantity of the supplied products to establish a product consumption database, obtains the predicted consumption value according to the product consumption database, obtains the total product demand through the predicted consumption value, the total remaining quantity of products, and the product supply cycle time, and obtains the maximum support days of the product through the total remaining quantity of products and the predicted consumption value;

[0060] A supply planning module, which respectively obtains the product values of all suppliers, respectively obtains the logistics values of all suppliers, respectively obtains the supply coefficient through the product values and logistics values of all suppliers, and makes a supply plan according to the total product demand, the maximum support days of the product, the supply coefficient, the product value, and the logistics value;

[0061] A risk prediction module, which makes a risk assessment of the suppliers in the supply plan through the maximum support days of the product and marks the risk suppliers;

[0062] A risk remedy module, which obtains the supply quantity of the risk suppliers and selects remedy suppliers from all suppliers according to the supply quantity of the risk suppliers;

[0063] In the demand statistics module, the calculation method of the total product demand is specifically:

[0064] ;

[0065] Among them, represents the total product demand, represents the product supply cycle time, represents the predicted consumption value, represents the total remaining product;

[0066] In the supply planning module, the calculation method of the supply coefficient is specifically:

[0067] ;

[0068] Among them, represents the supply coefficient, represents the product value of the supplier, represents the logistics value of the supplier, and are both weights, , .

[0069] In this embodiment, in the demand statistics module, the present solution estimates the predicted consumption value based on the historical daily quantity of the product, so as to estimate the future product consumption quantity. The total product demand is calculated according to the predicted consumption value, the total remaining product, and the product supply cycle time. Then, the maximum support days of the product are calculated according to the total remaining product and the predicted consumption value, so as to facilitate grasping the total quantity of products that need to be purchased and the number of days that the remaining products can be maintained without affecting production, thus facilitating the subsequent implementation of a targeted procurement plan for products according to the actual situation;

[0070] In the supply planning module, the present solution selects suppliers for product procurement through comprehensive analysis of the product values and logistics values of all suppliers, and finally makes a supply plan according to the total product demand, the maximum support days of the product, the supply coefficient, the product value, and the logistics value, so as to facilitate making a procurement decision among many suppliers in combination with the actual needs of the enterprise, and thus facilitating formulating a procurement plan with lower cost and more efficient logistics;

[0071] In the risk prediction module, the present solution makes a risk assessment of the suppliers within the supply plan, so as to facilitate judging whether the selected suppliers can supply products within the maximum support days of the remaining products of the enterprise, and thus is beneficial to avoiding the impact of untimely product supply on the normal production and operation of the enterprise;

[0072] In this solution, in the risk remedy module, the remedy suppliers are selected according to the actual situations of all suppliers, so as to combine the remedy suppliers and the risk suppliers to jointly supply the products required by the enterprise, which is further beneficial to avoiding the impact of untimely product supply on the normal production and operation of the enterprise, and at the same time reasonably purchasing the products at a relatively low cost.

[0073] It is worth mentioning that the weight values in this solution can be obtained through the analytic hierarchy process, which will not be elaborated here.

[0074] In the demand statistics module, the predicted consumption value is obtained based on the product consumption database, specifically as follows:

[0075] Step 1: Obtain the daily product consumption quantities within seven days as of today, and arrange the seven product consumption quantities in the order of dates.

[0076] Step 2: Calculate the difference between the product consumption quantities of every two adjacent dates to obtain the product consumption difference, and sum all the product consumption differences to obtain the total product consumption variable.

[0077] Step 3: Sum and average the daily product consumption quantities within seven days to obtain the average product consumption value, and sum and average the average product consumption value and the product consumption quantity today to obtain the consumption reference value.

[0078] Step 4: Sum the consumption reference value and the total product consumption variable to obtain the predicted consumption value.

[0079] In this embodiment, by calculating the difference between the daily product consumption quantities within seven days as of today to obtain the product consumption difference, it is convenient to master the increase situation of the consumed product quantity, and then it is convenient to accurately predict the future product consumption quantity, and then it is convenient to calculate the number of days that the remaining product quantity can support in the subsequent calculation, and then it is convenient to select a suitable supplier to formulate a procurement plan according to the number of supported days in the subsequent process.

[0080] In the demand statistics module, the maximum support days of the product are obtained through the total remaining quantity of the product and the predicted consumption value, specifically as follows:

[0081] Step 1: Obtain the total remaining quantity of the product, obtain the predicted consumption value, and divide the total remaining quantity of the product by the predicted consumption value to obtain the support days.

[0082] Step 2: Judge whether the support days are an integer. If the support days are an integer, subtract one from the support days to obtain the maximum support days. If the support days are not an integer, take the integer part of the support days as the maximum support days.

[0083] In this embodiment, the maximum support days of the product are calculated through the total remaining quantity of the product and the predicted consumption value, which is convenient to select a suitable supplier to formulate a procurement plan according to the maximum support days.

[0084] Obtain the product values of all suppliers in the supply planning module respectively, specifically:

[0085] Step 1: Obtain the remaining product quantity of the supplier, obtain the unit price of the supplier's products, obtain the historical supply quantity of the supplier, and obtain the quantity of non-conforming products in the historical supply quantity of the supplier;

[0086] Step 2: Subtract the quantity of non-conforming products in the historical supply quantity of the supplier from the historical supply quantity of the supplier to obtain the historical qualified product quantity of the supplier, and divide the historical qualified product quantity of the supplier by the historical supply quantity of the supplier to obtain the supply quality of the supplier;

[0087] Step 3: Obtain the product value of the supplier through the remaining product quantity of the supplier, the unit price of the supplier's products, and the supply quality of the supplier;

[0088] The calculation method of the product value of the supplier is specifically:

[0089] ;

[0090] Among them, Cn represents the product value of the supplier, Sn represents the remaining product quantity of the supplier, Zn represents the supply quality of the supplier, Di represents the unit price of the supplier's products, 、 and are all weights, , , 。

[0091] In this embodiment, by combining the remaining product quantity, unit price, and supply quality of the supplier to obtain the product value, it is convenient to master the product situation of the supplier, and then it is convenient to select a supplier with lower cost and higher quality as the procurement target among all suppliers subsequently, which is beneficial to reducing the procurement cost of the enterprise and also beneficial to improving the procurement quality of the enterprise.

[0092] Obtain the logistics values of all suppliers in the supply planning module respectively, specifically:

[0093] Step 1: Obtain the logistics speed of the supplier, obtain the logistics distance of the supplier, obtain the total number of historical supplies of the supplier, and obtain the total number of historical supply logistics default overtime of the supplier;

[0094] Step 2: Subtract the total number of historical supply logistics default overtime of the supplier from the total number of historical supplies of the supplier to obtain the total number of historical supply compliance of the supplier, and divide the total number of historical compliance of the supplier by the total number of historical supplies of the supplier to obtain the credit value of the supplier;

[0095] Step 3: Obtain the logistics value of the supplier based on the supplier's logistics speed, logistics distance, and credit value;

[0096] The calculation method of the supplier's logistics value is specifically as follows:

[0097] ;

[0098] Among them, represents the logistics value of the supplier, represents the logistics speed of the supplier, represents the credit value of the supplier, represents the logistics distance of the supplier, , and are all weights, , , .

[0099] In this embodiment, by combining the supplier's logistics speed, logistics distance, and credit value to obtain the logistics value, it is convenient to select suppliers with better credit and faster logistics efficiency among all suppliers, thereby benefiting to reduce the risk that the shortage of enterprise products affects production.

[0100] Make a supply plan according to the total product demand, maximum product support days, supply coefficient, product value, and logistics value in the supply planning module. Specifically:

[0101] Step 1: Obtain the maximum product support days, divide the maximum product support days into three equal parts to obtain the first supply interval, the second supply interval, and the third supply interval, obtain the total product demand, and divide the total product demand into three equal parts to obtain the first supply quantity, the second supply quantity, and the third supply quantity;

[0102] Step 2: Arrange the logistics values of all suppliers in ascending order, select the supplier with the largest logistics value as the first target supplier, and purchase the first supply quantity of products from the first target supplier to maintain the first supply interval;

[0103] Step 3: Arrange the supply coefficients of all suppliers in ascending order, select the supplier with the largest supply coefficient as the second target supplier, and purchase the second supply quantity of products from the second target supplier to maintain the second supply interval;

[0104] Step 4: Arrange the product values of all suppliers in ascending order, select the supplier with the largest product value as the third target supplier, and purchase the third supply quantity of products from the third target supplier to maintain the third supply interval.

[0105] In this embodiment, it is divided into three supply intervals according to the maximum support days of the product, and three supply quantities are divided according to the total demand of the product, so as to facilitate targeted procurement from different suppliers according to the different degrees of tension of product demand, which is beneficial to reducing the risk that the shortage of enterprise products affects production while beneficial to reducing procurement costs and improving the quality of purchased products.

[0106] The risk prediction module is specifically as follows:

[0107] Step 1: Obtain the remaining product quantity of the first target supplier, obtain the first supply quantity, compare the size relationship between the remaining product quantity of the first target supplier and the first supply quantity. If the remaining product quantity of the first target supplier is less than the first supply quantity, mark the first target supplier as a risky supplier;

[0108] Step 2: Obtain the logistics speed of the first target supplier, obtain the logistics distance of the first target supplier, divide the logistics distance of the first target supplier by the logistics speed of the first target supplier to obtain the logistics time of the first target supplier, compare the size relationship between the logistics time of the first target supplier and the first supply interval. If the logistics time of the first target supplier is greater than the first supply interval, mark the first target supplier as a risky supplier.

[0109] In this embodiment, it is judged whether the first target supplier is a risky supplier according to the remaining product quantity and logistics time of the first target supplier, so as to facilitate subsequent selection of a remedial supplier for the risky supplier, which is further beneficial to avoiding the risk that the shortage of enterprise products affects production.

[0110] The risk remediation module is specifically as follows: Obtain the reason why the first target supplier is marked as a risky supplier;

[0111] If it is marked as a risky supplier because the remaining product quantity of the first target supplier is less than the first supply quantity, subtract the remaining product quantity of the first target supplier from the first supply quantity to obtain the supply difference, select the supplier with the second largest logistics value as the remedial supplier, and purchase products with the supply difference from the remedial supplier to jointly maintain the first supply interval;

[0112] If it is marked as a risky supplier because the logistics time of the first target supplier is greater than the first supply interval, activate an alarm to remind the management that all current suppliers cannot supply products in time.

[0113] In this embodiment, the remedial supplier is selected according to the actual situation of all suppliers, so as to jointly supply the products required by the enterprise with the remedial supplier and the risky supplier, which is further beneficial to avoiding the situation that the untimely product supply affects the normal production and operation of the enterprise, and at the same time reasonably purchasing products at a relatively low cost.

[0114] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] As described above, the specific implementation manners of the present application are only described, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application.

Claims

1. An integrated supply chain logistics management system, characterized in that, It includes the following modules: A demand statistics module that obtains the remaining total quantity of the product, sets the product supply cycle time, obtains the historical daily consumption quantity of the supplied product to establish a product consumption database, obtains the predicted consumption value based on the product consumption database, obtains the total product demand through the predicted consumption value, the remaining total quantity of the product, and the product supply cycle time, and obtains the maximum support days of the product through the remaining total quantity of the product and the predicted consumption value; A supply planning module that respectively obtains the product values of all suppliers, respectively obtains the logistics values of all suppliers, respectively obtains the supply coefficients through the product values and logistics values of all suppliers, and makes a supply plan based on the total product demand, the maximum support days of the product, the supply coefficients, the product values, and the logistics values; A risk estimation module that makes a risk assessment of the suppliers in the supply plan through the maximum support days of the product and marks the risk suppliers; A risk remedy module that obtains the supply quantity of the risk suppliers and selects remedy suppliers from all suppliers according to the supply quantity of the risk suppliers; In the supply planning module, a supply plan is made based on the total product demand, the maximum support days of the product, the supply coefficients, the product values, and the logistics values. Specifically: Step 1: Obtain the maximum support days of the product, divide the maximum support days of the product into three equal parts to obtain the first supply interval, the second supply interval, and the third supply interval, obtain the total product demand, and divide the total product demand into three equal parts to obtain the first supply quantity, the second supply quantity, and the third supply quantity; Step 2: Arrange the logistics values of all suppliers in ascending order, select the supplier with the largest logistics value as the first target supplier, and purchase the first supply quantity of products from the first target supplier to maintain the first supply interval; Step 3: Arrange the supply coefficients of all suppliers in ascending order, select the supplier with the largest supply coefficient as the second target supplier, and purchase the second supply quantity of products from the second target supplier to maintain the second supply interval; Step 4: Arrange the product values of all suppliers in ascending order, select the supplier with the largest product value as the third target supplier, and purchase the third supply quantity of products from the third target supplier to maintain the third supply interval; The risk estimation module is specifically: Step 1: Obtain the remaining product quantity of the first target supplier, obtain the first supply quantity, compare the size relationship between the remaining product quantity of the first target supplier and the first supply quantity. If the remaining product quantity of the first target supplier is less than the first supply quantity, mark the first target supplier as a risk supplier; Step 2: Obtain the logistics speed of the first target supplier, obtain the logistics distance of the first target supplier, divide the logistics distance of the first target supplier by the logistics speed of the first target supplier to obtain the logistics time of the first target supplier, compare the size relationship between the logistics time of the first target supplier and the first supply interval. If the logistics time of the first target supplier is greater than the first supply interval, mark the first target supplier as a risk supplier; The risk remedy module is specifically: Obtain the reason why the first target supplier is marked as a risk supplier; If the first target supplier is marked as a risky supplier because the remaining product quantity is less than the first supply quantity, then subtract the remaining product quantity of the first target supplier from the first supply quantity to obtain the supply difference. Select the supplier with the second-largest logistics value as the remedial supplier and purchase products with the supply difference from the remedial supplier to jointly maintain the first supply range. If the first target supplier is marked as a risky supplier because the logistics time is greater than the first supply range, then activate an alarm to remind the management that all current suppliers cannot supply products in a timely manner.

2. The integrated supply chain logistics management system according to claim 1, characterized in that: In the demand statistics module, obtain the predicted consumption value based on the product consumption database. Specifically: Step 1: Obtain the daily product consumption quantities within seven days as of today, and arrange the seven product consumption quantities in the order of the dates. Step 2: Subtract the product consumption quantity of each two adjacent dates to obtain the product consumption difference, and sum all the product consumption differences to obtain the total product consumption variable. Step 3: Sum and average the daily product consumption quantities within seven days to obtain the average product consumption value, and sum and average the average product consumption value and the product consumption quantity today to obtain the consumption reference value. Step 4: Sum the consumption reference value and the total product consumption variable to obtain the predicted consumption value.

3. An integrated supply chain logistics management system according to claim 1, characterized in that: In the demand statistics module, the calculation method of the total product demand is as follows: ； Among them, represents the total product demand, represents the product supply cycle time, represents the predicted consumption value, represents the total remaining product.

4. An integrated supply chain logistics management system according to claim 1, characterized in that: In the demand statistics module, obtain the maximum support days of the product through the total remaining product quantity and the predicted consumption value. Specifically: Step 1: Obtain the total remaining product quantity, obtain the predicted consumption value, and divide the total remaining product quantity by the predicted consumption value to obtain the support days. Step 2: Determine whether the support days are an integer. If the support days are an integer, subtract one from the support days to obtain the maximum support days. If the support days are not an integer, take the integer part of the support days as the maximum support days.

5. An integrated supply chain logistics management system according to claim 1, characterized in that: In the supply planning module, obtain the product values of all suppliers respectively. Specifically: Step 1: Obtain the remaining product quantity of the supplier, obtain the unit price of the supplier's products, obtain the historical supply quantity of the supplier, and obtain the quantity of non-conforming products in the historical supply quantity of the supplier. Step 2: Subtract the quantity of non-conforming products in the historical supply quantity of the supplier from the historical supply quantity of the supplier to obtain the historical qualified product quantity of the supplier, and divide the historical qualified product quantity of the supplier by the historical supply quantity of the supplier to obtain the supply quality of the supplier. Step 3: Obtain the product value of the supplier through the remaining product quantity of the supplier, the unit price of the supplier's products, and the supply quality of the supplier. The calculation method of the product value of the supplier is as follows: ； Among them, Cn represents the product value of the supplier, Sn represents the remaining product quantity of the supplier, Zn represents the supply quality of the supplier, and Di represents the unit price of the supplier's product. , and are weights, , , .

6. The integrated supply chain logistics management system according to claim 5, wherein: In the supply planning module, obtain the logistics values of all suppliers respectively. Specifically: Step 1: Obtain the logistics speed of the supplier, obtain the logistics distance of the supplier, obtain the total number of historical supplies of the supplier, and obtain the total number of historical supply logistics default overtime of the supplier. Step 2: Subtract the total number of historical supply logistics default overtime of the supplier from the total number of historical supplies of the supplier to obtain the total number of historical supply compliance of the supplier, and divide the total number of historical compliance of the supplier by the total number of historical supplies of the supplier to obtain the credit value of the supplier. Step 3: Obtain the logistics value of the supplier based on the logistics speed of the supplier, the logistics distance of the supplier, and the credit value of the supplier; The calculation method of the logistics value of the supplier is specifically as follows: ； Among them, represents the logistics value of the supplier, represents the logistics speed of the supplier, represents the credit value of the supplier, represents the logistics distance of the supplier, 、 and are all weights, , , 。 7. An integrated supply chain logistics management system according to claim 1, characterized in that: The calculation method of the supply coefficient in the supply planning module is specifically as follows: ； Among them, is expressed as the supply coefficient, is expressed as the product value of the supplier, is expressed as the logistics value of the supplier, and are both weights, , .

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