Comprehensive supply chain logistics management system

Abstract

The invention discloses a comprehensive supply chain logistics management system, and relates to the technical field of supply chain logistics management, and the system comprises the following modules: a demand statistics module which obtains the total residual quantity of products, sets the supply cycle time of the products, obtains the historical daily consumption quantity of the supplied products, and builds a product consumption database; obtaining a predicted consumption value according to the product consumption database; the method comprises the following steps: calculating a predicted consumption value according to a historical daily number of products so as to estimate a future product consumption number, calculating a total product demand amount according to the predicted consumption value, a total product residual amount and a product supply cycle time, and then calculating a maximum supporting day number of the products according to the total product residual amount and the predicted consumption value; therefore, the total number of products needing to be purchased and the number of remaining products can be conveniently mastered on the premise that production is not affected, and then a targeted purchasing plan can be conveniently executed on the products according to the actual situation in the follow-up process.

Description

Technical Field

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

[0002] The supply chain is a whole functional network structure that revolves around the core enterprise, starting from supporting parts, making intermediate products and final products, and finally delivering products to consumers through the sales network. It is connected by suppliers, manufacturers, distributors, retailers and end users. An efficient supply chain is crucial to the success of an enterprise. It involves 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 accurately at the right cost, at the right time, and meet the needs of consumers. By optimizing the supply chain, enterprises can improve operational efficiency, reduce costs, enhance competitiveness, and better cope with market changes and uncertainties.

[0003] In the process of purchasing products through the supply chain, since the purchase quantity and purchase standards change dynamically with market demand, and there are many suppliers, in most cases, enterprises combine many factors such as product price, transportation cost and supplier inventory to make mixed purchases from multiple suppliers in batches, so as to ensure the appropriate cost as much as possible while meeting the actual demand of the enterprise. The management effect of supply chain logistics management and coordination through manpower and experience is very limited, and it is often impossible to adopt the optimal solution in supply chain logistics selection. In order to facilitate the intelligent management of supply chain logistics according to the actual needs of enterprises, we propose a comprehensive supply chain logistics management system. Summary of the invention

[0004] 1. Technical issues to be resolved

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

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a comprehensive supply chain logistics management system, including the following modules:

[0008] Demand statistics module, obtains the total remaining amount of products, sets the product supply cycle time, obtains the historical daily consumption of the 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 amount of products and the product supply cycle time, and obtains the maximum supporting days of the product through the total remaining amount of products and the predicted consumption value;

[0009] The supply planning module obtains the product values ​​and logistics values ​​of all suppliers respectively, obtains the supply coefficients through the product values ​​and logistics values ​​of all suppliers respectively, and makes supply planning based on the total product demand, the maximum number of days the product can be supported, the supply coefficients, the product values ​​and the logistics values;

[0010] The risk assessment module assesses the risk of suppliers in the supply plan based on the maximum support days of the product and marks risky suppliers;

[0011] The risk remediation module obtains the supply quantity of risk suppliers and selects remediation suppliers from all suppliers based on the supply quantity of risk suppliers.

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

[0013] Step 1: Get the daily product consumption quantity within seven days ending today, and arrange the consumption quantities of the seven products in chronological order of date;

[0014] Step 2: Subtract the product consumption quantity between every two adjacent dates to obtain the product consumption difference, and sum up 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 mean product consumption value, and sum and average the mean product consumption value and today's product consumption quantity to obtain the consumption reference value;

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

[0017] Preferably, the total product demand in the demand statistics module is calculated as follows:

[0018] Cz=Zs×Yx-Sy

[0019] Among them, Cz represents the total product demand, Zs represents the product supply cycle time, Yx represents the predicted consumption value, and Sy represents the total remaining product.

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

[0021] Step 1: Get the remaining total amount of the product, get the predicted consumption value, and calculate the support days by dividing the remaining total amount of the product by the predicted consumption value;

[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 get 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, the product values ​​of all suppliers are obtained separately in the supply planning module, specifically:

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

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

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

[0027] The supplier's product value is calculated as follows:

[0028]

[0029] Among them, Cn represents the remaining quantity of the supplier's products, Zn represents the supply quality of the supplier, Di represents the unit price of the supplier's products, θ1, θ2 and θ3 are all weights, 1>θ1>0, 1>θ2>0, 1>θ3>0.

[0030] Preferably, the logistics values ​​of all suppliers are obtained separately in the supply planning module, specifically:

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

[0032] Step 2: Subtract the total number of historical supply times of the supplier from the total number of historical supply logistics breach and timeouts of the supplier to obtain the total number of historical supply compliance times of the supplier, and take the total number of historical compliance times of the supplier from the total number of historical supply times of the supplier to obtain the credit value of the supplier;

[0033] Step 3: Obtain the supplier's logistics value through the supplier's logistics speed, the supplier's logistics distance and the supplier's credit value;

[0034] The calculation method of the supplier's logistics value is as follows:

[0035]

[0036] Among them, Lw represents the logistics value of the supplier, Sd represents the logistics speed of the supplier, Xy represents the credit value of the supplier, Lu represents the logistics distance of the supplier, δ1, δ2 and δ3 are all weights, 1>δ1>0, 1>δ2>0, 1>δ3>0.

[0037] Preferably, the supply coefficient is calculated in the supply planning module as follows:

[0038]

[0039] Among them, Gs represents the supply coefficient, Cn represents the supplier's product value, and Lw represents the supplier's logistics value. and are weights,

[0040] Preferably, in the supply planning module, supply planning is made according to the total product demand, the maximum product support days, 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 demand for the product, and divide the total demand for the product 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 volume of products from the first target supplier to maintain the first supply range;

[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 volume of products from the second target supplier to maintain the second supply range;

[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 the third supply volume of products from the third target supplier to maintain the third supply range.

[0045] Preferably, the risk assessment module is specifically:

[0046] Step 1: Obtain the remaining product quantity of the first supplier, obtain the first supply quantity, compare the remaining product quantity of the first supplier with the first supply quantity, and if the remaining product quantity of the first supplier is less than the first supply quantity, mark the first supplier as a risky supplier;

[0047] Step 2: Obtain the logistics speed and logistics distance of the first supplier, obtain the logistics time of the first supplier by dividing the logistics distance of the first supplier by the logistics speed of the first supplier, and compare the logistics time of the first supplier with the first supply interval. If the logistics time of the first supplier is greater than the first supply interval, mark the first supplier as a risky supplier.

[0048] Preferably, the risk remediation module specifically comprises: obtaining the reason why the first supplier is marked as a risk supplier;

[0049] If the first supplier is marked as a risk supplier because the remaining product quantity of the first supplier is less than the first supply quantity, the first supply quantity is subtracted from the remaining product quantity of the first supplier to obtain the supply difference, and the supplier with the second largest logistics value is selected as the remedial supplier, and products of the supply difference are purchased from the remedial supplier to jointly maintain the first supply range;

[0050] If the first supplier is marked as a risky supplier because its logistics time is greater than the first supply interval, an alarm will be activated to remind management personnel that all current suppliers are unable to 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] (1) In the demand statistics module, this solution calculates the predicted consumption value based on the historical daily quantity of the product, thereby estimating the future product consumption quantity, and calculates the total product demand based on the predicted consumption value, the total remaining product quantity and the product supply cycle time. Then, the maximum number of days the product can be supported is calculated based on the total remaining product quantity and the predicted consumption value, so as to facilitate the grasp of the total number of products that need to be purchased and the number of days the remaining product quantity can be maintained without affecting production, so as to facilitate the subsequent implementation of targeted procurement plans for products according to actual conditions;

[0054] (2) In the supply planning module, this solution selects suppliers for product procurement through a comprehensive analysis of the product value and logistics value of all suppliers. Finally, a supply plan is made based on the total product demand, the maximum number of days the product can be supported, the supply coefficient, the product value and the logistics value. This makes it easier to make procurement decisions among many suppliers based on the actual needs of the enterprise, thereby making it easier to formulate procurement plans with lower costs and more efficient logistics conditions. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0056] Figure 2 The present invention is a flowchart of a comprehensive supply chain logistics management system. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] See also Figure 1-Figure 2 The present invention provides a comprehensive supply chain logistics management system, including the following modules:

[0059] Demand statistics module, obtains the total remaining amount of products, sets the product supply cycle time, obtains the historical daily consumption of the 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 amount of products and the product supply cycle time, and obtains the maximum supporting days of the product through the total remaining amount of products and the predicted consumption value;

[0060] The supply planning module obtains the product values ​​and logistics values ​​of all suppliers respectively, obtains the supply coefficients through the product values ​​and logistics values ​​of all suppliers respectively, and makes supply planning based on the total product demand, the maximum number of days the product can be supported, the supply coefficients, the product values ​​and the logistics values;

[0061] The risk assessment module assesses the risk of suppliers in the supply plan based on the maximum support days of the product and marks risky suppliers;

[0062] The risk remediation module obtains the supply volume of risk suppliers and selects remediation suppliers from all suppliers based on the supply volume of risk suppliers;

[0063] The calculation method of total product demand in the demand statistics module is as follows:

[0064] Cz=Zs×Yx-Sy

[0065] Among them, Cz represents the total demand for products, Zs represents the product supply cycle time, Yx represents the predicted consumption value, and Sy represents the total remaining amount of products;

[0066] The calculation method of the supply coefficient in the supply planning module is as follows:

[0067]

[0068] Among them, Gs represents the supply coefficient, Cn represents the supplier's product value, and Lw represents the supplier's logistics value. and are weights,

[0069] In this embodiment, the solution calculates the predicted consumption value based on the historical daily quantity of the product in the demand statistics module, thereby estimating the future product consumption quantity, and calculating the total product demand based on the predicted consumption value, the total remaining quantity of the product and the product supply cycle time, and then calculating the maximum supporting days of the product based on the total remaining quantity of the product and the predicted consumption value, so as to facilitate the grasp of the total quantity of products that need to be purchased and the number of days that the remaining quantity of products can be maintained without affecting production, so as to facilitate the subsequent implementation of targeted procurement plans for products according to actual conditions;

[0070] In the supply planning module, this solution selects suppliers for product procurement through comprehensive analysis of the product value and logistics value of all suppliers, and finally makes supply planning based on the total product demand, the maximum number of days of product support, the supply coefficient, the product value and the logistics value, so as to make procurement decisions among many suppliers in accordance with the actual needs of the enterprise, and thus make procurement plans with lower costs and more efficient logistics conditions;

[0071] This solution conducts risk assessment on suppliers in the supply plan in the risk assessment module, so as to judge whether the selected supplier can provide product supply within the maximum support days of the company's remaining products, thereby helping to avoid the impact of untimely product supply on the normal production and operation of the company;

[0072] In the risk remediation module, this solution selects remediation suppliers based on the actual situation of all suppliers, so that the remediation suppliers and risk suppliers can jointly supply the products needed by the enterprise, which is further beneficial to avoid the impact of untimely product supply on the normal production and operation of the enterprise, and at the same time reasonably purchase products at a relatively low cost;

[0073] It is worth mentioning that the weight values ​​in this scheme can be obtained through the hierarchical analysis method, which will not be elaborated here.

[0074] In the demand statistics module, the predicted consumption value is obtained according to the product consumption database, specifically:

[0075] Step 1: Get the daily product consumption quantity within seven days ending today, and arrange the consumption quantities of the seven products in chronological order of date;

[0076] Step 2: Subtract the product consumption quantity between every two adjacent dates to obtain the product consumption difference, and sum up 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 mean product consumption value, and sum and average the mean product consumption value and today's product consumption quantity to obtain the consumption reference value;

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

[0079] In this embodiment, the product consumption difference is obtained by subtracting the daily product consumption quantities within the seven days ending today, so as to facilitate the grasp of the increase in the number of consumed products, and then facilitate the accurate prediction of future product consumption quantities, and then facilitate the subsequent calculation of the number of days that the remaining product quantity can support, and then facilitate the subsequent selection of suitable suppliers according to the number of days supported to formulate procurement plans.

[0080] In the demand statistics module, the maximum number of days a product can be supported is obtained by comparing the remaining total amount of the product with the predicted consumption value. Specifically:

[0081] Step 1: Get the remaining total amount of the product, get the predicted consumption value, and calculate the support days by dividing the remaining total amount of the product by the predicted consumption value;

[0082] 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 get 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.

[0083] In this embodiment, the maximum supporting days of the product are calculated by the total remaining amount of the product and the predicted consumption value, so that it is convenient to select a suitable supplier and formulate a procurement plan according to the maximum supporting days.

[0084] In the supply planning module, obtain the product values ​​of all suppliers separately, specifically:

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

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

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

[0088] The supplier's product value is calculated as follows:

[0089]

[0090] Among them, Cn represents the remaining quantity of the supplier's products, Zn represents the supply quality of the supplier, Di represents the unit price of the supplier's products, θ1, θ2 and θ3 are all weights, 1>θ1>0, 1>θ2>0, 1>θ3>0.

[0091] In this embodiment, the product value is obtained by combining the supplier's remaining product quantity, product unit price and supply quality, which makes it easier to grasp the supplier's product situation, and then facilitates the subsequent selection of suppliers with lower costs and higher quality as procurement targets among all suppliers, which is beneficial to reducing the company's procurement costs and improving the company's procurement quality.

[0092] In the supply planning module, obtain the logistics values ​​of all suppliers separately, specifically:

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

[0094] Step 2: Subtract the total number of historical supply times of the supplier from the total number of historical supply logistics breach and timeouts of the supplier to obtain the total number of historical supply compliance times of the supplier, and take the total number of historical compliance times of the supplier from the total number of historical supply times of the supplier to obtain the credit value of the supplier;

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

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

[0097]

[0098] Among them, Lw represents the logistics value of the supplier, Sd represents the logistics speed of the supplier, Xy represents the credit value of the supplier, Lu represents the logistics distance of the supplier, δ1, δ2 and δ3 are all weights, 1>δ1>0, 1>δ2>0, 1>δ3>0.

[0099] In this embodiment, the logistics value is obtained by combining the supplier's logistics speed, logistics distance and credit value, thereby facilitating the selection of suppliers with better credit and faster logistics efficiency among all suppliers, which in turn helps reduce the risk of insufficient product affecting production of the enterprise.

[0100] In the supply planning module, supply planning is made based on the total product demand, the maximum number of days the product can be supported, the supply coefficient, the product value and the logistics value. Specifically:

[0101] 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 demand for the product, and divide the total demand for the product 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 volume of products from the first target supplier to maintain the first supply range;

[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 volume of products from the second target supplier to maintain the second supply range;

[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 volume of products from the third target supplier to maintain the third supply range.

[0105] In this embodiment, the product is divided into three supply intervals according to its maximum support days, and is divided into three supply quantities according to the total demand for the product, so as to facilitate targeted procurement from different suppliers according to the degree of tension in product demand, which is beneficial to reducing the risk of production affected by insufficient products of the enterprise, while also helping to reduce procurement costs and improve the quality of purchased products.

[0106] Risk assessment module, specifically:

[0107] Step 1: Obtain the remaining product quantity of the first supplier, obtain the first supply quantity, compare the remaining product quantity of the first supplier with the first supply quantity, and if the remaining product quantity of the first supplier is less than the first supply quantity, mark the first supplier as a risky supplier;

[0108] Step 2: Obtain the logistics speed and logistics distance of the first supplier, obtain the logistics time of the first supplier by dividing the logistics distance of the first supplier by the logistics speed of the first supplier, and compare the logistics time of the first supplier with the first supply interval. If the logistics time of the first supplier is greater than the first supply interval, mark the first supplier as a risky supplier.

[0109] In this embodiment, whether the first supplier is a dedicated supplier is determined based on the remaining product quantity and logistics time of the first supplier, so as to facilitate the subsequent selection of remedial suppliers for the dedicated supplier, which is further beneficial to avoid the risk of insufficient enterprise products affecting production.

[0110] The risk remediation module specifically includes: obtaining the reason why the first supplier is marked as a risk supplier;

[0111] If the first supplier is marked as a risk supplier because the remaining product quantity of the first supplier is less than the first supply quantity, the first supply quantity is subtracted from the remaining product quantity of the first supplier to obtain the supply difference, and the supplier with the second largest logistics value is selected as the remedial supplier, and products of the supply difference are purchased from the remedial supplier to jointly maintain the first supply range;

[0112] If the first supplier is marked as a risky supplier because its logistics time is greater than the first supply interval, an alarm will be activated to remind management personnel that all current suppliers are unable to supply products in a timely manner.

[0113] In this embodiment, remedial suppliers are selected based on the actual situation of all suppliers, so that remedial suppliers and risk suppliers are combined to jointly supply the products needed by the enterprise, which is further beneficial to avoid the impact of untimely product supply on the normal production operation of the enterprise, and at the same time, reasonable purchase of products at a relatively low cost.

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

[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 distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A comprehensive supply chain logistics management system, characterized in that: Includes the following modules: Demand statistics module, obtains the total remaining amount of products, sets the product supply cycle time, obtains the historical daily consumption of the 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 amount of products and the product supply cycle time, and obtains the maximum supporting days of the product through the total remaining amount of products and the predicted consumption value; The supply planning module obtains the product values ​​and logistics values ​​of all suppliers respectively, obtains the supply coefficients through the product values ​​and logistics values ​​of all suppliers respectively, and makes supply planning based on the total product demand, the maximum number of days the product can be supported, the supply coefficients, the product values ​​and the logistics values; The risk assessment module assesses the risk of suppliers in the supply plan based on the maximum support days of the product and marks risky suppliers; The risk remediation module obtains the supply quantity of risk suppliers and selects remediation suppliers from all suppliers based on the supply quantity of risk suppliers.

2. The integrated supply chain logistics management system according to claim 1, characterized in that: In the demand statistics module, the predicted consumption value is obtained according to the product consumption database, specifically: Step 1: Get the daily product consumption quantity within seven days ending today, and arrange the consumption quantities of the seven products in chronological order of date; Step 2: Subtract the product consumption quantity between every two adjacent dates to obtain the product consumption difference, and sum up 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 mean product consumption value, and sum and average the mean product consumption value and today's product consumption quantity to obtain the consumption reference value; Step 4: Sum the consumption reference value and the total product consumption to get the predicted consumption value.

3. The integrated supply chain logistics management system according to claim 1, characterized in that: The calculation method of total product demand in the demand statistics module is as follows: Cz=Zs×Yx-Sy Among them, Cz represents the total product demand, Zs represents the product supply cycle time, Yx represents the predicted consumption value, and Sy represents the total remaining product.

4. The integrated supply chain logistics management system according to claim 1, characterized in that: In the demand statistics module, the maximum number of days a product can be supported is obtained by comparing the remaining total amount of the product with the predicted consumption value. Specifically: Step 1: Get the remaining total amount of the product, get the predicted consumption value, and calculate the support days by dividing the remaining total amount of the product by the predicted consumption value; 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 get 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.

5. The 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 separately, specifically: Step 1: Get the remaining product quantity of the supplier, get the unit price of the supplier's products, get the supplier's historical supply quantity, and get the number of non-conforming products in the supplier's historical supply quantity; Step 2: Subtract the supplier's historical supply quantity from the number of non-conforming products in the supplier's historical supply quantity to obtain the supplier's historical qualified product quantity, and divide the supplier's historical qualified product quantity by the supplier's historical supply quantity to obtain the supplier's supply quality; Step 3: Obtain the supplier's product value through the supplier's remaining product quantity, the supplier's product unit price and the supplier's supply quality; The supplier's product value is calculated as follows: Among them, Cn represents the remaining quantity of the supplier's products, Zn represents the supply quality of the supplier, Di represents the unit price of the supplier's products, θ1, θ2 and θ3 are all weights, 1>θ1>0, 1>θ2>0, 1>θ3>0.

6. The integrated supply chain logistics management system according to claim 5, characterized in that: In the supply planning module, obtain the logistics values ​​of all suppliers separately, specifically: Step 1: Obtain the supplier's logistics speed, obtain the supplier's logistics distance, obtain the supplier's total number of historical supplies, and obtain the supplier's total number of historical supply logistics default timeouts; Step 2: Subtract the total number of historical supply times of the supplier from the total number of historical supply logistics breach and timeouts of the supplier to obtain the total number of historical supply compliance times of the supplier, and take the total number of historical compliance times of the supplier from the total number of historical supply times of the supplier to obtain the credit value of the supplier; Step 3: Obtain the supplier's logistics value through the supplier's logistics speed, the supplier's logistics distance and the supplier's credit value; The calculation method of the supplier's logistics value is as follows: Among them, Lw represents the logistics value of the supplier, Sd represents the logistics speed of the supplier, Xy represents the credit value of the supplier, Lu represents the logistics distance of the supplier, δ1, δ2 and δ3 are all weights, 1>δ1>0, 1>δ2>0, 1>δ3>0.

7. The 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 as follows: Among them, Gs represents the supply coefficient, Cn represents the supplier's product value, and Lw represents the supplier's logistics value. and are weights, 8. The integrated supply chain logistics management system according to claim 1, characterized in that: In the supply planning module, supply planning is made based on the total product demand, the maximum number of days the product can be supported, the supply coefficient, the product value and the logistics value. 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 demand for the product, and divide the total demand for the product 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 volume of products from the first target supplier to maintain the first supply range; 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 volume of products from the second target supplier to maintain the second supply range; 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 volume of products from the third target supplier to maintain the third supply range.

9. The integrated supply chain logistics management system according to claim 8, characterized in that: Risk assessment module, specifically: Step 1: Obtain the remaining product quantity of the first supplier, obtain the first supply quantity, compare the remaining product quantity of the first supplier with the first supply quantity, and if the remaining product quantity of the first supplier is less than the first supply quantity, mark the first supplier as a risky supplier; Step 2: Obtain the logistics speed and logistics distance of the first supplier, obtain the logistics time of the first supplier by dividing the logistics distance of the first supplier by the logistics speed of the first supplier, and compare the logistics time of the first supplier with the first supply interval. If the logistics time of the first supplier is greater than the first supply interval, mark the first supplier as a risky supplier.

10. The integrated supply chain logistics management system according to claim 9, characterized in that: The risk remediation module specifically includes: obtaining the reason why the first supplier is marked as a risk supplier; If the first supplier is marked as a risk supplier because the remaining product quantity of the first supplier is less than the first supply quantity, the first supply quantity is subtracted from the remaining product quantity of the first supplier to obtain the supply difference, and the supplier with the second largest logistics value is selected as the remedial supplier, and products of the supply difference are purchased from the remedial supplier to jointly maintain the first supply range; If the first supplier is marked as a risky supplier because its logistics time is greater than the first supply interval, an alarm will be activated to remind management personnel that all current suppliers are unable to supply products in a timely manner.

Images