A logistics supply chain management method and management system

Abstract

The present invention discloses a logistics supply chain management method and management system, which relate to the technical field of supply chain management. The present invention comprises: step one, obtaining logistics supply transit parameters, step two, evaluating logistics transit warehouses, step three, evaluating processing methods, and step four, displaying and processing logistics transit warehouses. The present invention ensures the overall supply and demand balance of the logistics supply chain, improves the operational efficiency of the logistics supply chain, and judges whether the logistics supply chain needs to be compressed, expanded, and cold-treated according to the supply and demand balance index of the logistics supply chain and the operational performance level of each logistics transit warehouse. The supply chain processing process is simplified, the subsequent processing accuracy of the logistics supply chain transit warehouse is improved, the logistics cost is reduced, the loss and expiration of goods are reduced, and unnecessary waste of funds is avoided. At the same time, inventory allocation and goods turnover are guaranteed, and the value of logistics supply chain management is ensured.

Description

Technical Field

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

[0002] Under the tide of globalization, the logistics supply chain has become the lifeline of business operations. It not only affects the production and sales of products, but also serves as a vital link between the market and consumers. As the hub of cargo flow, the effectiveness of transit warehouse management directly impacts the efficiency and cost control of the entire supply chain. Good management ensures the rapid and safe sorting, storage, and transfer of goods, shortening the time goods spend in the warehouse and accelerating the flow of goods. This not only reduces inventory costs but also enables rapid response to changes in market demand, adjusting the flow of goods, and improving market competitiveness. If transit warehouse management is inappropriate, delays, damage, misdelivery, or omissions may occur during transportation, affecting the smooth flow of the supply chain. Therefore, the management of transit warehouses in the logistics supply chain is extremely necessary.

[0003] The prior art, such as a logistics supply chain management method disclosed in the invention application patent with announcement number: CN116681373B, belongs to the field of logistics management technology, and the method includes the following steps: S1: Obtain the shipping address and receiving address of each logistics order in the electronic map, and determine the distribution preference coefficient of each logistics order. S2: According to the distribution preference coefficient of each logistics order, classify each logistics order and generate several logistics supply chain distribution sets. S3: According to the logistics supply chain distribution set, distribute the logistics order and inspect each logistics order. The present invention determines the logistics supply chain set that can be distributed together through the shipping and receiving addresses of the logistics order, completes the distribution of each logistics order in the logistics supply chain set, ensures the efficient delivery of the logistics order and avoids waste of resources, and also verifies the logistics coding image to ensure the accuracy of the delivery of the logistics order.

[0004] The prior art, such as a logistics supply chain management method disclosed in the invention application patent with announcement number: CN117252322A, belongs to the field of logistics management technology and includes the following steps: S1. According to the delivery starting point and delivery end point of the latest logistics delivery order, the historical logistics delivery order is matched with the latest logistics delivery order to generate a set of similar historical logistics delivery orders. S2. A path consumption index is generated for each historical logistics delivery order. S3. The optimal delivery path of the latest logistics delivery order is determined from all drivable paths. The present invention can provide historical logistics delivery orders with reference value for matching the latest logistics delivery order. The congested road conditions and delivery costs generated by these historical logistics delivery orders during the delivery process can be used as important reference factors for path planning for the latest logistics delivery order, not just the recommended path of the navigation software as the driving path.

[0005] Based on the above technical solutions, it can be found that there are few analyses on the supply and demand balance of the logistics supply chain in the existing technology. The relationship between the supply and demand balance of the logistics supply chain is related to the actual operation of the logistics supply chain. If the supply and demand of the logistics supply chain is unbalanced, such as some areas are more popular or some areas are less popular, it is necessary to adjust the distribution of the transit warehouses in the logistics supply chain. At the same time, there is rarely any processing of the transit warehouses in combination with the operating performance of the transit warehouses in the logistics supply chain. On the one hand, it is difficult to ensure the overall supply and demand balance of the logistics supply chain, affecting the operating efficiency of the logistics supply chain. On the other hand, it reduces the accuracy of subsequent processing of the transit warehouses in the logistics supply chain, increases logistics costs, increases the loss and expiration of goods, and increases unnecessary waste of funds. At the same time, it affects inventory allocation and goods turnover, and reduces the value of logistics supply chain management. Summary of the Invention

[0006] The purpose of the present invention is to provide a logistics supply chain management method and management system to solve the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a logistics supply chain management method, including: Step 1, obtaining logistics supply transit parameters: obtaining basic information and historical operation information of each logistics transit warehouse from the logistics operation background, wherein the basic information includes geographical location, construction area, number of staff, and storage area distribution map; the historical operation information includes the quantity of goods transported each time in each historical time period, the type of transport vehicle, the demand quantity, and the destination location.

[0008] Step 2: Logistics transit warehouse evaluation: Obtain the logistics supply chain operation hotspot map from the logistics operation background, and then combine the basic information and historical operation information of each logistics transit warehouse to evaluate the supply and demand balance index of the logistics supply chain, and evaluate the load characteristic index and operation performance level of each logistics transit warehouse.

[0009] Step 3. Treatment method evaluation: Based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse, determine whether the logistics supply chain needs to be compressed, expanded, or cooled. If compression is required, select each compression logistics transit warehouse; if expansion is required, select each suitable expansion node and its corresponding suitable construction area.

[0010] Step 4: Display and process the logistics transit warehouse: Filter the abnormal logistics transit warehouses, display the numbers of the abnormal logistics transit warehouses, and display the processing methods of the logistics supply chain and their corresponding processing parameters.

[0011] The second aspect of the present invention provides a management system for executing the logistics supply chain management method described in the present invention, including: a logistics supply transit parameter acquisition module, which is used to obtain the basic information and historical operation information of each logistics transit warehouse from the logistics operation background, wherein the basic information includes the geographical location, construction area, number of staff, and storage area distribution map; the historical operation information includes the quantity of goods transported each time in each historical time period, the type of transport vehicle, the demand quantity, and the destination location.

[0012] The logistics transit warehouse evaluation module is used to obtain the operation heat map of the logistics supply chain from the logistics operation background, and then combine the basic information and historical operation information of each logistics transit warehouse to evaluate the supply and demand balance index of the logistics supply chain, and evaluate the load characteristic index and operation performance level of each logistics transit warehouse.

[0013] The processing method evaluation module is used to determine whether the logistics supply chain needs to be compressed, expanded, or cold-treated based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse. If compression is required, the compression logistics transit warehouses are selected; if expansion is required, the suitable expansion nodes and their corresponding suitable construction areas are selected.

[0014] The logistics transit warehouse display processing module is used to screen abnormal logistics transit warehouses, display the numbers of abnormal logistics transit warehouses, and display the processing methods of the logistics supply chain and their corresponding processing parameters.

[0015] The beneficial effects of the present invention are as follows: the present invention first obtains the basic information and historical operation information of each logistics transit warehouse, and then analyzes the load characteristic index and operation performance level of each logistics transit warehouse, and then analyzes the operation heat map of the logistics supply chain, evaluates the thermal coefficient of each area, and evaluates the supply and demand balance index of the logistics supply chain, laying the foundation for subsequent processing of the logistics supply chain, making up for the defects of the existing technology that have been ignored at this level, ensuring the overall supply and demand balance of the logistics supply chain, and improving the operation efficiency of the logistics supply chain.

[0016] The present invention determines whether the logistics supply chain needs to be compressed, expanded, or cold-treated based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse, thereby ensuring that the supply chain is adjusted when the performance of the logistics transit warehouse is qualified, avoiding the problem of adjusting the supply chain when the performance of the logistics transit warehouse is unqualified. The transit warehouse can be optimized when the performance of the transit warehouse is unqualified, thereby simplifying the supply chain processing process, improving the subsequent processing accuracy of the logistics supply chain transit warehouse, reducing logistics costs, reducing the loss and expiration of goods, avoiding unnecessary waste of funds, and at the same time, ensuring inventory allocation and goods turnover, and ensuring the value of logistics supply chain management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 Flow chart of the method of the present invention.

[0019] Figure 2 This is a system structure diagram of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides a logistics supply chain management method, including: step one, obtaining logistics supply transit parameters: obtaining basic information and historical operation information of each logistics transit warehouse from the logistics operation background, wherein the basic information includes geographical location, construction area, number of staff, and storage area distribution map, and the historical operation information includes the quantity of goods transported each time in each historical time period, the type of transport vehicle, the demand quantity, and the destination location.

[0022] Step 2: Logistics transit warehouse evaluation: Obtain the logistics supply chain operation hotspot map from the logistics operation background, and then combine the basic information and historical operation information of each logistics transit warehouse to evaluate the supply and demand balance index of the logistics supply chain, and evaluate the load characteristic index and operation performance level of each logistics transit warehouse.

[0023] The present invention first obtains the basic information and historical operation information of each logistics transit warehouse, and then analyzes the load characteristic index and operation performance level of each logistics transit warehouse, and then analyzes the operation heat map of the logistics supply chain, evaluates the thermal coefficient of each area, and evaluates the supply and demand balance index of the logistics supply chain, laying the foundation for subsequent processing of the logistics supply chain, making up for the defects of the existing technology that have been ignored at this level, ensuring the overall supply and demand balance of the logistics supply chain, and improving the operation efficiency of the logistics supply chain.

[0024] In a specific embodiment of the present invention, the supply and demand balance index of the logistics supply chain is evaluated, and the specific analysis method is: based on the operation heat map of the logistics supply chain, the inventory value, turnover speed, transportation time and transportation cost of each area of the logistics supply chain are obtained.

[0025] Based on the inventory value, turnover speed, transportation time and transportation cost of each area in the logistics supply chain, the thermal coefficient α of each area in the logistics supply chain is obtained through data processing. i , where i is the number of each area, i = 1, 2, ..., n, and n is any integer greater than 2. The maximum and minimum thermal coefficients of the logistics supply chain are screened to evaluate the supply and demand balance index of the logistics supply chain. The supply and demand balance index of the logistics supply chain is 1, 0, -1, and α i-1 is the thermal coefficient of the i-1th area of the logistics supply chain, n is the number of areas in the logistics supply chain, A is the allowable regional thermal coefficient deviation range of the logistics supply chain stored in the database, α′ and α″ are the minimum and maximum values of the allowable regional thermal coefficient deviation range of the logistics supply chain, which are used to judge whether the supply and demand balance of the logistics supply chain meets the requirements.

[0026] In a specific embodiment of the present invention, the thermal coefficient α of each area of the logistics supply chain is i The specific analysis method is: the inventory value, turnover speed, transportation time and transportation cost of each area of the logistics supply chain are averaged respectively to obtain the average inventory value, average turnover speed, average transportation time and average transportation cost of the logistics supply chain, and construct various thermal conditions.

[0027] The thermal conditions include:

[0028] Thermal condition 1: inventory value is greater than or equal to the average inventory value, Thermal condition 2: turnover speed is greater than or equal to the average turnover speed, Thermal condition 3: transportation time is greater than or equal to the average transportation time, Thermal condition 4: transportation cost is greater than or equal to the average transportation cost.

[0029] The inventory value, turnover speed, transportation time and transportation cost of each area of the logistics supply chain are compared with the average inventory value, average turnover speed, average transportation time and average transportation cost respectively, and the areas of the logistics supply chain that meet the thermal conditions are screened. Then, the number of areas that meet the thermal conditions and the total number of thermal conditions in each area of the logistics supply chain are counted. The number of areas that meet the thermal conditions in each area of the logistics supply chain is divided by the total number of thermal conditions to obtain the thermal coefficient α of each area of the logistics supply chain. i .

[0030] The above-mentioned screening of each area of the logistics supply chain that meets the thermal conditions, the specific screening method is: if the inventory value of a certain area of the logistics supply chain is greater than or equal to the average inventory value, then the thermal condition 1 is recorded as meeting the thermal condition; if the turnover speed of a certain area of the logistics supply chain is greater than or equal to the average turnover speed, then the thermal condition 2 is recorded as meeting the thermal condition, and so on, to screen out each area of the logistics supply chain that meets the thermal conditions.

[0031] In the specific embodiment of the present invention, the load characteristic index of each logistics transfer warehouse is evaluated, and the specific analysis method is as follows: the construction area S is extracted from the basic information of each logistics transfer warehouse. m The number of goods transported in each historical time period is extracted from the historical operation information, and the number of goods transported in each historical time period is averaged to obtain the average number of goods transported in each historical time period M mp , where m is the number of each logistics transit warehouse, m = 1, 2, ..., l, l is any integer greater than 2, and p is the number of each historical time period, p = 1, 2, ..., q, q is any integer greater than 2.

[0032] According to the quantity of goods transported by each logistics transit warehouse in each historical time period, the straight line of the quantity of goods transported by each logistics transit warehouse in each historical time period is fitted, and the slope κ of the straight line of the quantity of goods transported by each logistics transit warehouse in each historical time period is obtained. mp .

[0033] Filter the maximum number of goods transported by each logistics transit warehouse in each historical time period and minimum quantity of goods to be transported The load characteristic index of each logistics transfer warehouse is obtained through numerical processing where M′ m , κ′ are the number of suitable transported goods corresponding to the unit area of the logistics transit warehouse stored in the database, and the reference slope of the transported goods quantity line, respectively. q is the number of historical time periods.

[0034] It should be understood that the greater the slope of the straight line of the quantity of goods transported, the faster the upward trend of the quantity of goods transported. The reference slope of the straight line of the quantity of goods transported is set according to the specific situation. For example, in order to ensure the stability of the quantity of goods transported, the reference slope of the straight line of the quantity of goods transported can be set to 0.

[0035] In the specific embodiment of the present invention, the operational performance level of each logistics transfer warehouse is evaluated. The specific analysis method is as follows: the geographical location, construction area, and number of staff are extracted from the basic information of each logistics transfer warehouse, and the number of goods transported in each historical time period is extracted from the historical operation information. mpj , transport vehicle type, required quantity, destination location, obtain the distance JL of each transport of each logistics transfer warehouse in each historical time period mpj , where j is the number of each transport, j = 1, 2, ..., k, k is any integer greater than 2, and then the location suitability evaluation index of each logistics transfer warehouse is evaluated

[0036]

[0037] According to the single-carrying quantity of each transport vehicle type stored in the database, the single-carrying quantity of each transport vehicle type in each historical time period is screened, and it is multiplied by the demand quantity to obtain the reference carrying quantity N of each transport in each historical time period of each logistics transfer warehouse. mpj , and then evaluate the transport tool suitability index of each logistics transit warehouse

[0038] Based on the storage area distribution map of each logistics transfer warehouse, the internal layout suitability coefficient of each logistics transfer warehouse is evaluated.

[0039] Combined with the construction area and number of staff of each logistics transfer warehouse RI m , evaluate the personnel allocation efficiency coefficient of each logistics transit warehouse RI′ is the appropriate number of staff per unit area of the logistics transit warehouse stored in the database.

[0040] According to the location suitability evaluation index, transportation tool suitability index, internal layout suitability coefficient, and personnel allocation efficiency coefficient of each logistics transit warehouse, combined with the preset location suitability evaluation index threshold, transportation tool suitability index threshold, internal layout suitability coefficient threshold, and personnel allocation efficiency coefficient threshold, each operation performance condition is constructed, and each logistics transit warehouse that meets the operation performance conditions is screened, and the number of each logistics transit warehouse that meets the operation performance conditions is counted and used as the operation performance level of each logistics transit warehouse.

[0041] It should be noted that the various operating performance conditions include: Condition 1: the location suitability assessment index is greater than or equal to the location suitability assessment index threshold, Condition 2: the transport suitability index is greater than or equal to the transport suitability index threshold, Condition 3: the internal layout suitability coefficient is greater than or equal to the internal layout suitability coefficient threshold, Condition 4: the personnel allocation efficiency coefficient is greater than or equal to the personnel allocation efficiency coefficient threshold.

[0042] It should also be noted that, when screening each logistics transfer warehouse to meet the operating performance conditions, if the location suitability evaluation index of a logistics transfer warehouse is greater than or equal to the location suitability evaluation index threshold, then condition 1 is recorded as meeting the operating performance conditions. Similarly, each logistics transfer warehouse is screened to meet the operating performance conditions.

[0043] In the specific embodiment of the present invention, the internal layout suitability coefficient of each logistics transfer warehouse is evaluated, and the specific analysis method is as follows: based on the storage area distribution map of each logistics transfer warehouse, the area SI of the cold zone is obtained. m And transmission distance JI _0m , the area of the hot zone SI′ m And transmission distance JI _1m and the width TD of each channel mh , and obtain the number of goods LM in the cold zone of each logistics transit warehouse in each historical time period mp And the quantity of goods in the hot zone HM mp , and evaluate the internal layout suitability coefficient of each logistics transfer warehouse where λ m ,λ′ m are the hot and cold zone layout suitability index and channel width suitability index of the mth logistics transfer warehouse, respectively. S″ and HL′ are the suitable distribution area ratio and suitable quantity difference of transported goods in the cold zone and hot zone respectively stored in the database. JL _ ' 0m , JL _ ' 1m are the suitable transmission distances for the cold zone and the hot zone of the mth logistics transfer warehouse stored in the database, respectively. TD′ m is the suitable channel width of the mth logistics transfer warehouse stored in the database, h is the number of each channel, h = 1, 2, ..., g, g is any integer greater than 2.

[0044] It should be understood that the transmission distance of the cold zone area and the transmission distance of the hot zone area specifically refer to the distance between the center point of the cold zone area and the center point of the outlet area and the distance between the center point of the hot zone area and the center point of the outlet area. The suitable transmission distance of the cold zone area and the suitable transmission distance of the hot zone area are specifically set by relevant experts according to the cold zone area and the hot zone area of the logistics transit warehouse. If the hot zone area is larger, the suitable transmission distance of the hot zone area is adjusted accordingly. If the hot zone area is smaller, the suitable transmission distance of the hot zone area is adjusted accordingly to ensure the accuracy of the suitability index analysis of the cold and hot zone layout of the logistics transit warehouse.

[0045] The obtaining of the quantity of goods transported to the cold zone and the quantity of goods transported to the hot zone of each logistics transit warehouse in each historical time period is specifically obtained from the logistics operation background.

[0046] It should be explained that the appropriate width of the channel of each logistics transfer warehouse is determined by relevant experts based on the maximum width of commonly used tools in each logistics transfer warehouse, the body width of the staff and the compensation width.

[0047] It needs to be explained that the appropriate distribution area ratio of the cold zone and the hot zone is determined by relevant experts based on the functions of each logistics transit warehouse. Specifically, the functions of the logistics transit warehouse can be divided into distribution warehouse, delivery warehouse and storage warehouse, among which the distribution area ratio of the cold zone and the hot zone of the delivery warehouse is smaller than the distribution area ratio of the cold zone and the hot zone of the distribution warehouse, and the distribution area ratio of the cold zone and the hot zone of the distribution warehouse is smaller than the distribution area ratio of the cold zone and the hot zone of the storage warehouse.

[0048] In a specific embodiment, the difference in the quantity of goods suitable for transport can be set by relevant experts based on the area of the hot zone and the area of the cold zone. In another specific embodiment, the difference in the quantity of goods suitable for transport can also be obtained based on the difference in the quantity of goods transported in the hot zone and the quantity of goods transported in the cold zone of each logistics transit warehouse in each historical time period, to obtain the average difference in the quantity of goods transported between the hot zone and the cold zone of the logistics transit warehouse, and then use it as the difference in the quantity of goods suitable for transport.

[0049] Step 3. Treatment method evaluation: Based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse, determine whether the logistics supply chain needs to be compressed, expanded, or cooled. If compression is required, select each compression logistics transit warehouse; if expansion is required, select each suitable expansion node and its corresponding suitable construction area.

[0050] The present invention determines whether the logistics supply chain needs to be compressed, expanded, or cold-treated based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse, thereby ensuring that the supply chain is adjusted when the performance of the logistics transit warehouse is qualified, avoiding the problem of adjusting the supply chain when the performance of the logistics transit warehouse is unqualified. The transit warehouse can be optimized when the performance of the transit warehouse is unqualified, thereby simplifying the supply chain processing process, improving the subsequent processing accuracy of the logistics supply chain transit warehouse, reducing logistics costs, reducing the loss and expiration of goods, avoiding unnecessary waste of funds, and at the same time, ensuring inventory allocation and goods turnover, and ensuring the value of logistics supply chain management.

[0051] In a specific embodiment of the present invention, it is determined whether the logistics supply chain needs to be compressed, expanded, or cold-treated. The specific judgment method is as follows: when the supply and demand balance index of the logistics supply chain is 0, and the operating performance level of each logistics transit warehouse is the target operating performance level, it is determined that the logistics supply chain needs to be compressed.

[0052] When the supply and demand balance index of the logistics supply chain is -1, and the operating performance levels of all logistics transit warehouses are at the target operating performance level, it is determined that the logistics supply chain needs to be expanded.

[0053] When the supply and demand balance index of the logistics supply chain is 1, or the operating performance level of a logistics transit warehouse is not the target operating performance level, it is determined that the logistics supply chain needs to be cold-treated.

[0054] Specifically, the target operating performance level is level four.

[0055] In the specific embodiment of the present invention, the specific evaluation method for screening each compressed logistics transfer warehouse is: comparing the load characteristic index of each logistics transfer warehouse with the minimum value of the predefined load characteristic index suitable interval; if the load characteristic index of a logistics transfer warehouse is less than the minimum value of the load characteristic index suitable interval, then the logistics transfer warehouse is recorded as a compressed logistics transfer warehouse.

[0056] In a specific embodiment of the present invention, the specific evaluation method for screening each suitable expansion node and its corresponding suitable construction area is: comparing the load characteristic index of each logistics transit warehouse with the maximum value of a predefined load characteristic index suitable interval; if the load characteristic index of a logistics transit warehouse is greater than the maximum value of the load characteristic index suitable interval, then the logistics transit warehouse is recorded as a logistics transit warehouse suitable for expansion, and each suitable expansion logistics transit warehouse is obtained.

[0057] Based on the operation heat map of the logistics supply chain, with each suitable expansion logistics transit warehouse in the logistics supply chain as the origin, the map is extended to each transportation route with a predefined length, and then the nodes of each suitable expansion logistics transit warehouse on each transportation route are obtained. The environmental parameters of each node are obtained from the logistics operation background. The environmental parameters include average vehicle flow, average passenger flow, road width, and number of customer groups. After numerical processing, the recommended expansion coefficient of each node of each suitable expansion logistics transit warehouse in the logistics supply chain on each transportation route is obtained.

[0058] It should be noted that the number of customer groups is specifically the average number of orders in a set area.

[0059] The recommended expansion coefficients of each node on each transportation route for each suitable expansion logistics transfer warehouse of the logistics supply chain are specifically homogenized for each node on each transportation route for each suitable expansion logistics transfer warehouse, and then the recommended expansion factor δ corresponding to the unit number of each environmental parameter is set for the average vehicle flow, average passenger flow, road width, and number of customer groups. a ′, then the recommended expansion coefficient of each suitable expansion logistics transfer warehouse in the logistics supply chain at each node on each transportation route can be quantified as where δ frba is the ath environmental parameter of the bth node of the fth suitable expansion logistics transfer warehouse on the rth transportation route after homogenization, where f is the number of each suitable expansion logistics transfer warehouse, f = 1, 2, ..., t, t is any integer greater than 2, r is the number of each transportation route, r = 1, 2, ..., w, w is any integer greater than 2, b is the number of each node, b = 1, 2, ..., d, d is any integer greater than 2, and a is the number of each environmental data, a∈[1,4].

[0060] The recommended expansion factors corresponding to the unit quantity of each environmental parameter are set by logistics experts based on specific needs. If the demand for vehicle traffic convenience is high, the recommended expansion factors corresponding to the unit quantity of average vehicle flow can be increased. The signs of the recommended expansion factors corresponding to the unit quantity of average vehicle flow and the recommended expansion factors corresponding to the unit quantity of average passenger flow are negative, and the recommended expansion factors corresponding to the unit quantity of road width and the number of customer groups are positive.

[0061] You can also directly evaluate the model by recommending the expansion coefficient The recommended expansion coefficient of each suitable expansion logistics transfer warehouse in the output logistics supply chain at each node on each transportation route, where θ _0frb ,θ _1frb ,θ _2frb ,θ _3frbThey are respectively represented by the average vehicle flow, average passenger flow, road width, and number of customer groups after homogenization of the bth node of the fth suitable expansion logistics transit warehouse on the rth transportation route, θ _0 ,θ _1 ,θ _2 ,θ _3 They are respectively expressed as reference average traffic flow, reference average passenger flow, reference road width, and reference number of customer groups.

[0062] It should be explained that the reference average traffic flow, reference average passenger flow, reference road width, and reference number of customer groups are specifically obtained by processing the average traffic flow, average passenger flow, road width, and number of customer groups after homogenization of each node on each transportation route of each suitable expansion logistics transit warehouse.

[0063] The load characteristic index of each logistics transit warehouse is compared with the load characteristic index interval corresponding to each suitable construction area stored in the database, and the suitable construction area corresponding to each logistics transit warehouse is screened, thereby extracting the suitable construction area of each logistics transit warehouse suitable for expansion in the logistics supply chain.

[0064] The total number of transportations of each logistics transit warehouse suitable for expansion in each transportation route of the logistics supply chain is obtained, and compared with the predefined reference total number of transportations. If the total number of transportations of a transportation route is greater than or equal to the reference total number of transportations, the transportation route is recorded as a hot transportation route, and the hot transportation routes of each logistics transit warehouse suitable for expansion in the logistics supply chain are obtained. The recommended expansion coefficient of each node of each hot transportation route of each logistics transit warehouse suitable for expansion in the logistics supply chain is obtained, and the node corresponding to the maximum recommended expansion coefficient is selected as the designated node. The recommended expansion coefficient of the designated node of each hot transportation route of each logistics transit warehouse suitable for expansion in the logistics supply chain is obtained, and compared with each other, the hot transportation route corresponding to the maximum recommended expansion coefficient is selected as the designated transportation route, and then the designated node of the designated transportation route of each logistics transit warehouse suitable for expansion in the logistics supply chain is obtained, and recorded as the recommended node of each logistics transit warehouse suitable for expansion in the logistics supply chain.

[0065] The recommended nodes and suitable construction areas of the logistics transfer warehouses suitable for expansion in the logistics supply chain are summarized to obtain the suitable expansion nodes and their corresponding suitable construction areas.

[0066] Step 4: Display and process the logistics transit warehouse: Filter the abnormal logistics transit warehouses, display the numbers of the abnormal logistics transit warehouses, and display the processing methods of the logistics supply chain and their corresponding processing parameters.

[0067] It should be noted that the specific screening method for screening the abnormal logistics transfer warehouses is that if the operating performance level of a logistics transfer warehouse is inconsistent with the target operating performance level, the logistics transfer warehouse will be recorded as an abnormal logistics transfer warehouse, and the abnormal logistics transfer warehouses will be screened out.

[0068] Reference Figure 2 As shown, the second aspect of the present invention provides a management system for executing the logistics supply chain management method described in the present invention, including: a logistics supply transit parameter acquisition module, a logistics transit warehouse evaluation module, a processing method evaluation module and a logistics transit warehouse display processing module.

[0069] The logistics supply transit parameter acquisition module is used to obtain the basic information and historical operation information of each logistics transit warehouse from the logistics operation background, where the basic information includes the geographical location, construction area, number of staff, and storage area distribution map; the historical operation information includes the quantity of goods transported in each historical time period, the type of transport vehicle, the demand quantity, and the destination location.

[0070] The logistics transit warehouse evaluation module is used to obtain the operation heat map of the logistics supply chain from the logistics operation background, and then combine the basic information and historical operation information of each logistics transit warehouse to evaluate the supply and demand balance index of the logistics supply chain, and evaluate the load characteristic index and operation performance level of each logistics transit warehouse.

[0071] The processing method evaluation module is used to determine whether the logistics supply chain needs to be compressed, expanded, or cold-treated based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse. If compression is required, the compression logistics transit warehouses are screened; if expansion is required, the suitable expansion nodes and their corresponding suitable construction areas are screened.

[0072] The logistics transit warehouse display processing module is used to screen each abnormal logistics transit warehouse, display the number of each abnormal logistics transit warehouse, and display the processing method of the logistics supply chain and its corresponding processing parameters.

[0073] It should be noted that the present invention also includes a database for storing the allowable regional thermal coefficient deviation range of the logistics supply chain, the number of goods suitable for transportation corresponding to the unit area of the logistics transit warehouse, the reference slope of the straight line of the number of goods transported, the number of goods carried in a single time by each type of transport vehicle, the number of staff suitable for the unit area of the logistics transit warehouse, the ratio of the suitable distribution area between the cold zone and the hot zone, the difference in the number of suitable goods for transportation, the suitable transmission distance of the cold zone area, the suitable transmission distance of the hot zone area, the suitable width of the channel of each logistics transit warehouse, and the load characteristic index range corresponding to each suitable construction area.

[0074] It should also be noted that the logistics supply transit parameter acquisition module is connected to the logistics transit warehouse evaluation module, the logistics transit warehouse evaluation module is connected to the processing method evaluation module, the processing method evaluation module is connected to the logistics transit warehouse display processing module, and the database is connected to the logistics transit warehouse evaluation module and the processing method evaluation module respectively.

[0075] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A logistics supply chain management method, characterized in that: include: Step 1: Obtaining logistics supply transit parameters: Obtain basic information and historical operation information of each logistics transit warehouse from the logistics operation background. Basic information includes geographic location, construction area, number of staff, and storage area distribution map. Historical operation information includes the quantity of goods transported in each historical time period, transportation vehicle type, demand quantity, and destination location. Step 2: Logistics Transit Warehouse Assessment: Obtain the logistics supply chain operation heat map from the logistics operation background. Then, combine the basic information and historical operation information of each logistics transit warehouse to evaluate the supply and demand balance index of the logistics supply chain, and evaluate the load characteristic index and operation performance level of each logistics transit warehouse. The specific analysis method for evaluating the supply and demand balance index of the logistics supply chain is as follows: Based on the operation heat map of the logistics supply chain, the inventory value, turnover speed, transportation time and transportation cost of each area of the logistics supply chain are obtained; Based on the inventory value, turnover speed, transportation time and transportation cost of each area in the logistics supply chain, the thermal coefficient of each area in the logistics supply chain is obtained through data processing. ,in is the number of each area, , is any integer greater than 2, screening the maximum thermal coefficient and minimum thermal coefficient of the logistics supply chain, and then evaluating the supply and demand balance index of the logistics supply chain , The supply and demand balance index of the logistics supply chain is 1, 0, and -1. is the thermal coefficient of the i-1th region of the logistics supply chain, n is the number of regions in the logistics supply chain, is the allowable regional thermal coefficient deviation range of the logistics supply chain stored in the database, 、 It is the minimum and maximum values of the allowable regional thermal coefficient deviation range of the logistics supply chain, which is used to judge whether the supply and demand balance of the logistics supply chain meets the requirements; Thermal coefficients of each area of the logistics supply chain , the specific analysis method is: The inventory value, turnover speed, transportation time and transportation cost of each area in the logistics supply chain are processed by averaging to obtain the average inventory value, average turnover speed, average transportation time and average transportation cost of the logistics supply chain, and each thermal condition is constructed; Screen the areas of the logistics supply chain that meet the thermal conditions, and then count the number of areas that meet the thermal conditions and the total number of thermal conditions in the logistics supply chain. Divide the number of areas that meet the thermal conditions in the logistics supply chain by the total number of thermal conditions to obtain the thermal coefficient of each area in the logistics supply chain. ; The specific analysis method for evaluating the load characteristic index of each logistics transfer warehouse is as follows: Extract the construction area from the basic information of each logistics transit warehouse The number of goods transported in each historical time period is extracted from the historical operation information, and the number of goods transported in each historical time period is averaged to obtain the average number of goods transported in each historical time period. ,in It is the number of each logistics transit warehouse. , is any integer greater than 2, is the number of each historical time period, , is any integer greater than 2; According to the quantity of goods transported by each logistics transit warehouse in each historical time period, the straight line of the quantity of goods transported by each logistics transit warehouse in each historical time period is fitted, and the slope of the straight line of the quantity of goods transported by each logistics transit warehouse in each historical time period is obtained. ; Filter the maximum number of goods transported by each logistics transit warehouse in each historical time period and minimum quantity of goods to be transported , the load characteristic index of each logistics transfer warehouse is obtained through numerical processing ,in 、 are the number of suitable goods to be transported per unit area of the logistics transit warehouse stored in the database, and the reference slope of the straight line for the number of goods to be transported. q is the number of historical time periods. The specific analysis method for evaluating the operating performance level of each logistics transfer warehouse is as follows: Extract the geographical location, construction area, and number of staff from the basic information of each logistics transit warehouse, and extract the number of goods transported in each historical time period from the historical operation information. , transport vehicle type, required quantity, destination location, and obtain the distance of each transport of each logistics transit warehouse in each historical time period ,in is the number of each delivery, , is any integer greater than 2, and then evaluates the location suitability evaluation index of each logistics transfer warehouse ; According to the single-carrying quantity of each transport vehicle type stored in the database, the single-carrying quantity of each transport vehicle type in each historical time period is screened, and it is multiplied by the demand quantity to obtain the reference carrying quantity of each transport in each historical time period of each logistics transfer warehouse , and then evaluate the transport tool suitability index of each logistics transit warehouse Based on the storage area distribution map of each logistics transfer warehouse, evaluate the internal layout suitability coefficient of each logistics transfer warehouse; The specific analysis method for evaluating the internal layout suitability coefficient of each logistics transfer warehouse is as follows: based on the storage area distribution map of each logistics transfer warehouse, the area of the cold zone is obtained. and transmission distance , the area of the hot zone and transmission distance and the width of each channel , and obtain the number of goods transported to the cold zone of each logistics transit warehouse in each historical time period and the quantity of goods in the hot transport zone , and evaluate the internal layout suitability coefficient of each logistics transfer warehouse ,in 、 are the hot and cold zone layout suitability index and channel width suitability index of the mth logistics transfer warehouse, , 、 They are the suitable distribution area ratio of the cold zone and the hot zone, and the difference in the quantity of suitable transported goods stored in the database. , 、 are the suitable transmission distances for the cold zone and the hot zone of the mth logistics transfer warehouse stored in the database, respectively. , is the suitable channel width of the mth logistics transfer warehouse stored in the database, is the number of each channel, , is any integer greater than 2; Combined with the construction area and number of staff of each logistics transfer warehouse , evaluate the personnel allocation efficiency coefficient of each logistics transit warehouse ,in The appropriate number of staff per unit area of the logistics transfer warehouse stored in the database; Construct various operating performance conditions, and screen the logistics transfer warehouses that meet the operating performance conditions. Count the number of logistics transfer warehouses that meet the operating performance conditions and use this as the operating performance level of each logistics transfer warehouse. Step 3: Treatment method evaluation: Based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transfer warehouse, determine whether the logistics supply chain needs to be compressed, expanded, or cooled. If compression is required, select each compression logistics transfer warehouse; if expansion is required, select each suitable expansion node and its corresponding suitable construction area; The specific evaluation method for screening suitable expansion nodes and their corresponding suitable construction areas is as follows: Screen suitable logistics transfer warehouses for expansion; Based on the operation heat map of the logistics supply chain, with each suitable logistics transfer warehouse for expansion in the logistics supply chain as the origin, the map is extended to each transportation route with a predefined length, thereby obtaining each node on each transportation route suitable for expansion of the logistics transfer warehouse. The environmental parameters of each node are obtained from the logistics operation background. The environmental parameters include average vehicle flow, average passenger flow, road width, and number of customer groups. After numerical processing, the recommended expansion coefficient of each node on each transportation route suitable for expansion of the logistics transfer warehouse in the logistics supply chain is obtained. Compare the load characteristic index of each logistics transfer warehouse with the load characteristic index interval corresponding to each suitable construction area stored in the database, screen the suitable construction areas corresponding to each logistics transfer warehouse, and then extract the suitable construction areas of each logistics transfer warehouse suitable for expansion in the logistics supply chain; Screening the recommended nodes of the logistics supply chain suitable for expanding logistics transfer warehouses, and summarizing the recommended nodes of the logistics supply chain suitable for expanding logistics transfer warehouses and the suitable construction areas, to obtain the suitable expansion nodes and their corresponding suitable construction areas; Step 4: Display and process the logistics transit warehouse: Filter the abnormal logistics transit warehouses, display the numbers of the abnormal logistics transit warehouses, and display the processing methods of the logistics supply chain and their corresponding processing parameters.

2. A logistics supply chain management method according to claim 1, characterized in that: The specific method for determining whether compression, expansion, or cooling of the logistics supply chain is required is as follows: When the supply and demand balance index of the logistics supply chain is 0, and the operating performance level of each logistics transit warehouse is the target operating performance level, it is determined that the logistics supply chain needs to be compressed; When the supply and demand balance index of the logistics supply chain is -1, and the operating performance level of each logistics transit warehouse is at the target operating performance level, it is determined that the logistics supply chain needs to be expanded; When the supply and demand balance index of the logistics supply chain is 1, or the operating performance level of a logistics transit warehouse is not the target operating performance level, it is determined that the logistics supply chain needs to be cold-treated.

3. A logistics supply chain management method according to claim 1, characterized in that: The specific evaluation method for screening each compressed logistics transfer warehouse is as follows: The load characteristic index of each logistics transfer warehouse is compared with the minimum value of the predefined load characteristic index suitable interval. If the load characteristic index of a logistics transfer warehouse is less than the minimum value of the load characteristic index suitable interval, the logistics transfer warehouse is recorded as a compressed logistics transfer warehouse.

4. A management system for executing the logistics supply chain management method according to any one of claims 1 to 3, characterized in that: include: The logistics supply transit parameter acquisition module is used to obtain the basic information and historical operation information of each logistics transit warehouse from the logistics operation background. The basic information includes geographical location, construction area, number of staff, and storage area distribution map. The historical operation information includes the number of goods transported in each historical time period, the type of transport vehicle, the demand quantity, and the destination location. The logistics transit warehouse evaluation module is used to obtain the logistics supply chain operation heat map from the logistics operation background. Then, combined with the basic information and historical operation information of each logistics transit warehouse, it evaluates the supply and demand balance index of the logistics supply chain and evaluates the load characteristic index and operation performance level of each logistics transit warehouse. The processing method evaluation module is used to determine whether the logistics supply chain needs to be compressed, expanded, or cooled based on the supply and demand balance index of the logistics supply chain and the operating performance level of each logistics transit warehouse. If compression is required, the compression logistics transit warehouses are selected; if expansion is required, the suitable expansion nodes and their corresponding suitable construction areas are selected. The logistics transit warehouse display processing module is used to screen abnormal logistics transit warehouses, display the numbers of abnormal logistics transit warehouses, and display the processing methods of the logistics supply chain and their corresponding processing parameters.

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