Logistics management and control method and system integrating intelligent order sending and bidding order grabbing

Abstract

The invention discloses a logistics management and control method and system integrating intelligent order sending and bidding order grabbing, and belongs to the technical field of intelligent logistics management and control. The current distribution capability state is accurately judged through real-time information acquisition and analysis of logistics channels and logistics orders, and the logistics distribution capability is accurately judged. And the corresponding order distribution mode meeting the actual needs is selected in time for order distribution, so that accurate real-time state response and order distribution scheme generation are realized. Order distribution under a normal condition can be dealt with by utilizing an intelligent order distribution mode, order income and channel cost are considered, and a more reasonable global order distribution scheme with higher income is generated; the order distribution under the condition of excessive orders can be dealt with by using the bidding order grabbing mode, and the dynamic multi-bidding adjustment is carried out, so that the income is improved, the order distribution reasonability is considered, and the logistics management and control imbalance caused by disordered competition is avoided.

Description

Technical Field

[0001] This invention belongs to the field of intelligent logistics management and control technology, specifically relating to a logistics management and control method and system that integrates intelligent order dispatching and competitive order bidding. Background Technology

[0002] With the deep integration of the internet and e-commerce, logistics services have become a key force supporting the O2O (online-to-offline) business model. Internet-based logistics models optimize delivery costs and improve efficiency by aggregating various logistics channels. However, how logistics management platforms can effectively and dynamically match fluctuating order demand with uncertain delivery capabilities across multiple channels has become an important research direction.

[0003] In current technological practices, order allocation primarily relies on intelligent dispatching to rationally plan channels and distribute orders. This intelligent dispatching model, driven by platform algorithms, uses optimized models to assign orders to suitable channels, aiming for optimal overall system efficiency. However, when faced with a "supply shortage" situation (too many orders, too little logistics capacity), the lack of a strong employment relationship between logistics channels and the platform makes it difficult for the platform to quickly mobilize sufficient delivery capacity through simple instruction-based dispatching. This leads to significant order delays and system malfunctions. To address this, a bidding-based order-grabbing model has emerged, granting logistics channels significant autonomy. The platform publishes orders and prices, allowing logistics channels to actively bid for them. This model, through market mechanisms, effectively incentivizes social transportation capacity to participate actively when returns are plentiful. However, due to varying bidding capabilities and willingness among different logistics channels, this allocation model becomes overly reliant on individual channel decisions, resulting in uneven capacity distribution and failing to guarantee overall fairness and optimal efficiency. Furthermore, disorderly competition between logistics channels can also lead to a decline in service quality.

[0004] As mentioned above, how to provide an integrated intelligent order dispatching and bidding system for logistics management that can select a suitable order allocation mode based on actual conditions and use the order allocation mode to form a highly efficient and global optimal order dispatching solution has become an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a logistics management method that integrates intelligent order dispatching and competitive order bidding, in order to solve the above-mentioned problems existing in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a logistics management method integrating intelligent order dispatching and competitive bidding, comprising: Obtain logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; Based on the logistics channel information and the logistics order information, the supply and demand relationship between logistics orders and logistics channels is determined, and the current order allocation mode is selected based on the determination result. The current order allocation mode is either intelligent order dispatch mode or bidding order mode. Based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form the optimal dispatch plan. According to the optimal dispatching scheme, each logistics order is dispatched to the corresponding optimal dispatching logistics channel.

[0007] In one possible design, logistics channel information and logistics order information are obtained, including: The logistics management platform receives order requests from various customers and organizes these requests to form logistics orders. Obtain the attribute information of each logistics order as logistics order information, wherein the logistics order information includes order revenue, order delivery capacity requirements, order delivery time, order delivery distance and order additional requirements; By integrating information-compliant, online channels with order-receiving capabilities into logistics channels through a logistics management platform; The attribute information of each logistics channel is obtained as logistics channel information, which includes the current vehicle location, current order receiving capacity, current cost pricing rules, and service level rating of the logistics channel.

[0008] In one possible design, based on the logistics channel information and the logistics order information, the supply and demand relationship between logistics orders and logistics channels is determined, and a current order allocation mode is selected based on the determination result, including: Based on the logistics channel information, the current order receiving capacity of each logistics channel is obtained, and the current order receiving capacity of each logistics channel is summarized to calculate the total order receiving capacity of all logistics channels. Based on the logistics order information, the order delivery capacity requirements of each logistics order are obtained, and the order delivery capacity requirements of each logistics order are summarized to calculate the total order delivery capacity requirements of all logistics orders. By comparing the total order receiving capacity of all logistics channels with the total order delivery capacity requirement of all logistics orders, it is determined whether the total order receiving capacity of all logistics channels meets the total order delivery capacity requirement of all logistics orders. If yes, then select the intelligent order dispatch mode as the current order allocation mode; otherwise, select the bidding order grabbing mode as the current order allocation mode.

[0009] In one possible design, when the current order allocation mode is intelligent dispatch mode, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan, including: Based on the logistics channel information and the logistics order information, an order dispatch diagram matching model is established; In the order dispatch graph matching model, a real-time optimization algorithm is used to allocate logistics orders to each logistics channel and select the dispatch scheme with the highest efficiency as the optimal dispatch scheme.

[0010] In one possible design, an order dispatch map matching model is established based on the logistics channel information and the logistics order information, including: Based on the logistics channel information, each logistics channel is set as a channel node, and based on the logistics order information, each logistics order is set as an order node. The channel nodes and order nodes are then integrated into a node set. For each of the order nodes, it is connected to each of the channel nodes to form multiple node edge connection relationships. The node edge connection relationships are integrated to form a node edge connection relationship set. Obtain preset order dispatch constraints, perform feasibility screening on the set of edge connections between nodes based on the order dispatch constraints, remove edge connections between nodes that do not meet the order dispatch constraints, take the edge connections between nodes that meet the order dispatch constraints as feasible edge connections for order dispatch, and integrate each feasible edge connection for order dispatch into a set of feasible edge connections for order dispatch. Based on the set of nodes and the set of feasible edge connections for order dispatch, an order dispatch graph matching model is constructed.

[0011] In one possible design, the order dispatch diagram matching model utilizes a real-time optimization algorithm to allocate logistics orders to various logistics channels and selects the most efficient dispatch scheme as the optimal dispatch scheme, including: Based on the logistics channel information and the logistics order information, in the order dispatch graph matching model, multiple objective function values ​​are calculated for each feasible edge connection of the order dispatch, and the objective function values ​​are used to form the target benefit vector of each feasible edge connection of the order dispatch. The objective function values ​​include the target value of order revenue, the target value of channel cost ratio, and the target value of channel service level. Obtain the preset expected objective function value, and calculate the missing value of each objective function value in the objective benefit vector of each feasible edge connection relationship of order dispatch using the expected objective function value, so as to obtain the missing value of each objective function value in the objective benefit vector of each feasible edge connection relationship of order dispatch; Obtain the preset optimization parameters and the original objective function weights of each objective function value. Calculate the optimization weights for the missing values ​​of each objective function value in the objective benefit vector of each feasible edge connection relationship for each order dispatch using the optimization parameters, thereby obtaining the optimized weights of each objective function value. Based on the original objective function weights and the optimized weights of each objective function value, calculate the objective function weights of each objective function value using the following formula (1): ,(i=(1,2,3))(1; in, The objective function weights for each objective function value. The original objective function weights for each objective function value. To optimize parameters, For the missing values ​​of each objective function, The guide sign for the objective function value. This represents the target value for order profitability. This indicates the target value for the proportion of channel costs. This indicates the target value for channel service level; Define a binary decision variable for each feasible edge connection of the order dispatching. The optimal dispatch efficiency is calculated using the following formula (2): (2); in, To achieve optimal order dispatch efficiency, Represents the maximum value function. Indicates about The summation function, Indicates about The summation function, This represents the feasible edge connection relationship for order dispatch. This represents an order node in a feasible edge connection relationship for order dispatch. This represents a channel node in the feasible edge connection relationship of an order dispatch. The objective function weight represents the objective function value of each objective function value in the feasible edge connection relationship of an order dispatch. This represents the missing values ​​of the objective function in the feasible edge connection relationship of an order dispatch; Based on the optimal order dispatch efficiency, the corresponding feasible edge connection relationship for order dispatch is selected as the optimal order dispatch scheme.

[0012] In one possible design, when the current order allocation mode is a bidding-based order-grabbing mode, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan, including: Based on the logistics channel information and the logistics order information, the current bid for each logistics order is calculated, and the current bid for each logistics order is published through the logistics management platform. The logistics management platform monitors the order acceptance status of each logistics order and updates and publishes the current bid multiple times based on the order acceptance status of each logistics order. Based on the order acceptance status of each logistics order, a unique logistics channel is determined for each logistics order as the optimal dispatch logistics channel, thus forming the optimal dispatch plan.

[0013] In one possible design, based on the logistics channel information and the logistics order information, the current bid for each logistics order is calculated, and the current bid for each logistics order is published through the logistics management platform, including: Historical logistics management data is obtained through a logistics management platform, and the average rate of return of historical logistics orders is calculated from the historical logistics management data. Based on the logistics channel information and the logistics order information, the difference in the total order receiving capacity of the logistics channel for the logistics order is calculated as the current total order receiving capacity difference; Obtain the preset competition coefficient factor, and calculate the current competition coefficient using the difference in the current total order receiving capacity and the competition coefficient factor; Based on the logistics order information, the order revenue of each logistics order is obtained, and the corresponding bidding revenue is calculated based on the current competition coefficient for each logistics order. The combined revenue from the bidding revenue of each logistics order and the order revenue of each logistics order is used to update the order revenue of each logistics order, resulting in the updated order revenue. The system obtains the logistics channel reward pricing rules from the logistics management platform, calculates the current bid for each logistics order based on the updated order revenue of each logistics order using the logistics channel reward pricing rules, and publishes the current bid for each logistics order through the logistics management platform.

[0014] In one possible design, a logistics management platform monitors the order acceptance status of each logistics order and updates and publishes the current bid multiple times based on the order acceptance status, including: Monitor the order acceptance status of each logistics order. When an accepted logistics order appears, recalculate the difference between the current logistics channel and the total order receiving capacity of the current logistics order as the current total order receiving capacity difference, until the current total order receiving capacity difference is negative. Based on the difference in the current total order receiving capacity, the current competition coefficient is updated to generate a current competition coefficient. The current competition coefficient is then used to update the current bid for each logistics order to form a current bid. Finally, the current bid for each logistics order is published through the logistics management platform.

[0015] Secondly, the present invention provides a logistics management and control system integrating intelligent order dispatching and competitive bidding, applicable to the logistics management and control method integrating intelligent order dispatching and competitive bidding as described in the first aspect or any possible design of the first aspect, comprising: The information acquisition unit is used to acquire logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; The mode selection unit is used to determine the supply and demand relationship between logistics orders and logistics channels based on the logistics channel information and the logistics order information, and select the current order allocation mode based on the determination result, wherein the current order allocation mode is either intelligent order dispatch mode or bidding order grabbing mode. The scheme generation unit is used to select a unique logistics channel as the optimal dispatch logistics channel for each logistics order based on the current order allocation mode, and form an optimal dispatch scheme. The order dispatch unit is used to dispatch each logistics order to the corresponding optimal dispatch logistics channel according to the optimal dispatch scheme.

[0016] Thirdly, the present invention provides an electronic device comprising a memory, a processor, and a transceiver connected in sequence and communication, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the integrated intelligent order dispatching and bidding order-grabbing logistics management method as described in the first aspect or any possible design of the first aspect.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, perform the logistics management method of XX integrated intelligent order dispatching and bidding described in the first aspect or any possible design of the first aspect.

[0018] Fifthly, the present invention provides a computer program product containing instructions that, when the instructions are executed on a computer, cause the computer to perform the integrated intelligent order dispatching and bidding order-grabbing logistics management method as described in the first aspect or any possible design of the first aspect.

[0019] Beneficial Effects: This invention provides a logistics management method and system integrating intelligent order dispatching and competitive bidding, comprising: First, acquiring logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; Second, determining the supply and demand relationship between logistics orders and logistics channels based on the logistics channel information and the logistics order information, and selecting the current order allocation mode based on the determination result, wherein the current order allocation mode is an intelligent order dispatching mode or a competitive bidding mode; Then, based on the current order allocation mode, selecting a unique logistics channel as the optimal order dispatching logistics channel for each logistics order, forming an optimal order dispatching plan; Finally, according to the optimal order dispatching plan, dispatching each logistics order to the corresponding optimal order dispatching logistics channel. By acquiring and analyzing information on logistics channels and logistics orders, the current delivery capacity status can be accurately determined, and a suitable order allocation mode can be selected accordingly to achieve precise real-time status response and order dispatching plan generation. The intelligent order dispatch mode can handle order dispatch under normal circumstances, and take into account order revenue and channel costs to generate a more profitable and reasonable global order dispatch plan; the bidding order grabbing mode can handle order dispatch when there are too many orders, and dynamically adjust the bidding to improve revenue while taking into account the rationality of order allocation, avoiding the imbalance of logistics management caused by disorderly competition. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the integrated intelligent order dispatching and bidding order-grabbing logistics management method provided in this embodiment of the invention; Figure 2 A functional structure diagram of the logistics management and control system integrating intelligent order dispatching and competitive order bidding provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and descriptions of the embodiments or the prior art. Obviously, the following description of the structure of the accompanying drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0022] It should be understood that although the terms first, second, etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit, without departing from the scope of the exemplary embodiments of the invention.

[0023] It should be understood that the term "and / or" that may appear in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist simultaneously. The term " / and" that may appear in this document describes another relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " that may appear in this document generally indicates that the related objects before and after it are in an "or" relationship.

[0024] Example: like Figure 1 As shown, the first aspect of this embodiment provides a logistics management method that integrates intelligent order dispatching and competitive order bidding, which may include, but is not limited to, the following steps: S1. Obtain logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; In one possible implementation, step S1, obtaining logistics channel information and logistics order information, can be broken down into steps S11-S14, including, but not limited to: S11. Receive order requests from each customer through the logistics management platform, and organize the order requests from each customer to form logistics orders; S12. Obtain the attribute information of each logistics order as logistics order information, wherein the logistics order information includes order revenue, order delivery capacity requirements, order delivery time, order delivery distance, and order additional requirements; S13. Integrate information-compliant, online channels with order-receiving capabilities into logistics channels through a logistics management platform; S14. Obtain the attribute information of each logistics channel as logistics channel information, wherein the logistics channel information includes the current vehicle location of the logistics channel, the current order receiving capacity of the logistics channel, the current cost pricing rules of the logistics channel, and the service level rating of the logistics channel.

[0025] It should be noted that the logistics control method provided in this embodiment, by fully collecting information on logistics orders and logistics channels, ensures that both order demand and channel delivery capabilities are taken into account. This guarantees that the actual revenue and requirements of each logistics order can be considered when dispatching orders. Furthermore, the logistics channels are managed in a refined manner to prevent non-compliant, offline, and / or delivery-incapable logistics channels from receiving order delivery tasks, thus ensuring the orderly operation of the logistics management platform and enabling accurate execution. In addition, detailed data collection on logistics orders and logistics channels provides accurate data support for the formation of various calculation parameters in the subsequent order allocation mode, ensuring the accuracy of subsequent calculations, achieving more reasonable order dispatch planning, and forming an order dispatch scheme that is more in line with the actual situation.

[0026] S2. Based on the logistics channel information and the logistics order information, determine the supply and demand relationship between the logistics order and the logistics channel, and select the current order allocation mode based on the determination result, wherein the current order allocation mode is either intelligent order dispatch mode or bidding order mode; In one possible implementation, step S2, based on the logistics channel information and the logistics order information, determines the supply and demand relationship between the logistics order and the logistics channel, and selects the current order allocation mode based on the determination result. This can be broken down into, but is not limited to, the following steps S21-S24, specifically including: S21. Based on the logistics channel information, obtain the current order receiving capacity of each logistics channel, summarize the current order receiving capacity of each logistics channel, and calculate the total order receiving capacity of all logistics channels. S22. Based on the logistics order information, obtain the order delivery capacity requirements for each logistics order, summarize the order delivery capacity requirements for each logistics order, and calculate the total order delivery capacity requirements for all logistics orders. S23. Compare the total order receiving capacity of all logistics channels with the total order delivery capacity requirement of all logistics orders, and determine whether the total order receiving capacity of all logistics channels meets the total order delivery capacity requirement of all logistics orders; S24. If yes, then select the intelligent order dispatch mode as the current order allocation mode; otherwise, select the bidding order grabbing mode as the current order allocation mode.

[0027] It should be noted that the logistics management method provided in this embodiment dynamically compares the delivery capacity requirements of logistics channels and logistics orders with the total order receiving capacity, thereby realizing the dynamic selection and adjustment of the order allocation mode. Both the intelligent order dispatch mode and the bidding order grabbing mode have limitations when facing the random fluctuations and significant peaks and troughs in the supply and demand relationship in the logistics and delivery market: the former lacks the ability to quickly and effectively mobilize transportation capacity when supply is insufficient, while the latter is difficult to optimize the overall operational efficiency when supply is excessive or under normal conditions. Therefore, this embodiment dynamically selects a suitable order allocation mode to deal with different supply and demand relationships, so as to improve the order response capability and order dispatch rationality of the logistics management platform.

[0028] Furthermore, in practical applications, the logistics management platform can set a sampling window for monitoring supply and demand relationships. Within a window period, it can maintain one order allocation mode to avoid system order dispatch delays caused by mode switching or order dispatch chaos caused by rapid mode switching within a short period of time. This ensures that the corresponding order allocation mode is used for each supply and demand relationship in a longer time dimension to achieve reasonable and accurate order dispatch, while also ensuring that minor fluctuations in supply and demand relationships in a shorter time dimension will not affect the normal operation of the order allocation mode, thus achieving stable and efficient order dispatch.

[0029] S3. Based on the current order allocation mode, select a unique logistics channel for each logistics order as the optimal dispatch logistics channel to form the optimal dispatch plan; In one possible implementation, when the current order allocation mode is the intelligent dispatch mode, in step S3, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan. This can be decomposed into, but is not limited to, the following steps S3a1-S3a2, specifically including: S3a1. Based on the logistics channel information and the logistics order information, establish an order dispatch diagram matching model; S3a2. In the order dispatch diagram matching model, a real-time optimization algorithm is used to allocate logistics orders to each logistics channel and select the dispatch scheme with the highest efficiency as the optimal dispatch scheme.

[0030] In one possible implementation, step S3a1, establishing an order dispatch diagram matching model based on the logistics channel information and the logistics order information, can be decomposed into, but is not limited to, the following steps S3a11-S3a14, specifically including: S3a11. Based on the logistics channel information, each logistics channel is set as a channel node, and based on the logistics order information, each logistics order is set as an order node, and the channel nodes and order nodes are integrated into a node set; S3a12. For each of the order nodes, connect them to each of the channel nodes to form multiple node edge connection relationships, and integrate the node edge connection relationships to form a node edge connection relationship set; S3a13. Obtain preset order dispatch constraints, perform feasibility screening on the set of edge connections between nodes according to the order dispatch constraints, so as to remove the edge connections between nodes that do not meet the order dispatch constraints, take the edge connections between nodes that meet the order dispatch constraints as feasible edge connections for order dispatch, and integrate each feasible edge connection for order dispatch into a set of feasible edge connections for order dispatch. S3a14. Based on the set of nodes and the set of feasible edge connections for order dispatch, construct an order dispatch graph matching model.

[0031] It should be noted that the preset order dispatch constraints described in this embodiment may include, but are not limited to, order delivery time constraints, order delivery channel requirement constraints, channel maximum delivery capacity constraints, and single channel selection constraints. These constraints ensure that each logistics order can be assigned to a logistics channel acceptable to the customer and delivered within a delivery time acceptable to the customer. They also prevent a logistics order from being assigned to multiple logistics channels or from being unable to complete the delivery. The feasible edge connection relationships formed by these constraints constitute the actual selectable order dispatch paths. Therefore, this path filtering not only optimizes the order dispatch paths and avoids dispatch errors but also significantly reduces the data volume of the feasible edge connection relationship set, naturally reducing the computational load of subsequent feasible edge revenue calculations. This significantly improves the efficiency of order dispatch scheme generation and ensures the real-time nature of order dispatch.

[0032] In one possible implementation, step S3a2, in the order dispatch diagram matching model, uses a real-time optimization algorithm to allocate logistics orders to each logistics channel and selects the most efficient dispatch scheme as the optimal dispatch scheme. This can be decomposed into, but is not limited to, the following steps S3a21-S3a25, specifically including: S3a21. Based on the logistics channel information and the logistics order information, in the order dispatch graph matching model, calculate multiple objective function values ​​for each feasible edge connection relationship of the order dispatch, and use each objective function value to form a target benefit vector for each feasible edge connection relationship of the order dispatch, wherein the objective function values ​​include the target value of order revenue, the target value of channel cost ratio, and the target value of channel service level; S3a22. Obtain the preset expected objective function value, and calculate the missing value of the objective benefit vector of each feasible edge connection relationship of the order dispatch using the expected objective function value, so as to obtain the missing value of each objective function value in the objective benefit vector of each feasible edge connection relationship of the order dispatch; S3a23. Obtain the preset optimization parameters and the original objective function weights of each objective function value. Calculate the optimization weights for the missing values ​​of each objective function value in the objective benefit vector of each feasible edge connection relationship for each order dispatch using the optimization parameters, thereby obtaining the optimized weights of each objective function value. Based on the original objective function weights and the optimized weights of each objective function value, calculate the objective function weights of each objective function value using the following formula (1): ,(i=(1,2,3))(1; in, The objective function weights for each objective function value. The original objective function weights for each objective function value. To optimize parameters, For the missing values ​​of each objective function, The guide sign for the objective function value. This represents the target value for order profitability. This indicates the target value for the proportion of channel costs. This indicates the target value for channel service level; S3a24. Define a binary decision variable for each feasible edge connection relationship of the order dispatch. The optimal dispatch efficiency is calculated using the following formula (2): (2); in, To achieve optimal order dispatch efficiency, Represents the maximum value function. Indicates about The summation function, Indicates about The summation function, This represents the feasible edge connection relationship for order dispatch. This represents an order node in a feasible edge connection relationship for order dispatch. This represents a channel node in the feasible edge connection relationship of an order dispatch. The objective function weight represents the objective function value of each objective function value in the feasible edge connection relationship of an order dispatch. This represents the missing values ​​of the objective function in the feasible edge connection relationship of an order dispatch; S3a25. Based on the optimal order dispatch efficiency, select the corresponding feasible edge connection relationship for order dispatch as the optimal order dispatch scheme.

[0033] It should be noted that this embodiment introduces multiple objective functions for multi-objective calculation to ensure that the generated dispatch plan can comprehensively consider the benefits, costs, and service levels of logistics orders. This ensures both maximum efficiency and provides better solutions for order customers. By dynamically updating the weights of the objective functions, the calculated optimal dispatch efficiency is made to match the real-time situation, resulting in an accurate, comprehensive, and complete dispatch plan. When delivery capacity is sufficient, it can selectively choose the best logistics channel for each logistics order as the optimal dispatch logistics channel, forming a global dispatch plan.

[0034] In one possible implementation, when the current order allocation mode is a bidding-based order-grabbing mode, in step S3, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan. This can be, but is not limited to, decomposed into the following steps S3b1-S3b3, specifically including: S3b1. Based on the logistics channel information and the logistics order information, calculate the current bid for each logistics order, and publish the current bid for each logistics order through the logistics management platform; S3b2. Monitor the order acceptance status of each logistics order through the logistics management platform, and update and publish the current bid in multiple rounds based on the order acceptance status of each logistics order; S3b3. Based on the order acceptance status of each logistics order, determine a unique logistics channel for each logistics order as the optimal dispatch logistics channel, thus forming the optimal dispatch plan.

[0035] In practical applications, the current bid for each logistics order changes as the order acceptance status of each logistics order changes (when the order acceptance status of any one or more logistics orders changes, the current bid for the remaining logistics orders is updated accordingly). This bid update model allows for higher bids to be offered to logistics channels when the order overload increases, in order to encourage each logistics channel to actively accept orders and alleviate the platform's order pressure; while when the order overload decreases, the bids offered to logistics channels are controlled to decrease, in order to maximize the platform's benefits.

[0036] In one possible implementation, step S3b1, based on the logistics channel information and the logistics order information, calculates the current bid for each logistics order and publishes the current bid for each logistics order through the logistics management platform. This can be broken down into, but is not limited to, the following steps S3b11-S3b16, specifically including: S3b11. Obtain historical logistics management data through the logistics management platform, and calculate the average yield rate of historical logistics orders from the historical logistics management data; S3b12. Based on the logistics channel information and the logistics order information, calculate the difference in the total order receiving capacity of the logistics channel for the logistics order as the current total order receiving capacity difference; S3b13. Obtain the preset competition coefficient factor, and calculate the current competition coefficient using the difference in the current total order receiving capacity and the competition coefficient factor; S3b14. Based on the logistics order information, the order revenue of each logistics order is obtained, and the corresponding bidding revenue is calculated for each logistics order based on the current competition coefficient. S3b15. The combined revenue formed by adding the bidding revenue of each logistics order to the order revenue of each logistics order is used to update the order revenue of each logistics order, thus forming the updated order revenue. S3b16. Obtain the logistics channel reward pricing rules of the logistics management platform, calculate the current bid for each logistics order based on the updated order revenue of each logistics order using the logistics channel reward pricing rules, and publish the current bid for each logistics order through the logistics management platform.

[0037] It should be noted that the logistics channel compensation pricing rule of the logistics management platform is based on multiple parameters. In this embodiment, the competition coefficient factor is a pre-set ratio value based on historical data and market trends. It is used to convert the difference in total order receiving capacity into a contribution to the revenue of logistics orders. This revenue contribution is reflected in the form of bidding revenue. This is because when the volume of logistics orders is too large, the platform's total revenue naturally increases. However, insufficient total order receiving capacity of the logistics channels may lead to orders not being delivered, potentially causing order delays and other problems, thus posing a risk of a sharp drop in total revenue. Therefore, the competition coefficient factor can effectively balance this risk and return. When the difference in total order receiving capacity is large, the bidding revenue calculated using the competition coefficient factor is high. This new order revenue is added to the original order revenue and input into the logistics channel compensation pricing rule of the logistics management platform. The calculated current bidding price is also relatively high. At this time, various logistics channels will naturally and spontaneously compete for orders to quickly alleviate the platform's order pressure, enabling the logistics management platform to have good elasticity and sufficient response capabilities during order peaks.

[0038] In one possible implementation, step S3b2 involves monitoring the order acceptance status of each logistics order through a logistics management platform, and updating and publishing the current bid multiple times based on the order acceptance status of each logistics order. This can be broken down into, but is not limited to, the following steps S3b21-S3b22, specifically including: S3b21. Monitor the order acceptance status of each logistics order. When a logistics order has been accepted, recalculate the difference between the current logistics channel and the total order receiving capacity of the current logistics order as the current total order receiving capacity difference, until the current total order receiving capacity difference is negative. S3b22. Based on the difference in the current total order receiving capacity, update the current competition coefficient to generate a current competition coefficient, and use the current competition coefficient to update the current bid for each logistics order to form a current bid, and publish the current bid for each logistics order through the logistics management platform.

[0039] S4. Based on the optimal dispatching scheme, each logistics order is dispatched to the corresponding optimal dispatching logistics channel.

[0040] like Figure 2 As shown, the second aspect of this embodiment provides a hardware system for implementing the logistics management method integrating intelligent order dispatching and competitive bidding as described in the first aspect of the embodiment, including: The information acquisition unit is used to acquire logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; The mode selection unit is used to determine the supply and demand relationship between logistics orders and logistics channels based on the logistics channel information and the logistics order information, and select the current order allocation mode based on the determination result, wherein the current order allocation mode is either intelligent order dispatch mode or bidding order grabbing mode. The scheme generation unit is used to select a unique logistics channel as the optimal dispatch logistics channel for each logistics order based on the current order allocation mode, and form an optimal dispatch scheme. The order dispatch unit is used to dispatch each logistics order to the corresponding optimal dispatch logistics channel according to the optimal dispatch scheme.

[0041] The working process, working details and technical effects of the system provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0042] like Figure 3 As shown, the third aspect of this embodiment provides an electronic device, including: a memory, a processor, and a transceiver that are sequentially and communicatively connected, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program and execute the logistics management method integrating intelligent order dispatching and bidding as described in the first aspect of the embodiment.

[0043] For specific examples, the memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out (FIFO) memory, and / or first-in-last-out (FILO) memory, etc.; specifically, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor may be implemented using at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor, also known as the CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state.

[0044] In some embodiments, the processor may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. For example, the processor may not be limited to microprocessors of the STM32F105 series, reduced instruction set computer (RISC) microprocessors, x86 architecture processors, or processors with integrated neural network processing units (NPUs). The transceiver may be, but is not limited to, a Wi-Fi transceiver, a Bluetooth transceiver, a General Packet Radio Service (GPRS) transceiver, a ZigBee (a low-power LAN protocol based on the IEEE 802.15.4 standard) transceiver, a 3G transceiver, a 4G transceiver, and / or a 5G transceiver. Furthermore, the device may also include, but is not limited to, a power module, a display screen, and other necessary components.

[0045] The working process, working details and technical effects of the electronic device provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0046] The fourth aspect of this embodiment provides a storage medium for storing instructions containing the integrated intelligent order dispatching and bidding order-grabbing logistics management method described in the first aspect of the embodiment. That is, the storage medium stores instructions, and when the instructions are run on a computer, the integrated intelligent order dispatching and bidding order-grabbing logistics management method described in the first aspect of the embodiment is executed.

[0047] The storage medium refers to a carrier for storing data, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or memory sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0048] The working process, working details and technical effects of the storage medium provided in this embodiment can be found in the first aspect of the embodiment, and will not be repeated here.

[0049] The fifth aspect of this embodiment provides a computer program product containing instructions that, when executed on a computer, cause the computer to perform the logistics management method integrating intelligent order dispatching and bidding as described in the first aspect of the embodiment. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0050] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A logistics management and control method integrating intelligent order dispatching and competitive bidding, characterized in that, include: Obtain logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; Based on the logistics channel information and the logistics order information, the supply and demand relationship between logistics orders and logistics channels is determined, and the current order allocation mode is selected based on the determination result. The current order allocation mode is either intelligent order dispatch mode or bidding order mode. Based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form the optimal dispatch plan. According to the optimal dispatching scheme, each logistics order is dispatched to the corresponding optimal dispatching logistics channel.

2. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 1, characterized in that, Obtain logistics channel information and logistics order information, including: The logistics management platform receives order requests from various customers and organizes these requests to form logistics orders. Obtain the attribute information of each logistics order as logistics order information, wherein the logistics order information includes order revenue, order delivery capacity requirements, order delivery time, order delivery distance and order additional requirements; By integrating information-compliant, online channels with order-receiving capabilities into logistics channels through a logistics management platform; The attribute information of each logistics channel is obtained as logistics channel information, which includes the current vehicle location, current order receiving capacity, current cost pricing rules, and service level rating of the logistics channel.

3. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 1, characterized in that, Based on the logistics channel information and the logistics order information, the supply and demand relationship between logistics orders and logistics channels is determined, and the current order allocation mode is selected based on the determination result, including: Based on the logistics channel information, the current order receiving capacity of each logistics channel is obtained, and the current order receiving capacity of each logistics channel is summarized to calculate the total order receiving capacity of all logistics channels. Based on the logistics order information, the order delivery capacity requirements of each logistics order are obtained, and the order delivery capacity requirements of each logistics order are summarized to calculate the total order delivery capacity requirements of all logistics orders. By comparing the total order receiving capacity of all logistics channels with the total order delivery capacity requirement of all logistics orders, it is determined whether the total order receiving capacity of all logistics channels meets the total order delivery capacity requirement of all logistics orders. If yes, then select the intelligent order dispatch mode as the current order allocation mode; otherwise, select the bidding order grabbing mode as the current order allocation mode.

4. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 1, characterized in that, When the current order allocation mode is intelligent dispatch mode, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan, including: Based on the logistics channel information and the logistics order information, an order dispatch diagram matching model is established; In the order dispatch graph matching model, a real-time optimization algorithm is used to allocate logistics orders to each logistics channel and select the dispatch scheme with the highest efficiency as the optimal dispatch scheme.

5. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 4, characterized in that, Based on the logistics channel information and the logistics order information, an order dispatch map matching model is established, including: Based on the logistics channel information, each logistics channel is set as a channel node, and based on the logistics order information, each logistics order is set as an order node. The channel nodes and order nodes are then integrated into a node set. For each of the order nodes, it is connected to each of the channel nodes to form multiple node edge connection relationships. The node edge connection relationships are integrated to form a node edge connection relationship set. Obtain preset order dispatch constraints, perform feasibility screening on the set of edge connections between nodes based on the order dispatch constraints, remove edge connections between nodes that do not meet the order dispatch constraints, take the edge connections between nodes that meet the order dispatch constraints as feasible edge connections for order dispatch, and integrate each feasible edge connection for order dispatch into a set of feasible edge connections for order dispatch. Based on the set of nodes and the set of feasible edge connections for order dispatch, an order dispatch graph matching model is constructed.

6. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 5, characterized in that, In the order dispatch map matching model, a real-time optimization algorithm is used to allocate logistics orders to various logistics channels and select the most efficient dispatch plan as the optimal dispatch plan, including: Based on the logistics channel information and the logistics order information, in the order dispatch graph matching model, multiple objective function values ​​are calculated for each feasible edge connection of the order dispatch, and the objective function values ​​are used to form the target benefit vector of each feasible edge connection of the order dispatch. The objective function values ​​include the target value of order revenue, the target value of channel cost ratio, and the target value of channel service level. Obtain the preset expected objective function value, and calculate the missing value of each objective function value in the objective benefit vector of each feasible edge connection relationship of order dispatch using the expected objective function value, so as to obtain the missing value of each objective function value in the objective benefit vector of each feasible edge connection relationship of order dispatch; Obtain the preset optimization parameters and the original objective function weights of each objective function value. Calculate the optimization weights for the missing values ​​of each objective function value in the objective benefit vector of each feasible edge connection relationship for each order dispatch using the optimization parameters, thereby obtaining the optimized weights of each objective function value. Based on the original objective function weights and the optimized weights of each objective function value, calculate the objective function weights of each objective function value using the following formula (1): ，(i=(1,2,3))（1）； in, The objective function weights for each objective function value. The original objective function weights for each objective function value. To optimize parameters, For the missing values ​​of each objective function, The guide sign for the objective function value. This represents the target value for order profitability. This indicates the target value for the proportion of channel costs. This indicates the target value for channel service level; Define a binary decision variable for each feasible edge connection of the order dispatching. The optimal dispatch efficiency is calculated using the following formula (2): （2）； in, To achieve optimal order dispatch efficiency, Represents the maximum value function. Indicates about The summation function, Indicates about The summation function, This represents the feasible edge connection relationship for order dispatch. This represents an order node in a feasible edge connection relationship for order dispatch. This represents a channel node in the feasible edge connection relationship of an order dispatch. The objective function weight represents the objective function value of each objective function value in the feasible edge connection relationship of an order dispatch. This represents the missing values ​​of the objective function in the feasible edge connection relationship of an order dispatch; Based on the optimal order dispatch efficiency, the corresponding feasible edge connection relationship for order dispatch is selected as the optimal order dispatch scheme.

7. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 1, characterized in that, When the current order allocation mode is a bidding-based order-grabbing mode, based on the current order allocation mode, a unique logistics channel is selected as the optimal dispatch logistics channel for each logistics order to form an optimal dispatch plan, including: Based on the logistics channel information and the logistics order information, the current bid for each logistics order is calculated, and the current bid for each logistics order is published through the logistics management platform. The logistics management platform monitors the order acceptance status of each logistics order and updates and publishes the current bid multiple times based on the order acceptance status of each logistics order. Based on the order acceptance status of each logistics order, a unique logistics channel is determined for each logistics order as the optimal dispatch logistics channel, thus forming the optimal dispatch plan.

8. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 7, characterized in that, Based on the logistics channel information and the logistics order information, the current bid for each logistics order is calculated, and the current bid for each logistics order is published through the logistics management platform, including: Historical logistics management data is obtained through a logistics management platform, and the average rate of return for historical logistics orders is calculated from the historical logistics management data. Based on the logistics channel information and the logistics order information, the difference in the total order receiving capacity of the logistics channel for the logistics order is calculated as the current total order receiving capacity difference; Obtain the preset competition coefficient factor, and calculate the current competition coefficient using the difference in the current total order receiving capacity and the competition coefficient factor; Based on the logistics order information, the order revenue of each logistics order is obtained, and the corresponding bidding revenue is calculated for each logistics order based on the current competition coefficient. The combined revenue from the bidding revenue of each logistics order and the order revenue of each logistics order is used to update the order revenue of each logistics order, resulting in the updated order revenue. The system obtains the logistics channel reward pricing rules from the logistics management platform, calculates the current bid for each logistics order based on the updated order revenue of each logistics order using the logistics channel reward pricing rules, and publishes the current bid for each logistics order through the logistics management platform.

9. The logistics management method integrating intelligent order dispatching and competitive bidding as described in claim 8, characterized in that, The logistics management platform monitors the order acceptance status of each logistics order and updates and publishes the current bid multiple times based on the order acceptance status, including: Monitor the order acceptance status of each logistics order. When an accepted logistics order appears, recalculate the difference between the current logistics channel and the total order receiving capacity of the current logistics order as the current total order receiving capacity difference, until the current total order receiving capacity difference is negative. Based on the difference in the current total order receiving capacity, the current competition coefficient is updated to generate a current competition coefficient. The current competition coefficient is then used to update the current bid for each logistics order to form a current bid. Finally, the current bid for each logistics order is published through the logistics management platform.

10. A logistics management and control system integrating intelligent order dispatching and competitive bidding, characterized in that, The logistics management method integrating intelligent order dispatching and bidding as described in any one of claims 1 to 9 includes: The information acquisition unit is used to acquire logistics channel information and logistics order information, wherein the logistics channel information includes channel information corresponding to multiple logistics channels, and the logistics order information includes order information corresponding to multiple logistics orders; The mode selection unit is used to determine the supply and demand relationship between logistics orders and logistics channels based on the logistics channel information and the logistics order information, and select the current order allocation mode based on the determination result, wherein the current order allocation mode is either intelligent order dispatch mode or bidding order grabbing mode. The scheme generation unit is used to select a unique logistics channel as the optimal dispatch logistics channel for each logistics order based on the current order allocation mode, and form an optimal dispatch scheme. The order dispatch unit is used to dispatch each logistics order to the corresponding optimal dispatch logistics channel according to the optimal dispatch scheme.

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