A cargo transportation optimization method and system based on overseas warehouse WMS

Abstract

The present invention relates to the field of logistics and transportation technology, and discloses a cargo transportation optimization method and system based on an overseas warehouse WMS, including: extracting order demand characteristics of target transported goods; determining an inventory call factor through the cargo inventory, calculating the shortest transportation time of the target transported goods according to the inventory call factor, and generating a warehouse cargo call path of the target transported goods according to the shortest transportation time; calculating an order urgency factor of the target transported goods, and determining a transportation mode of the target transported goods according to the order urgency factor; generating an initial cargo transportation route of the target transported goods according to a dynamic transportation factor, a warehouse cargo call path and a transportation mode; generating a cargo transportation optimization model of the target transported goods according to the dynamic transportation factor, dynamically optimizing the initial cargo transportation route through the cargo transportation optimization model, and transporting the target transported goods according to the optimized initial cargo transportation route. The present invention can improve the accuracy of cargo transportation optimization.

Description

Technical Field

[0001] The present invention relates to the field of logistics and transportation technology, and in particular to a cargo transportation optimization method and system based on overseas warehouse WMS. Background Art

[0002] With the expansion of international trade, companies need more efficient logistics solutions to meet the needs of global customers. When companies enter the international market, they need to set up overseas warehouses near major markets to process orders more efficiently and reduce transportation time. In order to improve the efficiency of overseas cargo transportation, cargo transportation routes need to be optimized to meet efficient warehousing and transportation management.

[0003] Existing freight transportation technology uses massive data to predict demand, optimize routes and improve decision-making. In actual applications, many emergencies may occur during freight transportation, such as weather and traffic. Optimizing the transportation route only through massive data will result in inaccurate optimized transportation routes, resulting in low accuracy in freight transportation optimization. Summary of the invention

[0004] The present invention provides a cargo transportation optimization method and system based on overseas warehouse WMS, the main purpose of which is to solve the problem of low accuracy in cargo transportation optimization.

[0005] To achieve the above purpose, the present invention provides a cargo transportation optimization method based on overseas warehouse WMS, comprising:

[0006] Extract the preset order demand characteristics of the target transport goods according to the cargo orders in the overseas warehouse WMS obtained in advance, and determine the cargo type, cargo inventory and cargo operation time of the target transport goods according to the order demand characteristics;

[0007] The inventory call factor is determined by the cargo inventory, and the shortest transportation time of the target transport cargo is calculated according to the inventory call factor using a preset multi-warehouse joint algorithm, including: when the inventory call factor is a preset target call factor, extracting the transportation time between the starting transportation location of the target transport cargo and the preset cargo warehouse; obtaining the cargo inventory quantity corresponding to each cargo warehouse; calculating the cargo call quantity of each cargo warehouse according to the cargo inventory quantity and the cargo transportation demand quantity according to the transportation time; and calculating the shortest transportation time of the target transport cargo according to the transportation time and the cargo call quantity using the following multi-warehouse joint algorithm: in, is the shortest transportation time, is the minimum function, For the The transportation time of each cargo warehouse, For the The number of goods to be transferred from a goods warehouse, is the total quantity of cargo warehouses, is the quantity of cargo transportation demand, For the The quantity of goods in stock in each cargo warehouse;

[0008] Generate a warehouse cargo call path for the target transport cargo according to the shortest transport time;

[0009] Calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transport mode of the target transported goods according to the order urgency factor;

[0010] Acquire a dynamic transportation factor through a preset time sliding window, and generate an initial cargo transportation route for the target cargo according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode;

[0011] A cargo transportation optimization model for the target cargo is generated according to the dynamic transportation factors, the initial cargo transportation route is dynamically optimized through the cargo transportation optimization model, and the target cargo is transported according to the optimized initial cargo transportation route.

[0012] Optionally, extracting preset order demand characteristics of target transport goods according to the goods order in the overseas warehouse WMS obtained in advance includes:

[0013] Extract the order number corresponding to the cargo order of the target transport cargo in the pre-obtained overseas warehouse WMS;

[0014] Extracting the cargo order field corresponding to the target transport cargo according to the order number;

[0015] The goods order field is screened based on preset goods demand to obtain an order demand field;

[0016] The order requirement features of the target transport goods are extracted according to the order requirement fields.

[0017] Optionally, determining the cargo type, cargo inventory, and cargo transportation time efficiency of the target transport cargo according to the order demand characteristics includes:

[0018] Identify the type field of the target transport goods according to the order demand characteristics;

[0019] The cargo type of the target transport cargo is counted according to the cargo data corresponding to the type field;

[0020] Counting the inventory of goods corresponding to the goods type according to the order demand characteristics;

[0021] Extracting the delivery address of the target transported goods according to the delivery field corresponding to the order demand feature, and extracting the longest arrival time of the target transported goods according to the delivery address;

[0022] The cargo transportation time limit is determined by the order delivery time of the target cargo and the longest arrival time of the cargo.

[0023] Optionally, determining the inventory call factor according to the inventory of goods includes:

[0024] Obtain the cargo transportation demand quantity of the target cargo;

[0025] Calculate the target distance between the starting transportation location of the target transported goods and the preset goods warehouse;

[0026] Extracting the inventory quantity of goods in the goods warehouse with the smallest target distance;

[0027] Calculate the inventory call symbol value based on the cargo transportation demand quantity and the cargo inventory quantity: in, Call the symbol value for the said stock, is the quantity of cargo transportation demand, is the inventory quantity of the goods, To replenish the quantity of goods, The time for loading the cargo, Time to replenish goods;

[0028] determining an inventory call factor according to the inventory call symbol value; in, The factor is called for the inventory, Call the symbol value for said stock.

[0029] Optionally, the calculating the order urgency factor of the target transported goods according to the goods type and the goods running time includes:

[0030] Determine the expected delivery time of the goods according to the type of goods and the timeliness of the goods;

[0031] Obtaining the actual transportation time and cargo priority factor of the target transportation cargo;

[0032] The order urgency factor of the target transported goods is calculated according to the expected delivery time of the goods, the actual transportation time and the goods priority factor: in, is the order urgency factor, is the actual transportation time, The expected delivery time for the goods in question, is the cargo priority factor.

[0033] Optionally, obtaining the dynamic transport factor through a preset time sliding window includes:

[0034] Determining a dynamic refresh factor according to the window length and update frequency of the time sliding window;

[0035] Collect dynamic transportation environment data in real time according to the dynamic refresh factor;

[0036] The dynamic transport factor is determined by the dynamic transport environment data.

[0037] Optionally, generating an initial cargo transportation route of the target cargo according to the dynamic transportation factor, the warehouse cargo calling path and the transportation mode includes:

[0038] Determine the transport starting position of the target transport goods according to the warehouse goods call path;

[0039] Determine a cargo transportation path according to the transportation delivery location of the target cargo and the transportation starting location, and identify key points in the cargo transportation path;

[0040] Detecting the total transportation distance and total transportation time of the cargo transportation route by the transportation mode;

[0041] Constructing a transportation route information table according to the identification of the cargo transportation route, the total transportation distance, the total transportation time and the key points of the route;

[0042] The environmental factors of all cargo transportation paths in the transportation path information table are determined according to the dynamic transportation factors, and the initial cargo transportation route of the target cargo is determined by the environmental factors.

[0043] Optionally, generating a cargo transportation optimization model for the target cargo according to the dynamic transportation factor includes:

[0044] Determine the change in transportation time of the target transported goods according to the change in transportation data in the dynamic transportation factor, and generate decision variables for all the goods transportation routes in the transportation route information table;

[0045] A cargo transportation optimization model of the target cargo is generated according to the transportation data variation, the transportation time variation and the decision variables, wherein the cargo transportation optimization model is: in, To minimize the total transportation time, is the minimum function, From the starting position To the end position Basic transportation time, The dynamic transport factor The transport characteristics are The change in transportation data in a time sliding window, The dynamic transport factor The transport characteristics are The change in transportation time of a time sliding window, From the starting position To the end position The decision variables, is the number of transport characteristics, is the number of starting positions.

[0046] Optionally, the dynamically optimizing the initial cargo transportation route by using the cargo transportation optimization model includes:

[0047] Generate a cargo update path according to the target window corresponding to the preset time sliding window;

[0048] Selecting the cargo update path corresponding to the minimum total transportation time as the updated transportation route through the cargo transportation optimization model;

[0049] The initial cargo transportation route is updated to the updated transportation route.

[0050] In order to solve the above problems, the present invention also provides a cargo transportation optimization system based on overseas warehouse WMS, the system comprising:

[0051] An order demand feature extraction module is used to extract the preset order demand features of the target transport goods according to the pre-acquired goods orders in the overseas warehouse WMS, and determine the goods type, goods inventory and goods running time of the target transport goods according to the order demand features;

[0052] A warehouse cargo call path generation module is used to determine the inventory call factor according to the cargo inventory, calculate the shortest transportation time of the target transport cargo according to the inventory call factor using a preset multi-warehouse joint algorithm, and generate a warehouse cargo call path for the target transport cargo according to the shortest transportation time;

[0053] An order urgency factor calculation module, used to calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transport mode of the target transported goods according to the order urgency factor;

[0054] An initial cargo transportation route generation module is used to obtain a dynamic transportation factor through a preset time sliding window, and generate an initial cargo transportation route for the target cargo according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode;

[0055] The initial cargo transportation route optimization module is used to generate a cargo transportation optimization model for the target cargo according to the dynamic transportation factors, dynamically optimize the initial cargo transportation route through the cargo transportation optimization model, and transport the target cargo according to the optimized initial cargo transportation route.

[0056] The embodiment of the present invention can accurately understand the demand for goods by extracting the order demand characteristics of the preset target transport goods; the calculation of the inventory call factor can help understand the inventory status of each warehouse, thereby optimizing the allocation of goods, and using the multi-warehouse joint algorithm to calculate the shortest transportation time, the optimal warehouse goods call path can be found, reducing transportation time and cost, and improving the overall supply chain efficiency; by calculating the order urgency factor, the transportation priority can be judged according to the type of goods and the operating time, and the most appropriate transportation method can be selected to meet the timeliness requirements of the order and optimize resource allocation; the introduction of the dynamic transportation factor enables the transportation route to be adjusted according to the actual situation, and the generated initial transportation route is based on real-time data, which can better adapt to the actual transportation conditions, improve flexibility and response speed; by generating a cargo transportation optimization model, the initial transportation route can be dynamically optimized, thereby improving the overall efficiency of the transportation route and reducing transportation time and cost. Therefore, the cargo transportation optimization method and system based on the overseas warehouse WMS proposed by the present invention can solve the problem of low accuracy in cargo transportation optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A flow chart of a method for optimizing cargo transportation based on an overseas warehouse WMS provided in one embodiment of the present invention;

[0058] Figure 2 A schematic diagram of a process for extracting order demand features provided by an embodiment of the present invention;

[0059] Figure 3 A schematic diagram of a flow chart for calculating an order urgency factor according to an embodiment of the present invention;

[0060] Figure 4 A functional module diagram of a cargo transportation optimization system based on an overseas warehouse WMS provided in one embodiment of the present invention.

[0061] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0062] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0063] The embodiment of the present application provides a method for optimizing cargo transportation based on an overseas warehouse WMS. The execution subject of the cargo transportation optimization method based on the overseas warehouse WMS includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the cargo transportation optimization method based on the overseas warehouse WMS can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0064] Reference Figure 1 FIG. 1 is a flow chart of a method for optimizing cargo transportation based on an overseas warehouse WMS according to an embodiment of the present invention. In this embodiment, the method for optimizing cargo transportation based on an overseas warehouse WMS includes:

[0065] S1. Extract the preset order demand characteristics of the target transport goods according to the pre-acquired goods order in the overseas warehouse WMS, and determine the goods type, goods inventory and goods running time of the target transport goods according to the order demand characteristics.

[0066] In an embodiment of the present invention, the goods order in the overseas warehouse WMS refers to the order data recorded and processed in the overseas warehouse management system (WMS), and the order data usually involves goods shipped from overseas warehouses. These goods may be ordered by different customers or internal replenishment needs of the enterprise, where the goods order includes but is not limited to order number, shipping address and receiving address, product information, customer information, and order status, and the goods order in the overseas warehouse WMS can be obtained from a pre-stored storage area through a computer statement with data capture function (such as Java statements, Python statements, etc.), and the storage area includes but is not limited to a database and a blockchain.

[0067] Furthermore, based on the cargo orders in the overseas warehouse WMS, the user's order needs can be analyzed, thereby improving the efficiency of warehousing and logistics operations.

[0068] In an embodiment of the present invention, the order demand characteristics refer to key data points and attributes that describe order characteristics during order processing and logistics management, such as order number, product type and category, product quantity, inventory location, order status, customer information, etc.

[0069] In the embodiment of the present invention, refer to Figure 2 As shown, the order demand characteristics of the preset target transport goods are extracted according to the goods order in the overseas warehouse WMS obtained in advance, including:

[0070] S21. Extract the order number corresponding to the cargo order of the target transport cargo in the overseas warehouse WMS obtained in advance;

[0071] S22, extracting the cargo order field corresponding to the target transport cargo according to the order number;

[0072] S23, screening the goods order field based on the preset goods demand to obtain the order demand field;

[0073] S24. Extracting order requirement features of the target transport goods according to the order requirement fields.

[0074] In detail, the WMS system of the overseas warehouse is queried through the API, and detailed data of all relevant orders are extracted. First, the order number is determined based on the cargo order corresponding to the target transported cargo, and the extracted order number is used to query and extract relevant cargo order fields from the WMS system, such as commodity category, quantity, weight, volume, etc. The extracted order fields are parsed, and then the cargo order fields are filtered according to the cargo demand. If the cargo demand is to query the type, inventory, customer information, etc. of the cargo, the fields corresponding to the type, inventory, and customer information of the cargo are filtered out in the cargo order field, and the filtering conditions are applied to the extracted order fields to obtain the order fields that meet the target transported cargo demand, and the filtered fields are integrated into the order demand fields, and then the order demand characteristics of the target transported cargo are determined according to the data corresponding to the order demand fields. If the order demand field is the cargo type, the order demand characteristics are the cargo type and the type data corresponding to the cargo type.

[0075] Furthermore, the basic influencing factors in the cargo transportation process can be identified through order demand characteristics, so as to better select the appropriate transportation mode and route, so as to efficiently allocate resources and reduce delays and additional costs.

[0076] In the embodiment of the present invention, the cargo type refers to the classification information of the cargo, which is used to describe the nature or characteristics of the cargo, such as "electronic products", "food", "chemicals", "furniture", etc.; the cargo inventory refers to the quantity of a certain cargo in the current inventory, and the cargo running time refers to the time required for the cargo to arrive at the destination, including transportation, processing and any possible delay time, and is an important indicator for measuring logistics efficiency.

[0077] In the embodiment of the present invention, determining the cargo type, cargo inventory, and cargo operation time of the target transport cargo according to the order demand characteristics includes:

[0078] Identify the type field of the target transport goods according to the order demand characteristics;

[0079] The cargo type of the target transport cargo is counted according to the cargo data corresponding to the type field;

[0080] Counting the inventory of goods corresponding to the goods type according to the order demand characteristics;

[0081] Extracting the delivery address of the target transported goods according to the delivery field corresponding to the order demand feature, and extracting the longest arrival time of the target transported goods according to the delivery address;

[0082] The cargo transportation time limit is determined by the order delivery time of the target cargo and the longest arrival time of the cargo.

[0083] In detail, demand characteristic information is extracted from the order, and the goods type field related to the order is clarified, including product category, brand, model and other information. The type field extracted from the order is used to count the corresponding goods data to understand the type and quantity of the target transported goods. The goods type is counted through database query or data analysis tools, and based on the identified goods type, the corresponding inventory quantity is counted.

[0084] Specifically, the delivery address of the target transported goods is extracted from the order demand characteristics, and then the longest arrival time of the target transported goods can be determined based on the distance between the starting location and the delivery location. The transportation efficiency of the goods is calculated based on the delivery time of the order and the longest arrival time of the goods. The transportation efficiency refers to the time required from the start of shipment to the arrival of the goods at the destination. The transportation efficiency analysis can be obtained through the transportation management system (TMS) or route optimization software.

[0085] Furthermore, in order to determine at what point the goods need to be reordered to avoid stock shortages and optimize inventory levels, it is necessary to determine parameters for adjusting inventory management so that sufficient inventory can be guaranteed during the transportation of goods.

[0086] S2. Determine the inventory call factor through the inventory quantity of the goods, calculate the shortest transportation time of the target transport goods according to the inventory call factor using a preset multi-warehouse joint algorithm, and generate a warehouse cargo call path for the target transport goods according to the shortest transportation time.

[0087] In the embodiment of the present invention, the inventory call factor is used to determine whether it is necessary to replenish inventory or adjust the existing inventory level to ensure that the inventory can meet the demand when needed, while avoiding excess inventory or out-of-stock situations. The inventory call factor is a numerical value used to indicate whether it is necessary to replenish inventory from suppliers or other inventory locations.

[0088] In the embodiment of the present invention, the determining of the inventory call factor according to the inventory of goods includes:

[0089] Obtain the cargo transportation demand quantity of the target cargo;

[0090] Calculate the target distance between the starting transportation location of the target transported goods and the preset goods warehouse;

[0091] Extracting the inventory quantity of goods in the goods warehouse with the smallest target distance;

[0092] Calculate the inventory call symbol value based on the cargo transportation demand quantity and the cargo inventory quantity: in, Call the symbol value for the said stock, is the quantity of cargo transportation demand, is the inventory quantity of the goods, To replenish the quantity of goods, The time for loading the cargo, Time to replenish goods;

[0093] determining an inventory call factor according to the inventory call symbol value; in, The factor is called for the inventory, Call the symbol value for said stock.

[0094] In detail, based on the order demand of the target transport goods, the demand quantity of goods transportation can be determined, that is, the quantity of goods required in the transportation process from the target location to the preset goods warehouse, and all warehouses with the target transport goods are called as this goods warehouse, and the distance between the starting transportation location and all the goods warehouses is counted, wherein the distance between the starting transportation location and all the goods warehouses can be calculated and visualized through GIS tools or online services, and the location closest to the starting transportation location of the target transport goods is selected as the target transport goods warehouse, and the goods inventory quantity corresponding to the target transport goods in its target transport goods warehouse is counted, so as to determine whether replenishment is needed.

[0095] Specifically, when the cargo loading time is greater than or equal to the cargo replenishment time, it means that new cargo will be replenished before the loading is completed. At this time, the cargo inventory quantity is not only the current inventory quantity, but the inventory will continue to be replenished; and when the cargo loading time is less than the cargo replenishment time, it means that when the cargo is loaded, the cargo replenishment time has not been reached. At this time, the cargo inventory quantity is still the current inventory quantity, where the cargo loading time can be a forklift, which can load 5 boxes at a time and takes 1 minute each time; manual, each worker can carry 1 box at a time, and the carrying time is 2 minutes (including carrying and placing time), and the cargo replenishment time can be replenished every two hours. The cargo loading time and the cargo replenishment time can be customized. For example, the cargo loading time is 3 hours and the cargo replenishment time is 2 hours. At this time, the cargo loading time is greater than the cargo replenishment time, and the number of replenished goods at this time is 30. Then, the current inventory quantity is compared with the replenished goods quantity, and the numerical sign after comparison can be positive, negative or zero. If the numerical sign after comparison is positive or zero, it means that the cargo transportation demand quantity is greater than or equal to the inventory quantity, then , that is, F is a non-negative value (i.e., replenishment is required), and the inventory call factor G is 1, indicating that replenishment is required; if the numerical sign after comparison is a negative sign, it means that the quantity of cargo transportation demand is less than the inventory quantity, then , that is, F is a negative value (i.e., excess inventory), and the inventory call factor G is -1, indicating that no replenishment is required or inventory needs to be reduced.

[0096] Furthermore, if the inventory of a warehouse is sufficient to fully meet the demand, there is no need to call for goods from other warehouses. If the inventory of a warehouse is not sufficient to fully meet the demand, it is necessary to call for inventory goods from other warehouses. In this way, the optimal cargo scheduling plan can be determined based on the inventory situation, distance, transportation cost and time of each warehouse, which can minimize transportation time and cost.

[0097] In an embodiment of the present invention, the shortest transportation time refers to the minimum total time required to select goods from all available warehouses and transport them to the target location under the condition of satisfying transportation demand and inventory constraints, including the actual transportation time from each warehouse to the target location, wherein a single warehouse is selected so that the transportation time of the warehouse is the shortest and the inventory can meet the demand; if the inventory of a warehouse is not enough to fully meet the demand, a multi-warehouse joint algorithm is used to optimize the combination, calculate the inventory call factor of each warehouse, and select a combination of transportation time and inventory to minimize the transportation time.

[0098] In the embodiment of the present invention, the method of calculating the shortest transportation time of the target transported goods according to the inventory call factor by using a preset multi-warehouse joint algorithm includes:

[0099] When the inventory call factor is a preset target call factor, extracting the transportation time between the starting transportation location of the target transported goods and the preset goods warehouse;

[0100] Obtain the inventory quantity of goods corresponding to each of the goods warehouses;

[0101] Calculate the cargo call quantity of each cargo warehouse according to the cargo inventory quantity and the cargo transportation demand quantity through the transportation time;

[0102] The shortest transportation time of the target transport goods is calculated according to the transportation time and the quantity of goods to be transported using the following multi-warehouse joint algorithm: in, is the shortest transportation time, is the minimum function, For the The transportation time of each cargo warehouse, For the The number of goods to be transferred from a goods warehouse, is the total quantity of cargo warehouses, is the quantity of cargo transportation demand, For the The inventory quantity of goods in the goods warehouse.

[0103] Specifically, when the inventory call factor is the preset target call factor (-1), the transportation time from the starting location of the target transported goods to the goods warehouse is determined, where the transportation time can use traffic data and map services to obtain a more accurate transportation time, and then the goods inventory quantity of each goods warehouse is recorded. , according to the length of transportation time and the quantity of transportation required and the inventory level at each warehouse Calculate the number of goods called for each warehouse Make sure that the total call quantity meets the demand. For example, if the cargo inventory quantity of cargo warehouse A is 30 and the cargo transportation demand quantity is 100, then the cargo call quantity of cargo warehouse A is 30, and the cargo inventory quantity of cargo warehouse B is 40, then the cargo call quantity of cargo warehouse B is 40, and then the multi-warehouse joint algorithm is used to calculate the shortest transportation time of the target transportation goods according to the transportation time and the cargo call quantity.

[0104] For example, suppose there are three warehouses, and their transportation times to the target locations are Hour, Hour, hours, and the inventory is unit, unit, Unit, demand Unit, the transportation time of warehouse 2 is the shortest, but its inventory cannot fully meet the demand. Warehouse 2 and warehouse 1 are used to meet the demand. The comprehensive transportation time is calculated. It is assumed that 50 units are transferred from warehouse 2 and the remaining 70 units are transferred from warehouse 1. The actual transportation time is calculated and selected. If the combination with the shortest time is selected, the shortest round-trip transportation time of the target transport goods is determined based on the call quantity and transportation time, and the warehouse cargo call path of the target transport goods is generated according to the shortest transportation time.

[0105] Furthermore, the warehouse cargo call path refers to the path data from one warehouse to another. For example, if the shortest transportation time is composed of warehouse 2 and warehouse 1, the warehouse cargo call path is the starting transportation position of the target transportation goods-warehouse 2-warehouse 1. The starting transportation position-warehouse 2-warehouse 1 are respectively used as path nodes to obtain the warehouse cargo call path of the target transportation goods.

[0106] Furthermore, different goods may have different priorities. For example, perishable goods may be more urgent than non-perishable goods, and high-priority goods need to be transported first to ensure that important goods receive priority treatment.

[0107] S3. Calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transportation mode of the target transported goods according to the order urgency factor.

[0108] In an embodiment of the present invention, the order urgency factor is an indicator that measures the urgency of an order during transportation. It reflects the deviation between the actual transportation time and the expected delivery time, and is combined with the priority of the goods to help determine the processing priority of the order to ensure that important or urgently needed goods can be delivered on time.

[0109] In the embodiment of the present invention, referring to Figure 3 As shown, the calculation of the order urgency factor of the target transported goods according to the goods type and the goods running time includes:

[0110] S31. Determine the expected delivery time of the goods according to the type of goods and the time efficiency of the goods;

[0111] S32, obtaining the actual transportation time and cargo priority factor of the target transport cargo;

[0112] S33, calculating the order urgency factor of the target transported goods according to the expected delivery time of the goods, the actual transportation time and the goods priority factor: in, is the order urgency factor, is the actual transportation time, The expected delivery time for the goods in question, is the cargo priority factor.

[0113] In detail, according to the type of goods (such as perishable goods, urgently needed goods, etc.) and the timeliness of the goods (such as standard transportation time, expedited transportation time), the expected delivery time of the goods is determined. This is the target time when the goods should arrive. If the type of goods is fresh food (such as fruit), the timeliness of the goods is 2 days, and the expected delivery time of the goods is 2 days. Then the actual time of transportation completion is recorded, which can be obtained through the logistics tracking system. The actual transportation time is the time taken to reach the destination from the shipping point, and the cargo priority factor is obtained. The cargo priority factor reflects the importance or urgency of the cargo. For example, important or high-priority goods may have a higher priority factor, making it more urgent to handle. The priority factor is determined according to customer needs. Customers score the cargo priority based on the delivery of the goods, giving a priority of 0-1 points, thereby determining the cargo priority.

[0114] Specifically, the relative deviation between the actual transportation time and the expected delivery time is calculated. If the actual time exceeds the expected time, the result is positive, indicating a high degree of urgency, and the priority factor of the goods is added. , further adjust the final emergency factor value, Indicates the urgency of the order, taking into account the actual transportation time, expected delivery time and the priority of the goods. The higher the value, the more urgent the order is, which requires higher priority processing, and then the transportation method of the target transport goods is determined according to the order urgency factor.

[0115] Furthermore, according to the calculated emergency factor , you can classify orders into different levels of urgency and choose the appropriate mode of transportation, such as high urgency factor , the mode of transportation is air transport or special vehicle delivery, and it needs to arrive as soon as possible. Usually the fastest mode of transportation is selected, such as air transport or special vehicle delivery, to ensure that the transportation time is shortened as much as possible; medium urgency factor , the mode of transportation is express service, expedited land transportation, the transportation time is relatively tight, but it does not need to be as fast as the orders with high urgency factor. You can choose express service or expedited land transportation to balance time and cost; low urgency factor , Transportation mode: standard land transportation, ordinary express delivery, low urgency, standard land transportation or ordinary express delivery services can be used. These methods have lower costs, but the transportation time is relatively long, thus determining the transportation mode of the target transportation goods.

[0116] Furthermore, during the cargo transportation process, transportation demand and actual transportation conditions will change in real time. The transportation conditions need to be updated in real time to make transportation decisions more accurate and to adjust transportation strategies in time to respond to emergencies or changes, thereby improving logistics efficiency and customer satisfaction.

[0117] S4. A dynamic transportation factor is obtained through a preset time sliding window, and an initial cargo transportation route of the target cargo is generated according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode.

[0118] In the embodiment of the present invention, the dynamic transportation factor is an indicator adjusted based on real-time data and changing conditions during the transportation process, including traffic flow and weather conditions.

[0119] In the embodiment of the present invention, the step of obtaining the dynamic transport factor through a preset time sliding window includes:

[0120] Determining a dynamic refresh factor according to the window length and update frequency of the time sliding window;

[0121] Collect dynamic transportation environment data in real time according to the dynamic refresh factor;

[0122] The dynamic transport factor is determined by the dynamic transport environment data.

[0123] In detail, select a suitable time window length (for example, 1 hour, 4 hours, etc.) to ensure the real-time and stability of the data, and set the frequency of data update (for example, update every 15 minutes) to ensure that changes in the transportation environment are reflected in a timely manner. The window length and update frequency can be customized, and then based on the sliding window length and update frequency, define a refresh factor to control the rate and frequency of data updates. For example, the dynamic refresh factor is refreshed every 15 minutes within an hour, and then according to the dynamic refresh factor, dynamic transportation environment data, that is, traffic flow and weather conditions, are collected in real time, so that traffic flow and weather conditions are determined as dynamic transportation factors, that is, the time sliding window is set to 1 hour, refreshed every 15 minutes, and the latest traffic flow data is obtained from the traffic monitoring system every 15 minutes, and weather updates are obtained from the weather forecast service.

[0124] Furthermore, real-time traffic data (such as road congestion, traffic accidents, etc.) will affect the choice of transportation routes. Dynamic transportation factors (such as traffic and weather data) will be integrated into path planning to select the most appropriate initial transportation route. For example, congested roads can be avoided or routes can be adjusted to cope with bad weather, ensuring that the optimal path selection can be achieved in actual transportation. Through real-time data and feedback mechanisms, transportation routes can be further adjusted and improved to adapt to changing environmental conditions.

[0125] In the embodiment of the present invention, the initial cargo transportation route refers to the preferred transportation route formulated during the planning stage based on the starting location and delivery location of the target transported cargo, combined with factors such as the transportation method and the warehouse call path, with the purpose of providing an efficient and safe starting point route for cargo transportation.

[0126] In the embodiment of the present invention, the generating of the initial cargo transportation route of the target cargo according to the dynamic transportation factor, the warehouse cargo calling path and the transportation mode includes:

[0127] Determine the transport starting position of the target transport goods according to the warehouse goods call path;

[0128] Determine a cargo transportation path according to the transportation delivery location of the target cargo and the transportation starting location, and identify key points in the cargo transportation path;

[0129] Detecting the total transportation distance and total transportation time of the cargo transportation route by the transportation mode;

[0130] Constructing a transportation route information table according to the identification of the cargo transportation route, the total transportation distance, the total transportation time and the key points of the route;

[0131] The environmental factors of all cargo transportation paths in the transportation path information table are determined according to the dynamic transportation factors, and the initial cargo transportation route of the target cargo is determined by the environmental factors.

[0132] In detail, the warehouse cargo call path is the starting transportation position of the target transported cargo - warehouse 2 - warehouse 1, then warehouse 1 is the transportation starting position of the target transported cargo, because the loading of the target transported cargo is completed in warehouse 1, so warehouse 1 is used as the transportation starting position of the target transported cargo, and then the preset map software tool is used to obtain all the cargo transportation paths, and identify the key points of the path in the cargo transportation path, where the key points of the path include but are not limited to intersections, checkpoints, traffic lights, and major turning points, and then the total distance and total time of the cargo transportation path are detected according to different transportation modes, that is, the detailed information of the transportation path is obtained from the navigation system or map data provided by the transportation mode, and the total distance and total time are calculated according to the distance of each section on the path using the speed and route map of the transportation mode, and the total transportation time from the starting position to the delivery position is calculated in combination with the average speed of the transportation mode, possible stop time and traffic conditions, that is, for each section in the path, the average speed of the transportation mode is used to calculate the basic time, taking into account possible stops during transportation, such as refueling, loading and unloading of goods, and rest. Add the estimated dwell time of each stop to the corresponding segment time. Adjust each segment time based on real-time or historical data on traffic conditions. For example, in the case of traffic congestion, additional time may need to be added. Add the base time and stop time of all segments to get the total transportation time.

[0133] Specifically, a data table containing the following information is established: path ID, path length (kilometers or miles), estimated time (minutes or hours), and key points (description and location), such as path ID: 1, path length (kilometers or miles): 15, estimated time (minutes or hours): 30, key points (description and location): intersection A, traffic light B; path ID: 2, path length (kilometers or miles): 20, estimated time (minutes or hours): 40, key points (description and location): checkpoint C, turning point D, and then a transportation path information table is obtained, and the environmental factors of each path in the transportation path information table are determined, and the initial cargo transportation route of the target transport cargo is determined through the environmental data, such as path 1: good traffic and expected few delays; path 2: heavy traffic and bad weather; path 3: moderate traffic and good weather. Then, combined with the dynamic factors, a path with good traffic and few delays is selected as the initial route. Assuming that path 1 is the best choice, the initial transportation route is from warehouse A to the target location B via path 1.

[0134] Furthermore, dynamic transportation factors, such as the average speed of the transportation mode, stop time and traffic conditions, will affect the total time and cost of transportation. By creating an optimization model, these factors can be integrated to develop the best transportation routes and strategies, thereby reducing delays, reducing costs, and improving overall logistics efficiency.

[0135] S5. Generate a cargo transportation optimization model for the target cargo according to the dynamic transportation factors, dynamically optimize the initial cargo transportation route through the cargo transportation optimization model, and transport the target cargo according to the optimized initial cargo transportation route.

[0136] In the embodiment of the present invention, the cargo transportation optimization model refers to a mathematical model used to optimize the transportation process of cargo from one location to another, the main purpose of which is to minimize transportation cost, time or other related indicators while satisfying various constraints.

[0137] In an embodiment of the present invention, the step of generating a cargo transportation optimization model for the target cargo according to the dynamic transportation factor includes:

[0138] Determine the change in transportation time of the target transported goods according to the change in transportation data in the dynamic transportation factor, and generate decision variables for all the goods transportation routes in the transportation route information table;

[0139] A cargo transportation optimization model of the target cargo is generated according to the transportation data variation, the transportation time variation and the decision variables, wherein the cargo transportation optimization model is: in, To minimize the total transportation time, is the minimum function, From the starting position To the end position Basic transportation time, The dynamic transport factor The transport characteristics are The change in transportation data in a time sliding window, The dynamic transport factor The transport characteristics are The change in transportation time of a time sliding window, From the starting position To the end position The decision variables, is the number of transport characteristics, is the number of starting positions.

[0140] In detail, the transportation problem aims to minimize the total transportation time of allocating goods from multiple supply points to multiple demand points. For the The transport characteristics are Data from a time sliding window, including traffic flow, weather conditions; transportation time changes For the The transport characteristics are The data of a time sliding window reflects the changes in transportation time caused by dynamic factors. Based on the changes in transportation data and time, all possible transportation routes and corresponding decision variables are determined. , decision variables Indicates starting position To the end position Is the transport path selected? If the path is selected, then ,otherwise For example, for every unit increase in traffic flow, the transportation time may increase by the number of minutes, that is, if the traffic flow increases by 10%, the transportation time will increase by 5%, then the transportation time change can be set to 0.5 (5% / 10%); for every millimeter increase in precipitation, the transportation time may increase by the number of minutes, that is, if every 1 mm increase in precipitation will increase the transportation time by 2%, then the transportation time change can be set to 0.02 (2% / 1 mm).

[0141] Specifically, a transportation optimization model is constructed based on dynamic factors and decision variables. The goal of the model is to minimize the total transportation time, where To the end position Basic transportation time It updates the position of the current transport path based on the time sliding window and takes the position of the current transport path as the starting position , or use the transport destination as the final location , which is equivalent to re-updating the path from the starting position End position The basic transportation time is re-planned, such as from the starting position under the first time sliding window To the end position The path is A. Due to the change of dynamic factors in the next time sliding window, the location of the cargo transportation at this time is recorded at the beginning of the next time sliding window, and the location of the cargo transportation at this time is used as the next starting position, and the next starting position to the end position is replanned. The path is calculated and the total transportation time is minimized in the re-planned route, thus obtaining a cargo transportation optimization model.

[0142] Furthermore, dynamic optimization of cargo transportation routes is to cope with possible changes in the transportation process, such as demand fluctuations, unstable supply or changes in traffic conditions. Through dynamic optimization, transportation routes can be adjusted in real time to reduce costs, improve efficiency, and adapt to new constraints or emergencies, thereby achieving the optimality and flexibility of the transportation process.

[0143] In the embodiments of the present invention, dynamic optimization of the initial cargo transportation route can avoid traffic jams and other delays, thereby shortening the transportation time, and can respond to changes in demand, supply, or sudden changes in traffic conditions in real time, thereby maintaining the flexibility of the transportation plan.

[0144] In an embodiment of the present invention, the dynamically optimizing the initial cargo transportation route by using the cargo transportation optimization model includes:

[0145] Generate a cargo update path according to the target window corresponding to the preset time sliding window;

[0146] Selecting the cargo update path corresponding to the minimum total transportation time as the updated transportation route through the cargo transportation optimization model;

[0147] The initial cargo transportation route is updated to the updated transportation route.

[0148] In detail, the time sliding window is a dynamically adjusted time period, which is usually used to update and optimize the transportation route in real time during the transportation process. In each time window, the cargo transportation route is re-evaluated and an updated path is generated, that is, the latest demand data, supply data, traffic conditions, etc. are obtained, and the real-time data is input into the cargo transportation optimization model. Through model solving, the optimal transportation path in the current time window is found, and the optimized updated transportation path is applied to actual operations to update the initial cargo transportation route, so as to be able to respond to changes in the transportation environment in a timely manner, such as demand changes, traffic jams, etc.

[0149] Specifically, the target cargo is transported according to the optimized initial cargo transportation route, that is, the cargo is driven along the prescribed route to achieve cargo transportation, and the tracking system is used to monitor the cargo transportation progress to ensure the execution of the transportation route. After the transportation is completed, the actual effect is evaluated to see how well it matches the optimization plan, and feedback is collected to improve future route optimization, so as to ensure that the cargo arrives at the target location safely and efficiently along the optimal route.

[0150] The embodiment of the present invention can accurately understand the demand for goods by extracting the order demand characteristics of the preset target transport goods; the calculation of the inventory call factor can help understand the inventory status of each warehouse, thereby optimizing the allocation of goods, and using the multi-warehouse joint algorithm to calculate the shortest transportation time, the optimal warehouse goods call path can be found, reducing transportation time and cost, and improving the overall supply chain efficiency; by calculating the order urgency factor, the transportation priority can be judged according to the type of goods and the operating time, and the most appropriate transportation method can be selected to meet the timeliness requirements of the order and optimize resource allocation; the introduction of the dynamic transportation factor enables the transportation route to be adjusted according to the actual situation, and the generated initial transportation route is based on real-time data, which can better adapt to the actual transportation conditions, improve flexibility and response speed; by generating a cargo transportation optimization model, the initial transportation route can be dynamically optimized, thereby improving the overall efficiency of the transportation route and reducing transportation time and cost. Therefore, the cargo transportation optimization method and system based on the overseas warehouse WMS proposed by the present invention can solve the problem of low accuracy in cargo transportation optimization.

[0151] like Figure 4 , which is a functional module diagram of a cargo transportation optimization system based on an overseas warehouse WMS provided in one embodiment of the present invention.

[0152] The cargo transportation optimization system 100 based on overseas warehouse WMS of the present invention can be installed in an electronic device. According to the functions implemented, the cargo transportation optimization system 100 based on overseas warehouse WMS can include an order demand feature extraction module 101, a warehouse cargo call path generation module 102, an order urgency factor calculation module 103, an initial cargo transportation route generation module 104 and an initial cargo transportation route optimization module 105. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0153] In this embodiment, the functions of each module / unit are as follows:

[0154] The order demand feature extraction module 101 is used to extract the preset order demand features of the target transport goods according to the pre-acquired goods order in the overseas warehouse WMS, and determine the goods type, goods inventory and goods running time of the target transport goods according to the order demand features;

[0155] The warehouse cargo call path generation module 102 is used to determine the inventory call factor according to the cargo inventory, calculate the shortest transportation time of the target transport cargo according to the inventory call factor using a preset multi-warehouse joint algorithm, and generate the warehouse cargo call path of the target transport cargo according to the shortest transportation time;

[0156] The order urgency factor calculation module 103 is used to calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transportation mode of the target transported goods according to the order urgency factor;

[0157] The initial cargo transportation route generation module 104 is used to obtain a dynamic transportation factor through a preset time sliding window, and generate an initial cargo transportation route for the target cargo according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode;

[0158] The initial cargo transportation route optimization module 105 is used to generate a cargo transportation optimization model for the target cargo according to the dynamic transportation factors, dynamically optimize the initial cargo transportation route through the cargo transportation optimization model, and transport the target cargo according to the optimized initial cargo transportation route.

[0159] In detail, each module described in the cargo transportation optimization system 100 based on the overseas warehouse WMS in the embodiment of the present invention is used in the same manner as described above. Figures 1 to 3 The same technical means are used as the cargo transportation optimization method based on overseas warehouse WMS described in the specification and can produce the same technical effects, so I will not go into details here.

[0160] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0161] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0163] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0164] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is not limited only according to the above description, and it is intended that all changes within the meaning and scope of equivalent elements within the scope of protection are included in the present invention.

[0165] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0166] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A cargo transportation optimization method based on overseas warehouse WMS, characterized in that: The method comprises: Extract the preset order demand characteristics of the target transport goods according to the cargo orders in the overseas warehouse WMS obtained in advance, and determine the cargo type, cargo inventory and cargo operation time of the target transport goods according to the order demand characteristics; Determining the inventory call factor through the cargo inventory includes: obtaining the cargo transportation demand quantity of the target transport cargo; calculating the target distance between the starting transportation position of the target transport cargo and the preset cargo warehouse; extracting the cargo inventory quantity in the cargo warehouse with the smallest target distance; and calculating the inventory call symbol value according to the cargo transportation demand quantity and the cargo inventory quantity: Wherein, F is the inventory call symbol value, X is the cargo transportation demand quantity, Y is the cargo inventory quantity, L is the replenishment cargo quantity, t1 is the cargo loading time, and t2 is the cargo replenishment time; Determine the stock call factor based on the stock call symbol value: Wherein, G is the inventory call factor, and F is the inventory call symbol value; The shortest transportation time of the target transported goods is calculated according to the inventory call factor using a preset multi-warehouse joint algorithm, including: when the inventory call factor is a preset target call factor, extracting the transportation time between the starting transportation location of the target transported goods and the preset goods warehouse; obtaining the goods inventory quantity corresponding to each of the goods warehouses; calculating the goods call quantity of each goods warehouse according to the goods inventory quantity and the goods transportation demand quantity through the transportation time; and calculating the shortest transportation time of the target transported goods according to the transportation time and the goods call quantity using the following multi-warehouse joint algorithm: Where T is the shortest transportation time, min is the minimum function, S i is the transportation time of the i-th cargo warehouse, R i is the quantity of goods called for in the i-th goods warehouse, n is the total number of goods warehouses, D is the quantity of goods transport demand, I i is the inventory quantity of the i-th cargo warehouse; Generate a warehouse cargo call path for the target transport cargo according to the shortest transport time; Calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transport mode of the target transported goods according to the order urgency factor; Acquire a dynamic transportation factor through a preset time sliding window, and generate an initial cargo transportation route for the target cargo according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode; A cargo transportation optimization model for the target cargo is generated according to the dynamic transportation factors, the initial cargo transportation route is dynamically optimized through the cargo transportation optimization model, and the target cargo is transported according to the optimized initial cargo transportation route.

2. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The step of extracting the preset order demand characteristics of the target transport goods according to the pre-acquired goods order in the overseas warehouse WMS includes: Extract the order number corresponding to the cargo order of the target transport cargo in the pre-obtained overseas warehouse WMS; Extracting the cargo order field corresponding to the target transport cargo according to the order number; The goods order field is screened based on preset goods demand to obtain an order demand field; The order requirement features of the target transport goods are extracted according to the order requirement fields.

3. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The determining of the cargo type, cargo inventory and cargo operation time of the target transport cargo according to the order demand characteristics includes: Identify the type field of the target transport goods according to the order demand characteristics; The cargo type of the target transport cargo is counted according to the cargo data corresponding to the type field; Counting the inventory of goods corresponding to the goods type according to the order demand characteristics; Extracting the delivery address of the target transported goods according to the delivery field corresponding to the order demand feature, and extracting the longest arrival time of the target transported goods according to the delivery address; The cargo transportation time limit is determined by the order delivery time of the target cargo and the longest arrival time of the cargo.

4. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The calculating of the order urgency factor of the target transported goods according to the goods type and the goods running time includes: Determine the expected delivery time of the goods according to the type of goods and the timeliness of the goods; Obtaining the actual transportation time and cargo priority factor of the target transportation cargo; The order urgency factor of the target transported goods is calculated according to the expected delivery time of the goods, the actual transportation time and the goods priority factor: Where δ is the order urgency factor, T actual is the actual transportation time, T exp The expected delivery time for the goods in question, is the cargo priority factor.

5. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The method of obtaining the dynamic transport factor through a preset time sliding window includes: Determining a dynamic refresh factor according to the window length and update frequency of the time sliding window; Collect dynamic transportation environment data in real time according to the dynamic refresh factor; The dynamic transport factor is determined by the dynamic transport environment data.

6. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The generating of the initial cargo transportation route of the target cargo according to the dynamic transportation factor, the warehouse cargo calling path and the transportation mode comprises: Determine the transport starting position of the target transport goods according to the warehouse goods call path; Determine a cargo transportation path according to the transportation delivery location of the target cargo and the transportation starting location, and identify key points in the cargo transportation path; Detecting the total transportation distance and total transportation time of the cargo transportation route by the transportation mode; Constructing a transportation route information table according to the identification of the cargo transportation route, the total transportation distance, the total transportation time and the key points of the route; The environmental factors of all cargo transportation paths in the transportation path information table are determined according to the dynamic transportation factors, and the initial cargo transportation route of the target cargo is determined by the environmental factors.

7. The cargo transportation optimization method based on overseas warehouse WMS according to claim 6 is characterized in that: The generating of the cargo transportation optimization model of the target cargo according to the dynamic transportation factor comprises: Determine the change in transportation time of the target transported goods according to the change in transportation data in the dynamic transportation factor, and generate decision variables for all the goods transportation routes in the transportation route information table; A cargo transportation optimization model of the target cargo is generated according to the transportation data variation, the transportation time variation and the decision variables, wherein the cargo transportation optimization model is: Among them, Z is the minimum total transportation time, min is the minimum function, C uv is the basic transportation time from the starting location u to the ending location v, γ ke is the change in transportation data of the kth transportation feature of the dynamic transportation factor in the eth time sliding window, μ ke is the change in transportation time of the kth transportation feature of the dynamic transportation factor in the eth time sliding window, θ uv is the decision variable from the starting location u to the ending location v, m is the number of transportation features, and U is the number of starting locations.

8. The cargo transportation optimization method based on overseas warehouse WMS according to claim 1 is characterized in that: The dynamically optimizing the initial cargo transportation route by using the cargo transportation optimization model includes: Generate a cargo update path according to the target window corresponding to the preset time sliding window; Selecting the cargo update path corresponding to the minimum total transportation time as the updated transportation route through the cargo transportation optimization model; The initial cargo transportation route is updated to the updated transportation route.

9. A cargo transportation optimization system based on overseas warehouse WMS, characterized in that: The system is used to execute the cargo transportation optimization method based on overseas warehouse WMS according to any one of claims 1 to 8, and comprises: An order demand feature extraction module is used to extract the preset order demand features of the target transport goods according to the pre-acquired goods orders in the overseas warehouse WMS, and determine the goods type, goods inventory and goods running time of the target transport goods according to the order demand features; The warehouse cargo call path generation module is used to determine the inventory call factor through the cargo inventory, including: obtaining the cargo transportation demand quantity of the target transport cargo; calculating the target distance between the starting transportation position of the target transport cargo and the preset cargo warehouse; extracting the cargo inventory quantity in the cargo warehouse with the smallest target distance; calculating the inventory call symbol value according to the cargo transportation demand quantity and the cargo inventory quantity: Wherein, F is the inventory call symbol value, X is the cargo transportation demand quantity, Y is the cargo inventory quantity, L is the replenishment cargo quantity, t1 is the cargo loading time, and t2 is the cargo replenishment time; Determine the stock call factor based on the stock call symbol value: Wherein, G is the inventory call factor, and F is the inventory call symbol value; The shortest transportation time of the target transported goods is calculated according to the inventory call factor using a preset multi-warehouse joint algorithm, including: when the inventory call factor is a preset target call factor, extracting the transportation time between the starting transportation location of the target transported goods and the preset goods warehouse; obtaining the goods inventory quantity corresponding to each of the goods warehouses; calculating the goods call quantity of each goods warehouse according to the goods inventory quantity and the goods transportation demand quantity through the transportation time; and calculating the shortest transportation time of the target transported goods according to the transportation time and the goods call quantity using the following multi-warehouse joint algorithm: Where T is the shortest transportation time, min is the minimum function, S i is the transportation time of the i-th cargo warehouse, R i is the quantity of goods called for in the i-th goods warehouse, n is the total number of goods warehouses, D is the quantity of goods transport demand, I i is the inventory quantity of the i-th cargo warehouse; Generate a warehouse cargo call path for the target transport cargo according to the shortest transport time; An order urgency factor calculation module, used to calculate the order urgency factor of the target transported goods according to the type of goods and the transport time of the goods, and determine the transport mode of the target transported goods according to the order urgency factor; An initial cargo transportation route generation module is used to obtain a dynamic transportation factor through a preset time sliding window, and generate an initial cargo transportation route for the target cargo according to the dynamic transportation factor, the warehouse cargo call path and the transportation mode; The initial cargo transportation route optimization module is used to generate a cargo transportation optimization model for the target cargo according to the dynamic transportation factors, dynamically optimize the initial cargo transportation route through the cargo transportation optimization model, and transport the target cargo according to the optimized initial cargo transportation route.

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