Logistics site reorganization information generation method, device, equipment and readable medium

Abstract

Embodiments of the present disclosure disclose a logistics site reorganization information generation method, device, equipment and readable medium. A specific embodiment of the method includes: performing screening processing on a preset logistics site information set to obtain a screened site information group; performing combination processing on each screened site information in the screened site information group to generate a site reorganization information set; performing logistics simulation testing on each site reorganization information in the site reorganization information set to generate a simulation order fulfillment and timely rate, and obtaining a simulation order fulfillment and timely rate set; and using the simulation order fulfillment and timely rate set to perform sorting processing on the site reorganization information in the site reorganization information set to generate a logistics site reorganization information sequence. The embodiment makes the distribution of the combined site resources balanced. Furthermore, the order distribution efficiency of the combined surrounding sites is improved.

Description

Technical Field

[0001] The embodiments disclosed herein relate to the field of computer technology, and more specifically to a method, apparatus, device, and readable medium for generating logistics site reorganization information. Background Technology

[0002] The logistics site reorganization information generation method is a technology used to provide solutions for splitting or merging logistics sites. Currently, the common approach to generating logistics site reorganization information is as follows: manually screening sites based on their average daily order volume to select sites with an average daily order volume below a threshold that can be merged into surrounding sites, and simply formulating an order resource allocation plan (e.g., delivery area division) for the site, which serves as the logistics site reorganization information.

[0003] However, the inventors discovered that when generating logistics site reorganization information using the above method, the following technical problems often arise:

[0004] The lack of granular allocation of order resources for the split sites, after which the resources of the split sites are distributed to surrounding sites, results in an uneven distribution of resources among the surrounding sites, which in turn leads to a decrease in the order delivery efficiency of the merged surrounding sites.

[0005] The information disclosed in this background section is only intended to enhance the understanding of the background of the inventive concept, and therefore may contain information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0007] Some embodiments of this disclosure provide a method, apparatus, device, and readable medium for generating logistics site reorganization information to address the technical problems mentioned in the background section above.

[0008] In a first aspect, some embodiments of this disclosure provide a method for generating logistics site reorganization information. The method includes: filtering a preset set of logistics site information to obtain a group of filtered site information; combining each of the filtered site information in the group of filtered site information to generate a set of site reorganization information; performing logistics simulation tests on each site reorganization information in the set of site reorganization information to generate a simulated order fulfillment timeliness rate, thereby obtaining a set of simulated order fulfillment timeliness rates; and sorting the site reorganization information in the set of site reorganization information using the set of simulated order fulfillment timeliness rates to generate a sequence of logistics site reorganization information.

[0009] Optionally, the above method further includes: sending the above-mentioned logistics site reorganization information sequence to a display terminal for display.

[0010] Optionally, each logistics station information in the above logistics station information set includes the station's production ratio; and the above filtering process of the preset logistics station information set to obtain a filtered station information group includes: determining the logistics station information in the above logistics station information set whose station production ratio meets the preset production ratio condition as the filtered station information, thereby obtaining the filtered station information group.

[0011] Optionally, each piece of filtered site information in the above-mentioned filtered site information group includes: site address coordinates and a set of historical order information for the site; and the above-mentioned combination processing of each piece of filtered site information in the above-mentioned filtered site information group to generate a site reorganization information set includes: for each piece of filtered site information in the above-mentioned filtered site information group, performing the following generation steps to generate site reorganization information: determining the filtered site information in the above-mentioned filtered site information group whose distance from the site address coordinates included in the above-mentioned filtered site information group is within a preset range as target site information, and obtaining a target site information group; generating a set of site simulation operation information groups based on the target site information group and the set of historical order information for the site included in the above-mentioned filtered site information; and determining the site simulation operation information groups in the above-mentioned site simulation operation information group set that meet the preset site turnover conditions as site reorganization information.

[0012] Optionally, the above-mentioned generation of a set of simulated operation information groups based on the target site information group and the set of historical order information of the sites included in the filtered site information includes: allocating the historical order information of each site in the set of historical order information of the sites included in the filtered site information based on the target site information group to generate an allocated set of site information groups; determining the simulated operation information of each allocated site information in each allocated site information group in the allocated set of site information groups to obtain the set of simulated operation information groups.

[0013] Optionally, each site reorganization information in the aforementioned site reorganization information set includes: a set of reorganized site delivery order information and reorganized site delivery area information; and the aforementioned logistics simulation test of each site reorganization information in the aforementioned site reorganization information set to generate a simulated order fulfillment timeliness rate includes: based on preset order timeliness conditions, performing delivery route planning for the delivery areas corresponding to the reorganized site delivery area information included in the aforementioned site reorganization information to obtain the reorganized site delivery route; and based on the aforementioned reorganized site delivery route, performing simulated delivery processing on each reorganized site delivery order information in the reorganized site delivery order information set included in the aforementioned reorganized site information to generate a simulated order fulfillment timeliness rate.

[0014] Optionally, using the aforementioned simulated order fulfillment timeliness rate set, the site reorganization information in the aforementioned site reorganization information set is sorted to generate a logistics site reorganization information sequence. This includes: determining the simulated order fulfillment timeliness rates that meet preset fulfillment timeliness rate conditions and the corresponding site reorganization information in the aforementioned simulated order fulfillment timeliness rate set as post-test site reorganization information, thereby obtaining a post-test site reorganization information set; and sorting each post-test site reorganization information in the aforementioned post-test site reorganization information set to generate a logistics site reorganization information sequence.

[0015] Secondly, some embodiments of this disclosure provide a logistics site reorganization information generation apparatus, the apparatus comprising: a screening processing unit configured to screen a preset logistics site information set to obtain a screened site information group; a combination processing unit configured to combine each screened site information in the screened site information group to generate a site reorganization information set; a simulation testing unit configured to perform logistics simulation testing on each site reorganization information in the site reorganization information set to generate a simulated order fulfillment timeliness rate, obtaining a simulated order fulfillment timeliness rate set; and a sorting processing unit configured to sort the site reorganization information in the site reorganization information set using the simulated order fulfillment timeliness rate set to generate a logistics site reorganization information sequence.

[0016] Optionally, the above-mentioned logistics site reorganization information generation device further includes a sending unit, which is configured to send the above-mentioned logistics site reorganization information sequence to a display terminal for display.

[0017] Optionally, each logistics station information in the above logistics station information set includes the station's production ratio; and the screening and processing unit in the logistics station reorganization information generation device is further configured to: determine the logistics station information in the above logistics station information set whose station production ratio meets the preset production ratio condition as the screened station information, thereby obtaining a screened station information group.

[0018] Optionally, each piece of filtered site information in the above-mentioned filtered site information group includes: site address coordinates and a set of historical order information for the site; and the combined processing unit in the logistics site reorganization information generation device is further configured to: for each piece of filtered site information in the above-mentioned filtered site information group, perform the following generation steps to generate site reorganization information: determine the filtered site information in the above-mentioned filtered site information group whose distance from the site address coordinates included in the above-mentioned filtered site information group is within a preset range as target site information, and obtain a target site information group; generate a set of site simulation operation information groups based on the above-mentioned target site information group and the set of historical order information for the site included in the above-mentioned filtered site information group; determine the site simulation operation information group in the above-mentioned site simulation operation information group set that meets the preset site turnover conditions as site reorganization information.

[0019] Optionally, the combined processing unit in the logistics site reorganization information generation device is further configured to: based on the above-mentioned target site information group, allocate and process the historical order information of each site in the site historical order information set included in the above-mentioned filtered site information to generate an allocated site information group set; determine the site simulation operation information corresponding to each allocated site information in each allocated site information group in the above-mentioned allocated site information group set, and obtain a site simulation operation information group set.

[0020] Optionally, each site reorganization information in the aforementioned site reorganization information set includes: a set of reorganized site delivery order information and reorganized site delivery area information; and the simulation testing unit in the logistics site reorganization information generation device is further configured to: based on preset order timeliness conditions, perform delivery route planning on the delivery areas corresponding to the reorganized site delivery area information included in the aforementioned site reorganization information to obtain reorganized site delivery routes; and based on the aforementioned reorganized site delivery routes, perform simulated delivery processing on each reorganized site delivery order information in the reorganized site delivery order information set included in the aforementioned reorganized site information to generate simulated order fulfillment timeliness rates.

[0021] Optionally, the sorting processing unit in the logistics site reorganization information generation device is further configured to: determine the simulated order fulfillment timeliness rate that meets the preset fulfillment timeliness rate condition and the corresponding site reorganization information in the above-mentioned simulated order fulfillment timeliness rate set as post-test site reorganization information, and obtain a post-test site reorganization information set; sort each post-test site reorganization information in the above-mentioned post-test site reorganization information set to generate a logistics site reorganization information sequence.

[0022] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0023] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0024] Fifthly, some embodiments of this disclosure provide a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0025] The above embodiments of this disclosure have the following beneficial effects: the logistics site reorganization information generation method of some embodiments of this disclosure can improve the order delivery efficiency of the merged surrounding sites. Specifically, the reason for the reduced order delivery efficiency of the merged surrounding sites is that the order resources of the split sites are not allocated in a fine-grained manner. After the resources of the split sites are allocated to the surrounding sites, the resource allocation of the surrounding sites becomes uneven. Based on this, the logistics site reorganization information generation method of some embodiments of this disclosure firstly filters a preset logistics site information set to obtain a filtered site information group. Through the filtering process, logistics sites that do not meet the splitting requirements can be removed. Then, the filtered site information in the above-mentioned filtered site information group is combined to generate a site reorganization information set. Through the combination process, it can be used to generate a resource allocation scheme for allocating the resources of the split sites to other surrounding sites, i.e., site reorganization information. Afterwards, logistics simulation tests are performed on each site reorganization information in the above-mentioned site reorganization information set to generate a simulated order fulfillment timeliness rate, resulting in a simulated order fulfillment timeliness rate set. By obtaining simulated order fulfillment on-time rates through simulation testing, the actual impact of different resource allocation schemes on the order delivery efficiency of surrounding stations can be controlled in a fine-grained manner. Finally, using the aforementioned simulated order fulfillment on-time rate set, the station reorganization information in the aforementioned station reorganization information set is sorted to generate a logistics station reorganization information sequence. This allows for the sorting of various resource allocation schemes that meet preset fulfillment on-time rate conditions, thus generating a logistics station reorganization information sequence. This facilitates the selection of a reasonable order allocation scheme that ensures the order delivery efficiency of surrounding stations based on the sorted logistics station reorganization information. Therefore, fine-grained allocation of resources for station splitting is achieved, resulting in a balanced resource allocation among the merged surrounding stations. Consequently, the order delivery efficiency of the merged surrounding stations is improved. Attached Figure Description

[0026] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0027] Figure 1 This is a schematic diagram illustrating an application scenario of the logistics site reorganization information generation method according to some embodiments of this disclosure;

[0028] Figure 2 This is a flowchart of some embodiments of the logistics site reorganization information generation method according to the present disclosure;

[0029] Figure 3 This is a schematic diagram of the reorganized site delivery route in some embodiments of the logistics site reorganization information generation method according to this disclosure;

[0030] Figure 4 This is a flowchart of some other embodiments of the logistics site reorganization information generation method according to the present disclosure;

[0031] Figure 5 This is a schematic diagram of the structure of some embodiments of the logistics site reorganization information generation device according to the present disclosure;

[0032] Figure 6 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation

[0033] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0034] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0035] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0036] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0037] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0038] The collection, storage, and use of user personal information (such as users' historical order information) involved in this disclosure shall be carried out in accordance with relevant laws and regulations, provided that the relevant organizations or individuals have fulfilled their obligations, including conducting personal information security impact assessments, informing personal information subjects, obtaining prior authorization and consent from personal information subjects, and other obligations before performing the corresponding operations.

[0039] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0040] Figure 1 This is a schematic diagram illustrating an application scenario of the logistics site reorganization information generation method according to some embodiments of this disclosure.

[0041] exist Figure 1 In the application scenario, firstly, the computing device 101 can filter the preset logistics station information set 102 to obtain a filtered station information group 103. For example, the logistics station information could be: [station a, average daily order volume: 100]. Next, the computing device 101 can combine the filtered station information in the filtered station information group 103 to generate a station reorganization information set 104. For example, the station reorganization information could be: [order volume of station a allocated to station b: 50, order volume of station a allocated to station c: 50]. Then, the computing device 101 can perform logistics simulation testing on each station reorganization information in the station reorganization information set 104 to generate a simulated order fulfillment timeliness rate, obtaining a simulated order fulfillment timeliness rate set 105. Finally, the computing device 101 can use the simulated order fulfillment timeliness rate set 105 to sort the station reorganization information in the station reorganization information set 104 to generate a logistics station reorganization information sequence 106.

[0042] It should be noted that the aforementioned computing device 101 can be either hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is software, it can be installed within the hardware devices listed above. It can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here.

[0043] It should be understood that Figure 1 The number of computing devices shown is merely illustrative. Any number of computing devices can be used depending on implementation needs.

[0044] Continue to refer to Figure 2 The flowchart 200 illustrates some embodiments of a logistics site reorganization information generation method according to the present disclosure. This logistics site reorganization information generation method includes the following steps:

[0045] Step 201: Filter the preset logistics station information set to obtain the filtered station information group.

[0046] In some embodiments, the entity executing the logistics site reorganization information generation method (such as...) Figure 1 The computing device 101 shown can filter a preset set of logistics station information to obtain a filtered group of station information. The information of each logistics station in the preset set can be the actual logistics station information stored in a database. The logistics station information can include information such as station number, station address, or average daily order volume. For example, the logistics station information could be: [Site a, average daily order volume: 100]. Secondly, logistics station information in the set whose average daily order volume is less than a preset order volume threshold (e.g., 150) can be identified as the filtered station information. Here, each piece of logistics station information can correspond to one logistics station.

[0047] In some optional implementations of certain embodiments, each logistics station information in the aforementioned logistics station information set may further include the station's operational efficiency ratio. Furthermore, the process by which the executing entity filters the preset logistics station information set to obtain a filtered group of station information may include the following steps:

[0048] The logistics station information included in the above-mentioned logistics station information set that meets the preset return on investment (ROI) conditions is identified as the filtered station information group. The ROI can be the ratio of station input to station revenue.

[0049] In practice, thresholds for parameters such as average daily order volume and site ROI can also be set to select sites that meet the criteria.

[0050] Step 202: Combine the information of each filtered site in the filtered site information group to generate a site reorganization information set.

[0051] In some embodiments, the execution entity may combine the filtered site information in the filtered site information group to generate a site reorganization information set. Specifically, for each filtered site information, the following steps may be performed to generate site reorganization information:

[0052] The first step is to select the filtered site information from the above-mentioned filtered site information groups that are located in the same region as the filtered site information, and form a same-region site information group. "In the same region" means that the site addresses included in the filtered site information are within the same major district. For example, Fengtai District, Chaoyang District, etc.

[0053] The second step involves randomly assigning the average daily order volume of each filtered site to various sites within the same region information group, thus generating a site reorganization information group. This random assignment can be performed multiple times, with each assignment distributing different orders to each site within the same region. These reorganized sites are then identified as the site reorganization information group. This process yields the site reorganization information group.

[0054] The third step is to combine the site reorganization information in each site reorganization information group into a site reorganization information set.

[0055] In some optional implementations of certain embodiments, each piece of filtered site information in the aforementioned filtered site information group may include: site address coordinates and a set of historical order information for the site. Furthermore, the execution entity may combine the various pieces of filtered site information in the aforementioned filtered site information group to generate a site reorganization information set, which may include the following steps:

[0056] For each filtered site in the above filtered site information group, perform the following generation steps to generate site reorganization information:

[0057] The first step involves identifying target site information groups by determining the distances between the site address coordinates and other site information included in the filtered site information group that fall within a preset range. The site address coordinates can be coordinates in a world coordinate system. The site's historical order information set can be order information from a specific day or period. Secondly, a distance between site address coordinates within a preset range (e.g., 5 kilometers) indicates that the sites are relatively close, which can be used to allocate resources from split sites to those sites.

[0058] The second step involves generating a set of site simulation operation information groups based on the target site information group and the historical order information set of the filtered sites. This set of information groups can be generated using a preset resource allocation algorithm.

[0059] As an example, resource allocation algorithms may include, but are not limited to, the Resource Allocation algorithm.

[0060] Optionally, the aforementioned executing entity may also generate a set of site simulation operation information groups based on the aforementioned target site information group and the set of historical order information for the sites included in the aforementioned filtered site information through the following steps:

[0061] Step 1: Based on the aforementioned target site information group, allocate the historical order information of each site in the historical order information set included in the filtered site information to generate an allocated set of site information groups. This can be achieved by arranging the target site information in the target site information group using a permutation formula, resulting in a permuted set of target site information groups. Here, each permuted target site information in each permuted target site information group can represent a site selection scheme. Different site selection schemes can select different sites and the number of sites. Next, for each permuted target site information group, the allocated site information can be generated through the following steps:

[0062] First, historical order information from each site can be distributed to the various target site information groups within the sorted target site information group according to a preset ratio. This distribution can involve adding the site's historical order information to the site's historical order information included in the sorted target site information.

[0063] As an example, the preset allocation ratio can be an even distribution of the target site information after each arrangement.

[0064] Then, the loss value corresponding to each arranged target site information can be determined by using a preset loss function.

[0065] As an example, the loss function may include, but is not limited to, at least one of the following: maximum likelihood loss function, normalized exponential function, multi-class loss function, etc.

[0066] Subsequently, if the loss value exceeds the preset loss threshold, the allocation ratio of the historical order information of each ranked target site in the ranked target site information group is adjusted to determine the loss value again. A loss value exceeding the preset loss threshold indicates that the allocation scheme is unreasonable.

[0067] Finally, if the loss value is less than or equal to the preset loss threshold, the allocation ratio of the site's historical order information corresponding to that loss value can be determined as the allocated site information.

[0068] Step two involves determining the simulated operation information for each allocated site within each allocated site information group in the aforementioned set of allocated site information groups, thus obtaining a set of simulated operation information groups. This simulated operation information for each allocated site can be determined using a preset simulation operation model. Here, the site's order information can be input into the simulation operation model to generate the site's internal turnaround time, which is then used as the simulated operation information. Additionally, a preset navigation interface can be called to determine the total delivery distance between the addresses of each order included in each allocated site information and the site, and this distance is then added to the simulated operation information.

[0069] Optionally, a training dataset can be constructed by selecting historical daily order volume, delivery vehicle frequency, number of delivery personnel, delivery start time, total order weight, and total order volume as features for a specific station, and labeling them with the station's daily turnover time. This dataset can then be used to train the simulation operation model.

[0070] As an example, the simulation operation model may include, but is not limited to, at least one of the following: support vector machine regression model, multiple linear regression model, etc.

[0071] The third step is to identify the station simulation operation information groups that meet the preset station turnover conditions from the aforementioned set of station simulation operation information groups as station reorganization information. The preset station turnover conditions may include: the in-station turnover time included in the station simulation operation information is less than a preset turnover time threshold.

[0072] Step 203: Perform logistics simulation tests on each site reorganization information in the site reorganization information set to generate simulated order fulfillment timeliness rate, and obtain the simulated order fulfillment timeliness rate set.

[0073] In some embodiments, the aforementioned executing entity can perform logistics simulation tests on each site reorganization information in the aforementioned site reorganization information set to generate a simulated order fulfillment timeliness rate, thereby obtaining a simulated order fulfillment timeliness rate set. Specifically, each site reorganization information can be input into a preset simulation test model to generate the simulated order fulfillment timeliness rate.

[0074] As an example, the simulation test model may include, but is not limited to, at least one of the following: linear regression model, ridge regression model, partial least squares regression model, etc.

[0075] In some optional implementations of certain embodiments, each site reorganization information in the aforementioned site reorganization information set may include: a set of reorganized site delivery order information and reorganized site delivery area information. Furthermore, the execution entity performing logistics simulation tests on each site reorganization information in the aforementioned site reorganization information set to generate a simulated order fulfillment timeliness rate may include the following steps:

[0076] The first step involves planning delivery routes for the delivery areas corresponding to the reorganized site delivery area information included in the aforementioned site reorganization information, based on preset order timeliness conditions. Each piece of reorganization information in the aforementioned site reorganization information set can include: a set of reorganized site delivery order information and reorganized site delivery area information. The order timeliness condition can be an order delivery duration range (e.g., 0-1 day), indicating that the order delivery time should be within this range. The reorganized site delivery area information can represent the area that the reorganized site needs to deliver to, including the original delivery area and the delivery area allocated to that site. Next, a preset route planning algorithm is used to plan delivery routes for the order addresses of each reorganized site delivery order information within the delivery area, to obtain the reorganized site delivery route with the shortest total delivery time.

[0077] As an example, delivery route planning may include, but is not limited to, at least one of the following: A* algorithm, RRT (Rapidly-Exploring Random Tree) algorithm, DWA (Dynamic Window Approach) algorithm, etc.

[0078] Optionally, the aforementioned implementing entity may also perform delivery route planning for the delivery areas corresponding to the reorganized site delivery area information included in the aforementioned site reorganization information through the following steps:

[0079] Step 1: Determine the regions of interest (ROIs) for each delivery order in the reorganized site delivery order information set, resulting in ROI identifier groups. Each ROI can be a polygon representing the order address on a map. Each ROI identifier uniquely identifies a single ROI.

[0080] As an example, such as Figure 3 As shown. The reorganized site delivery route can be the route taken from the site to each AOI (Area of ​​Interest) within the delivery area (e.g., Route 001).

[0081] Step two: For each interest area identifier in the above interest area identifier group, set up a corresponding fulfillment timeliness access window for the reorganized site delivery order information. The reorganized site delivery order information corresponding to the interest area identifier can be order information with delivery addresses located within the interest area. The fulfillment timeliness access window for the reorganized site delivery order information can be the order's delivery timeliness. For example, the delivery timeliness can be within 1 day, within 2 days, etc.

[0082] Step 3: Based on the aforementioned interest area identifier groups and the corresponding fulfillment timeliness access windows for each interest area identifier, and under the condition of a preset delivery speed, route planning is performed for each interest area to obtain the reorganized site delivery route. The objective function can be to maximize the fulfillment timeliness access window and minimize the total delivery time, thus obtaining the reorganized site delivery route. Maximizing the fulfillment timeliness access window can be achieved by maximizing the number of orders delivered within the delivery time. Minimizing the total delivery time can be achieved by minimizing the time required for the reorganized site delivery route. The preset delivery speed can be the preset average speed of the courier.

[0083] The second step involves performing simulated delivery processing on the delivery order information of each reorganized site within the reorganized site delivery order information set, based on the aforementioned reorganized site delivery routes, to generate a simulated on-time order fulfillment rate. Specifically, a pre-set simulation test model can be used to perform simulated delivery processing on the delivery order information of each reorganized site within the reorganized site delivery order information set, thereby generating the simulated on-time order fulfillment rate.

[0084] As an example, the simulation test model may include, but is not limited to, at least one of the following: VRP (Vehicle Routing Problem) model, regression model, etc.

[0085] Step 204: Using the simulated order fulfillment timeliness set, sort the site reorganization information in the site reorganization information set to generate a logistics site reorganization information sequence.

[0086] In some embodiments, the executing entity can use the simulated order fulfillment timeliness rate set to sort the site reorganization information in the site reorganization information set to generate a logistics site reorganization information sequence. The preset fulfillment timeliness rate condition can be that the simulated order fulfillment timeliness rate is greater than a preset fulfillment timeliness rate threshold. The sorting process can involve sorting the site reorganization information that meets the condition according to the simulated order fulfillment timeliness rate. Then, the sorted site reorganization information and the simulated order fulfillment timeliness rate can be determined as the logistics site reorganization information, resulting in a logistics site reorganization information sequence.

[0087] Optionally, the aforementioned implementing entity may also send the aforementioned logistics site reorganization information sequence to a display terminal for display.

[0088] The above embodiments of this disclosure have the following beneficial effects: the logistics site reorganization information generation method of some embodiments of this disclosure can improve the order delivery efficiency of the merged surrounding sites. Specifically, the reason for the reduced order delivery efficiency of the merged surrounding sites is that the order resources of the split sites are not allocated in a fine-grained manner. After the resources of the split sites are allocated to the surrounding sites, the resource allocation of the surrounding sites becomes uneven. Based on this, the logistics site reorganization information generation method of some embodiments of this disclosure firstly filters a preset logistics site information set to obtain a filtered site information group. Through the filtering process, logistics sites that do not meet the splitting requirements can be removed. Then, the filtered site information in the above-mentioned filtered site information group is combined to generate a site reorganization information set. Through the combination process, it can be used to generate a resource allocation scheme for allocating the resources of the split sites to other surrounding sites, i.e., site reorganization information. Afterwards, logistics simulation tests are performed on each site reorganization information in the above-mentioned site reorganization information set to generate a simulated order fulfillment timeliness rate, resulting in a simulated order fulfillment timeliness rate set. By obtaining simulated order fulfillment on-time rates through simulation testing, the actual impact of different resource allocation schemes on the order delivery efficiency of surrounding stations can be controlled in a fine-grained manner. Finally, using the aforementioned simulated order fulfillment on-time rate set, the station reorganization information in the aforementioned station reorganization information set is sorted to generate a logistics station reorganization information sequence. This allows for the sorting of various resource allocation schemes that meet preset fulfillment on-time rate conditions, thus generating a logistics station reorganization information sequence. This facilitates the selection of a reasonable order allocation scheme that ensures the order delivery efficiency of surrounding stations based on the sorted logistics station reorganization information. Therefore, fine-grained allocation of resources for station splitting is achieved, resulting in a balanced resource allocation among the merged surrounding stations. Consequently, the order delivery efficiency of the merged surrounding stations is improved.

[0089] Further reference Figure 4 The diagram illustrates a flow 400 of another embodiment of a method for generating logistics site reorganization information. This method includes the following steps:

[0090] Step 401: Filter the preset logistics station information set to obtain the filtered station information group.

[0091] Step 402: Combine the information of each filtered site in the filtered site information group to generate a site reorganization information set.

[0092] Step 403: Perform logistics simulation tests on each site reorganization information in the site reorganization information set to generate simulated order fulfillment timeliness rate, and obtain the simulated order fulfillment timeliness rate set.

[0093] In some embodiments, the specific implementation of steps 401-403 and the resulting technical effects can be found in [reference needed]. Figure 2 Steps 201-203 in the corresponding embodiments will not be repeated here.

[0094] Step 404: The on-time performance rates of simulated orders that meet the preset on-time performance rate conditions and the corresponding site reorganization information are determined as the site reorganization information after testing, thus obtaining the site reorganization information set after testing.

[0095] In some embodiments, the entity executing the logistics site reorganization information generation method can determine the simulated order fulfillment timeliness rate that meets the preset fulfillment timeliness rate condition and the corresponding site reorganization information in the simulated order fulfillment timeliness rate set as the post-test site reorganization information set, thereby obtaining the post-test site reorganization information set. The post-test site reorganization information may include at least one of the following: split site identifiers, merged site identifier groups, merged site allocation areas, and simulated order fulfillment timeliness rates, etc. Here, each post-test site reorganization information set can represent an allocation scheme where, after splitting a site, the delivery area corresponding to that site is allocated to other sites.

[0096] Step 405: Sort the various post-test site reorganization information in the post-test site reorganization information set to generate a logistics site reorganization information sequence.

[0097] In some embodiments, the executing entity may sort the various post-test site reorganization information pieces in the post-test site reorganization information set to generate a logistics site reorganization information sequence. This sorting may be based on the on-time fulfillment rate of the simulated orders included in the post-test site reorganization information.

[0098] Optionally, the aforementioned implementing entity may also send the first logistics site reorganization information in the logistics site reorganization information sequence to the display terminal for display.

[0099] from Figure 4 It can be seen from this that, with Figure 2 Compared to the description of some corresponding embodiments, Figure 4 The data transmission method flow 400 in some corresponding embodiments embodies the steps of generating and sorting the tested site reorganization information. Therefore, the schemes described in these embodiments can further select logistics site reorganization information with balanced resource allocation. Simultaneously, sorting facilitates the selection of allocation schemes more suitable for site reorganization. This further avoids reducing order delivery efficiency at the merged surrounding sites.

[0100] Further reference Figure 5As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of a logistics site reorganization information generation device, which are similar to... Figure 2 Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0101] like Figure 5 As shown, a logistics site reorganization information generation device 500 in some embodiments includes: a screening processing unit 501, a combination processing unit 502, a simulation testing unit 503, and a sorting processing unit 504. The screening processing unit 501 is configured to screen a preset set of logistics site information to obtain a group of screened site information. The combination processing unit 502 is configured to combine each of the screened site information in the group of screened site information to generate a set of site reorganization information. The simulation testing unit 503 is configured to perform logistics simulation testing on each site reorganization information in the set of site reorganization information to generate a set of simulated order fulfillment times, resulting in a set of simulated order fulfillment times. The sorting processing unit 504 is configured to use the set of simulated order fulfillment times to sort the site reorganization information in the set of site reorganization information to generate a sequence of logistics site reorganization information.

[0102] In some optional implementations of the embodiments, the logistics site reorganization information generation device 500 further includes a sending unit, which can be configured to send the above-mentioned logistics site reorganization information sequence to a display terminal for display.

[0103] In some optional implementations of the embodiments, each piece of logistics station information in the above-mentioned logistics station information set may include a station productivity ratio. Furthermore, the screening processing unit 501 in the logistics station reorganization information generation device 500 may be further configured to: determine the logistics station information in the above-mentioned logistics station information set whose station productivity ratios meet preset productivity ratio conditions as screened station information, thereby obtaining a screened station information group.

[0104] In some optional implementations of the embodiments, each filtered site information in the filtered site information group may include: site address coordinates and a set of historical order information for the site. The combined processing unit 502 in the logistics site reorganization information generation device 500 may be further configured to: for each filtered site information in the filtered site information group, perform the following generation steps to generate site reorganization information: determine the filtered site information in the filtered site information group whose distance to the site address coordinates included in the filtered site information is within a preset range as target site information, thus obtaining a target site information group; based on the target site information group and the set of historical order information for the site included in the filtered site information, generate a set of simulated site operation information groups; and determine the simulated site operation information groups in the simulated site operation information group set that meet preset site turnover conditions as site reorganization information.

[0105] In some optional implementations of the embodiments, the combination processing unit 502 in the logistics site reorganization information generation device 500 can be further configured to: based on the target site information group, allocate and process the historical order information of each site in the site historical order information set included in the filtered site information to generate an allocated site information group set; determine the site simulation operation information corresponding to each allocated site information in each allocated site information group in the allocated site information group set to obtain a site simulation operation information group set.

[0106] In some optional implementations of the embodiments, each piece of site reorganization information in the aforementioned site reorganization information set may include: a set of reorganized site delivery order information and reorganized site delivery area information. Furthermore, the simulation testing unit 503 in the logistics site reorganization information generation device 500 may be further configured to: based on preset order timeliness conditions, perform delivery route planning on the delivery areas corresponding to the reorganized site delivery area information included in the aforementioned site reorganization information to obtain reorganized site delivery routes; and based on the aforementioned reorganized site delivery routes, perform simulated delivery processing on each reorganized site delivery order information in the reorganized site delivery order information set included in the aforementioned reorganized site information to generate simulated order fulfillment timeliness rates.

[0107] In some optional implementations of the embodiments, the sorting processing unit 504 in the logistics site reorganization information generation device 500 can be further configured to: determine the simulated order fulfillment timeliness rate that meets the preset fulfillment timeliness rate condition and the corresponding site reorganization information in the above-mentioned simulated order fulfillment timeliness rate set as post-test site reorganization information, and obtain a post-test site reorganization information set; sort each post-test site reorganization information in the above-mentioned post-test site reorganization information set to generate a logistics site reorganization information sequence.

[0108] It is understandable that the units described in the device 500 are related to the reference. Figure 2 The steps in the described method correspond accordingly. Therefore, the operations, features, and beneficial effects described above for the method also apply to the device 500 and the units contained therein, and will not be repeated here.

[0109] The following is for reference. Figure 6 It shows a schematic diagram of the structure of an electronic device 600 suitable for implementing some embodiments of the present disclosure. Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0110] like Figure 6 As shown, electronic device 600 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 601, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 602 or a program loaded from storage device 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for the operation of electronic device 600. Processing device 601, ROM 602, and RAM 603 are interconnected via bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0111] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; and communication devices 609. Communication device 609 allows electronic device 600 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 An electronic device 600 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 6 Each box shown can represent a device or multiple devices as needed.

[0112] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a storage device 608, or installed from a ROM 602. When the computer program is executed by the processing device 601, it performs the functions defined above in the methods of some embodiments of this disclosure.

[0113] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0114] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0115] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to: filter a preset set of logistics station information to obtain a filtered station information group; combine the filtered station information in the filtered station information group to generate a station reorganization information set; perform logistics simulation testing on each station reorganization information in the station reorganization information set to generate a simulated order fulfillment timeliness rate, obtaining a simulated order fulfillment timeliness rate set; and use the simulated order fulfillment timeliness rate set to sort the station reorganization information in the station reorganization information set to generate a logistics station reorganization information sequence.

[0116] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0117] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0118] The units described in some embodiments of this disclosure can be implemented in software or hardware. The described units can also be housed in a processor; for example, a processor may be described as including a filtering processing unit, a combination processing unit, a simulation testing unit, and a sorting processing unit. The names of these units do not necessarily limit the specific unit; for example, a filtering processing unit may also be described as "a unit that filters a preset set of logistics site information."

[0119] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

Claims

1. A method for generating logistics site reorganization information, comprising: The preset set of logistics station information is filtered to obtain the filtered station information group; The filtered site information in the filtered site information group is combined to generate a site reorganization information set; Logistics simulation tests are performed on each site reorganization information in the site reorganization information set to generate simulated order fulfillment timeliness rate, thus obtaining a simulated order fulfillment timeliness rate set; Using the simulated order fulfillment timeliness set, the site reorganization information in the site reorganization information set is sorted to generate a logistics site reorganization information sequence, including: The simulated order fulfillment on timeliness rates that meet the preset fulfillment on timeliness rate conditions and the corresponding site reorganization information are determined as the post-test site reorganization information set, thus obtaining the post-test site reorganization information set. The post-test site reorganization information in the post-test site reorganization information set is sorted to generate a logistics site reorganization information sequence.

2. The method according to claim 1, wherein, The method further includes: The reorganized information sequence of the logistics station is sent to the display terminal for display.

3. The method according to claim 1, wherein, The information for each logistics station in the logistics station information set includes the station's operational efficiency ratio; as well as The process of filtering the preset logistics station information set to obtain the filtered station information group includes: The logistics station information included in the logistics station information set that meets the preset production ratio conditions is identified as the filtered station information, thus obtaining the filtered station information group.

4. The method according to claim 1, wherein, Each filtered site information in the filtered site information group includes: site address coordinates and a set of historical order information for the site; and The step of combining the filtered site information in the filtered site information group to generate a site reorganization information set includes: For each filtered site information in the filtered site information group, the following generation steps are performed to generate site reorganization information: The target site information is determined by the distance between the site address coordinates included in the filtered site information group and the site address coordinates included in the filtered site information group, which is within a preset range. Based on the target site information group and the set of historical order information of the sites included in the filtered site information, a set of site simulation operation information groups is generated; The site simulation operation information group that meets the preset site turnover conditions in the site simulation operation information group set is determined as the site reorganization information.

5. The method according to claim 4, wherein, The step of generating a site simulation operation information set based on the target site information set and the site historical order information set included in the filtered site information includes: Based on the target site information group, the historical order information of each site in the site historical order information set included in the filtered site information is allocated to generate an allocated site information group set. The station simulation operation information corresponding to each allocated station information in each allocated station information group in the allocated station information group set is determined to obtain the station simulation operation information group set.

6. The method according to claim 1, wherein, Each site reorganization information in the site reorganization information set includes: a reorganized site delivery order information set and reorganized site delivery area information; and The step of performing logistics simulation tests on each site reorganization information in the site reorganization information set to generate simulated order fulfillment timeliness rates includes: Based on preset order timeliness conditions, delivery routes are planned for the delivery areas corresponding to the reorganized site delivery area information included in the site reorganization information to obtain the reorganized site delivery routes; Based on the reorganized site delivery routes, simulated delivery processing is performed on the delivery order information of each reorganized site in the reorganized site delivery order information set included in the reorganized site information to generate a simulated order fulfillment timeliness rate, including: The simulated order fulfillment on timeliness rates that meet the preset fulfillment on timeliness rate conditions and the corresponding site reorganization information are determined as the post-test site reorganization information set, thus obtaining the post-test site reorganization information set. The post-test site reorganization information in the post-test site reorganization information set is sorted to generate a logistics site reorganization information sequence.

7. A logistics site reorganization information generation device, comprising: The filtering processing unit is configured to filter a preset set of logistics site information to obtain a filtered site information group. The combination processing unit is configured to combine the individual filtered site information in the filtered site information group to generate a site reorganization information set. The simulation testing unit is configured to perform logistics simulation testing on each site reorganization information in the site reorganization information set to generate a simulated order fulfillment timeliness rate, thereby obtaining a set of simulated order fulfillment timeliness rates; A sorting processing unit is configured to sort the site reorganization information in the site reorganization information set using the simulated order fulfillment timeliness set, to generate a logistics site reorganization information sequence, including: The simulated order fulfillment on timeliness rates that meet the preset fulfillment on timeliness rate conditions and the corresponding site reorganization information are determined as the post-test site reorganization information set, thus obtaining the post-test site reorganization information set. The post-test site reorganization information in the post-test site reorganization information set is sorted to generate a logistics site reorganization information sequence.

8. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, wherein, When the program is executed by the processor, it implements the method as described in any one of claims 1-6.

10. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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