Distribution network time efficiency management method and device, equipment and storage medium

Abstract

The invention discloses a distribution network time efficiency management method, and the method comprises the steps: obtaining distribution network time efficiency data, which is used for obtaining a set of factors affecting the distribution network time efficiency and the distribution network time efficiency data; according to the set of factors influencing the timeliness of the distribution network, establishing a standard database of the timeliness of the distribution network; cleaning, supplementing and standardizing the time efficiency data of the distribution network to obtain standardized time efficiency data; comparing the standardized aging data with a preset aging standard in a distribution network aging standard database, and judging whether the processing time of the goods at the distribution network exceeds the preset aging standard or not; and generating a timeliness anomaly analysis report, and performing attribution analysis and classification on the abnormal timeliness data of the distribution network by using an automatic attribution model. According to the invention, the timeliness data can be accurately obtained, the timeliness data can be monitored in real time, the logistics timeliness delay link problem can be accurately positioned, and the timeliness of the distribution network is effectively managed and optimized.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a distribution point time management method, device, equipment and storage medium. Background Art

[0002] In the logistics industry, timeliness is one of the key indicators for measuring the quality of logistics services. As important nodes in the logistics transportation process, the operating efficiency and timeliness management of distribution centers and distribution outlets directly affect the smoothness of the entire logistics chain and customer satisfaction. However, the current traditional logistics timeliness methods have many shortcomings, such as inaccurate and non-real-time data collection, and the inability to accurately locate timeliness delay links, which makes it difficult for logistics companies to effectively manage and optimize timeliness, affecting the quality and competitiveness of logistics services.

[0003] In order to effectively and accurately collect data, monitor timeliness data in real time, accurately locate problems in logistics timeliness delays, and effectively manage and optimize timeliness, it is necessary to invent a distribution point timeliness management method, device, equipment and storage medium. Summary of the invention

[0004] The main purpose of the present invention is to solve the technical problems in the prior art that it is impossible to accurately collect data, monitor timeliness data in real time, accurately locate the problems of logistics timeliness delays, and effectively manage and optimize timeliness.

[0005] A first aspect of the present invention provides a distribution point time management method, the method comprising: Acquiring distribution point timeliness data, which is used to acquire a set of factors affecting the timeliness of distribution points and the timeliness data of distribution points; According to the set of factors affecting the timeliness of distribution outlets, establishing the timeliness standard database of distribution outlets; Clean, supplement and standardize the distribution outlets’ time-efficiency data to obtain standardized time-efficiency data; Compare the standardized timeliness data with the timeliness standards preset in the distribution network timeliness standard database to determine whether the processing time of the goods at the distribution network exceeds the preset timeliness standards; Generate time efficiency anomaly analysis reports and use automated attribution models to perform attribution analysis and classification on abnormal time efficiency data of distribution outlets.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the acquiring of distribution point timeliness data is used to acquire a set of factors affecting distribution point timeliness and the distribution point timeliness data, and includes: Analyze the handling process of goods at the distribution outlets and determine the factors that affect the handling time of goods at the distribution outlets; Obtain the factors affecting the processing time of the goods at the distribution outlets to form a set of factors affecting the timeliness of the distribution outlets; By connecting with the database system of the distribution network point, the timeliness data of the distribution network point is obtained.

[0007] Optionally, in a second implementation of the first aspect of the present invention, establishing the distribution network point timeliness standard database according to the set of factors affecting the distribution network point timeliness includes: Construct a label library of factors that affect the processing time of goods at the distribution outlets; According to the label library of factors influencing the processing timeliness of goods at the distribution outlets, clustering and dividing the data set of factors influencing the processing timeliness of goods at the distribution outlets to obtain a data clustering and dividing result; Based on the data clustering results, the data set of factors affecting the processing timeliness of goods at the distribution network is classified and marked, and the distribution network timeliness standard database is established.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the cleaning, supplementing and standardizing the distribution point time-efficiency data to obtain standardized time-efficiency data includes: Performing data cleaning on the timeliness data of the distribution outlets; Based on the characteristic data after data cleaning, the timeliness data of the distribution outlets is supplemented; Data standardization is performed based on the characteristic data after data supplementation to obtain standardized time-effectiveness data.

[0009] Optionally, in a fourth implementation of the first aspect of the present invention, comparing the standardized aging data with the aging standard preset in the distribution network aging standard database to determine whether the processing time of the goods at the distribution network exceeds the preset aging standard includes: In the distribution network timeliness standard database, the timeliness standards of the factors affecting the timeliness of the distribution network and the abnormality level of the timeliness of the distribution network are preset; Compare the standardized timeliness data with the timeliness standard of the factors affecting the timeliness of the distribution outlets to determine whether the timeliness of the distribution outlets is abnormal; If the standardized timeliness data exceeds the timeliness standard of the factors affecting the timeliness of the distribution outlets, it is determined that the processing time of the goods at the distribution outlets exceeds the preset timeliness standard; Confirm that the distribution point has time validity anomaly and generate a corresponding anomaly level.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, generating a time efficiency abnormality analysis report and performing attribution analysis and classification on abnormal time efficiency data of distribution outlets using an automated attribution model include: Obtaining the abnormal level result of the distribution point timeliness; Generate a timeliness abnormality analysis report based on the abnormality level results; Determine the abnormal cause of the timeliness anomaly through the automated attribution model corresponding to the timeliness anomaly; The reasons for the abnormal timeliness are classified to obtain the types of reasons for the abnormal timeliness of the distribution outlets.

[0011] Optionally, in a sixth implementation of the first aspect of the present invention, the factors affecting the processing time of goods at the distribution point include at least one of the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces but no incoming pieces, and the outgoing weight but no incoming pieces.

[0012] A second aspect of the present invention provides a distribution network point aging device, comprising: A module for obtaining distribution point timeliness data is used to obtain a set of factors affecting distribution point timeliness and the distribution point timeliness data; A module for establishing a timeliness standard database is used to establish the timeliness standard database of the distribution network points according to the set of factors affecting the timeliness of the distribution network points; The time-efficiency data processing module is used to clean, supplement and standardize the time-efficiency data of distribution outlets to obtain standardized time-efficiency data; The timeliness abnormality judgment module is used to compare the standardized timeliness data with the timeliness standards preset in the distribution network timeliness standard database to determine whether the processing time of the goods at the distribution network exceeds the preset timeliness standards; Generate time efficiency anomaly analysis report module, which is used to perform attribution analysis and classification on the abnormal time efficiency data of distribution outlets using the automated attribution model.

[0013] A third aspect of the present invention provides a computer device, the computer device comprising a memory and at least one processor, the memory storing instructions; The at least one processor calls the instructions in the memory to enable the computer device to execute the distribution point time management method as described above.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is loaded by a processor to execute the distribution point time management method as described above.

[0015] The distribution network time efficiency management method of the present invention can determine the factors that affect the time efficiency of the distribution network, and effectively and accurately monitor whether the time efficiency of the distribution network is in an abnormal state through the time efficiency data of the network, and can also accurately locate the logistics time efficiency delay link problems of the distribution network; it can monitor the logistics time efficiency more comprehensively, accurately and intelligently, discover and solve problems in time, improve logistics operation efficiency and service quality, and can also manage and optimize the distribution and network with abnormal time efficiency, so as to provide strong technical support and guarantee for logistics enterprises in the fierce market competition. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a distribution point time management method provided by an embodiment of the present invention; Figure 2 A flow chart of obtaining distribution point timeliness data in the distribution point timeliness management method provided in an embodiment of the present invention; Figure 3 A flow chart of establishing the distribution network timeliness standard database in the distribution network timeliness management method provided in an embodiment of the present invention; Figure 4 A flow chart of timeliness data processing in a distribution point timeliness management method provided by an embodiment of the present invention; Figure 5 A flow chart of determining time limit anomaly in a distribution point time limit management method provided by an embodiment of the present invention; Figure 6 A flow chart of attribution and classification of timeliness anomalies in the timeliness management method for distribution outlets provided in an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a distribution point time management device provided by an embodiment of the present invention; Figure 8 Another structural schematic diagram of the distribution network point time management device provided by the embodiment of the present invention; Fig. 9 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] A first aspect of the present invention provides a distribution point aging management method, the method comprising: obtaining distribution point aging data, which is used to obtain a set of factors affecting the aging of distribution points and the distribution point aging data; establishing the distribution point aging standard database according to the set of factors affecting the aging of distribution points; cleaning, supplementing and standardizing the distribution point aging data to obtain standardized aging data; comparing the standardized aging data with the aging standards preset in the distribution point aging standard database to determine whether the processing time of the goods at the distribution point exceeds the preset aging standards; generating an aging abnormality analysis report, and using an automated attribution model to perform attribution analysis and classification on the abnormal aging data of the distribution points.

[0018] The distribution network time efficiency management method of the present invention can determine the factors that affect the time efficiency of the distribution network, and effectively and accurately monitor whether the time efficiency of the distribution network is in an abnormal state through the time efficiency data of the network, and can also accurately locate the logistics time efficiency delay link problems of the distribution network; it can monitor the logistics time efficiency more comprehensively, accurately and intelligently, discover and solve problems in time, improve logistics operation efficiency and service quality, and can also manage and optimize the distribution and network with abnormal time efficiency, so as to provide strong technical support and guarantee for logistics enterprises in the fierce market competition.

[0019] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 The embodiment of the present invention provides a distribution point time management method, the method comprising: 101. Acquire distribution point timeliness data, which is used to acquire a set of factors affecting the timeliness of distribution points and the timeliness data of the distribution points; 102. Establishing the distribution network effectiveness standard database according to the set of factors affecting the distribution network effectiveness; 103. Clean, supplement and standardize the distribution outlets’ time-efficiency data to obtain standardized time-efficiency data; 104. Compare the standardized timeliness data with the timeliness standards preset in the distribution network timeliness standard database to determine whether the processing time of the goods at the distribution network exceeds the preset timeliness standards; 105. Generate time efficiency anomaly analysis report and use automated attribution model to perform attribution analysis and classification on abnormal time efficiency data of distribution outlets.

[0021] The distribution network time efficiency management method of the present invention can determine the factors that affect the time efficiency of the distribution network, and effectively and accurately monitor whether the time efficiency of the distribution network is in an abnormal state through the time efficiency data of the network, and can also accurately locate the logistics time efficiency delay link problems of the distribution network; it can monitor the logistics time efficiency more comprehensively, accurately and intelligently, discover and solve problems in time, improve logistics operation efficiency and service quality, and can also manage and optimize the distribution and network with abnormal time efficiency, so as to provide strong technical support and guarantee for logistics enterprises in the fierce market competition.

[0022] See also Figure 2 In a second embodiment of the distribution point time management method in an embodiment of the present invention, based on the above embodiment, the acquisition of distribution point time data is used to acquire a set of factors affecting the timeliness of distribution points and the timeliness data of distribution points, including: 201. Analyze the processing flow of goods at the distribution outlets and determine the factors that affect the processing time of goods at the distribution outlets; In some embodiments, in addition to comparing the estimated arrival time and the actual arrival time of the cargo, factors that can handle timeliness, such as real-time traffic conditions and weather conditions during the travel of the cargo transport vehicle, must also be considered.

[0023] 202. Obtain the factors affecting the processing time of the goods at the distribution outlets to form a set of factors affecting the timeliness of the distribution outlets; In some embodiments, the factors affecting the processing time of the goods at the distribution point include at least one of the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces but no incoming pieces, and the outgoing but no incoming weight.

[0024] 203. Acquire the timeliness data of the distribution outlets by connecting to the database system of the distribution outlets.

[0025] The embodiment of the present invention can not only comprehensively analyze the processing flow of outgoing goods at the distribution outlets, but also analyze external factors such as traffic conditions, the degree of road traffic congestion, which will affect the timely delivery of goods; weather conditions, bad weather may cause transportation delays. Internal factors such as process design, the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces without incoming pieces, the outgoing weight without incoming pieces, whether the processing flow is reasonable, and whether there is a bottleneck link; it can accurately determine the key factors affecting the timeliness of goods processing, thereby achieving the purpose of improving the overall operational efficiency of the distribution outlets.

[0026] See also Figure 3 In a third embodiment of the distribution network time management method in the embodiment of the present invention, the distribution network time standard database is established according to the set of factors affecting the distribution network time, including: 301. Construct a label library of factors that affect the processing time of goods at the distribution outlets; 302. Clustering the data set of factors affecting the processing timeliness of goods at the distribution outlets according to the label library of factors affecting the processing timeliness of goods at the distribution outlets to obtain a data clustering result; 303. Classify and mark the data set of factors that affect the processing timeliness of goods at the distribution network point based on the data clustering result, and establish the distribution network point timeliness standard database.

[0027] By establishing a distribution point time efficiency standard database, the embodiment of the present invention can systematically analyze and optimize the factors affecting the time efficiency of goods processing, and provide a comparison basis for later judging whether the time efficiency of the distribution point is abnormal, thereby improving processing efficiency, reducing error rates, reducing costs, improving customer satisfaction, and enhancing the competitiveness of the enterprise.

[0028] See also Figure 4 , the fourth embodiment of the distribution network time management method in the embodiment of the present invention, the cleaning, supplementation and standardization of the distribution network time data to obtain the standardized time data, including: 401. Cleaning the timeliness data of the distribution outlets; 402. Supplement the timeliness data of the distribution outlets based on the cleaned characteristic data; 403. Perform data standardization based on the feature data after data supplementation to obtain standardized time-effectiveness data.

[0029] The embodiment of the present invention can significantly improve the quality and availability of distribution point timeliness data by cleaning, supplementing and standardizing the distribution point timeliness data, improve the efficiency and accuracy of data processing, support advanced data analysis and decision support, and improve the overall operational efficiency and customer satisfaction of the distribution point.

[0030] See also Figure 5 In a fifth embodiment of the distribution network time management method in the embodiment of the present invention, the standardized time data is compared with the time standard preset in the distribution network time standard database to determine whether the processing time of the goods at the distribution network exceeds the preset time standard, including: 501. In the distribution network timeliness standard database, the timeliness standards of factors affecting the timeliness of distribution network and the abnormality levels of the timeliness of distribution network are preset; 502. Compare the standardized timeliness data with the timeliness standard of the factors affecting the timeliness of the distribution outlets to determine whether the timeliness of the distribution outlets is abnormal; 503. If the standardized timeliness data exceeds the timeliness standard of the factors affecting the timeliness of the distribution outlets, it is determined that the processing time of the goods at the distribution outlets exceeds the preset timeliness standard; 504. Confirm that the distribution point timeliness is abnormal, and generate a corresponding abnormality level.

[0031] The embodiment of the present invention can timely discover and solve the problem of cargo processing timeout by comparing the standardized timeliness data of distribution outlets with preset standards, and can predict the processing time of cargo in each link based on current timeliness data and historical timeliness data, and discover possible timeliness risks in advance.

[0032] See also Figure 6 In the sixth embodiment of the time efficiency management method for distribution outlets in the embodiments of the present invention, the generation of a time efficiency abnormality analysis report and the use of an automated attribution model to perform attribution analysis and classification on abnormal time efficiency data of distribution outlets include: 601. Obtain the abnormal level result of the distribution point time efficiency; 602. Generate a timeliness abnormality analysis report according to the abnormality level result; In some embodiments, the time-limit abnormality analysis report can show in detail the average processing time, the longest processing time and the shortest processing time of goods in each link of distribution, transit, outlets, etc. By comparing with the time limit standard, the links and key nodes with longer processing time can be found to provide data support for optimizing logistics processes and resource allocation.

[0033] In some embodiments, it is determined based on the timeliness anomaly analysis report that the average processing time of the sorting link of the distribution is long. The possible reason is that the equipment is aging or the personnel are not skilled in operation. The management can decide to update and upgrade the equipment of the distribution center or strengthen personnel training based on this.

[0034] 603. Determine the abnormal cause of the timeliness anomaly by using an automated attribution model corresponding to the timeliness anomaly; In some embodiments, correlation analysis can be used to identify potential relationships between causes of delays. For example, it can be found that certain areas often experience traffic congestion due to weather reasons in certain seasons, which in turn causes vehicle failures and transportation delays, providing a strong basis for management to develop targeted solutions.

[0035] 604. Classify the reasons for the abnormal timeliness to obtain the types of the reasons for the abnormal timeliness of the distribution outlets.

[0036] The embodiment of the present invention can generate a time-sensitive abnormality analysis report and use an automated attribution model to perform attribution analysis and classification on the abnormality level results of distribution outlets, thereby significantly improving the efficiency and accuracy of data processing and supporting real-time monitoring, problem diagnosis, resource optimization and decision making.

[0037] In some embodiments, the factors affecting the processing time of the goods at the distribution point include at least one of the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces but no incoming pieces, and the outgoing but no incoming weight.

[0038] The embodiments of the present invention can analyze the factors that affect the processing time of goods at distribution outlets, and can improve the goods processing efficiency of distribution outlets.

[0039] The above describes the time management method of the distribution network in the embodiment of the present invention. The following describes the time management device of the distribution network in the embodiment of the present invention. Figure 7 In one embodiment of the present invention, a distribution network point time management device includes: A module 701 for obtaining time-efficiency data of distribution outlets is used to obtain a set of factors affecting time-efficiency of distribution outlets and the time-efficiency data of distribution outlets; Establishing a timeliness standard database module 702, for establishing the distribution network point timeliness standard database according to the set of factors affecting the distribution network point timeliness; The time-efficiency data processing module 703 is used to clean, supplement and standardize the time-efficiency data of the distribution outlets to obtain standardized time-efficiency data; The time limit abnormality judgment module 704 is used to compare the standardized time limit data with the time limit standards preset in the distribution network time limit standard database to determine whether the processing time of the goods at the distribution network exceeds the preset time limit standards; The module 705 for generating time efficiency abnormality analysis report is used to perform attribution analysis and classification on the abnormal time efficiency data of the distribution outlets by using the automated attribution model.

[0040] The distribution network time efficiency management device of the present invention can determine the factors that affect the time efficiency of the distribution network, and effectively and accurately monitor whether the time efficiency of the distribution network is in an abnormal state through the time efficiency data of the network, and can also accurately locate the logistics time efficiency delay link problems of the distribution network; it can monitor the logistics time efficiency more comprehensively, accurately and intelligently, discover and solve problems in time, improve logistics operation efficiency and service quality, and can also manage and optimize the distribution and network with abnormal time efficiency, so as to provide strong technical support and guarantee for logistics enterprises in the fierce market competition.

[0041] See also Figure 8 Another embodiment of the distribution network point time management device in the embodiment of the present invention includes: A module 701 for obtaining time-efficiency data of distribution outlets is used to obtain a set of factors affecting time-efficiency of distribution outlets and the time-efficiency data of distribution outlets; In some embodiments, the module 701 for obtaining distribution point time efficiency data includes: An analysis unit 7011 is used to analyze the processing flow of goods at the distribution outlets and determine factors that affect the processing time of goods at the distribution outlets; In some embodiments, in addition to comparing the estimated arrival time and the actual arrival time of the cargo, factors that can handle timeliness, such as real-time traffic conditions and weather conditions during the travel of the cargo transport vehicle, must also be considered.

[0042] A forming unit 7012 is used to obtain the factors affecting the processing time efficiency of the goods at the distribution outlets to form a set of factors affecting the time efficiency of the distribution outlets; In some embodiments, the factors affecting the processing time of the goods at the distribution point include at least one of the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces but no incoming pieces, and the outgoing but no incoming weight.

[0043] The connection unit 7013 is used to obtain the timeliness data of the distribution network point by connecting with the database system of the distribution network point.

[0044] The embodiment of the present invention can not only comprehensively analyze the processing flow of outgoing goods at the distribution outlets, but also analyze external factors such as traffic conditions, the degree of road traffic congestion, which will affect the timely delivery of goods; weather conditions, bad weather may cause transportation delays. Internal factors such as process design, the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces without incoming pieces, the outgoing weight without incoming pieces, whether the processing flow is reasonable, and whether there is a bottleneck link; it can accurately determine the key factors affecting the timeliness of goods processing, thereby achieving the purpose of improving the overall operational efficiency of the distribution outlets.

[0045] Establishing a timeliness standard database module 702, for establishing the distribution network point timeliness standard database according to the set of factors affecting the distribution network point timeliness; In some embodiments, the module 702 for establishing a timeliness standard database includes: A construction unit 7021 is used to construct a label library of factors affecting the processing time of goods at the distribution outlet; A division unit 7022 is used to perform clustering division on a data set of factors affecting the processing timeliness of goods at the distribution outlets according to the label library of factors affecting the processing timeliness of goods at the distribution outlets, and obtain a data clustering division result; The establishing unit 7023 is used to classify and mark the data set of factors affecting the processing timeliness of goods at the distribution network point based on the data clustering result, and establish the distribution network point timeliness standard database.

[0046] By establishing a distribution point time efficiency standard database, the embodiment of the present invention can systematically analyze and optimize the factors affecting the time efficiency of goods processing, and provide a comparison basis for later judging whether the time efficiency of the distribution point is abnormal, thereby improving processing efficiency, reducing error rates, reducing costs, improving customer satisfaction, and enhancing the competitiveness of the enterprise.

[0047] The time-efficiency data processing module 703 is used to clean, supplement and standardize the time-efficiency data of the distribution outlets to obtain standardized time-efficiency data; In some embodiments, the time-sensitive data processing module 703 includes: A cleaning unit 7031 is used to clean the timeliness data of the distribution outlets; A supplementing unit 7032 is used to supplement the timeliness data of the distribution outlets based on the characteristic data after data cleaning; The standardization processing unit 7033 is used to perform data standardization processing based on the feature data after data supplementation to obtain standardized time-effectiveness data.

[0048] The embodiment of the present invention can significantly improve the quality and availability of distribution point timeliness data by cleaning, supplementing and standardizing the distribution point timeliness data, improve the efficiency and accuracy of data processing, support advanced data analysis and decision support, and improve the overall operational efficiency and customer satisfaction of the distribution point.

[0049] The time limit abnormality judgment module 704 is used to compare the standardized time limit data with the time limit standards preset in the distribution network time limit standard database to determine whether the processing time of the goods at the distribution network exceeds the preset time limit standards; In some embodiments, the timeliness abnormality judgment module 704 includes: A preset unit 7041 is used to preset the timeliness standards of the factors affecting the timeliness of the distribution outlets and the abnormal level of the timeliness of the distribution outlets in the distribution outlet timeliness standard database; A comparison unit 7042 is used to compare the standardized timeliness data with the timeliness standard of the factors affecting the timeliness of the distribution outlets to determine whether the timeliness of the distribution outlets is abnormal; The judging unit 7043 is configured to judge that the processing time of the goods at the distribution outlet exceeds the preset time limit standard if the standardized time limit data exceeds the time limit standard of the factors affecting the time limit of the distribution outlet; The confirmation unit 7044 is used to confirm the timeliness abnormality of the distribution point and generate a corresponding abnormality level.

[0050] The embodiment of the present invention can timely discover and solve the problem of cargo processing timeout by comparing the standardized timeliness data of distribution outlets with preset standards, and can predict the processing time of cargo in each link based on current timeliness data and historical timeliness data, and discover possible timeliness risks in advance.

[0051] The module 705 for generating time efficiency abnormality analysis report is used to perform attribution analysis and classification on the abnormal time efficiency data of the distribution outlets by using the automated attribution model.

[0052] In some embodiments, the module 705 for generating time-efficiency anomaly analysis report includes: An acquisition unit 7051 is used to acquire the abnormal level result of the distribution point time efficiency; A generating unit 7052 is used to generate a time-limited abnormality analysis report according to the abnormality level result; In some embodiments, the time-limit abnormality analysis report can show in detail the average processing time, the longest processing time and the shortest processing time of goods in each link of distribution, transit, outlets, etc. By comparing with the time limit standard, the links and key nodes with longer processing time can be found to provide data support for optimizing logistics processes and resource allocation.

[0053] In some embodiments, it is determined based on the timeliness anomaly analysis report that the average processing time of the sorting link of the distribution is long. The possible reason is that the equipment is aging or the personnel are not skilled in operation. The management can decide to update and upgrade the equipment of the distribution center or strengthen personnel training based on this.

[0054] The attribution unit 7053 is used to determine the abnormal cause of the timeliness abnormality through the automatic attribution model corresponding to the timeliness abnormality.

[0055] In some embodiments, correlation analysis can be used to identify potential relationships between causes of delays. For example, it can be found that certain areas often experience traffic congestion due to weather reasons in certain seasons, which in turn causes vehicle failures and transportation delays, providing a strong basis for management to develop targeted solutions.

[0056] The classification unit 7054 is used to classify the time limit abnormality reasons to obtain the time limit abnormality reason type of the distribution network point.

[0057] The embodiment of the present invention can generate a time-sensitive abnormality analysis report and use an automated attribution model to perform attribution analysis and classification on the abnormality level results of distribution outlets, thereby significantly improving the efficiency and accuracy of data processing and supporting real-time monitoring, problem diagnosis, resource optimization and decision making.

[0058] above Figure 7 and Figure 8 The distribution point time management method in the embodiment of the present invention is described in detail from the perspective of modular functional entities, and the electronic device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0059] Fig. 9 8 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device 800 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 810 (for example, one or more processors) and a memory 820, and one or more storage media 830 (for example, one or more mass storage devices) storing application programs 833 or data 832. Among them, the memory 820 and the storage medium 830 can be temporary storage or permanent storage. The program stored in the storage medium 830 may include one or more modules (not shown in the figure) for vehicle dispatching at a distribution center, and each module may include a series of instruction operations in the electronic device 800. Furthermore, the processor 810 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the electronic device 800.

[0060] The electronic device 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input and output interfaces 850, and / or one or more operating systems 831, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Fig. 9 The structure of the electronic device shown does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine some components, or arrange the components differently.

[0061] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the distribution center vehicle dispatching method.

[0062] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0063] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0064] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distribution point time management method, characterized in that: The method comprises: Acquiring distribution point timeliness data, which is used to acquire a set of factors affecting the timeliness of distribution points and the timeliness data of distribution points; According to the set of factors affecting the timeliness of distribution outlets, establishing the timeliness standard database of distribution outlets; Clean, supplement and standardize the distribution outlets’ time-efficiency data to obtain standardized time-efficiency data; Compare the standardized timeliness data with the timeliness standards preset in the distribution network timeliness standard database to determine whether the processing time of the goods at the distribution network exceeds the preset timeliness standards; Generate time efficiency anomaly analysis reports and use automated attribution models to perform attribution analysis and classification on abnormal time efficiency data of distribution outlets.

2. The time efficiency management method for distribution outlets according to claim 1 is characterized in that: The obtaining of distribution point timeliness data is used to obtain a set of factors affecting the timeliness of distribution points and the timeliness data of distribution points, including: Analyze the handling process of goods at the distribution outlets and determine the factors that affect the handling time of goods at the distribution outlets; Obtain the factors affecting the processing time of the goods at the distribution outlets to form a set of factors affecting the timeliness of the distribution outlets; By connecting with the database system of the distribution network point, the timeliness data of the distribution network point is obtained.

3. The time efficiency management method for distribution outlets according to claim 1 is characterized in that: The step of establishing the distribution network effectiveness standard database according to the set of factors affecting the distribution network effectiveness includes: Construct a label library of factors that affect the processing time of goods at the distribution outlets; According to the label library of factors influencing the processing timeliness of goods at the distribution outlets, clustering and dividing the data set of factors influencing the processing timeliness of goods at the distribution outlets to obtain a data clustering and dividing result; Based on the data clustering results, the data set of factors affecting the processing timeliness of goods at the distribution network is classified and marked, and the distribution network timeliness standard database is established.

4. The time efficiency management method for distribution outlets according to claim 1 is characterized in that: The cleaning, supplementation and standardization of the distribution point time-efficiency data to obtain standardized time-efficiency data includes: Performing data cleaning on the timeliness data of the distribution outlets; Based on the characteristic data after data cleaning, the timeliness data of the distribution outlets is supplemented; Data standardization is performed based on the characteristic data after data supplementation to obtain standardized time-effectiveness data.

5. The time efficiency management method for distribution outlets according to claim 2 is characterized in that: The step of comparing the standardized time efficiency data with the time efficiency standards preset in the distribution network time efficiency standard database to determine whether the processing time of the goods at the distribution network exceeds the preset time efficiency standards includes: In the distribution network timeliness standard database, the timeliness standards of the factors affecting the timeliness of the distribution network and the abnormality level of the timeliness of the distribution network are preset; Compare the standardized timeliness data with the timeliness standard of the factors affecting the timeliness of the distribution outlets to determine whether the timeliness of the distribution outlets is abnormal; If the standardized timeliness data exceeds the timeliness standard of the factors affecting the timeliness of the distribution outlets, it is determined that the processing time of the goods at the distribution outlets exceeds the preset timeliness standard; Confirm that the distribution point has time validity anomaly and generate a corresponding anomaly level.

6. The time efficiency management method for distribution outlets according to claim 5 is characterized in that: The generation of the abnormal time efficiency analysis report uses an automated attribution model to perform attribution analysis and classification on the abnormal time efficiency data of the distribution outlets, including: Obtaining the abnormal level result of the distribution point timeliness; Generate a timeliness abnormality analysis report based on the abnormality level results; Determine the abnormal cause of the timeliness anomaly through the automated attribution model corresponding to the timeliness anomaly; The reasons for the abnormal timeliness are classified to obtain the types of the reasons for the abnormal timeliness of the distribution outlets.

7. The time efficiency management method for distribution outlets according to claim 2 is characterized in that: The factors affecting the processing time of the goods at the distribution outlets include at least one of the number of incoming pieces, the number of outgoing pieces, the incoming weight, the outgoing weight, the number of outgoing pieces without incoming pieces, and the outgoing weight without incoming pieces.

8. A distribution network time management device, characterized in that: include: A module for obtaining distribution point timeliness data is used to obtain a set of factors affecting distribution point timeliness and the distribution point timeliness data; A module for establishing a timeliness standard database is used to establish the timeliness standard database of the distribution network points according to the set of factors affecting the timeliness of the distribution network points; The time-efficiency data processing module is used to clean, supplement and standardize the time-efficiency data of distribution outlets to obtain standardized time-efficiency data; The timeliness abnormality judgment module is used to compare the standardized timeliness data with the timeliness standards preset in the distribution network timeliness standard database to determine whether the processing time of the goods at the distribution network exceeds the preset timeliness standards; Generate time efficiency anomaly analysis report module, which is used to perform attribution analysis and classification on the abnormal time efficiency data of distribution outlets using the automated attribution model.

9. A computer device, characterized in that: The computer device includes a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the computer device to execute the distribution point time management method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to execute the distribution point time management method according to any one of claims 1-7.

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