Logistics aging evaluation method, device, equipment and medium
By collecting and storing logistics data in real time, calculating the standard timeliness of each link of logistics and comparing it with the actual timeliness, the problem of insufficient accuracy and timeliness of logistics timeliness assessment in the existing technology is solved, and real-time and accurate assessment of the timeliness of logistics services is achieved.
Patent Information
- Application Number
- CN202510107055.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-23
- Publication Date
- 2025-05-16
AI Technical Summary
In the prior art, logistics timeliness evaluation relies on manual recording and empirical judgment, and lacks real-time data support, resulting in insufficient accuracy and timeliness of evaluation results.
By collecting logistics operation data in real time and storing it in the logistics database, the standard logistics timeliness of each link of the logistics are calculated and compared with the actual timeliness to evaluate the timeliness of services. The method includes building a time limit determination model based on a preset rule engine, obtaining data in the logistics database, calculating the standard time limit for each link, and calculating the delay time based on the actual time limit to judge the timeliness of service.
Real-time and timely assessment of all aspects of logistics has been achieved, the accuracy and timeliness of assessment have been improved, and logistics companies have helped them identify delays and optimize their operational processes.
Smart Images
Figure CN120013385A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of logistics management, and in particular to a logistics timeliness evaluation method, device, equipment and medium. Background Art
[0002] In the modern logistics industry, service timeliness is an important indicator to measure the competitiveness of logistics companies and customer satisfaction. With the rapid development of e-commerce, customers' requirements for the timeliness of logistics services are constantly increasing, which forces logistics companies to optimize their operating processes to ensure timely delivery of goods. However, traditional logistics timeliness evaluation methods often rely on manual records and experience judgments, lack of real-time data support, resulting in insufficient accuracy and timeliness of evaluation results.
[0003] As the logistics industry continues to increase its requirements for service timeliness, traditional timeliness evaluation methods can no longer meet the needs of modern logistics. Through real-time data collection, the construction of standard timeliness models, and the application of intelligent evaluation methods, the service timeliness evaluation capabilities of all links in logistics can be effectively improved, thereby enhancing the market competitiveness of logistics companies. Summary of the invention
[0004] The main purpose of the present invention is to solve the problem that logistics timeliness evaluation in the prior art relies on manual records and experience judgment, lacks real-time data support, and leads to insufficient accuracy and timeliness of evaluation results.
[0005] The first aspect of the present invention provides a logistics timeliness evaluation method, comprising: Collect logistics operation data in real time and store the collected logistics operation data in the logistics database; Calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; Compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics to evaluate the timeliness of service in each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
[0006] Optionally, in a first implementation of the first aspect of the present invention, the real-time collection of logistics operation data and storing the collected logistics operation data in a logistics database includes: The logistics database collects logistics operation data in real time by connecting to the information entry ports of each link of logistics; the logistics operation data is used to calculate the standard logistics time efficiency of each link of logistics, and compare the standard logistics time efficiency of each link of logistics with the actual logistics time efficiency of each link of logistics to evaluate the service timeliness of each link of logistics; The logistics operation data include: pick-up point information, destination point information, distribution center information, logistics track data, pick-up time, delivery time and the actual time efficiency of each logistics link.
[0007] Optionally, in a second implementation of the first aspect of the present invention, the standard time limit for delivery of documents at the originating outlet includes: Construct a model for determining the standard timeliness of delivery at the originating outlet based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard delivery time of the originating outlet is calculated using the standard delivery time judgment model of the originating outlet; The actual delivery time of the originating outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the standard delivery time of the originating outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current delivery service of the originating outlet is not timely.
[0008] Optionally, in a third implementation of the first aspect of the present invention, the standard time limit for the originating distribution operation includes: Construct a standard timeliness determination model for the origination and distribution operation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the acquired information including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the originating distribution operation standard time determination model is used to calculate the originating distribution operation standard time efficiency; The actual time efficiency of the originating distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the originating distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current originating distribution operation service is not timely.
[0009] Optionally, in a fourth implementation of the first aspect of the present invention, the standard time limit for in-transit transportation includes: Construct a standard timeliness determination model for in-transit transportation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard time efficiency of in-transit transportation is calculated using the standard time efficiency determination model of in-transit transportation; Construct a transportation time prediction and correction model; Acquire historical transportation data, real-time traffic conditions and weather conditions, and use the acquired historical transportation data, real-time traffic conditions and weather conditions to train a transportation time efficiency prediction correction model to obtain a trained transportation time efficiency prediction correction model; The trained transportation time prediction correction model is used to correct the standard transportation time in transit, and the corrected standard transportation time in transit is obtained; The actual time efficiency of in-transit transportation is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard time efficiency of in-transit transportation. When the delay duration is greater than or equal to the preset value, it is judged that the current in-transit transportation service is not timely.
[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the standard time limit for the destination allocation operation includes: Based on different preset rule engines, different timeliness determination models for target allocation operation standards are constructed; A hierarchical decision tree model is built based on different purpose distribution operation standard timeliness judgment models, and branch decisions are made according to site types and business rules to calculate the purpose distribution operation standard timeliness; The actual time efficiency of the destination distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the destination distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current destination distribution service is not timely.
[0011] Optionally, in a sixth implementation of the first aspect of the present invention, the standard time limit for delivery to the destination outlet includes: Based on different preset rule engines, different delivery standard timeliness determination models for different destination outlets are built; A hierarchical decision tree model is constructed based on the different destination outlet delivery standard timeliness judgment models, and the destination outlet delivery standard timeliness is calculated according to the site type; Construct a customer receipt behavior analysis model, and use the trained customer receipt behavior analysis model to estimate the receipt time range, and modify the destination outlet delivery standard time based on the estimated receipt time range to obtain the modified outlet delivery standard time; The actual delivery time of the destination outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard delivery time of the outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current destination outlet delivery service is not timely.
[0012] A second aspect of the present invention provides a logistics timeliness evaluation device, comprising: The data collection module is used to collect logistics operation data in real time and store the collected logistics operation data in the logistics database; The standard logistics time efficiency calculation module is used to calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; The service timeliness evaluation module is used to compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics, and to evaluate the service timeliness of each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
[0013] Optionally, in a first implementation of the second aspect of the present invention, the data acquisition module includes: The logistics database collects logistics operation data in real time by connecting to the information entry ports of each link of logistics; the logistics operation data is used to calculate the standard logistics time efficiency of each link of logistics, and compare the standard logistics time efficiency of each link of logistics with the actual logistics time efficiency of each link of logistics to evaluate the service timeliness of each link of logistics; The logistics operation data include: pick-up point information, destination point information, distribution center information, logistics track data, pick-up time, delivery time and the actual time efficiency of each logistics link.
[0014] Optionally, in a second implementation of the second aspect of the present invention, the standard logistics time efficiency calculation module includes: Construct a model for determining the standard timeliness of delivery at the originating outlet based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard delivery time of the originating outlet is calculated using the standard delivery time judgment model of the originating outlet; The actual delivery time of the originating outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the standard delivery time of the originating outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current delivery service of the originating outlet is not timely.
[0015] Optionally, in a third implementation of the second aspect of the present invention, the standard time limit for the originating distribution operation includes: Construct a standard timeliness determination model for the origination and distribution operation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the acquired information including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the originating distribution operation standard time determination model is used to calculate the originating distribution operation standard time efficiency; The actual time efficiency of the originating distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the originating distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current originating distribution operation service is not timely.
[0016] Optionally, in a fourth implementation of the second aspect of the present invention, the standard time limit for in-transit transportation includes: Construct a standard timeliness determination model for in-transit transportation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard time efficiency of in-transit transportation is calculated using the standard time efficiency determination model of in-transit transportation; Construct a transportation time prediction and correction model; Acquire historical transportation data, real-time traffic conditions and weather conditions, and use the acquired historical transportation data, real-time traffic conditions and weather conditions to train a transportation time efficiency prediction correction model to obtain a trained transportation time efficiency prediction correction model; The trained transportation time prediction correction model is used to correct the standard transportation time in transit, and the corrected standard transportation time in transit is obtained; The actual time efficiency of in-transit transportation is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard time efficiency of in-transit transportation. When the delay duration is greater than or equal to the preset value, it is judged that the current in-transit transportation service is not timely.
[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the standard time limit for the destination allocation operation includes: Based on different preset rule engines, different timeliness determination models for target allocation operation standards are constructed; A hierarchical decision tree model is built based on different purpose distribution operation standard timeliness judgment models, and branch decisions are made according to site types and business rules to calculate the purpose distribution operation standard timeliness; The actual time efficiency of the destination distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the destination distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current destination distribution service is not timely.
[0018] Optionally, in a sixth implementation of the second aspect of the present invention, the standard time limit for delivery to the destination network point includes: Based on different preset rule engines, different delivery standard timeliness determination models for different destination outlets are built; A hierarchical decision tree model is constructed based on the different destination outlet delivery standard timeliness judgment models, and the destination outlet delivery standard timeliness is calculated according to the site type; Construct a customer receipt behavior analysis model, and use the trained customer receipt behavior analysis model to estimate the receipt time range, and modify the destination outlet delivery standard time based on the estimated receipt time range to obtain the modified outlet delivery standard time; The actual delivery time of the destination outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard delivery time of the outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current destination outlet delivery service is not timely.
[0019] A third aspect of the present invention provides an electronic device, the electronic device comprising a memory and at least one processor, the memory storing instructions; The at least one processor calls the instructions in the memory so that the electronic device executes each step of the logistics timeliness evaluation method as described above.
[0020] A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored thereon, and the instructions, when executed by a processor, implement the various steps of the logistics timeliness evaluation method as described above.
[0021] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can timely identify the delays in each link through real-time data collection and standard time calculation, helping logistics companies to take prompt measures and improve the timeliness of the overall service.
[0022] 2. The present invention forms a unified evaluation standard by clarifying the standard timeliness of each link, thereby improving the objectivity and comparability of timeliness evaluation and facilitating comparison and analysis between different logistics companies; 3. The present invention can identify bottlenecks and inefficient links through real-time monitoring and evaluation of each link, thereby optimizing the process and improving overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 This is a first flow chart of the logistics timeliness evaluation method provided in an embodiment of the present invention.
[0024] Figure 2 This is a second flow chart of the logistics timeliness evaluation method provided in an embodiment of the present invention.
[0025] Figure 3 A schematic diagram of the structure of a logistics timeliness evaluation device provided in an embodiment of the present invention.
[0026] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0027] The embodiment of the present invention provides a logistics timeliness evaluation method, device, equipment and medium, which collects logistics operation data in real time and stores the collected logistics operation data in a logistics database; Calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; Compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics to evaluate the timeliness of service in each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard delivery time of the originating outlet, the standard operation time of the originating distribution, the standard operation time of in-transit transportation, the standard operation time of the destination distribution and the standard delivery time of the destination outlet are respectively compared with the actual delivery time of the originating outlet, the actual operation time of the originating distribution, the actual operation time of in-transit transportation, the actual operation time of the destination distribution and the actual delivery time of the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery of the destination outlet. The present invention solves the problem that the logistics timeliness evaluation in the prior art relies on manual records and experience judgments, lacks real-time data support, and leads to insufficient accuracy and timeliness of the evaluation results.
[0028] 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.
[0029] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 The first embodiment of the logistics timeliness evaluation method in the embodiment of the present invention includes: 101. Collect logistics operation data in real time and store the collected logistics operation data in the logistics database; In this embodiment, a logistics database is constructed, and the logistics database collects logistics operation data in real time by connecting to the information entry ports of each link of logistics. This embodiment collects and updates data in real time to ensure data timeliness and integrity; wherein, the information entry ports of each link of logistics include collection equipment and distribution scanning systems, etc.; wherein, the logistics operation data include: collection point information, destination point information, distribution center information, logistics track scanning records, point-distribution time table, life cycle-to-point clearance frequency table and other massive logistics operation data; wherein, the distribution center information includes the name, code and geographical location of the distribution center, etc.; the logistics track scanning track record includes scanning time, scanning site, scanning type, etc.
[0030] The logistics operation data is used to calculate the standard logistics time efficiency of each link in the logistics, and compare the standard logistics time efficiency of each link in the logistics with the actual logistics time efficiency of each link in the logistics, so as to evaluate the service timeliness of each link in the logistics.
[0031] 102. Calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; In this embodiment, the standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of the delivery of the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
[0032] 103. Compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics to evaluate the timeliness of service in each link of logistics; In this embodiment, the standard time limit for delivery of the originating outlet includes: Construct a model for determining the standard timeliness of delivery at the originating outlet based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard delivery time of the originating outlet is calculated using the standard delivery time judgment model of the originating outlet; The actual delivery time of the originating outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the standard delivery time of the originating outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current delivery service of the originating outlet is not timely.
[0033] The standard time limit for the originating distribution operation includes: Construct a standard timeliness determination model for the origination and distribution operation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the acquired information including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the originating distribution operation standard time determination model is used to calculate the originating distribution operation standard time efficiency; The actual time efficiency of the originating distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the originating distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current originating distribution operation service is not timely.
[0034] The standard time limit for in-transit transportation includes: Construct a standard timeliness determination model for in-transit transportation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard time efficiency of in-transit transportation is calculated using the standard time efficiency determination model of in-transit transportation; Construct a transportation time prediction and correction model; Acquire historical transportation data, real-time traffic conditions and weather conditions, and use the acquired historical transportation data, real-time traffic conditions and weather conditions to train a transportation time efficiency prediction correction model to obtain a trained transportation time efficiency prediction correction model; The trained transportation time prediction correction model is used to correct the standard transportation time in transit, and the corrected standard transportation time in transit is obtained; The actual time efficiency of in-transit transportation is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard time efficiency of in-transit transportation. When the delay duration is greater than or equal to the preset value, it is judged that the current in-transit transportation service is not timely.
[0035] The standard time limit for the purpose allocation operation includes: Based on different preset rule engines, different timeliness determination models for target allocation operation standards are constructed; A hierarchical decision tree model is built based on different purpose distribution operation standard timeliness judgment models, and branch decisions are made according to site types and business rules to calculate the purpose distribution operation standard timeliness; The actual time efficiency of the destination distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the destination distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current destination distribution service is not timely.
[0036] The standard delivery time for the destination outlets includes: Based on different preset rule engines, different delivery standard timeliness determination models for different destination outlets are built; A hierarchical decision tree model is constructed based on the different destination outlet delivery standard timeliness judgment models, and the destination outlet delivery standard timeliness is calculated according to the site type; Construct a customer receipt behavior analysis model, and use the trained customer receipt behavior analysis model to estimate the receipt time range, and modify the destination outlet delivery standard time based on the estimated receipt time range to obtain the modified outlet delivery standard time; The actual delivery time of the destination outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard delivery time of the outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current destination outlet delivery service is not timely.
[0037] This embodiment not only enables customers to understand the logistics status more clearly through timely services and transparent timeliness evaluation, thereby enhancing customer trust and satisfaction and improving customer stickiness; at the same time, enterprises can also timely discover potential operational risks through real-time monitoring and evaluation, helping enterprises to take measures in advance and reduce economic losses caused by untimely services.
[0038] See also Figure 2 The second embodiment of the logistics timeliness evaluation method in the embodiment of the present invention includes: 201. Collect logistics operation data in real time and store the collected logistics operation data in the logistics database; 202. Calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; 203. Compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics to evaluate the timeliness of service in each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
[0039] In this embodiment, the standard time limit for delivery of the originating outlet includes: By extracting the first scanning point of the pickup as the originating point, combined with the pickup date, the point-distribution time table is queried based on the five parameters of the originating point, the originating distribution, the destination distribution, the distribution operation time mark, and the pickup time, and the specified delivery time is accurately determined, where the specified delivery date = pickup date + specified delivery date - 1 day, and the specified delivery time is concatenated. The actual delivery time is locked in the first scan of the first distribution, corresponding to the earliest storage time when scanSite is a transfer station and lb=3, and the delivery time is calculated, the delivery time = actual delivery time - first pickup time; delay time, delay time = actual delivery time - specified delivery time, delay time mark display, according to the time unit rule: round up to the whole minute within 1 hour, and keep 1 decimal place for more than or equal to 1 hour and round off the tail for formatting output.
[0040] A timeliness determination model based on a rule engine can be built by inputting the above five key parameters. The model will match the rules of the pre-stored timeliness table and the time calculation logic, and output the timeliness results and delay marks to adapt to various business scenarios of logistics outlets.
[0041] The standard time limit for the initial distribution operation includes: Similar to the standard delivery time of outlets, use the same 5 parameters to check the outlet-distribution time table to get the specified transfer-out time. The actual transfer-out time locates the earliest recorded warehousing time of the initial distribution and the first loading scan, and calculates the operation time. Operation time = actual transfer-out time - actual delivery time. Delay time = actual transfer-out time - specified transfer-out time. Delays are displayed in red and standardized time units are displayed.
[0042] Based on the constraints of logistics flow sequence, the rule engine model is expanded, the originating outlets and distribution operations are associated, the distribution links are independently modeled, and the overall timeliness and consistency management is strengthened.
[0043] The standard time limit for in-transit transportation includes: By querying the outlet-distribution time table with five key parameters, the "arrival time" of the last route is taken as the specified arrival time, and the first scanning time of the destination distribution is taken as the actual arrival time. The transportation time = actual arrival time - actual transfer time, delay time = actual arrival time - specified arrival time are calculated. Delays are displayed in red and handled in a unified time unit.
[0044] Build a transportation time prediction and correction model, combine historical transportation data statistical analysis with real-time road conditions, weather and other external factors to dynamically adjust the required arrival time, improve time accuracy, and adapt to complex transportation environments.
[0045] The standard time limit for the purpose of distribution operation includes: In this embodiment, the transfer time is determined in two cases. One is the regular distribution to the outlet or grid warehouse. According to the scanned transfer record, the distribution and the lower-level site code and the storage time are combined to check the life cycle-to-outlet clearance frequency table according to the frequency logic to take the latest clearance time; the other is the special scene in Shenzhen sent to the sub-outlet for similar processing. The actual transfer time takes the earliest storage time according to the corresponding scan type and site rules, calculates the operation time, delay time (delay display rules are the same as before), and standardizes the time unit.
[0046] According to the flow characteristics of sites at different levels, a hierarchical decision tree model is designed to make branch decisions based on site type and business rules, accurately locate the specified transfer time, and adapt to the complex distribution-branch business architecture.
[0047] The standard time limit for delivery to the destination outlets includes: the prescribed signing time is determined according to the earliest assessment signing time node of the frequency of the destination outlet corresponding to the transfer (or the same applies to the special sub-outlets in Shenzhen); the actual signing time is the earliest "10 (signing)" scanning and warehousing time; the delivery time = actual signing time - actual transfer time, delay time = actual signing time - prescribed signing time; delays are displayed in red, and the time unit rules are adapted.
[0048] Incorporate the customer's signing behavior analysis model, estimate the signing time range based on factors such as the receiving area and customer type, assist in setting the signing time, and improve delivery time control.
[0049] 204. Display the standard logistics time efficiency of each logistics link, the actual time efficiency of each logistics link and the marked delayed logistics link through a visual interface; In this embodiment, a visualization interface is constructed. On the logistics track details page, each link of the logistics, including: delivery at the originating outlet, originating distribution operation, in-transit transportation, destination distribution operation and destination outlet delivery, clearly displays the corresponding outlet / distribution name code, specified time, actual time and duration data in sequence. The delayed link is marked with "actual time" in red according to the rules and is accompanied by a striking "delay" label. Intuitive charts are used, including: bar charts comparing regulations and actuals, line charts showing timeliness trends and other auxiliary presentations, so that users can quickly understand the logistics timeliness status.
[0050] This embodiment can identify bottlenecks and inefficient links through real-time monitoring and evaluation of each link, thereby optimizing the process and improving overall operational efficiency.
[0051] The above describes the logistics timeliness evaluation method in the embodiment of the present invention. The following describes the logistics timeliness evaluation device in the embodiment of the present invention. Figure 3 In one embodiment of the present invention, a logistics timeliness evaluation device includes: The data collection module 301 is used to collect logistics operation data in real time and store the collected logistics operation data in the logistics database; In this embodiment, the data acquisition module 301 includes: A logistics database is constructed. The logistics database collects logistics operation data in real time by connecting to the information entry ports of each link of logistics. This embodiment collects and updates data in real time to ensure data timeliness and integrity; wherein, the information entry ports of each link of logistics include pickup equipment and distribution scanning systems, etc.; wherein, the logistics operation data include: pickup point information, destination point information, distribution center information, logistics track scanning records, point-distribution time table, life cycle-to-point clearance frequency table and other massive logistics operation data; wherein, the distribution center information includes the name, code and geographical location of the distribution center, etc.; the logistics track scanning track record includes scanning time, scanning site, scanning type, etc.
[0052] The logistics operation data is used to calculate the standard logistics time efficiency of each link in the logistics, and compare the standard logistics time efficiency of each link in the logistics with the actual logistics time efficiency of each link in the logistics, so as to evaluate the service timeliness of each link in the logistics.
[0053] A standard logistics time efficiency calculation module 302 is used to calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; In this embodiment, the standard logistics time efficiency calculation module 302 includes: The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
[0054] The service timeliness evaluation module 303 is used to compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics, so as to evaluate the service timeliness of each link of logistics; In this embodiment, the service timeliness evaluation module 303 includes: The originating point delivery service evaluation submodule 3031 includes: Construct a model for determining the standard timeliness of delivery at the originating outlet based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard delivery time of the originating outlet is calculated using the standard delivery time judgment model of the originating outlet; The actual delivery time of the originating outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the standard delivery time of the originating outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current delivery service of the originating outlet is not timely.
[0055] The originating distribution operation service evaluation submodule 3032 includes: Construct a standard timeliness determination model for the origination and distribution operation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the acquired information including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the originating distribution operation standard time determination model is used to calculate the originating distribution operation standard time efficiency; The actual time efficiency of the originating distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the originating distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current originating distribution operation service is not timely.
[0056] The in-transit transport service evaluation submodule 3033 includes: Construct a standard timeliness determination model for in-transit transportation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard time efficiency of in-transit transportation is calculated using the standard time efficiency determination model of in-transit transportation; Construct a transportation time prediction and correction model; Acquire historical transportation data, real-time traffic conditions and weather conditions, and use the acquired historical transportation data, real-time traffic conditions and weather conditions to train a transportation time efficiency prediction correction model to obtain a trained transportation time efficiency prediction correction model; The trained transportation time prediction correction model is used to correct the standard transportation time in transit, and the corrected standard transportation time in transit is obtained; The actual time efficiency of in-transit transportation is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard time efficiency of in-transit transportation. When the delay duration is greater than or equal to the preset value, it is judged that the current in-transit transportation service is not timely.
[0057] The destination distribution operation service evaluation submodule 3034 includes: Based on different preset rule engines, different timeliness determination models for target allocation operation standards are constructed; A hierarchical decision tree model is built based on different purpose distribution operation standard timeliness judgment models, and branch decisions are made according to site types and business rules to calculate the purpose distribution operation standard timeliness; The actual time efficiency of the destination distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the destination distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current destination distribution service is not timely.
[0058] The destination point delivery service evaluation submodule 3035 includes: Based on different preset rule engines, different delivery standard timeliness determination models for different destination outlets are built; A hierarchical decision tree model is constructed based on the different destination outlet delivery standard timeliness judgment models, and the destination outlet delivery standard timeliness is calculated according to the site type; Construct a customer receipt behavior analysis model, and use the trained customer receipt behavior analysis model to estimate the receipt time range, and modify the destination outlet delivery standard time based on the estimated receipt time range to obtain the modified outlet delivery standard time; The actual delivery time of the destination outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard delivery time of the outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current destination outlet delivery service is not timely.
[0059] Visualization module 304, used to display the standard logistics time efficiency of each logistics link, the actual time efficiency of each logistics link and the marked delayed logistics link through a visualization interface; In this embodiment, a visualization interface is constructed. On the logistics track details page, each link of the logistics, including: delivery at the originating outlet, originating distribution operation, in-transit transportation, destination distribution operation and destination outlet delivery, clearly displays the corresponding outlet / distribution name code, specified time, actual time and duration data in sequence. The delayed link is marked with "actual time" in red according to the rules and is accompanied by a striking "delay" label. Intuitive charts are used, including: bar charts comparing regulations and actuals, line charts showing timeliness trends and other auxiliary presentations, so that users can quickly understand the logistics timeliness status.
[0060] above Figure 3 The logistics timeliness evaluation device 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.
[0061] Figure 47 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device 700 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 710 (for example, one or more processors) and a memory 720, and one or more storage media 730 (for example, one or more mass storage devices) storing application programs 733 or data 732. Among them, the memory 720 and the storage medium 730 can be temporary storage or permanent storage. The program stored in the storage medium 730 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the electronic device 700. Furthermore, the processor 710 may be configured to communicate with the storage medium 730 to execute a series of instruction operations in the storage medium 730 on the electronic device 700.
[0062] The electronic device 700 may also include one or more power supplies 740, one or more wired or wireless network interfaces 750, one or more input and output interfaces 750, and / or one or more operating systems 731, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Figure 4 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.
[0063] 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 logistics timeliness evaluation method.
[0064] 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.
[0065] 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 all 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 for a computer device (which can be a personal computer, a server, or a 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 codes.
[0066] 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 logistics timeliness evaluation method, characterized in that: include: Collect logistics operation data in real time and store the collected logistics operation data in the logistics database; Calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; Compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics to evaluate the timeliness of service in each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
2. The logistics timeliness evaluation method according to claim 1 is characterized in that: The real-time collection of logistics operation data and storage of the collected logistics operation data in a logistics database include: The logistics database collects logistics operation data in real time by connecting to the information entry ports of each link of logistics; the logistics operation data is used to calculate the standard logistics time efficiency of each link of logistics, and compare the standard logistics time efficiency of each link of logistics with the actual logistics time efficiency of each link of logistics to evaluate the service timeliness of each link of logistics; The logistics operation data include: pick-up point information, destination point information, distribution center information, logistics track data, pick-up time, delivery time and the actual time efficiency of each logistics link.
3. The logistics timeliness evaluation method according to claim 1 is characterized in that: The standard delivery time of the originating outlets includes: Construct a model for determining the standard timeliness of delivery at the originating outlet based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard delivery time of the originating outlet is calculated using the standard delivery time judgment model of the originating outlet; The actual delivery time of the originating outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the standard delivery time of the originating outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current delivery service of the originating outlet is not timely.
4. The logistics timeliness evaluation method according to claim 1 is characterized in that: The standard time limit for the originating distribution operation includes: Construct a standard timeliness determination model for the origination and distribution operation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the acquired information including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the originating distribution operation standard time determination model is used to calculate the originating distribution operation standard time efficiency; The actual time efficiency of the originating distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the originating distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current originating distribution operation service is not timely.
5. The logistics timeliness evaluation method according to claim 1 is characterized in that: The standard time limit for in-transit transportation includes: Construct a standard timeliness determination model for in-transit transportation based on a preset rule engine; Based on the logistics database, the data includes the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time; Based on the information obtained, including the originating outlet, the originating distribution, the destination distribution, the distribution operation time mark and the pickup time, the standard time efficiency of in-transit transportation is calculated using the standard time efficiency determination model of in-transit transportation; Construct a transportation time prediction and correction model; Acquire historical transportation data, real-time traffic conditions and weather conditions, and use the acquired historical transportation data, real-time traffic conditions and weather conditions to train a transportation time efficiency prediction correction model to obtain a trained transportation time efficiency prediction correction model; The trained transportation time prediction correction model is used to correct the standard transportation time in transit, and the corrected standard transportation time in transit is obtained; The actual time efficiency of in-transit transportation is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard time efficiency of in-transit transportation. When the delay duration is greater than or equal to the preset value, it is judged that the current in-transit transportation service is not timely.
6. The logistics timeliness evaluation method according to claim 1 is characterized in that: The standard time limit for the purpose allocation operation includes: Based on different preset rule engines, different timeliness determination models for target allocation operation standards are constructed; A hierarchical decision tree model is built based on different purpose distribution operation standard timeliness judgment models, and branch decisions are made according to site types and business rules to calculate the purpose distribution operation standard timeliness; The actual time efficiency of the destination distribution operation is obtained based on the logistics database, and the delay duration is calculated in combination with the standard time efficiency of the destination distribution operation. When the delay duration is greater than or equal to the preset value, it is judged that the current destination distribution service is not timely.
7. The logistics timeliness evaluation method according to claim 1 is characterized in that: The standard delivery time for the destination outlets includes: Based on different preset rule engines, different delivery standard timeliness determination models for different destination outlets are built; A hierarchical decision tree model is constructed based on the different destination outlet delivery standard timeliness judgment models, and the destination outlet delivery standard timeliness is calculated according to the site type; Construct a customer receipt behavior analysis model, and use the trained customer receipt behavior analysis model to estimate the receipt time range, and modify the destination outlet delivery standard time based on the estimated receipt time range to obtain the modified outlet delivery standard time; The actual delivery time of the destination outlet is obtained based on the logistics database, and the delay duration is calculated in combination with the revised standard delivery time of the outlet. When the delay duration is greater than or equal to the preset value, it is judged that the current destination outlet delivery service is not timely.
8. A logistics timeliness evaluation device, characterized in that: include: The data collection module is used to collect logistics operation data in real time and store the collected logistics operation data in the logistics database; The standard logistics time efficiency calculation module is used to calculate the standard logistics time efficiency of each link of logistics based on the logistics operation data in the logistics database; The service timeliness evaluation module is used to compare the standard logistics timeliness of each link of logistics with the actual timeliness of each link of logistics, and to evaluate the service timeliness of each link of logistics; The standard logistics time efficiency of each link of the logistics includes: the standard time efficiency of delivery at the originating outlet, the standard time efficiency of the originating distribution operation, the standard time efficiency of the in-transit transportation, the standard time efficiency of the destination distribution operation and the standard time efficiency of the destination outlet delivery; The standard time limit for delivery of items at the originating outlet, the standard time limit for the operation of originating distribution, the standard time limit for in-transit transportation, the standard time limit for the operation of destination distribution and the standard time limit for delivery at the destination outlet are respectively compared with the actual time limit for delivery of items at the originating outlet, the actual time limit for the operation of originating distribution, the actual time limit for in-transit transportation, the actual time limit for the operation of destination distribution and the actual time limit for delivery at the destination outlet, and are used to evaluate the service timeliness of the originating outlet, the originating distribution, the in-transit transportation, the destination distribution and the delivery at the destination outlet respectively.
9. An electronic device, comprising 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 so that the electronic device executes each step of the logistics timeliness evaluation method as described in any one of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the logistics timeliness evaluation method as described in any one of claims 1-7 are implemented.