Data analysis method and system for e-commerce logistics resource utilization rate
By collecting and calculating data on the utilization rates of warehousing, transportation, and personnel, the problem of lacking a global perspective in the analysis of e-commerce logistics resource utilization has been solved. This enables accurate analysis and intuitive display of resources, and allows for the prediction and timely adjustment of future resource needs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN TRANSPORTATION VOCATIONAL COLLEGE
- Filing Date
- 2026-02-04
- Publication Date
- 2026-05-15
AI Technical Summary
Existing technologies lack a holistic perspective in e-commerce logistics resource utilization analysis, making accurate predictions and intuitive displays impossible, resulting in inaccurate resource allocation and scheduling.
By collecting data on the utilization rates of warehousing, transportation, and personnel, the warehousing occupancy rate, transportation occupancy rate, and personnel occupancy rate are calculated, compared with thresholds, and analyzed using weighted units. The results are then displayed using line charts.
It enables global resource monitoring and precise analysis, timely adjustment of resource utilization, accurate prediction of future resource needs, and displays the results through intuitive line charts.
Smart Images
Figure CN122045689A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of logistics analysis technology, and more specifically to a data analysis method and system for e-commerce logistics resource utilization. Background Technology
[0002] With the continued rapid development of e-commerce, modern logistics systems have become the core infrastructure supporting its operation. Massive order volumes, omnichannel sales models, and consumers' ever-increasing expectations for delivery speed and service quality have posed unprecedented challenges to the operational efficiency and cost control of e-commerce logistics networks. Against this backdrop, the utilization rate of logistics resources—that is, the degree to which core resources such as warehousing, transportation, distribution, manpower, and packaging materials are effectively used within a specific period—directly affects a company's operating costs, service capabilities, and market competitiveness. Therefore, conducting precise and in-depth data analysis of logistics resource utilization to achieve optimal resource allocation and dynamic scheduling has become a key issue for e-commerce and logistics companies to reduce costs, increase efficiency, and enhance their core competitiveness. Currently, when analyzing the utilization rate of e-commerce resources, data from various stages are often scattered across different systems, lacking a holistic perspective for integrated analysis. Traditional indicators often focus on post-event statistics, lacking multi-dimensional and correlational analysis of the resource utilization process, thus making it impossible to conduct accurate analysis. It is difficult to accurately predict future resource needs based on historical data and real-time traffic, and after analysis, the results cannot be presented intuitively. Summary of the Invention
[0003] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a data analysis method and system for e-commerce logistics resource utilization to solve the technical problems mentioned in the background art.
[0004] To achieve the above objectives, the present invention provides the following technical solution: a data analysis method for e-commerce logistics resource utilization, comprising the following steps: Step S1: Collect data from the logistics warehouse and calculate the warehouse occupancy rate CZ; collect data from the transport vehicles and calculate the transport occupancy rate YZ; collect data from logistics personnel and calculate the personnel occupancy rate RZ. Step S2: Compare the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ with their corresponding thresholds; Step S3: Adjust the system when the price is below the threshold, and keep it unchanged when the price is above the threshold. Step S4: Calculate the analysis value FX based on the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ; Step S5: Display the calculated analysis value FX using a line chart.
[0005] A data analysis system for e-commerce logistics resource utilization includes a collection unit, a calculation unit, a central unit, an adjustment unit, an analysis unit, a weighting unit, and a display unit. The collection unit collects warehousing data, transportation data, and personnel data. The calculation unit receives the collected data and calculates the warehousing occupancy rate (CZ), transportation occupancy rate (YZ), and personnel occupancy rate (RZ). The central unit receives data from the calculation unit and compares it with its internal thresholds. When the calculated data is lower than the threshold, it sends an instruction to the adjustment unit, which receives and processes the instruction. The analysis unit receives data from the central unit and calculates an analysis value (FX). The weighting unit provides the weights used in the analysis unit's calculations. The display unit displays the calculated analysis value (FX) using a line graph. The data collection unit includes a warehousing module, a transportation module, and a personnel module. The warehousing module collects commodity volume data in the logistics warehouse, the transportation module collects commodity weight data in the material output vehicle, and the personnel module collects working time data for all personnel involved in transportation.
[0006] In a preferred embodiment, the warehousing module collects the total storage volume data ZT of the warehouse and the volume data DT of the goods currently stored in the warehouse. The warehousing module also collects the volume data RT of goods to be received by logistics vehicles within the same day and the volume data CT of goods to be shipped out by logistics vehicles within the same day. The warehousing module sends the collected data to the calculation unit. The calculation unit receives the data collected by the warehousing module and calculates the storage occupancy rate CZ. The formula for calculating the storage occupancy rate CZ is as follows: .
[0007] In a preferred embodiment, the transportation module collects the current load data DZ and the approved load data HZ of the transportation vehicle and sends them to the calculation unit. The calculation unit receives the data collected by the transportation module and calculates the transportation occupancy rate YZ. The formula for calculating the transportation occupancy rate YZ is as follows: In the formula, i represents the current i-th transport vehicle, j represents the total number of transport vehicles, DZi represents the current load data of the current i-th transport vehicle, and HZi represents the approved load data of the i-th transport vehicle.
[0008] In a preferred embodiment, the personnel module collects time data GS required for workers to perform their tasks and attendance time data CG. The personnel module sends the collected data to the calculation unit, which receives the collected data and calculates the personnel occupancy rate RZ. The formula for calculating the personnel occupancy rate RZ is as follows: In the formula, m is the mth task performed by the staff, n is the total number of tasks performed by the staff on the day, and GSm is the time required for the i-th task performed by the staff.
[0009] In a preferred embodiment, the calculation unit sends the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to the central unit. The central unit receives the data sent by the calculation unit and compares it with its internal thresholds, which include a warehouse threshold Y1, a transportation threshold Y2, and a personnel threshold Y3. When the warehouse occupancy rate CZ ≥ warehouse threshold Y1, the transportation occupancy rate YZ ≥ transportation threshold Y2, and the personnel occupancy rate RZ ≥ personnel threshold Y3, the central unit does not send any instructions. Whether the central unit sends instructions or not, it sends the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to the analysis unit.
[0010] In a preferred embodiment, after comparison, when the central unit determines that the storage occupancy rate CZ < storage threshold Y1, the central unit sends a storage instruction to the adjustment unit; when the transportation occupancy rate YZ < transportation threshold Y2, the central unit sends a transportation instruction to the adjustment unit; when the personnel occupancy rate RZ < personnel threshold Y3, the central unit sends a personnel instruction to the adjustment unit. Upon receiving the storage instruction, the adjustment unit adjusts the storage volume within the warehouse; upon receiving the transportation instruction, the adjustment unit adjusts the weight of goods in the transport vehicles; and upon receiving the adjustment instruction, the adjustment unit adjusts the workload of the staff.
[0011] In a preferred embodiment, the analysis unit receives the warehouse occupancy rate CZ, the transportation occupancy rate YZ, and the personnel occupancy rate RZ and calculates the analysis value FX. The calculation formula for the analysis value FX is as follows: In the formula, k1, k2 and k3 are weights, and 0≤k1≤1, 0≤k2≤1, 0≤k,3≤1. The analysis unit calculates the analysis value FX once a day, and sends the daily calculated analysis value FX to the display unit.
[0012] In a preferred embodiment, the weighting unit is used to calculate the weights k1, k2, and k3 within the analysis unit. The weighting unit retrieves the amount invested by the enterprise in warehousing, transportation, and labor in the previous month, and compares each amount with the total amount. The calculated comparison values are weights k1, k2, and k3, and managers can adjust k1, k2, and k3 through the weighting unit.
[0013] In a preferred embodiment, the analysis value FX received by the display unit is displayed as a line graph. When the line graph is displayed, the analysis value itself is used as the vertical axis and the date is used as the horizontal axis. The line graph is divided into two line graphs: a small line graph with seven days and a large line graph with thirty days.
[0014] Technical effects and advantages of the present invention: This invention solves the problem of fragmented data and lack of global perspective in traditional analysis by unifying the utilization rates of three core resources: warehousing, transportation, and personnel into an integrated analysis system. This facilitates global resource monitoring, and the analytical value FX calculated based on these three utilization rates can be accurately analyzed and ultimately displayed intuitively through a line graph, enabling the prediction of future resources. This invention involves calculating the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ, and then comparing them with their corresponding thresholds, namely the warehouse threshold Y1, transportation threshold Y2, and personnel threshold Y3. When the thresholds are not lower than the thresholds, the utilization rate is high, and normal operation is sufficient. However, when the thresholds are lower than the respective thresholds, the utilization rate is low, and timely adjustments are required. This invention uses the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to calculate the analysis value FX, which integrates all data and provides a more comprehensive analysis value FX. During the calculation, the weights are calculated using weighted units, which are the proportion of each unit's investment amount in the previous month, thus ensuring that the weights are sufficiently representative. This invention displays the calculated analysis value FX using a line graph, which provides a more intuitive representation. Finally, two line graphs with different time intervals are used to represent the result, allowing for analysis across different time dimensions and enabling more accurate predictions. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of the method flow of the present invention.
[0016] Figure 2 This is a schematic diagram of the overall analysis system of the present invention. Detailed Implementation
[0017] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The data analysis method and system for e-commerce logistics resource utilization involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] Reference Figure 1 This invention provides a data analysis method for e-commerce logistics resource utilization, comprising the following steps: Step S1: Collect data from the logistics warehouse and calculate the warehouse occupancy rate CZ; collect data from the transport vehicles and calculate the transport occupancy rate YZ; collect data from logistics personnel and calculate the personnel occupancy rate RZ. Step S2: Compare the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ with their corresponding thresholds; Step S3: Adjust the system when the price is below the threshold, and keep it unchanged when the price is above the threshold. Step S4: Calculate the analysis value FX based on the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ; Step S5: Display the calculated analysis value FX using a line chart.
[0019] In this embodiment of the application, when analyzing the utilization rate of e-commerce logistics resources, the application integrates the utilization rates of the three core resources of warehousing, transportation and personnel into the analysis system. This solves the problem of scattered data and lack of global perspective integration analysis in traditional analysis, which is conducive to realizing global resource monitoring. Furthermore, the analysis value FX calculated based on the above three utilization rates can be accurately analyzed and finally displayed intuitively through a line graph. This allows for the prediction of future resources and timely adjustments when problems occur on the same day, i.e. when the value is below the threshold, to ensure the smooth operation of the logistics transportation process.
[0020] Reference Figure 2A data analysis system for e-commerce logistics resource utilization is characterized by comprising a collection unit, a calculation unit, a central unit, an adjustment unit, an analysis unit, a weighting unit, and a display unit. The collection unit is used to collect warehousing data, transportation data, and personnel data. The calculation unit receives the collected data and calculates the warehousing occupancy rate CZ, the transportation occupancy rate YZ, and the personnel occupancy rate RZ. The central unit receives the data from the calculation unit and compares it with its internal thresholds. When the calculated data is lower than the threshold, it sends an instruction to the adjustment unit, which receives and processes the instruction. The analysis unit receives the data sent from the central unit and calculates the analysis value FX. The weighting unit provides the weights for the analysis unit's calculations. The display unit displays the calculated analysis value FX using a line graph.
[0021] Reference Figure 2 The data collection unit includes a warehousing module, a transportation module, and a personnel module. The warehousing module collects commodity volume data in the logistics warehouse, the transportation module collects commodity weight data in the material output vehicle, and the personnel module collects working time data for all personnel involved in the transportation work.
[0022] In this embodiment of the application, the data collection unit includes a warehousing module, a transportation module, and a personnel module. Therefore, when collecting data, it will collect data from three different directions. Based on more flexible operation, it can understand the overall logistics process and thus accurately analyze the utilization rate of logistics resources.
[0023] Reference Figure 2 The warehousing module collects the total storage volume data ZT of the warehouse and the volume data DT of the goods currently stored in the warehouse. It also collects the volume data RT of goods to be received by logistics vehicles within the same day and the volume data CT of goods to be shipped out by logistics vehicles within the same day. The warehousing module sends the collected data to the calculation unit. The calculation unit receives the data collected by the warehousing module and calculates the storage occupancy rate CZ. The formula for calculating the storage occupancy rate CZ is... .
[0024] When calculating the storage occupancy rate CZ, this application adds the volume data of the current goods to the goods to be put into storage and subtracts the goods to be put out of storage to determine the actual amount of storage space occupied by the goods in a day, thus making the storage occupancy rate CZ calculated by this application more accurate.
[0025] Reference Figure 2The transportation module collects the current load data DZ and the approved load data HZ of the transport vehicle and sends them to the calculation unit. The calculation unit receives the data collected by the transportation module and calculates the transportation occupancy rate YZ. The formula for calculating the transportation occupancy rate YZ is as follows: In the formula, i represents the current i-th transport vehicle, j represents the total number of transport vehicles, DZi represents the current load data of the current i-th transport vehicle, and HZi represents the approved load data of the i-th transport vehicle.
[0026] In this embodiment of the application, when calculating the transportation occupancy rate YZ, the ratio of the load data of each vehicle to the approved load data during each transportation is calculated, and then the total number of vehicles transported is subtracted to obtain the average ratio displayed. This ensures that the calculated transportation occupancy rate YZ can more accurately reflect the utilization rate during transportation and avoids large fluctuations in the data caused by a few individual vehicles.
[0027] Reference Figure 2 The personnel module collects time data (GS) required for workers to perform their tasks and attendance data (CG). The personnel module sends the collected data to the calculation unit, which receives the data and calculates the personnel occupancy rate (RZ). The formula for calculating the personnel occupancy rate (RZ) is as follows: In the formula, m is the mth task performed by the staff, n is the total number of tasks performed by the staff on the day, and GSm is the time required for the i-th task performed by the staff.
[0028] In this embodiment of the application, when calculating the staff occupancy rate RZ, the time required for staff to complete all tasks on the same day is first calculated, and then compared with the current time and the attendance time to accurately understand the staff occupancy rate RZ.
[0029] Reference Figure 2The calculation unit sends the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to the central unit. The central unit receives the data sent by the calculation unit and compares it with its internal thresholds, including a warehouse threshold Y1, a transportation threshold Y2, and a personnel threshold Y3. When the warehouse occupancy rate CZ ≥ warehouse threshold Y1, the transportation occupancy rate YZ ≥ transportation threshold Y2, and the personnel occupancy rate RZ ≥ personnel threshold Y3, the central unit does not send any instructions. Whether the central unit sends instructions or not, it still sends the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ. The data is sent to the analysis unit. After comparison, the central unit sends a storage instruction to the adjustment unit when the storage occupancy rate CZ < storage threshold Y1; when the transportation occupancy rate YZ < transportation threshold Y2; and when the personnel occupancy rate RZ < personnel threshold Y3. Upon receiving the storage instruction, the adjustment unit adjusts the storage volume in the warehouse. Upon receiving the transportation instruction, the adjustment unit adjusts the weight of goods in the transport vehicles. Upon receiving the adjustment instruction, the adjustment unit adjusts the workload of the staff.
[0030] In this embodiment of the application, after calculating the warehouse occupancy rate CZ, the transportation occupancy rate YZ, and the personnel occupancy rate RZ, they are compared with their corresponding thresholds, namely the warehouse threshold Y1, the transportation threshold Y2, and the personnel threshold Y3. When they are not lower than the threshold, the utilization rate is high, so normal operation is sufficient. When they are lower than their respective thresholds, the utilization rate is low, and timely adjustment is required.
[0031] Reference Figure 2 The analysis unit receives the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ and calculates the analysis value FX. The formula for calculating the analysis value FX is as follows: In the formula, k1, k2, and k3 are weights, and 0≤k1≤1, 0≤k2≤1, 0≤k, 3≤1. The analysis unit calculates the analysis value FX once a day and sends the daily calculated analysis value FX to the display unit. The weight unit is used to calculate the weights k1, k2, and k3 within the analysis unit. The weight unit retrieves the amount invested by the enterprise in warehousing, transportation, and labor in the previous month and compares each amount with the total amount. The calculated comparison values are weights k1, k2, and k3. Managers can adjust k1, k2, and k3 through the weight unit.
[0032] In this embodiment of the application, based on the calculation of the warehouse occupancy rate CZ, the transportation occupancy rate YZ, and the personnel occupancy rate RZ, the calculated analysis value FX can integrate all the data, thus making the calculated analysis value FX more comprehensive. During the calculation, the weights used are calculated through weight units, and the weight units adopt the proportion of the amount invested in each in the previous month, thereby ensuring that the weights are sufficiently representative. Moreover, the weights can be manually adjusted, so they can be adjusted in a timely manner in case of emergencies.
[0033] Reference Figure 2 The analysis value FX received by the display unit is displayed in the form of a line graph. When the line graph is displayed, the analysis value itself is used as the vertical axis and the date is used as the horizontal axis. The line graph is displayed by the display unit in two parts: a small line graph with seven days and a large line graph with thirty days.
[0034] In this embodiment of the application, after calculating the analysis value FX, the application displays it using a line graph, which provides a more intuitive representation. Finally, two line graphs with different time intervals are used to represent the result, allowing for analysis across different time dimensions.
[0035] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. The units and algorithm steps of the various examples described in the embodiments can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0036] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0037] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0038] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A data analysis method for e-commerce logistics resource utilization, characterized in that... Includes the following steps: Step S1: Collect data from the logistics warehouse and calculate the warehouse occupancy rate CZ; collect data from the transport vehicles and calculate the transport occupancy rate YZ; collect data from logistics personnel and calculate the personnel occupancy rate RZ. Step S2: Compare the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ with their corresponding thresholds; Step S3: Adjust the system when the price is below the threshold, and keep it unchanged when the price is above the threshold. Step S4: Calculate the analysis value FX based on the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ; Step S5: Display the calculated analysis value FX using a line chart.
2. The data analysis system for e-commerce logistics resource utilization as described in claim 1, applying the data analysis method for e-commerce logistics resource utilization as described in claim 1, is characterized in that... The system includes a data acquisition unit, a calculation unit, a central unit, an adjustment unit, an analysis unit, a weighting unit, and a display unit. The data acquisition unit collects warehousing data, transportation data, and personnel data related to logistics. The calculation unit receives the collected data and calculates the warehousing occupancy rate (CZ), transportation occupancy rate (YZ), and personnel occupancy rate (RZ). The central unit receives data from the calculation unit and compares it with its internal thresholds. When the calculated data is lower than the threshold, it sends an instruction to the adjustment unit, which receives and processes the instruction. The analysis unit receives data from the central unit and calculates an analysis value (FX). The weighting unit provides the weights used by the analysis unit in its calculations. The display unit displays the calculated analysis value (FX) using a line graph. The data collection unit includes a warehousing module, a transportation module, and a personnel module. The warehousing module collects commodity volume data in the logistics warehouse, the transportation module collects commodity weight data in the material output vehicle, and the personnel module collects working time data for all personnel involved in transportation.
3. The data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The warehousing module collects the total storage volume data ZT of the warehouse and the volume data DT of the goods currently stored in the warehouse. It also collects the volume data RT of goods to be received by logistics vehicles that day and the volume data CT of goods to be shipped out by logistics vehicles that day. The warehousing module sends the collected data to the calculation unit. The calculation unit receives the data collected by the warehousing module and calculates the storage occupancy rate CZ. The formula for calculating the storage occupancy rate CZ is as follows: .
4. The data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The transportation module collects the current load data DZ and the approved load data HZ of the transport vehicle and sends them to the calculation unit. The calculation unit receives the data collected by the transportation module and calculates the transportation occupancy rate YZ. The formula for calculating the transportation occupancy rate YZ is as follows: In the formula, i represents the current i-th transport vehicle, j represents the total number of transport vehicles, DZi represents the current load data of the current i-th transport vehicle, and HZi represents the approved load data of the i-th transport vehicle.
5. A data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The personnel module collects time data (GS) required for workers to perform their tasks and attendance data (CG). The personnel module sends the collected data to the calculation unit, which receives the data and calculates the personnel occupancy rate (RZ). The formula for calculating the personnel occupancy rate (RZ) is as follows: In the formula, m is the mth task performed by the staff, n is the total number of tasks performed by the staff on the day, and GSm is the time required for the i-th task performed by the staff.
6. The data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The calculation unit sends the calculated warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to the central unit. The central unit receives the data sent by the calculation unit and compares it with its internal thresholds, which include the warehouse threshold Y1, transportation threshold Y2, and personnel threshold Y3. When the warehouse occupancy rate CZ ≥ warehouse threshold Y1, transportation occupancy rate YZ ≥ transportation threshold Y2, and personnel occupancy rate RZ ≥ personnel threshold Y3, the central unit does not send any instructions. Whether the central unit sends instructions or not, it sends the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ to the analysis unit.
7. A data analysis system for e-commerce logistics resource utilization according to claim 6, characterized in that... After comparison, when the central unit determines the storage occupancy rate CZ < storage threshold Y1, it sends a storage instruction to the adjustment unit. When the transportation occupancy rate YZ < transportation threshold Y2, it sends a transportation instruction to the adjustment unit. When the personnel occupancy rate RZ < personnel threshold Y3, it sends a personnel instruction to the adjustment unit. Upon receiving the storage instruction, the adjustment unit adjusts the storage volume in the warehouse. Upon receiving the transportation instruction, the adjustment unit adjusts the weight of goods in the transport vehicles. Upon receiving the adjustment instruction, the adjustment unit adjusts the workload of the staff.
8. A data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The analysis unit receives the warehouse occupancy rate CZ, transportation occupancy rate YZ, and personnel occupancy rate RZ and calculates the analysis value FX. The formula for calculating the analysis value FX is as follows: In the formula, k1, k2 and k3 are weights, and 0≤k1≤1, 0≤k2≤1, 0≤k,3≤1. The analysis unit calculates the analysis value FX once a day, and sends the daily calculated analysis value FX to the display unit.
9. A data analysis system for e-commerce logistics resource utilization according to claim 8, characterized in that... The weighting unit is used to calculate the weights k1, k2, and k3 within the analysis unit. The weighting unit retrieves the amount invested by the enterprise in warehousing, transportation, and labor in the previous month, and compares each amount with the total amount. The calculated comparison values are weights k1, k2, and k3, and managers can adjust k1, k2, and k3 through the weighting unit.
10. A data analysis system for e-commerce logistics resource utilization according to claim 2, characterized in that... The analysis value FX received by the display unit is displayed in the form of a line graph. When the line graph is displayed, the analysis value itself is used as the vertical axis and the date is used as the horizontal axis. The line graph is displayed by the display unit in two parts: a small line graph with seven days and a large line graph with thirty days.