Method and system for managing the performance of a logistics system

TW202636352AActive Publication Date: 2026-09-01COUPANG CORP
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Patent Information

Application Number
TW114108017
Authority / Receiving Office
TW · TW
Patent Type
Applications
Current Assignee / Owner
Priority Date
2025-02-21
Filing Date
2025-03-05
Publication Date
2026-09-01
Estimated Expiration
2045-03-04

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Abstract

Provided are a method and system for managing performance of a logistics system by testing the performance of the logistics system through simulation of a logistics task. The method includes: monitoring the logistics system that performs logistics tasks for simulation orders sequentially entered during a simulation time; determining whether or not the test is successful based on a logistics task volume of the logistics system, the logistics task volume being a task volume for a plurality of orders entered in a peak time period among the entered simulation orders, and the peak time period being the remaining time period excluding a time period with the lowest entered order volume among the plurality of time periods included in the simulation time; and displaying whether or not the test is successful and monitoring information on the logistics system.
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Claims

1. A performance management method, which tests the performance of a logistics system by simulating logistics tasks to manage the performance of the logistics system, is executed by a computing system, and includes the following steps: monitoring the logistics system that executes logistics tasks for simulated orders sequentially input during the simulation period; determining whether the test is successful based on the logistics system's task volume, wherein, The logistics workload is the workload of multiple orders entered during the peak period in the input simulated orders. The peak period is the remaining time period excluding the time period with the fewest input orders among the multiple time periods included in the simulation time. The system also displays whether the test was successful and the monitoring information of the logistics system. The steps for determining whether the test was successful based on the logistics workload of the logistics system include the following steps: During a preset time period starting from the input time of the last order among the multiple orders entered during the peak period, the logistics workload of the logistics system for the multiple orders entered during the peak period is calculated.

2. The performance management method as described in request item 1, wherein, The steps for monitoring the logistics system include the following: By monitoring the multiple logistics management systems included in the logistics system that sequentially process the logistics work, the throughput of each of the multiple logistics management systems for the input simulated order is obtained.

3. The performance management method as described in request item 1, wherein, The steps for monitoring the logistics system include the following: monitoring multiple logistics management systems included in the logistics system that sequentially process the logistics work; and using the monitoring information from the multiple logistics management systems, calculating the lead time for each process for the input simulated order.

4. The performance management method as described in request item 1, wherein, The steps for monitoring the logistics system include the following: monitoring the throughput of the simulated order input by the workers assigned to the workstations included in the logistics system.

5. The performance management method as described in request item 1, wherein, The steps for determining the success of the logistics workload test based on the logistics system include the following: Determine whether the logistics work of the last order among the multiple orders entered during the peak period is completed within a preset time from the time the last order was entered.

6. The performance management method as described in Request 1, wherein, The steps to display whether the test was successful and the monitoring information of the logistics system include the following steps: If the test fails, the monitoring information of the logistics system is used to detect the cause of the delay in the logistics work of the multiple orders in the logistics system.

7. The performance management method as described in request item 6, wherein, The steps for detecting the cause of delays in the logistics operations of the multiple orders in the logistics system include the following steps: among the multiple automated devices controlled by the logistics management system used to perform the logistics operations of the multiple orders, detect the automated device with the lowest throughput compared to the other automated devices; and control the speed of the detected automated device.

8. The performance management method as described in request item 6, wherein, The steps for detecting the cause of delays in the logistics operations of multiple orders in the logistics system include the following steps: Among the multiple automated devices controlled by the logistics management system included in the logistics system for executing the logistics operations of the multiple orders, detect the automated device with the lowest throughput compared to other automated devices, wherein the multiple automated devices split and execute the logistics operations of the input orders according to preset splitting conditions; and reset the splitting conditions to increase the order volume allocated to the other automated devices among the multiple automated devices.

9. The performance management method as described in request item 6, wherein, The steps to display whether the test was successful and the monitoring information of the logistics system include the following: If the test fails, the monitoring information of the logistics system and the cause of the detected delay are displayed on the graphical user interface (GUI).

10. A performance management system, comprising: At least one processor; The system includes at least one memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform multiple operations, including: monitoring a logistics system that performs logistics tasks for simulated orders sequentially input during a simulation period; determining whether a performance test of the logistics system is successful based on the task volume of the logistics system, wherein the task volume is the workload of multiple orders input during a peak period among the input simulated orders, the peak period being the remaining time period among the multiple time periods included in the simulation period excluding the time period with the fewest input orders; and displaying whether the test is successful and monitoring information of the logistics system, wherein the operation of determining whether a performance test of the logistics system is successful based on the task volume of the logistics system includes: calculating the task volume of the logistics system for the multiple orders input during the peak period during a preset time period starting from the input time of the last order among the multiple orders input during the peak period.

11. The performance management system as described in claim 10, wherein, The operations that display whether the test was successful and the monitoring information of the logistics system include the following: If the test fails, the monitoring information of the logistics system is used to detect the cause of the delay in the logistics work of the multiple orders in the logistics system.

12. The performance management system as described in claim 10, wherein, The operation to detect the cause of delays in the logistics work of the multiple orders in the logistics system includes the following operations: among the multiple automated devices controlled by the logistics management system used to perform the logistics work of the multiple orders, detect the automated device with the lowest throughput compared to the other automated devices; and control the speed of the detected automated device.

13. The performance management system as described in claim 10, wherein, The operation to detect the cause of the delay in the logistics work of the multiple orders in the logistics system includes the following operations: Among the multiple automated devices controlled by the logistics management system included in the logistics system for executing the logistics work of the multiple orders, detect the automated device with a lower throughput than other automated devices, wherein the multiple automated devices split and execute the logistics work of the input orders according to preset splitting conditions; and reset the splitting conditions to increase the order volume allocated to the other automated devices among the multiple automated devices.

14. A computer program, incorporated in conjunction with a computing device and stored on a computer-readable recording medium, performs the following steps: monitoring a logistics system that executes logistics tasks for simulated orders sequentially entered during a simulated time period; determining whether a performance test of the logistics system is successful based on the task volume of the logistics system, wherein, The logistics workload is the workload of multiple orders entered during the peak period in the input simulated orders. The peak period is the remaining time period excluding the time period with the fewest input orders among the multiple time periods included in the simulation time. The system also displays whether the test was successful and the monitoring information of the logistics system. The steps for determining whether the performance test of the logistics system is successful based on the logistics workload of the logistics system include the following steps: During a preset time period starting from the input time of the last order among the multiple orders entered during the peak period, the logistics workload of the logistics system for the multiple orders entered during the peak period is calculated.