Flat plate type satellite production line design method and device and computer program product

Abstract

The invention relates to the technical field of high-end equipment manufacturing, in particular to a flat plate type satellite production line design method and device and a computer program product, and the method comprises the steps: calculating the production capacity requirement of an assembly line according to order information and historical production data; performing process planning on the production line based on a satellite production process; optimizing process planning of the production line according to the production capacity requirement of the assembly line, wherein the process planning comprises assembly line stability planning optimization, assembly line mobility planning optimization, assembly line rhythm planning optimization and assembly line pulling planning optimization; performing layout planning on the production line after process planning optimization through analogue simulation; and carrying out logistics planning according to the layout plan of the production line. The systematized flat plate type satellite production line design method is constructed through a five-step method, the problems that traditional satellite batch production design depends on experience and lacks quantification and flexibility are solved, and the production efficiency, reliability and expandability can be remarkably improved.

Description

Technical Field This disclosure relates to the field of high-end equipment manufacturing technology, and in particular to a design method, apparatus and computer program product for a flat-panel satellite production line. Background Technology

[0001] With the accelerating trend of satellite industrialization and mass production, the traditional single-unit satellite development model can no longer meet the demands of large-scale delivery. Flat-panel satellites, due to their standardized structure and modular functionality, have become an important direction for mass production. However, the following problems still exist in the design of existing flat-panel satellite production lines: (1) Lack of systematic design in production line (assembly line): Current flat-panel satellite production line designs mostly rely on experience and traditional incremental improvement methods, lacking systematic and repeatable planning steps, which makes it difficult to maintain consistent production efficiency and resource utilization between different batches of flat-panel satellites. Traditional production line planning processes are complex and easily affected by single factors, making it difficult to adapt to the ever-changing needs during the batch production of flat-panel satellites.

[0002] (2) The number of production line stations is not scientifically determined: In the existing design, the number of production line stations for flat-panel satellites is often determined by manual estimation or empirical data, which lacks the support of a rigorous mathematical model and is prone to waste of production line resources or bottlenecks. Too many or too few stations may affect the overall production efficiency, especially when the production cycle of flat-panel satellites is short and the delivery requirements are high, and cannot provide sufficient flexibility.

[0003] (3) Insufficient production line flexibility: During the mass production of flat-panel satellites, production plans often change, and existing production line designs are often unable to cope with this uncertainty, resulting in the production line being unable to adjust in a timely manner and effectively cope with production fluctuations and sudden demands. This means that the production line lacks sufficient redundancy and flexibility in the event of production delays, equipment failures, etc., affecting production efficiency and delivery capabilities.

[0004] (4) Inefficient production line warehousing and logistics management: In the mass production of flat-panel satellites, the coordination between the production line and warehousing and logistics is crucial. However, most existing warehousing and logistics planning is based on traditional experience and lacks a scientific replenishment model, leading to problems such as untimely replenishment or inventory backlog. This not only affects production efficiency but also increases inventory management costs. Summary of the Invention

[0005] This disclosure aims to at least partially solve one of the technical problems in the aforementioned technologies, and to this end proposes a design method for a flat-panel satellite production line, comprising: Calculate assembly line capacity requirements based on order information and historical production data; Process planning for the production line based on satellite manufacturing technology; The process planning of the production line is optimized according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout of the production line after process planning optimization is planned through simulation. Logistics planning is carried out based on the layout plan of the production line.

[0006] Furthermore, the production line includes: a component assembly production line and an overall assembly and testing production line.

[0007] Furthermore, based on the satellite manufacturing process, the production line is planned in terms of process steps, including: planning the process steps for the component assembly production line and the overall assembly and testing production line respectively.

[0008] Furthermore, optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of workstations on the production line based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and work efficiency.

[0009] Furthermore, the calculation formula used when calculating the number of workstations on the production line includes:

[0010] in, Indicates the number of workstations on the production line; Indicates the number of workstations corresponding to processes that cannot be merged; Indicates the total assembly time; This indicates the assembly time required for processes that cannot be combined. Indicates beat time; Indicates work efficiency.

[0011] Furthermore, optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of reserved troubleshooting stations on the production line based on the daily shift schedule, working hours per shift, cycle time, fault troubleshooting probability, fault troubleshooting days, and fluctuation coefficient.

[0012] Furthermore, the calculation formula used when calculating the number of reserved troubleshooting stations on the production line includes:

[0013] in, Indicates the number of reserved troubleshooting workstations; This indicates the number of shifts scheduled for the production line each day; This indicates the number of working hours per shift; Indicates beat time; Indicates the probability of troubleshooting; Indicates the number of days required to troubleshoot the problem; This represents the volatility coefficient.

[0014] Furthermore, the layout planning of the production line after process planning optimization is carried out through simulation, including: generating several layout planning schemes, and selecting the layout planning scheme with the highest production efficiency from the several layout planning schemes as the target layout planning scheme through simulation.

[0015] Furthermore, logistics planning is carried out based on the layout plan of the production line, including: calculating the material replenishment threshold based on the procurement lead time, daily material consumption rate and safety stock.

[0016] Furthermore, the calculation formula used when calculating the material replenishment threshold includes:

[0017] in, Indicates the material replenishment threshold; Indicates the lead time for procurement; Indicates the daily consumption rate of materials; This indicates safety stock.

[0018] This disclosure also proposes a flat-panel satellite production line design system, including: The capacity calculation module is configured to calculate assembly line capacity requirements based on order information and historical production data. The process planning module is configured to: perform process planning on the production line based on satellite production processes; The planning optimization module is configured to optimize the process planning of the production line according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout planning module is configured to: perform layout planning on the production line after process planning optimization through simulation. The logistics planning module is configured to perform logistics planning based on the layout plan of the production line.

[0019] Furthermore, the process planning module is configured to: calculate the number of workstations on the production line based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and work efficiency. The corresponding calculation formula includes:

[0020] in, Indicates the number of workstations on the production line; Indicates the number of workstations corresponding to processes that cannot be merged; Indicates the total assembly time; This indicates the assembly time required for processes that cannot be combined. Indicates beat time; Indicates work efficiency.

[0021] Furthermore, the planning optimization module is configured to: calculate the number of reserved troubleshooting workstations on the production line based on the daily shift schedule, working hours per shift, cycle time, fault resolution probability, fault resolution days, and fluctuation coefficient. The corresponding calculation formula includes:

[0022] in, Indicates the number of reserved troubleshooting workstations; This indicates the number of shifts scheduled for the production line each day; This indicates the number of working hours per shift; Indicates beat time; Indicates the probability of troubleshooting; Indicates the number of days required to troubleshoot the problem; This represents the volatility coefficient.

[0023] Furthermore, the logistics planning module is configured to calculate a material replenishment threshold based on the procurement lead time, daily material consumption rate, and safety stock. The corresponding calculation formula includes:

[0024] in, Indicates the material replenishment threshold; Indicates the lead time for procurement; Indicates the daily consumption rate of materials; This indicates safety stock.

[0025] This disclosure also proposes a flat-panel satellite production line, which is designed based on the above-described flat-panel satellite production line design method.

[0026] This disclosure also proposes an electronic device, including a memory and a processor, wherein the memory stores a computer program or instructions, which, when executed by the processor, are used to at least implement the above-described flat-panel satellite production line design method.

[0027] This disclosure also proposes a computer-readable storage medium storing a computer program or instructions, which, when executed by a processor, are used to implement at least the above-described flat-panel satellite production line design method.

[0028] This disclosure also proposes a computer program product stored in a computer-readable storage medium, which, when executed by a processor, is used to at least implement the above-described flat-panel satellite production line design method.

[0029] Compared with existing technologies, the beneficial effects of this disclosure are as follows: This disclosure constructs a systematic design method for flat-panel satellite production lines through a "five-step method," proposing formulas for determining the number of workstations, reserving workstations, and replenishing warehouse materials. This solves the problems of traditional flat-panel satellite batch production design relying on experience, lacking quantification, and being insufficiently flexible. It can significantly improve the efficiency, reliability, and scalability of flat-panel satellite mass production. Through the above scheme, the production line can be planned efficiently, ensuring that during mass production, workstation arrangements are reasonable, capacity is fully utilized, material replenishment is timely, and inventory is effectively controlled. The production line has strong adaptability, capable of handling the production needs of different production scales and different flat-panel satellites, while also being able to quickly respond to sudden failures or capacity fluctuations, maintaining a stable production rhythm.

[0030] Other features and advantages of this disclosure will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the disclosure. The objects and other advantages of this disclosure may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. The technical solutions of this disclosure will be further described below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0031] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the embodiments of the present disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the design method for a flat-panel satellite production line given in the embodiment; Figure 2 The diagram below illustrates the five-step assembly line planning method as shown in the example. Figure 3 This is a schematic diagram illustrating the optimization of assembly line process planning in an example embodiment; Figure 4 The schematic diagram of the flat-panel satellite production line design system is shown in the example. Figure 5 The diagram shows an electronic device as illustrated in the embodiment. Figure 6 This is a schematic diagram of a computer-readable storage medium provided for an embodiment. Detailed Implementation

[0032] The present disclosure will be described below with reference to the accompanying drawings. The preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present disclosure.

[0033] Figure 1 The design method for a flat-panel satellite production line disclosed herein includes: Calculate assembly line capacity requirements based on order information and historical production data; Process planning for the production line based on satellite manufacturing technology; The process planning of the production line is optimized according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout of the production line after process planning optimization is planned through simulation. Logistics planning is carried out based on the layout plan of the production line.

[0034] According to some embodiments of this disclosure, such as Figure 2 As shown, the design method for a flat-panel satellite production line proposed in this disclosure mainly includes the following steps: 1. Assembly Line Capacity Planning: Calculate assembly line capacity requirements based on order information and historical production data. In the production process of flat-panel satellites, the capacity requirements for a single assembly line must first be determined based on the type and quantity of assembly lines in the customer order and the expected production cycle. By analyzing historical production data and order volume, the daily component assembly efficiency can be predicted. Capacity planning should consider the production line's cycle time and operational efficiency. Assuming a plan to produce 100 flat-panel satellites, with each satellite requiring 10 hours of production time, the capacity requirement is 100 divided by 10, i.e., 10 units / day.

[0035] 2. Assembly Line Planning Strategy: Based on satellite manufacturing processes, the production line is planned for specific processes. Each process in the production line requires specific equipment and personnel; functional planning needs to determine the number of workstations and functional requirements for each process.

[0036] 3. Lean Assembly Line Planning: Optimize the process planning of the production line according to the assembly line capacity requirements, including assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization.

[0037] Assembly line process planning optimization schemes, such as Figure 3 As shown: (1) By analyzing the bottlenecks in each link of the production line, identify the factors that may cause production instability and take countermeasures in advance. For example, when calculating the number of workstations, take into account potential production fluctuations and ensure that the production line has sufficient margin to cope with short-term demand fluctuations.

[0038] (2) Apply the material flow optimization method to simulate the flow path of materials and products, determine the shortest and most efficient flow path, ensure the coordination between production links, and avoid delays caused by material backlog and transfer.

[0039] (3) By conducting a detailed analysis of the time requirements of different processes and combining the balancing method between processes, the operation rhythm of the processes is adjusted so that the rhythm of all workstations on the production line is consistent, and the load between workstations is not too heavy or too light.

[0040] (4) Introduce a Kanban system into the production line to monitor production progress and demand changes in real time, flexibly adjust the work station operation rhythm, and avoid unnecessary waiting and inventory backlog during the production process. In addition, the production rhythm can be controlled by timely replenishment and flow of materials in combination with the actual material demand, so as to ensure that the production line maintains a "pull" operation.

[0041] 4. Assembly Line Layout Planning and Evaluation: The layout of the optimized production line is planned using simulation. This planning needs to consider factors such as space allocation, workstations, equipment, and material flow. A well-planned layout reduces material handling distances and non-productive time. Based on the results of capacity planning, functional planning, and lean line planning, several feasible assembly line layout schemes can be proposed.

[0042] 5. Warehouse Planning and Overall Logistics Planning: Logistics planning is conducted based on the production line layout. Warehouse logistics planning involves material replenishment cycles, material storage locations, and transportation methods. By tracking material consumption in real time and combining it with production progress, replenishment strategies are developed. For example, if the daily consumption rate of materials is known during production, the timeliness and stability of material supply can be ensured by setting lead times and safety stock.

[0043] Furthermore, the production line includes: a component assembly production line and an overall assembly and testing production line.

[0044] Furthermore, based on satellite manufacturing processes, process planning is carried out on the production line, including: process planning for the component assembly production line and the overall assembly and testing production line respectively.

[0045] According to some embodiments of this disclosure, based on the manufacturing process of flat-panel satellites, the production and assembly process is decomposed into two production lines: one is a component assembly line (referred to as sub-assembly), and the other is a general assembly and testing line (referred to as final assembly and testing). When planning the process, the process planning is carried out separately for the two lines to ensure smooth connection between the processes.

[0046] Furthermore, optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of workstations on the production line based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and work efficiency.

[0047] Furthermore, the calculation formula used when calculating the number of workstations on the production line includes:

[0048] in, Indicates the number of workstations on the production line; Indicates the number of workstations corresponding to processes that cannot be merged; Indicates the total assembly time; This indicates the assembly time required for processes that cannot be combined. Indicates beat time; Indicates work efficiency.

[0049] According to some embodiments of this disclosure, to ensure capacity balance, the number of workstations on the production line is calculated based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and operating efficiency. Assuming the number of workstations corresponding to the number of non-mergeable processes is 5, the total assembly time is 1000 hours, the assembly time occupied by non-mergeable processes is 100 hours, the cycle time is 10 hours, the operating efficiency is 0.9, and the number of workstations... That means 105 workstations need to be set up.

[0050] It should be noted here that cycle time refers to the maximum time interval allowed to produce a product in order to meet customer demand; that is, how often a product is produced. Operational efficiency is calculated from historical production data.

[0051] Furthermore, optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of reserved troubleshooting stations on the production line based on the daily shift schedule, working hours per shift, cycle time, fault troubleshooting probability, fault troubleshooting days, and fluctuation coefficient.

[0052] Furthermore, the calculation formula used when calculating the number of reserved troubleshooting stations on the production line includes:

[0053] in, Indicates the number of reserved troubleshooting workstations; This indicates the number of shifts scheduled for the production line each day; This indicates the number of working hours per shift; Indicates beat time; Indicates the probability of troubleshooting; Indicates the number of days required to troubleshoot the problem; This represents the volatility coefficient.

[0054] According to some embodiments of this disclosure, during the production process, considering possible equipment failures or other unforeseen circumstances, a certain number of troubleshooting workstations need to be reserved. The number of reserved troubleshooting workstations on the production line is calculated based on the daily shift schedule, working hours per shift, cycle time, failure troubleshooting probability, failure troubleshooting days, and fluctuation coefficient. Assuming there are 3 shifts per day, 8 working hours per shift, a cycle time of 10 hours per piece, a failure troubleshooting probability of 0.05, an average failure troubleshooting days of 2 days, and a fluctuation coefficient of 1.2, the number of reserved troubleshooting workstations is... That is, the number of troubleshooting stations reserved is 0.72. Considering the rounding principle, one station can be reserved for equipment failure repair to ensure that the production line can operate smoothly in the event of a failure.

[0055] According to some embodiments of this disclosure, the fluctuation coefficient The calculation formula is as follows:

[0056] in, This indicates the average number of days to troubleshoot. This represents the average number of days to troubleshoot a problem, based on the longest number of days to resolve the problem. For example, the set of days for 9 troubleshooting attempts is D: D={2, 3, 3, 4, 5, 6, 6, 8, 9} Set D corresponds to the volatility coefficient The calculation method is as follows:

[0057] Take the sample of the longest troubleshooting time: 6, 8, 9.

[0058]

[0059]

[0060] Furthermore, the layout planning of the production line after process planning optimization is carried out through simulation, including: generating several layout planning schemes, and selecting the layout planning scheme with the highest production efficiency from the several layout planning schemes as the target layout planning scheme through simulation.

[0061] According to some embodiments of this disclosure, after obtaining a variety of feasible assembly line layout schemes, such as linear layout, U-shaped layout, rectangular or circular layout, and parallel multi-line layout, computer simulation and evaluation tools can be used to determine the production efficiency of different layout schemes through simulation during the planning stage, so as to select the layout form with the highest production efficiency.

[0062] Furthermore, logistics planning is carried out based on the layout of the production line, including calculating material replenishment thresholds based on procurement lead time, daily material consumption rate, and safety stock.

[0063] Furthermore, the calculation formula used when calculating the material replenishment threshold includes:

[0064] in, Indicates the material replenishment threshold; Indicates the lead time for procurement; Indicates the daily consumption rate of materials; This indicates safety stock.

[0065] According to some embodiments of this disclosure, in production line material supply management, the material replenishment threshold (replenishment point) for general-purpose materials should be determined based on the procurement lead time, daily material consumption rate, and safety stock. For example, assuming a procurement lead time of 7 days, a daily material consumption rate of 10 units per day, and a safety stock of 30 units, then the replenishment point... Therefore, when the inventory is below 100 units, materials need to be replenished to ensure the production line continues to operate and avoid production stoppages due to material shortages.

[0066] Based on the same technological concept, such as Figure 4 As shown, this disclosure also proposes a flat-panel satellite production line design system, including: The capacity calculation module is configured to calculate assembly line capacity requirements based on order information and historical production data. The process planning module is configured to: perform process planning on the production line based on satellite production processes; The planning optimization module is configured to optimize the process planning of the production line according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout planning module is configured to: perform layout planning on the production line after process planning optimization through simulation. The logistics planning module is configured to perform logistics planning based on the layout of the production line.

[0067] This disclosure also proposes a flat-panel satellite production line, which is designed based on the above-described flat-panel satellite production line design method.

[0068] like Figure 5 As shown, this disclosure also proposes an electronic device, including a memory and a processor, wherein the memory stores a computer program or instructions, and when the computer program or instructions are executed by the processor, they are used to at least implement the above-described flat-panel satellite production line design method.

[0069] like Figure 6 As shown, this disclosure also proposes a computer-readable storage medium storing a computer program or instructions, which, when executed by a processor, are used to implement at least the above-described flat-panel satellite production line design method.

[0070] This disclosure also proposes a computer program product stored in a computer-readable storage medium, which, when executed by a processor, is used to at least implement the above-described flat-panel satellite production line design method.

[0071] It is obvious that those skilled in the art can make various modifications and variations to this disclosure without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims of this disclosure and their equivalents, this disclosure is also intended to include such modifications and variations.

Claims

1. A design method for a flat-panel satellite production line, characterized in that, include: Calculate assembly line capacity requirements based on order information and historical production data; Process planning for the production line based on satellite manufacturing technology; The process planning of the production line is optimized according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout of the production line after process planning optimization is planned through simulation. Logistics planning is carried out based on the layout plan of the production line.

2. The method as described in claim 1, characterized in that, The production line includes: a component assembly production line and an overall assembly and testing production line.

3. The method as described in claim 2, characterized in that, The process planning for the production line based on satellite manufacturing technology includes: planning the process for the component assembly production line and the overall assembly and testing production line respectively.

4. The method as described in claim 1, characterized in that, Optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of workstations of the production line based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and work efficiency.

5. The method as described in claim 4, characterized in that, The calculation formula used when calculating the number of workstations on the production line includes: in, Indicates the number of workstations on the production line; Indicates the number of workstations corresponding to processes that cannot be merged; Indicates the total assembly time; This indicates the assembly time required for processes that cannot be combined. Indicates beat time; Indicates work efficiency.

6. The method as described in claim 5, characterized in that, Optimizing the process planning of the production line according to the assembly line capacity requirements also includes: calculating the number of reserved troubleshooting stations for the production line based on the daily shift schedule, working hours per shift, cycle time, fault troubleshooting probability, fault troubleshooting days, and fluctuation coefficient.

7. The method as described in claim 6, characterized in that, The calculation formula used when calculating the number of reserved troubleshooting stations on the production line includes: in, Indicates the number of reserved troubleshooting workstations; This indicates the number of shifts scheduled for the production line each day; This indicates the number of working hours per shift; Indicates beat time; Indicates the probability of troubleshooting; Indicates the number of days required to troubleshoot the problem; This represents the volatility coefficient.

8. The method as described in claim 1, characterized in that, The layout planning of the production line after process planning optimization is carried out through simulation, including: generating several layout planning schemes, and selecting the layout planning scheme with the highest production efficiency as the target layout planning scheme through simulation.

9. The method according to any one of claims 1-8, characterized in that, Logistics planning is carried out based on the layout plan of the production line, including: calculating the material replenishment threshold based on the procurement lead time, daily material consumption rate and safety stock.

10. The method as described in claim 9, characterized in that, The calculation formula used when calculating the material replenishment threshold includes: in, Indicates the material replenishment threshold; Indicates the lead time for procurement; Indicates the daily consumption rate of materials; This indicates safety stock.

11. A flat-panel satellite production line design system, characterized in that, include: The capacity calculation module is configured to calculate the assembly line capacity requirements based on order information and historical production data. The process planning module is configured to: perform process planning on the production line based on satellite production processes; The planning optimization module is configured to optimize the process planning of the production line according to the assembly line capacity requirements, including: assembly line stability planning optimization, assembly line flow planning optimization, assembly line cycle time planning optimization, and assembly line pull planning optimization. The layout planning module is configured to: perform layout planning on the production line after process planning optimization through simulation. The logistics planning module is configured to perform logistics planning based on the layout plan of the production line.

12. The system as claimed in claim 11, characterized in that, The process planning module is configured to calculate the number of workstations on the production line based on the number of workstations corresponding to non-mergeable processes, total assembly time, assembly time occupied by non-mergeable processes, cycle time, and work efficiency. The corresponding calculation formula includes: in, Indicates the number of workstations on the production line; Indicates the number of workstations corresponding to processes that cannot be merged; Indicates the total assembly time; This indicates the assembly time required for processes that cannot be combined. Indicates beat time; Indicates work efficiency.

13. The system as described in claim 12, characterized in that, The planning optimization module is configured to calculate the number of reserved troubleshooting stations on the production line based on the daily shift schedule, working hours per shift, cycle time, fault resolution probability, fault resolution days, and fluctuation coefficient. The corresponding calculation formula includes: in, Indicates the number of reserved troubleshooting workstations; This indicates the number of shifts scheduled for the production line each day; This indicates the number of working hours per shift; Indicates beat time; Indicates the probability of troubleshooting; Indicates the number of days required to troubleshoot the problem; This represents the volatility coefficient.

14. The system as described in claim 13, characterized in that, The logistics planning module is configured to calculate the material replenishment threshold based on the procurement lead time, daily material consumption rate, and safety stock. The corresponding calculation formula includes: in, Indicates the material replenishment threshold; Indicates the lead time for procurement; Indicates the daily consumption rate of materials; This indicates safety stock.

15. A flat-panel satellite production line, characterized in that, The production line is designed based on the method described in any one of claims 1-10.

16. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program or instructions, which, when executed by the processor, are used to implement at least the method described in any one of claims 1-10.

17. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program or instructions, which, when executed by a processor, are at least used to implement the method described in any one of claims 1-10.

18. A computer program product, said computer program product being stored in a computer-readable storage medium, characterized in that, When the computer program product is executed by a processor, it is used to implement at least the method described in any one of claims 1-10.

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