Comprehensive evaluation method and device for micro-assembly flexible production line

Abstract

The invention discloses a comprehensive evaluation method and device for a micro-assembly flexible production line, and relates to the technical field of electronic information manufacturing, and the method comprises the steps: collecting multi-source data of production operation in real time through a production line data interface; based on the data, respectively calculating a quality evaluation value reflecting the quality condition of the production line, an efficiency evaluation value reflecting the resource utilization and beat balance condition of the production line, and a progress evaluation value reflecting the plan completion condition and the progress trend of the production line; the quality evaluation value, the efficiency evaluation value and the progress evaluation value are subjected to weighted fusion, and a comprehensive evaluation value used for evaluating the overall operation state of the production line is generated. By integrating the three-dimensional indexes of quality, efficiency and progress, the problems that a traditional evaluation method is poor in adaptability and high in hysteresis quality in a flexible production line scene are solved, and the evaluation efficiency of the flexible production line is improved. The comprehensive, quantitative and dynamic evaluation of the operation state of the production line is realized, and an effective basis is provided for accurate scheduling and flow optimization.

Description

Technical Field

[0001] This invention relates to the field of electronic information manufacturing technology, specifically to a comprehensive evaluation method and apparatus for a micro-assembly flexible production line. Background Technology

[0002] Micro-assembly flexible production lines, characterized by small batches, multiple varieties, rapid changeover, and reconfigurable process paths, have become a core model for high-end precision manufacturing. However, their operation mechanisms are complex and highly dynamic. Traditional production line evaluation systems are mostly designed for rigid production lines with stable structures and simple processes, relying on a large amount of historical data. Their evaluation is lagging and cannot adapt to the challenges of frequent task changes, dynamic equipment reconfiguration, and multi-process coupling in flexible scenarios.

[0003] Existing technologies suffer from the following problems: quality analysis struggles to trace defects at the process level; efficiency assessment lacks systematic analysis linking cycle time matching, equipment status, and capacity; and schedule control relies on static comparisons, lacking dynamic trend prediction capabilities. This results in opaque production line operating status, delayed bottleneck identification, and difficulty in anticipating delivery risks, thus hindering the maximization of flexible production line efficiency. Summary of the Invention

[0004] In view of the above problems, the present invention provides a comprehensive evaluation method and apparatus for micro-assembly flexible production lines to solve the above technical problems.

[0005] In a first aspect, embodiments of the present invention provide a comprehensive evaluation method for a micro-assembly flexible production line, comprising: Through the data interface integrated into the production line, multi-source data related to production operation in the micro-assembly flexible production line can be collected in real time. Based on the collected multi-source data, a quality evaluation value reflecting the quality status of the production line is calculated. Based on the collected multi-source data, an efficiency evaluation value reflecting the utilization status of production line resources and the cycle balance status is calculated. Based on the collected multi-source data, a progress evaluation value reflecting the completion status and progress trend of the production line plan is calculated; The quality evaluation value, efficiency evaluation value, and progress evaluation value are weighted and integrated to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

[0006] In some embodiments, calculating a quality evaluation value reflecting the production line quality status based on collected multi-source data includes: For each process in the production line, calculate the quality score of that process based on the defect data of its output; The quality scores of each process are aggregated according to the preset process weights to obtain the quality evaluation value.

[0007] In some embodiments, the quality score for each process in the production line is calculated based on the defect data produced, using the following expression: Among them, the quality score of the i-th process The expression is:

[0008] In the formula, This represents the number of type j defects in the i-th process. The preset weights for the j-th type of defect are: Let be the total output of the i-th type of process.

[0009] In some embodiments, the quality scores of each process are aggregated according to a preset process weight to obtain the quality evaluation value, using the following expression:

[0010] In the formula, Let be the relative weight of the i-th process, satisfying , This is the quality evaluation value for the entire production line.

[0011] In some embodiments, calculating the efficiency evaluation value reflecting the production line resource utilization and cycle time balance based on collected multi-source data includes: Calculate the production line balance rate to measure the balance of cycle time in each process. Calculate capacity utilization rate to measure the degree to which the designed capacity of the production line is achieved; Calculate equipment utilization rate, which is used to measure the percentage of effective operating time of equipment; The efficiency evaluation value is obtained by weighting and summing the production line balance rate, capacity utilization rate and equipment operating rate according to preset weights.

[0012] In some embodiments, calculating a progress evaluation value reflecting the completion status and progress trend of the production line plan based on collected multi-source data includes: Calculate the static schedule deviation for the current period to characterize the difference between the planned and actual progress. Calculate the trend deviation increment to predict future progress trends based on deviation data from multiple recent periods; The progress evaluation value is calculated based on the static progress deviation and trend deviation increments, combined with preset weights.

[0013] In some embodiments, the trend deviation increment is calculated using a sliding window mechanism and the following formula:

[0014] In the formula, m is the size of the sliding window, and Pt represents the static progress deviation in the t-th cycle; The progress evaluation value is calculated using the following formula:

[0015] In the formula, As the importance weight of the current state, As the importance weight of trend early warning, and .

[0016] In some embodiments, the efficiency evaluation value is obtained by weighting and summing the production line balance rate, capacity utilization rate, and equipment operating rate according to preset weights, using the following formula:

[0017] In the formula, B is the production line balance rate, U is the capacity utilization rate, and K is the equipment operating rate. , , To preset weights, .

[0018] In some embodiments, the comprehensive evaluation value, which is formed by weighted fusion of the quality evaluation value, efficiency evaluation value, and schedule evaluation value to evaluate the overall operating status of the micro-assembly flexible production line, is calculated using the following formula:

[0019] In the formula, This is a quality evaluation value. As an efficiency evaluation value, This is the progress evaluation value. These are configurable weighting coefficients, and .

[0020] Secondly, embodiments of the present invention provide a comprehensive evaluation device for micro-assembly flexible production lines, the device comprising: The data acquisition module is used to collect multi-source data related to production operation in the micro-assembly flexible production line in real time through the data interface integrated into the production line; The quality evaluation module is used to calculate quality evaluation values ​​that reflect the quality status of the production line based on the collected multi-source data. The efficiency evaluation module is used to calculate efficiency evaluation values ​​that reflect the utilization of production line resources and the balance of cycle time based on the collected multi-source data. The progress evaluation module is used to calculate progress evaluation values ​​that reflect the completion status and progress trend of the production line plan based on the collected multi-source data. The comprehensive evaluation module is used to weight and fuse the quality evaluation value, efficiency evaluation value, and progress evaluation value to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

[0021] Thirdly, embodiments of this application provide an electronic device, including a memory and a processor, wherein the memory stores program code that can run on the processor, and when the program code is executed by the processor, it implements a comprehensive evaluation method for a micro-assembly flexible production line as described in any embodiment of the first aspect.

[0022] Fourthly, embodiments of this application provide a computer storage medium storing one or more programs, which can be executed by an electronic device as described in the third aspect to implement a comprehensive evaluation method for a micro-assembly flexible production line as described in any embodiment of the first aspect.

[0023] This invention provides a comprehensive evaluation method and apparatus for a micro-assembly flexible production line. The method includes: collecting multi-source data related to production operation in the micro-assembly flexible production line in real time through the data interface of the production line integration; calculating a quality evaluation value reflecting the quality status of the production line based on the collected multi-source data; and calculating an efficiency evaluation value reflecting the resource utilization status and cycle time balance status of the production line based on the collected multi-source data. Based on the collected multi-source data, a progress evaluation value reflecting the completion status and progress trend of the production line plan is calculated; By weighting and integrating quality, efficiency, and schedule evaluation values ​​to form a comprehensive evaluation value, the overall operational status of the micro-assembly flexible production line is evaluated. Through the system's integration of evaluation indicators across these three dimensions, a comprehensive, quantitative, and dynamic assessment of the production line's operational status is achieved. This enables rapid location and closed-loop control of process-level quality defects; real-time identification of dynamic bottlenecks, improving resource utilization; and early warning of schedule risks through trend prediction. Ultimately, this provides a reliable quantitative basis for the optimized scheduling and precise management of the flexible production line, significantly improving its overall operational efficiency, response speed, and delivery stability.

[0024] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0025] The invention will now be described in more detail with reference to embodiments and the accompanying drawings.

[0026] Figure 1A schematic flowchart of an exemplary comprehensive evaluation method for a micro-assembly flexible production line proposed in one embodiment of the present invention is shown. Figure 2 The diagram shows a structural block diagram of a micro-assembly flexible production line comprehensive evaluation device proposed in one embodiment of the present invention; Figure 3 A structural block diagram of an electronic device for performing a comprehensive evaluation method for a micro-assembly flexible production line according to an embodiment of this application is shown. Figure 4 A computer-readable storage medium for storing or carrying a comprehensive evaluation method for implementing a micro-assembly flexible production line according to an embodiment of this application is shown. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0028] Micro-assembly flexible production lines, with their characteristics of small-batch production, multi-variety mixed flow, rapid product changeover, and reconfigurable process paths, have become an important production mode in the field of high-end precision manufacturing. Especially in applications such as next-generation electronic devices, MEMS sensors, optoelectronic communication modules, and micro-opto-electro-mechanical systems, which have extremely high requirements for product iteration speed, personalized customization, and assembly precision, micro-assembly flexible production lines, with their high reconfigurability and task responsiveness, greatly improve product development efficiency and manufacturing flexibility, becoming a crucial support platform for modern advanced manufacturing.

[0029] Compared to traditional high-volume rigid production lines, micro-assembly flexible production lines exhibit greater complexity and dynamism in their operating mechanisms, resource allocation, product cycle time, and scheduling logic. Most existing production line evaluation systems are based on stable structures, single processes, and controllable cycles, making them suitable for assembly line-style, long-cycle rigid production lines. These methods often rely on large amounts of historical data, resulting in long data acquisition cycles, delayed evaluation cycles, and a lack of real-time performance. Furthermore, they struggle to provide effective guidance and decision-making in flexible scenarios involving frequent task changes, dynamic equipment reconfiguration, and multi-process coupling.

[0030] According to the applicant's research, especially on micro-assembly flexible production lines, the following typical challenges exist: process paths may be non-linear or have optional branches, rendering traditional serial analysis models ineffective; frequent product changes lead to large batch differences and diverse defect patterns, making it difficult for conventional quality statistics to identify anomalies in a timely manner; multiple devices and channels operate in parallel, and resource utilization efficiency is affected by both cycle time matching and equipment operating status, with bottleneck locations changing dynamically; production plans change in real time with orders, lacking a schedule deviation early warning mechanism, making it difficult to perceive delivery risks in advance.

[0031] Based on this, the applicant proposes a comprehensive evaluation method and device for flexible micro-assembly production lines, which is oriented towards flexible scenarios, has rapid response capabilities, and supports multi-dimensional collaborative evaluation of indicators, addressing the high nonlinearity, high coupling, and high variability characteristics exhibited in micro-assembly scenarios. This method not only covers quality control from single processes to the entire line but also encompasses key indicators such as production line cycle balance, capacity utilization, equipment uptime, and planned progress completion rate. Through a unified data interface and scoring logic, it achieves a comprehensive, quantitative, and traceable dynamic evaluation of the production line's operating status, providing strong support for real-time optimization scheduling, bottleneck identification, and task matching of flexible production lines.

[0032] A comprehensive evaluation method for a micro-assembly flexible production line will be described in detail in subsequent embodiments.

[0033] The following describes an application scenario of the comprehensive evaluation method for a micro-assembly flexible production line provided by an embodiment of the present invention: Please see Figure 1 , Figure 1 This is a schematic flowchart of a comprehensive evaluation method for a micro-assembly flexible production line provided in an embodiment of the present invention. In this embodiment, the comprehensive evaluation method for a micro-assembly flexible production line can be applied to, for example... Figure 2 The micro-assembly flexible production line comprehensive evaluation device 300 shown is neutralizing... Figure 3 In the electronic device 200 shown, the following is specifically for... Figure 1 The process shown is described in detail. A comprehensive evaluation method for a micro-assembly flexible production line may include S110 to S150.

[0034] S110: Through the data interface integrated into the production line, it collects multi-source data related to production operation in the micro-assembly flexible production line in real time.

[0035] In this embodiment of the application, the data interface may include, for example, MES, equipment PLC, sensors, etc., to collect defect types and quantities, and may collect running, standby, and fault times from equipment logs, and planned output and actual output data from the production scheduling system.

[0036] S120: Calculates a quality evaluation value reflecting the quality status of the production line based on collected multi-source data.

[0037] Traditional micro-assembly production lines rely mainly on final inspection and manual experience for quality control, making it difficult to trace the source of defects and conduct process-level quality analysis. This is especially true in flexible small-batch production scenarios, where frequent product changes and unpredictable process paths lead to hidden quality fluctuations and difficulty in timely detection of anomalies, severely impacting the stability of the entire line and the first-pass yield.

[0038] In some implementations, S120 includes: S121: For each process in the production line, calculate the quality score of that process based on the defect data of its output.

[0039] In this embodiment of the application, by quantifying and scoring process-level defects, refined management and source tracing of quality problems are achieved.

[0040] In S121, the quality score of the i-th process is... The expression is:

[0041] In the formula, This represents the number of type j defects in the i-th process. The preset weight for the j-th type of defect can be configured according to the severity of the defect. Let be the total output of the i-th type of process. This model can dynamically respond to changes in defect patterns.

[0042] S122: Aggregate the quality scores of each process according to the preset process weights to obtain the quality evaluation value.

[0043] In this embodiment of the application, by configuring weights, the criticality of different processes to the quality of the final product can be reflected, making the overall quality assessment more in line with the actual importance of the process.

[0044] In S122, the overall quality evaluation value of the line Use the following expression:

[0045] In the formula, Let be the relative weight of the i-th process, satisfying .

[0046] The product model in this embodiment can sensitively reflect the impact of quality fluctuations in any key process on the overall line quality.

[0047] In this embodiment, a line-wide yield aggregation model is constructed by combining process contribution. This not only enables dynamic capture and visualization of defect information but also identifies key anomalies through process score fluctuation trends, quickly locating problematic processes and achieving closed-loop defect control. This method significantly improves the quality transparency, response speed, and system robustness of micro-assembly flexible production lines under complex processes.

[0048] Given that existing micro-assembly production lines mainly focus on single-equipment or single-process output in terms of resource allocation assessment, they lack systematic linkage analysis of process cycle matching, equipment usage status and capacity execution capabilities. This makes it difficult to identify bottleneck processes and resource idleness issues, often resulting in operational obstacles such as "local overload - line blockage" or "critical station waiting - capacity loss," which seriously restricts flexible scheduling and output efficiency.

[0049] S130: Based on the collected multi-source data, calculate the efficiency evaluation value that reflects the resource utilization and cycle time balance of the production line.

[0050] In some implementations, S130 includes: S131: Calculate the production line balance rate, which is used to measure the balance of cycle time of each process.

[0051] In this embodiment of the application, the production line balance rate is used to measure the degree of balance of the process cycle time, and the calculation formula is as follows:

[0052] In the formula, Let i be the average processing time of the i-th process. This refers to the processing time for bottleneck processes.

[0053] S132: Calculate capacity utilization rate, which is used to measure the degree to which the designed capacity of the production line is realized.

[0054] In this embodiment, capacity utilization rate is used to measure the degree to which the design capacity is realized, and the calculation formula is as follows:

[0055] In the formula, Qa represents the actual output quantity within a certain time period; Qd represents the theoretical design output capacity within the same time period.

[0056] S133: Calculate equipment utilization rate, which is used to measure the percentage of effective operating time of equipment.

[0057] In this embodiment, the equipment utilization rate is used to reflect the actual operating status of the equipment, and the calculation formula is as follows:

[0058] In the formula, This refers to the total time that the equipment is in an "effective operating state" (processing / inspection / movement, etc.), excluding standby, fault, and downtime. This refers to the available operating time of the equipment within the current shift, day, or evaluation period, which is the theoretically working time period, usually expressed as: shift time - planned downtime.

[0059] S134: The production line balance rate, capacity utilization rate and equipment operating rate are weighted and summed according to preset weights to obtain the efficiency evaluation value.

[0060] In this embodiment of the application, the efficiency evaluation value is calculated using the following formula:

[0061] In the formula, B is the production line balance rate, U is the capacity utilization rate, and K is the equipment operating rate. , , To preset weights, It can be dynamically configured according to the production line's focus.

[0062] The model in this embodiment can quickly analyze bottleneck processes and resource waste under different flexible configurations, effectively improving operational efficiency.

[0063] In this embodiment, a balance model centered on production line cycle time is constructed. Combining capacity utilization and equipment uptime data, a weighted efficiency score is generated and can be embedded in a scheduling system for bottleneck identification and resource reallocation. When facing dynamic situations such as process adjustments and task switching, this model can reflect the resource scheduling matching degree in real time, assisting maintenance personnel in timely balance optimization and effectively improving output per unit time and overall resource utilization.

[0064] Considering that traditional micro-assembly production lines mostly assess task completion through static planning and daily output comparison in production progress control, they lack the ability to dynamically perceive and predict progress fluctuation trends. Especially in scenarios with dense delivery nodes and frequent task changes, delivery risks are prone to occur, such as being unaware in the early stages, being forced to catch up in the middle stages, and then experiencing a concentrated outbreak in the later stages.

[0065] S140: Based on the collected multi-source data, calculate the progress evaluation value that reflects the completion status and progress trend of the production line plan.

[0066] In some embodiments, S140 includes: S141: Calculate the static schedule deviation for the current period, which is used to characterize the difference between the planned and actual progress.

[0067] In this embodiment of the application, the formula for calculating the static schedule deviation score is as follows:

[0068] Where, Qa is the actual output quantity within a certain time period; Qd is the theoretical design output capacity within the same time period.

[0069] S142: Calculate the trend deviation increment, which is used to predict the future progress change trend based on the deviation data of multiple recent cycles.

[0070] In the embodiment of the present application, the trend deviation increment is calculated through a sliding window mechanism and is calculated using the following formula:

[0071] Where, m is the size of the sliding window, and Pt represents the static progress deviation of the t-th cycle.

[0072] Specifically, in this step, the future progress fluctuation trend can be pre-warned, and the discrimination rules are set as follows: Green (safe): ΔP ≤ 0, the deviation converges, no intervention is required; Yellow (attention): 0 < ΔP < Twarn, the deviation tends to expand, it is recommended to check the bottleneck process; Red (warning): ΔP ≥ Twarn, the deviation expands significantly, and immediate intervention (such as rescheduling) should be carried out.

[0073] Where, Twarn is the preset warning threshold, such as 2%.

[0074] S143: Calculate the progress evaluation value based on the static progress deviation and the trend deviation increment, in combination with the preset weight.

[0075] The progress evaluation value is calculated using the following formula:

[0076] Where, is the importance weight of the current state, is the importance weight of the trend warning, and is used to balance the current state and future risks, The higher the value, the better the progress control.

[0077] The model in this embodiment is particularly suitable for judging the task controllability under variable work orders, which is convenient for optimizing production scheduling and resource allocation.

[0078] This application introduces the "schedule deviation trend increment" indicator ΔP and models the rate of change of schedule deviation through a sliding time window. This not only determines the current completion rate but also identifies future delay trends and, combined with a schedule scoring function, achieves multi-stage dynamic early warning. This method is predictive, proactive, and strategic, enabling the identification of capacity reinforcement, personnel reallocation, or task splitting solutions before risks become apparent, significantly enhancing the task responsiveness and delivery stability of micro-assembly production lines.

[0079] S150: The quality evaluation value, efficiency evaluation value and schedule evaluation value are weighted and integrated to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

[0080] In this embodiment of the application, to achieve a unified multi-dimensional evaluation, the present invention designs an integrated comprehensive scoring model that can uniformly calculate quality, efficiency, and schedule results. Its expression is:

[0081] In the formula, This is a quality evaluation value. As an efficiency evaluation value, This is the progress evaluation value. Configurable weighting coefficients are used to adjust the relative importance of each dimension in the overall score, and V is a unified comprehensive scoring model for production line operation status, ranging from [0,1].

[0082] The unified production line operation status comprehensive scoring model proposed in this application has good task adaptability, supports dynamic configuration of evaluation weights for different business objectives, and outputs a unified operation score V, which can serve as a quantitative basis for flexible production line performance evaluation, bottleneck diagnosis, and scheduling decisions.

[0083] In practical applications, a score result V can be generated once per shift or per day. The higher the V, the more suitable it is for undertaking critical orders and urgent tasks; those with a consistently stable V are suitable for executing long-cycle, highly consistent tasks.

[0084] The specific application process is as follows: Taking a high-end communication module manufacturing company as an example, it uses a micro-assembly flexible production line to carry out small-batch, multi-variety customized production. Its main products include high-speed optoelectronic converters, optical communication connectors and other precision devices.

[0085] This company's micro-assembly flexible production line has the following characteristics: The process is complex, including 12 key micro-assembly processes such as dispensing, precision mounting, reflow soldering, curing, optical alignment, and functional testing.

[0086] High product diversity: It is necessary to handle more than one major product model, and frequently change products and switch production tasks every day according to order requirements.

[0087] Non-fixed logistics paths: Due to process requirements, there are optional branches in the logistics paths between processes, and they are not completely sequential.

[0088] The data foundation is sound: the production line has integrated a Manufacturing Execution System (MES), an Automated Optical Inspection (AOI) system, and real-time status monitoring interfaces for key equipment, which provides the data acquisition conditions required to implement this invention.

[0089] Before applying this invention, the following prominent problems were faced in production line operation management: The root causes of quality fluctuations are difficult to pinpoint. When final testing reveals product defects, it's challenging to quickly identify the specific process originating the problem, leading to lengthy quality improvement cycles. Efficiency bottlenecks are dynamically changing. Due to variations in product models and significant differences in processing times across processes, the location of bottleneck processes shifts dynamically with task changes, resulting in low overall equipment utilization. Progress management is lagging and reactive. Production progress assessment relies on a simple comparison of daily plans and actual output, failing to anticipate delay risks. Often, tasks are only discovered to be unfinished close to delivery deadlines, leaving the process largely reactive.

[0090] To address the layout challenges faced by this enterprise, a comprehensive evaluation method for deploying the micro-assembly flexible production line of this invention was implemented in the enterprise's flexible production line, and the following operations were performed: Collect AOI defect data for each process and construct process scores. And synthesize the overall line quality score according to the weights. ; Extract runtime, planned time, and output from equipment logs; calculate balance rate B, capacity utilization rate U, and operating rate K; and synthesize them into a single data set. ; Compare planned and actual outputs, calculate the deviation rate P and the trend increase ΔP, and generate a progress score. ; The weights are set to β1=0.4, β2=0.3, and β3=0.3 to generate a comprehensive score V for each shift.

[0091] The continuous evaluation period is 14 days, covering more than 20 different orders and 3 product models. The score is updated once per shift, and a visual report is generated. See Table 1 below for details:

[0092] Table 1 Table 1 shows that the optimization has improved the production line operation as follows: the average daily value of the comprehensive score V has increased from 0.79 at the beginning of deployment to 0.89; the fluctuation of the quality score has decreased, and the scores of specific processes (mounting and welding) have improved significantly.

[0093] In summary, the comprehensive evaluation method and apparatus for a micro-assembly flexible production line provided in this application integrates evaluation indicators of three dimensions: quality, efficiency, and schedule, to comprehensively, quantitatively, and dynamically assess the operating status of the micro-assembly flexible production line.

[0094] Please see Figure 2 , Figure 2 This invention provides a structural block diagram of a comprehensive evaluation device for a micro-assembly flexible production line. The device includes: a data acquisition module 310, a quality evaluation module 320, an efficiency evaluation module 330, a progress evaluation module 340, and a comprehensive evaluation module 350, wherein: Data acquisition module 310 is used to collect multi-source data related to production operation in the micro-assembly flexible production line in real time through the data interface integrated with the production line; The quality evaluation module 320 is used to calculate a quality evaluation value that reflects the quality status of the production line based on the collected multi-source data. The efficiency evaluation module 330 is used to calculate an efficiency evaluation value that reflects the utilization of production line resources and the balance of cycle time based on the collected multi-source data. The progress evaluation module 340 is used to calculate the progress evaluation value, which reflects the completion status and progress trend of the production line plan, based on the collected multi-source data. The comprehensive evaluation module 350 is used to weight and integrate the quality evaluation value, efficiency evaluation value and progress evaluation value to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

[0095] It should be noted that the device embodiments in this invention correspond to the aforementioned method embodiments. The specific principles in the device embodiments can be found in the content of the aforementioned method embodiments, and will not be repeated here.

[0096] In the several embodiments provided in this example, the coupling between modules can be electrical, mechanical, or other forms of coupling.

[0097] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0098] Please see Figure 3 , Figure 3This application provides a structural block diagram of an electronic device 200 that can perform the comprehensive evaluation method of a micro-assembly flexible production line described above. The electronic device 200 may be a smartphone, tablet computer, computer, or portable computer.

[0099] The electronic device 200 also includes a processor 202 and a memory 204. The memory 204 stores programs that can execute the contents of the foregoing embodiments, and the processor 202 can execute the programs stored in the memory 204.

[0100] The processor 202 may include one or more cores for data processing and message matrix units. The processor 202 connects to various parts within the electronic device 200 using various interfaces and lines, and performs various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 204, and by calling data stored in the memory 204. Optionally, the processor 202 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 202 may integrate one or more of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem / decoder. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the displayed content; and the modem / decoder handles wireless communication. It is understood that the modem / decoder may also be implemented separately as a communication chip, without being integrated into the processor.

[0101] Memory 204 may include random access memory (RAM) or read-only memory (ROM). Memory 204 can be used to store instructions, programs, code, code sets, or instruction sets. Memory 204 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (e.g., instructions for a user to obtain random numbers), instructions for implementing the various method embodiments described below, etc. The data storage area may also store data (e.g., random numbers) created by the terminal during use.

[0102] Electronic device 200 may also include a network module and a screen. The network module is used to receive and transmit electromagnetic waves, converting electromagnetic waves into electrical signals, thereby enabling communication with communication networks or other devices, such as audio playback devices. The network module may include various existing circuit elements used to perform these functions, such as antennas, radio frequency transceivers, digital signal processors, encryption / decryption chips, SIM cards, memory, etc. The network module can communicate with various networks such as the Internet, corporate intranets, and wireless networks, or communicate with other devices via wireless networks. The aforementioned wireless networks may include cellular telephone networks, wireless local area networks, or metropolitan area networks. The screen can display interface content and facilitate data interaction.

[0103] Please refer to Figure 4 , Figure 4 This diagram illustrates a structural block diagram of a computer-readable storage medium according to an embodiment of this application. The computer-readable storage medium 400 stores program code 410, which can be called by a processor to execute the methods described in the above method embodiments.

[0104] The computer-readable storage medium 400 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium 400 has storage space for program code 410 that performs any of the method steps described above. This program code 410 can be read from or written to one or more computer program products. The program code 410 may be compressed, for example, in a suitable form.

[0105] This application also provides a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform a comprehensive evaluation method for a micro-assembly flexible production line described in the various optional implementations above.

[0106] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive evaluation method for a micro-assembly flexible production line, characterized in that, include: Through the data interface integrated into the production line, multi-source data related to production operation in the micro-assembly flexible production line can be collected in real time. Based on the collected multi-source data, a quality evaluation value reflecting the quality status of the production line is calculated. Based on the collected multi-source data, an efficiency evaluation value reflecting the utilization status of production line resources and the cycle balance status is calculated. Based on the collected multi-source data, a progress evaluation value reflecting the completion status and progress trend of the production line plan is calculated; The quality evaluation value, efficiency evaluation value, and progress evaluation value are weighted and integrated to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

2. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 1, characterized in that, The calculation of quality evaluation values ​​reflecting the production line quality status based on collected multi-source data includes: For each process in the production line, calculate the quality score of that process based on the defect data of its output; The quality scores of each process are aggregated according to the preset process weights to obtain the quality evaluation value.

3. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 2, characterized in that, For each process in the production line, a quality score is calculated based on the defect data of its output, using the following expression: Among them, the quality score of the i-th process The expression is: In the formula, This represents the number of type j defects in the i-th process. The preset weights for the j-th type of defect are: Let be the total output of the i-th type of process.

4. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 3, characterized in that, The quality scores of each process are aggregated according to preset process weights to obtain the quality evaluation value, which is expressed by the following expression: In the formula, Let be the relative weight of the i-th process, satisfying , This is the quality evaluation value for the entire production line.

5. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 1, characterized in that, The efficiency evaluation value, calculated based on the collected multi-source data, reflecting the resource utilization and cycle time balance of the production line, includes: Calculate the production line balance rate to measure the balance of cycle time in each process. Calculate capacity utilization rate to measure the degree to which the designed capacity of the production line is achieved; Calculate equipment utilization rate, which is used to measure the percentage of effective operating time of equipment; The efficiency evaluation value is obtained by weighting and summing the production line balance rate, capacity utilization rate and equipment operating rate according to preset weights.

6. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 1, characterized in that, The calculation of progress evaluation values, reflecting the completion status and progress trend of the production line plan, based on the collected multi-source data, includes: Calculate the static schedule deviation for the current period to characterize the difference between the planned and actual progress. Calculate the trend deviation increment to predict future progress trends based on deviation data from multiple recent periods; The progress evaluation value is calculated based on the static progress deviation and trend deviation increments, combined with preset weights.

7. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 6, characterized in that, The trend deviation increment is calculated using a sliding window mechanism and the following formula: In the formula, m is the size of the sliding window, and Pt represents the static progress deviation in the t-th cycle; The progress evaluation value is calculated using the following formula: In the formula, As the importance weight of the current state, As the importance weight of trend early warning, and .

8. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 5, characterized in that, The efficiency evaluation value is obtained by weighting and summing the production line balance rate, capacity utilization rate, and equipment operating rate according to preset weights, using the following formula: In the formula, B is the production line balance rate, U is the capacity utilization rate, and K is the equipment operating rate. , , To preset weights, .

9. The comprehensive evaluation method for a micro-assembly flexible production line according to claim 1, characterized in that, The quality evaluation value, efficiency evaluation value, and schedule evaluation value are weighted and fused to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line. The comprehensive evaluation value is calculated using the following formula: In the formula, This is a quality evaluation value. As an efficiency evaluation value, This is the progress evaluation value. These are configurable weighting coefficients, and .

10. A comprehensive evaluation device for a micro-assembly flexible production line, the device comprising: The data acquisition module is used to collect multi-source data related to production operation in the micro-assembly flexible production line in real time through the data interface integrated into the production line; The quality evaluation module is used to calculate quality evaluation values ​​that reflect the quality status of the production line based on the collected multi-source data. The efficiency evaluation module is used to calculate efficiency evaluation values ​​that reflect the utilization of production line resources and the balance of cycle time based on the collected multi-source data. The progress evaluation module is used to calculate progress evaluation values ​​that reflect the completion status and progress trend of the production line plan based on the collected multi-source data. The comprehensive evaluation module is used to weight and fuse the quality evaluation value, efficiency evaluation value, and progress evaluation value to form a comprehensive evaluation value, which is used to evaluate the overall operating status of the micro-assembly flexible production line.

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