Aircraft delivery quality problem management and control method and device, electronic equipment and storage medium

Abstract

The invention provides an aircraft delivery quality problem management and control method and device, electronic equipment and a storage medium, and relates to the technical field of delivery quality problem management and control. The method comprises the following steps: firstly, acquiring a plurality of to-be-processed airplane delivery quality problems, and performing structured processing on each airplane delivery quality problem to form corresponding delivery quality problem structured data; secondly, performing multi-dimensional index evaluation and fusion processing on each piece of delivery quality problem structured data to form a problem typical index corresponding to each piece of delivery quality problem structured data; and then, based on the corresponding problem typical indexes, carrying out classified management and control processing on the plurality of aircraft delivery quality problems, so as to process the aircraft delivery quality problems by adopting corresponding optimization back-penetration measures. On the basis of the content, the problem that in the prior art, the reliability of aircraft delivery quality problem management and control is relatively low can be solved.

Description

Technical Field

[0001] The present application relates to the technical field of delivery quality problem control, and specifically, to a method and device for aircraft delivery quality problem control, an electronic device and a storage medium. Background Art

[0002] The aircraft delivery stage has the characteristics of complicated inspection and acceptance procedures, multiple user requirements, high technical content, multi-departmental coordination, and labor density. Especially in the early stage of product delivery, it often faces a "multi-parallel" delivery situation such as research and development, design, production, and delivery. As a result, the current aircraft manufacturers have frequent quality problems, complex handling processes, and low handling efficiency in the product delivery stage. In other words, in the existing technology, there is a relatively low reliability of aircraft delivery quality problem control, which makes the safety of aircraft operation effectively guaranteed. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a method and device for controlling aircraft delivery quality issues, an electronic device and a storage medium, so as to improve the problem of relatively low reliability of aircraft delivery quality issue control in the prior art.

[0004] To achieve the above objectives, this application adopts the following technical solutions:

[0005] A method for controlling aircraft delivery quality issues, comprising:

[0006] Acquire multiple aircraft delivery quality issues to be processed, and perform structured processing on each of the aircraft delivery quality issues respectively to form delivery quality issue structured data corresponding to each of the aircraft delivery quality issues;

[0007] Perform multi-dimensional indicator evaluation and fusion processing on each of the delivery quality problem structured data to form a typical problem index corresponding to each of the delivery quality problem structured data;

[0008] Based on the typical index of the problem corresponding to each structured data of the delivery quality problem, the multiple aircraft delivery quality problems are classified, controlled and processed, so as to adopt corresponding optimization feedback measures to deal with the aircraft delivery quality problems.

[0009] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem management and control method, the step of obtaining multiple aircraft delivery quality problems to be processed, and performing structured processing on each of the aircraft delivery quality problems respectively to form delivery quality problem structured data corresponding to each of the aircraft delivery quality problems includes:

[0010] Obtained multiple aircraft delivery quality issues to be processed;

[0011] Performing delivery object positioning processing on each of the aircraft delivery quality issues respectively to form spatial positioning description data corresponding to each of the aircraft delivery quality issues;

[0012] Qualitatively process each of the aircraft delivery quality issues respectively to form qualitative description data corresponding to each of the aircraft delivery quality issues;

[0013] For each of the aircraft delivery quality problems, delivery quality problem structured data corresponding to the aircraft delivery quality problem is formed based on the spatial positioning description data corresponding to the aircraft delivery quality problem and the problem qualitative description data corresponding to the aircraft delivery quality problem, wherein the delivery quality problem structured data is stored in a corresponding quality problem structured database.

[0014] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem control method, the step of performing delivery object positioning processing on each of the aircraft delivery quality problems to form spatial positioning description data corresponding to each of the aircraft delivery quality problems includes:

[0015] Determine the spatial position of the delivery object for each of the aircraft delivery quality issues, respectively, to form spatial position description data of the delivery object corresponding to each of the aircraft delivery quality issues, wherein the coordinate system used by the spatial position corresponding to the spatial position description data of the delivery object is consistent with the coordinate system of the corresponding aircraft;

[0016] Determine the delivery object for each of the aircraft delivery quality issues respectively, and form delivery object description data corresponding to each of the aircraft delivery quality issues, wherein the delivery object description data includes first field description data and second field description data, the first field description data is used to reflect the cabin / cover of the delivery object, and the second field description data is used to reflect the drawing number / model of the delivery object;

[0017] For each of the aircraft delivery quality issues, the spatial positioning description data corresponding to the aircraft delivery quality issue is determined based on the delivery object spatial position description data corresponding to the aircraft delivery quality issue and the delivery object description data corresponding to the aircraft delivery quality issue.

[0018] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem control method, the step of performing qualitative quality problem processing on each of the aircraft delivery quality problems to form qualitative problem description data corresponding to each of the aircraft delivery quality problems includes:

[0019] Performing first-level quality problem qualitative processing on each of the aircraft delivery quality problems respectively, and forming first-level problem qualitative description data corresponding to each of the aircraft delivery quality problems, wherein the dimensions of the first-level problem qualitative description data include manufacturing, finished product or design;

[0020] Performing second-level quality problem qualitative processing on each of the aircraft delivery quality problems, respectively, to form second-level problem qualitative description data corresponding to each of the aircraft delivery quality problems, wherein the dimensions of the second-level problem qualitative description data include cable manufacturing, cable installation, conduit manufacturing, conduit installation, surface manufacturing, surface assembly, insurance quality, identification / marking, and function / performance;

[0021] For each of the aircraft delivery quality issues, based on the first-level problem qualitative description data corresponding to the aircraft delivery quality issue and the second-level problem qualitative description data corresponding to the aircraft delivery quality issue, the problem qualitative description data corresponding to the aircraft delivery quality issue is determined.

[0022] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem control method, the step of performing multi-dimensional index evaluation and fusion processing on each of the delivery quality problem structured data to form a typical problem index corresponding to each of the delivery quality problem structured data includes:

[0023] Determine the weight parameter of the evaluation index of each dimension in a plurality of dimensions respectively, wherein the plurality of dimensions include a security dimension, a processing cycle dimension and a repeatability dimension;

[0024] For each of the delivery problem structured data, determine the indicator parameters of the evaluation indicator of each dimension of the delivery problem structured data;

[0025] Based on the indicator parameters of the evaluation indicators of each dimension of the delivery problem structured data and the weight parameters of the evaluation indicators of each dimension, the typical problem index corresponding to each delivery quality problem structured data is determined.

[0026] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem control method, the step of determining the problem typicality index corresponding to each delivery quality problem structured data based on the indicator parameters of the evaluation indicators of each dimension of each delivery problem structured data and the weight parameters of the evaluation indicators of each dimension, respectively, includes:

[0027] Fuzzifying the indicator parameters of the evaluation indicators of each dimension of each delivery problem structured data respectively, and outputting the fuzzy number corresponding to each indicator parameter;

[0028] For each dimension of the evaluation index, the fuzzy numbers corresponding to the index parameters corresponding to the evaluation index are statistically processed, and the upper limit and lower limit corresponding to the evaluation index are output;

[0029] For each indicator parameter of the evaluation indicator of each dimension of the delivery problem structured data, respectively calculate the distance between the fuzzy number corresponding to the indicator parameter and the upper limit value and the lower limit value corresponding to the evaluation indicator, and obtain the upper limit distance parameter and the lower limit distance parameter corresponding to the indicator parameter;

[0030] For each of the delivery problem structured data, based on the weight parameters of the evaluation indicators of each dimension, weighted sum calculation is performed on the upper distance parameter and the lower distance parameter corresponding to the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension, so as to obtain the weighted upper distance parameter and the weighted lower distance parameter corresponding to the delivery problem structured data;

[0031] For each delivery problem structured data, based on the weighted upper limit distance parameter and the weighted lower limit distance parameter corresponding to the delivery problem structured data, determine the problem typicality index corresponding to the delivery quality problem structured data.

[0032] In a preferred embodiment of the present application, in the above-mentioned aircraft delivery quality problem control method, the step of classifying and controlling the multiple aircraft delivery quality problems based on the problem typicality index corresponding to each of the delivery quality problem structured data, and adopting corresponding optimization feedback measures to handle the aircraft delivery quality problems includes:

[0033] Based on the size relationship between the typical indexes of the problems corresponding to each of the delivery quality problem structured data, the multiple aircraft delivery quality problems are subjected to a first classification process to determine a first problem type corresponding to each of the aircraft delivery quality problems, wherein the first problem type includes a typical quality problem or a general quality problem, and for each aircraft delivery quality problem of the first problem type belonging to a general quality problem, the aircraft delivery quality problem is assigned to a predetermined problem processing object for corresponding processing;

[0034] For each aircraft delivery quality problem whose first problem type belongs to a typical quality problem, a second classification process is performed on the aircraft delivery quality problem to determine a second problem type corresponding to the aircraft delivery quality problem, wherein the second problem type includes fault type problems, protection type problems, suggestion type problems and data type problems;

[0035] For each aircraft delivery quality problem whose first problem type is a typical quality problem, based on the second problem type corresponding to the aircraft delivery quality problem, the optimization feedback measures corresponding to the aircraft delivery quality problem are determined to handle the aircraft delivery quality problem.

[0036] The present application also provides an aircraft delivery quality problem control device, comprising:

[0037] A problem structured data forming module is used to obtain multiple aircraft delivery quality problems to be processed, and perform structured processing on each of the aircraft delivery quality problems to form delivery quality problem structured data corresponding to each of the aircraft delivery quality problems;

[0038] A problem typicality index forming module is used to perform multi-dimensional index evaluation and fusion processing on each of the delivery quality problem structured data to form a problem typicality index corresponding to each of the delivery quality problem structured data;

[0039] The problem classification, control and processing module is used to classify, control and process the multiple aircraft delivery quality problems based on the problem typicality index corresponding to each of the delivery quality problem structured data, so as to adopt corresponding optimization feedback measures to process the aircraft delivery quality problems.

[0040] Based on the above, the present application also provides an electronic device, including:

[0041] Memory for storing computer programs;

[0042] A processor connected to the memory is used to execute the computer program stored in the memory to implement the above-mentioned aircraft delivery quality problem management method.

[0043] On the basis of the above, the present application also provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is run, each step of the above-mentioned aircraft delivery quality problem control method is executed.

[0044] The aircraft delivery quality problem management and control method and device, electronic device and storage medium provided in the present application first obtain multiple aircraft delivery quality problems to be processed, and perform structured processing on each aircraft delivery quality problem respectively to form corresponding delivery quality problem structured data; secondly, perform multi-dimensional indicator evaluation and fusion processing on each delivery quality problem structured data respectively to form a problem typicality index corresponding to each delivery quality problem structured data; then, based on the corresponding problem typicality index, perform classification management and control on multiple aircraft delivery quality problems, so as to adopt corresponding optimization feedback measures to handle the aircraft delivery quality problems. Based on the above content, since the delivery quality problem structured data will be evaluated and fused with multi-dimensional indicators, the reliability of the obtained problem typicality index can be higher, thereby ensuring that the reliability of the split management and control processing based on the problem typicality index can also be higher. Therefore, the problem of relatively low reliability of aircraft delivery quality problem management and control existing in the prior art can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings.

[0046] Figure 1 A structural block diagram of an electronic device provided in an embodiment of the present application.

[0047] Figure 2 A flowchart of a method for controlling aircraft delivery quality issues provided in an embodiment of the present application.

[0048] Figure 3 A block diagram of an aircraft delivery quality problem control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0050] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0051] like Figure 1As shown, an embodiment of the present application provides an electronic device, wherein the electronic device may include a memory, a processor, and an aircraft delivery quality problem control device.

[0052] In detail, the memory and the processor are electrically connected directly or indirectly to achieve data transmission or interaction. For example, the memory and the processor can be electrically connected through one or more communication buses or signal lines. The aircraft delivery quality problem control device includes at least one software function module stored in the memory in the form of software or firmware. The processor is used to execute an executable computer program stored in the memory, for example, the software function modules and computer programs included in the aircraft delivery quality problem control device, so as to implement the aircraft delivery quality problem control method provided in the embodiment of the present application.

[0053] Optionally, the memory can be, but is not limited to, random access memory (RAM), read only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.

[0054] Furthermore, the processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a system on chip (SoC), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0055] Understandably, Figure 1 The structure shown is for illustration only, and the electronic device may also include Figure 1 More or fewer components as shown, or with Figure 1 The different configurations shown, for example, may also include a communication unit for exchanging information with other devices.

[0056] Combination Figure 2The embodiment of the present application also provides an aircraft delivery quality problem control method applicable to the above electronic device. Among them, the method steps defined in the process related to the aircraft delivery quality problem control method can be implemented by the electronic device.

[0057] The following will Figure 2 The specific process shown is explained in detail.

[0058] Step S110, obtaining multiple aircraft delivery quality issues to be processed, and performing structured processing on each of the aircraft delivery quality issues respectively, to form delivery quality issue structured data corresponding to each of the aircraft delivery quality issues.

[0059] In an embodiment of the present application, the electronic device may obtain multiple aircraft delivery quality issues to be processed, and perform structured processing on each of the aircraft delivery quality issues to form delivery quality issue structured data corresponding to each of the aircraft delivery quality issues. Exemplarily, the multiple aircraft delivery quality issues may be for the current time period or for multiple time periods.

[0060] Step S120, performing multi-dimensional indicator evaluation and fusion processing on each of the delivery quality problem structured data, to form a typical problem index corresponding to each of the delivery quality problem structured data.

[0061] In an embodiment of the present application, the electronic device can perform multi-dimensional index evaluation and fusion processing on each of the delivery quality problem structured data to form a problem typicality index corresponding to each of the delivery quality problem structured data. For example, the problem typicality index can be used to reflect the typicality or importance of the corresponding aircraft delivery quality problem.

[0062] Step S130, based on the typical problem index corresponding to each of the delivery quality problem structured data, the multiple aircraft delivery quality problems are classified, controlled and processed, so as to adopt corresponding optimization feedback measures to process the aircraft delivery quality problems.

[0063] In an embodiment of the present application, the electronic device can classify, control and process the multiple aircraft delivery quality problems based on the typical index of the problem corresponding to each of the delivery quality problem structured data, so as to adopt corresponding optimization feedback measures to handle the aircraft delivery quality problems. In other words, aircraft delivery quality problems of different categories can be handled by different optimization feedback measures, wherein optimization feedback measures is a management and quality control term, which is usually used to guide and improve the relevant steps and measures after handling problems or quality incidents. Specifically, it refers to a plan to take measures to avoid the recurrence of similar problems or reduce their impact after a problem (such as defects in production, etc.) is identified and handled.

[0064] Based on the above content, since the structured data of delivery quality problems will be evaluated and fused with multi-dimensional indicators, the reliability of the obtained typical index of the problem can be higher, thereby ensuring that the reliability of the split control processing based on the typical index of the problem can also be higher. Therefore, the problem of relatively low reliability of aircraft delivery quality problem control in the existing technology can be improved.

[0065] First, it should be noted that for step S110, the specific method of performing structured processing on each aircraft delivery quality issue is not limited and can be selected according to actual needs.

[0066] For example, in an alternative implementation, in order to improve the reliability of structured processing and make the formed delivery quality problem structured data convenient for subsequent search applications, the above-mentioned step S110 may further include step S111, step S112, step S113 and step S114, and the specific content of each step is described as follows.

[0067] Step S111, obtaining multiple aircraft delivery quality issues to be processed.

[0068] In an embodiment of the present application, multiple aircraft delivery quality issues to be processed may be obtained first. For example, all aircraft delivery quality issues may be obtained, or only some aircraft delivery quality issues may be obtained. The specific selection may be made based on actual conditions.

[0069] Step S112, performing delivery object positioning processing on each of the aircraft delivery quality issues respectively, and forming spatial positioning description data corresponding to each of the aircraft delivery quality issues.

[0070] In an embodiment of the present application, delivery object positioning processing can be performed on each of the aircraft delivery quality issues respectively to form spatial positioning description data corresponding to each of the aircraft delivery quality issues, so that rapid positioning can be performed through the spatial positioning description data.

[0071] Step S113, performing qualitative processing on each of the aircraft delivery quality problems respectively, to form qualitative description data corresponding to each of the aircraft delivery quality problems.

[0072] In an embodiment of the present application, each of the aircraft delivery quality problems may be qualitatively processed to form qualitative description data corresponding to each of the aircraft delivery quality problems, thereby achieving type determination of the aircraft delivery quality problem.

[0073] Step S114, for each of the aircraft delivery quality problems, based on the spatial positioning description data corresponding to the aircraft delivery quality problem and the problem qualitative description data corresponding to the aircraft delivery quality problem, form delivery quality problem structured data corresponding to the aircraft delivery quality problem.

[0074] In an embodiment of the present application, for each of the aircraft delivery quality problems, delivery quality problem structured data corresponding to the aircraft delivery quality problem can be formed based on the spatial positioning description data corresponding to the aircraft delivery quality problem and the problem qualitative description data corresponding to the aircraft delivery quality problem. For example, the delivery quality problem structured data may include spatial positioning description data and problem qualitative description data. Among them, the delivery quality problem structured data is stored in a corresponding quality problem structured database. It should be noted that the quality problem structured database may also include key field information such as a detailed description of the problem corresponding to the aircraft delivery quality problem, a date of proposal, a zeroing date, a user who proposed the problem, and applicable standards.

[0075] It can be understood that in the above step S112, the specific method of locating the delivery object for each aircraft delivery quality issue is not limited and can be selected according to actual needs.

[0076] For example, in an alternative implementation, in order to improve the reliability of the delivery object positioning processing so that the formed spatial positioning description data has a better positioning effect in the application, the above-mentioned step S112 can further include step S112a, step S112b and step S112c, and the specific content of each step is described as follows.

[0077] Step S112a, performing a delivery object spatial position determination process on each of the aircraft delivery quality issues, and forming delivery object spatial position description data corresponding to each of the aircraft delivery quality issues.

[0078] In an embodiment of the present application, the spatial position determination processing of the delivery object can be performed for each of the aircraft delivery quality issues, respectively, to form the delivery object spatial position description data corresponding to each of the aircraft delivery quality issues. Among them, the coordinate system used for the spatial position corresponding to the delivery object spatial position description data is consistent with the coordinate system of the corresponding aircraft. In other words, based on the spatial position description of the aircraft delivery quality issue, it can be divided into 6 directions according to the geometric spatial position: front, back, up, down, left, and right. The coordinate system should be consistent with the coordinate system of the aircraft, and it is stipulated that the direction consistent with the aircraft heading is "front" and otherwise it is "back".

[0079] Step S112b, performing delivery object determination processing on each of the aircraft delivery quality issues, and forming delivery object description data corresponding to each of the aircraft delivery quality issues.

[0080] In the embodiment of the present application, the delivery object determination processing can also be performed on each of the aircraft delivery quality issues to form the delivery object description data corresponding to each of the aircraft delivery quality issues. The delivery object description data includes first field description data and second field description data, the first field description data is used to reflect the cabin / cover of the delivery object, and the second field description data is used to reflect the drawing number / model of the delivery object.

[0081] Step S112c, for each of the aircraft delivery quality issues, based on the delivery object spatial position description data corresponding to the aircraft delivery quality issue and the delivery object description data corresponding to the aircraft delivery quality issue, determine the spatial positioning description data corresponding to the aircraft delivery quality issue.

[0082] In an embodiment of the present application, for each of the aircraft delivery quality issues, the spatial positioning description data corresponding to the aircraft delivery quality issue can be determined based on the delivery object spatial position description data corresponding to the aircraft delivery quality issue and the delivery object description data corresponding to the aircraft delivery quality issue, that is, the spatial positioning description data can include the delivery object spatial position description data and the delivery object description data.

[0083] It can be understood that in the above step S113, the specific method of qualitatively processing each aircraft delivery quality problem is not limited and can be selected according to actual needs.

[0084] For example, in an alternative implementation, in order to improve the reliability of qualitative processing of quality problems, so that the formed qualitative description data of the problems can ensure the reliability of subsequent determination of typical indexes of the problems, the above-mentioned step S113 can further include step S113a, step S113b and step S113c, and the specific contents of each step are described as follows.

[0085] Step S113a, performing first-level qualitative processing on each of the aircraft delivery quality problems, respectively, to form first-level qualitative description data corresponding to each of the aircraft delivery quality problems.

[0086] In an embodiment of the present application, each of the aircraft delivery quality problems can be subjected to first-level qualitative processing of quality problems, respectively, to form first-level qualitative description data of problems corresponding to each of the aircraft delivery quality problems. Among them, the dimensions of the first-level qualitative description data of problems include manufacturing, finished product, or design. In other words, it can be determined first which of the three dimensions of manufacturing, finished product, or design the aircraft delivery quality problem belongs to. It should be noted that these three dimensions are formed based on the classification of historical aircraft delivery quality problems. In other implementations, other numbers of dimensions can also be formed.

[0087] Step S113b, performing second-level quality problem qualitative processing on each of the aircraft delivery quality problems, to form second-level problem qualitative description data corresponding to each of the aircraft delivery quality problems.

[0088] In the embodiment of the present application, after obtaining the corresponding first-level qualitative description data of the problem, the second-level qualitative processing of the quality problem of each aircraft delivery quality problem can be performed respectively to form the second-level qualitative description data of the problem corresponding to each aircraft delivery quality problem. Among them, the dimensions of the second-level qualitative description data of the problem include cable manufacturing, cable installation, conduit manufacturing, conduit installation, surface manufacturing, surface assembly, insurance quality, identification / marking, function / performance, and these dimensions can also be formed by classification based on historical aircraft delivery quality problems.

[0089] Step S113c, for each of the aircraft delivery quality problems, based on the first-level problem qualitative description data corresponding to the aircraft delivery quality problem and the second-level problem qualitative description data corresponding to the aircraft delivery quality problem, determine the problem qualitative description data corresponding to the aircraft delivery quality problem.

[0090] In an embodiment of the present application, after obtaining the first-level qualitative description data of the problem and the second-level qualitative description data of the problem, the qualitative description data of the problem corresponding to the aircraft delivery quality problem can be determined for each of the aircraft delivery quality problems based on the first-level qualitative description data of the problem corresponding to the aircraft delivery quality problem and the second-level qualitative description data of the problem corresponding to the aircraft delivery quality problem. That is to say, the qualitative description data of the problem can include the first-level qualitative description data of the problem and the second-level qualitative description data of the problem. By way of example, in some other implementations, the third-level qualitative description data of the problem can also be included. In addition, when encountering a new aircraft delivery quality problem and it is impossible to find suitable second-level qualitative description data of the problem and third-level qualitative description data of the problem, the existing categories can be expanded and modified.

[0091] Secondly, it should be noted that for step S120, the specific method of performing multi-dimensional indicator evaluation and fusion processing is not limited and can be selected according to actual needs.

[0092] For example, in an alternative implementation, in order to reliably perform multi-dimensional indicator evaluation and fusion processing so that the representation ability of the formed typical problem index is better, the above-mentioned step S120 can further include step S121, step S122 and step S123, and the specific content of each step is described as follows.

[0093] Step S121, respectively determine the weight parameters of the evaluation indicators of each dimension in the multiple dimensions.

[0094] In an embodiment of the present application, the weight parameters of the evaluation indicators of each dimension in the multiple dimensions are determined respectively. Wherein, the multiple dimensions include a security dimension, a processing cycle dimension, and a repeatability dimension. Based on this, in one embodiment, the weight parameter corresponding to the security dimension can be 0.63, the weight parameter corresponding to the processing cycle dimension can be 0.18, and the weight parameter corresponding to the repeatability dimension can be 0.19. It is understood that in other embodiments, there may be a greater number of dimensions, or there may be different dimensions.

[0095] Step S122: for each delivery problem structured data, determine the indicator parameters of the evaluation indicator of each dimension of the delivery problem structured data.

[0096] In an embodiment of the present application, for each of the delivery problem structured data, the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension are determined respectively, such as the indicator parameters in the security dimension, the indicator parameters in the processing cycle dimension, and the indicator parameters in the repeatability dimension. Exemplarily, among the indicator parameters, S1 indicates that the impact is extremely low, S2 indicates that the impact is very low, S3 indicates that the impact is very low, S4 indicates that the impact is low, S5 indicates that the impact is average, S6 indicates that the impact is high, S7 indicates that the impact is very high, S8 indicates that the impact is very high, and S9 indicates that the impact is extremely high. For the "repetition degree", the "repetition degree" of the problem can be automatically calculated based on the five fields of the delivery problem structured data "cabin space / cover + drawing number / model + primary classification + secondary classification + tertiary classification". If the five fields of two delivery problem structured data are completely consistent, the two problems are considered to be repeated problems. The repetition quantification value of the delivery quality problem is obtained according to the number of problem repetitions within a certain period of time. The specific quantification method can be: S1=1 time, S2=2 times, S3=3 times, S4=4 times, S5=5 times, S6=6 times, S7=7 times, S8=8 times, S9=9 times and above. For the "processing cycle", the indicator can be quantified according to the proportion of the actual processing time (in the total processing time), for example, S1 = (0, 10%], S2 = (10%, 20%], S3 = (20%-30%], S4 = (30%-40%], S5 = (40%-50%], S6 = (50%-60%], S7 = (60%-70%], S8 = (70%-80%], S9 = (80%-90%], S10 = (90% -100%]. For the quantitative standard of "safety", the "safety" index of quality problems can be quantified according to the severity of the consequences that may be caused by the failure. The specific rules can be: S1 = problems that do not affect flight safety, such as surface scratches, etc.; S2, S3 = observation items that may cause Level IV accidents; S4, S5 = observation items that may cause Level III accidents, S6, S7 = observation items that may cause Level II accidents, S8, S9 = observation items that may cause Level I accidents.

[0097] Step S123, determining the problem typicality index corresponding to each delivery quality problem structured data based on the indicator parameters of the evaluation indicators of each dimension of each delivery problem structured data and the weight parameters of the evaluation indicators of each dimension.

[0098] In an embodiment of the present application, after obtaining the indicator parameters of the evaluation indicators of each dimension and the weight parameters of the evaluation indicators of each dimension, the problem typicality index corresponding to each delivery quality problem structured data can be determined based on the indicator parameters of the evaluation indicators of each dimension and the weight parameters of the evaluation indicators of each dimension of the delivery problem structured data. In this way, multi-dimensional indicator evaluation and fusion processing can be achieved.

[0099] It can be understood that, in the above step S123, the specific method of determining the problem typicality index corresponding to each delivery quality problem structured data is not limited and can be selected according to actual needs.

[0100] For example, in an alternative implementation, in order to ensure the reliability of determining the typical problem index corresponding to each of the delivery quality problem structured data, the above-mentioned step S123 may further include step S123a, step S123b, step S123c, step S123d and step S123e, and the specific content of each step is described as follows.

[0101] Step S123a, fuzzifying the indicator parameters of the evaluation indicators of each dimension of the delivery problem structured data respectively, and outputting the fuzzy number corresponding to each indicator parameter.

[0102] In an embodiment of the present application, the indicator parameters of the evaluation indicators of each dimension of the delivery problem structured data can be fuzzified respectively, and the fuzzy number corresponding to each indicator parameter can be output. For example, in a specific application, extremely low impact S1 can be converted into a fuzzy number (0, 0, 0, 20), very low impact S2 can be converted into a fuzzy number (0, 0, 20, 40), very low impact S3 can be converted into a fuzzy number (0, 20, 20, 40), low impact S4 can be converted into a fuzzy number (0, 20, 50, 70), average impact S5 can be converted into a fuzzy number (30, 50, 50, 70), high impact S6 can be converted into a fuzzy number (30, 50, 80, 100), very high impact S7 can be converted into a fuzzy number (60, 80, 80, 100), very high impact S8 can be converted into a fuzzy number (60, 80, 100, 100), and extremely high impact S9 can be converted into a fuzzy number (80, 100, 100, 100).

[0103] Step S123b, for each dimension of the evaluation index, statistically process the fuzzy numbers corresponding to the index parameters corresponding to the evaluation index, and output the upper limit value and the lower limit value corresponding to the evaluation index.

[0104] In an embodiment of the present application, for the evaluation index of each dimension, the fuzzy numbers corresponding to each index parameter corresponding to the evaluation index can be statistically processed to output the upper limit value and the lower limit value corresponding to the evaluation index, that is, to determine the maximum value and the minimum value therein.

[0105] Step S123c, for each indicator parameter of the evaluation indicator in each dimension of the delivery problem structured data, calculate the distance between the fuzzy number corresponding to the indicator parameter and the upper limit value and lower limit value corresponding to the evaluation indicator, and obtain the upper limit distance parameter and lower limit distance parameter corresponding to the indicator parameter.

[0106] In the embodiment of the present application, for each indicator parameter of the evaluation indicator of each dimension of the delivery problem structured data, the distance between the fuzzy number corresponding to the indicator parameter and the upper limit value and lower limit value corresponding to the evaluation indicator can be calculated respectively to obtain the upper limit distance parameter and lower limit distance parameter corresponding to the indicator parameter. For example, the fuzzy number is (a1, a2, a3, a4), the upper limit value is (s1, s2, s3, s4), and the distance is {((a1-s1) 2 +(a2-s2) 2 +(a3-s3) 2 +(a4-s4) 2 ) / 4} (1 / 2) .

[0107] Step S123d, for each of the delivery problem structured data, based on the weight parameters of the evaluation indicators of each dimension, weighted summation is performed on the upper distance parameters and lower distance parameters corresponding to the indicator parameters of the evaluation indicators of each dimension of the delivery problem structured data, so as to obtain the weighted upper distance parameters and weighted lower distance parameters corresponding to the delivery problem structured data.

[0108] In an embodiment of the present application, for each of the delivery problem structured data, based on the weight parameters of the evaluation indicators of each dimension, the upper limit distance parameter and the lower limit distance parameter corresponding to the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension can be weighted and summed to obtain the weighted upper limit distance parameter and the weighted lower limit distance parameter corresponding to the delivery problem structured data. That is to say, based on the weight parameters of the evaluation indicators of each dimension, the upper limit distance parameter corresponding to the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension is weighted and summed to obtain the weighted upper limit distance parameter corresponding to the delivery problem structured data; based on the weight parameters of the evaluation indicators of each dimension, the lower limit distance parameter corresponding to the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension is weighted and summed to obtain the weighted lower limit distance parameter corresponding to the delivery problem structured data.

[0109] Step S123e, for each delivery problem structured data, based on the weighted upper limit distance parameter and the weighted lower limit distance parameter corresponding to the delivery problem structured data, determine the problem typicality index corresponding to the delivery quality problem structured data.

[0110] In an embodiment of the present application, after obtaining the corresponding weighted upper distance parameter and weighted lower distance parameter, for each of the delivery problem structured data, the problem typicality index corresponding to the delivery quality problem structured data can be determined based on the weighted upper distance parameter and weighted lower distance parameter corresponding to the delivery problem structured data. For example, in a specific application, the sum of the weighted upper distance parameter and the weighted lower distance parameter can be calculated, and then the ratio between the weighted upper distance parameter and the sum can be calculated as the problem typicality index corresponding to the delivery quality problem structured data, as shown in the following table:

[0111]

[0112] Thirdly, it should be noted that for step S130, the specific method of classifying, controlling and handling the multiple aircraft delivery quality issues is not limited and can be selected according to actual needs.

[0113] For example, in an alternative implementation, in order to improve the reliability of classification control processing, the above-mentioned step S130 may further include step S131, step S132 and step S133, and the specific content of each step is described as follows.

[0114] Step S131, based on the size relationship between the typical indexes of the problems corresponding to each of the delivery quality problem structured data, the first classification processing is performed on the multiple aircraft delivery quality problems to determine the first problem type corresponding to each of the aircraft delivery quality problems.

[0115] In an embodiment of the present application, the first classification processing can be performed on the multiple aircraft delivery quality problems based on the size relationship between the typical indexes of the problems corresponding to each of the delivery quality problem structured data to determine the first problem type corresponding to each of the aircraft delivery quality problems. Among them, the first problem type includes typical quality problems or general quality problems, and for each aircraft delivery quality problem whose first problem type belongs to a general quality problem, the aircraft delivery quality problem is assigned to a predetermined problem processing object for corresponding processing. For example, the typical indexes of the problems can be sorted in order from large to small, and the top 25% (or other proportions) of the typical indexes of the problems can be determined as typical quality problems, and the bottom 75% can be determined as general quality problems. In addition, general quality problems can be judged by the inspection department and then directly let the responsible department make improvements.

[0116] Step S132: For each aircraft delivery quality problem whose first problem type belongs to a typical quality problem, a second classification process is performed on the aircraft delivery quality problem to determine a second problem type corresponding to the aircraft delivery quality problem.

[0117] In the embodiment of the present application, for each aircraft delivery quality problem of which the first problem type belongs to a typical quality problem, the aircraft delivery quality problem is subjected to a second classification process to determine the second problem type corresponding to the aircraft delivery quality problem. The second problem type includes fault type problems, protection type problems, suggestion type problems, and data type problems.

[0118] Step S133, for each aircraft delivery quality problem whose first problem type belongs to a typical quality problem, based on the second problem type corresponding to the aircraft delivery quality problem, determine the optimization feedback measures corresponding to the aircraft delivery quality problem to handle the aircraft delivery quality problem.

[0119] In an embodiment of the present application, for each aircraft delivery quality problem of which the first problem type is a typical quality problem, based on the second problem type corresponding to the aircraft delivery quality problem, the optimization feedback measures corresponding to the aircraft delivery quality problem are determined to handle the aircraft delivery quality problem. Exemplarily, a fault type problem may refer to an event or state in which a product or a part of a product cannot complete a predetermined function. This type of problem directly affects flight safety. Such problems can be pushed to a designated control module, and the quality control department and the technical department jointly determine the responsible unit for the problem, and determine whether the problem is zeroed through technology or management according to the cause of the problem. The responsible unit carries out special optimization feedback work based on the results of the determination of the quality control and technical departments, and reports the plan and results to the quality control and technical departments for review. Protective maintenance problems may refer to events or problems that can be eliminated due to improper maintenance or through proper maintenance. After the quality control and technical departments determine the responsible unit, the responsible unit adds the corresponding inspection process to the relevant process documents and requires the quality control department to conduct joint inspections during the production process. Suggestion issues may refer to optimization suggestions put forward by users during the delivery inspection process due to inconsistencies between user standards and design standards, manufacturing acceptance standards, or special needs. The technical department will take the lead in evaluating the optimization suggestions put forward by users and improving the corresponding standards or training materials. Data issues may refer to delivery quality issues in resume files and random data. The quality control department is responsible for special handling and setting assessment indicators. Once typical data issues are found, the relevant responsible persons will be assessed immediately and special reviews will be conducted on such issues before product delivery.

[0120] In addition, a typical delivery quality problem control list can be established to manage typical quality problems, and the inspection of related problems can be included in the process documents of subsequent batch production, so as to control the recurrence of typical delivery quality problems from the root. In addition, a typical problem "exit" mechanism can be established. After a problem is not found again in the inspection of a continuous period of time or several batches, the problem can be withdrawn from the typical delivery quality problem control list, and it is no longer mandatory to conduct special inspections on it through batch production process documents, thereby avoiding unnecessary increases in corporate costs caused by the unlimited growth of the quality problem control list.

[0121] Combination Figure 3 The embodiment of the present application also provides an aircraft delivery quality problem control device applicable to the above electronic equipment. The aircraft delivery quality problem control device may include a problem structured data forming module, a problem typical index forming module and a problem classification control processing module.

[0122] In detail, the problem structured data forming module can be used to obtain multiple aircraft delivery quality problems to be processed, and perform structured processing on each of the aircraft delivery quality problems to form delivery quality problem structured data corresponding to each of the aircraft delivery quality problems. Figure 2 As shown in step S110, the relevant contents of the question structured data forming module can refer to the above description of step S110.

[0123] In detail, the problem typicality index forming module can be used to perform multi-dimensional index evaluation and fusion processing on each of the delivery quality problem structured data to form a problem typicality index corresponding to each of the delivery quality problem structured data. Figure 2 As shown in step S120, for the relevant contents of the problem typical index forming module, reference can be made to the above description of step S120.

[0124] In detail, the problem classification control processing module can be used to classify and control the multiple aircraft delivery quality problems based on the problem typicality index corresponding to each of the delivery quality problem structured data, so as to adopt corresponding optimization feedback measures to handle the aircraft delivery quality problems. In the embodiment of the present application, the problem classification control processing module can be used to execute Figure 2 As shown in step S130, for the relevant content of the problem classification management and control processing module, please refer to the previous description of step S130.

[0125] In the embodiment of the present application, corresponding to the above-mentioned aircraft delivery quality problem control method applied to the electronic device, a computer-readable storage medium is also provided, in which a computer program is stored, and when the computer program is run, each step of the aircraft delivery quality problem control method is executed. Among them, each step executed when the aforementioned computer program is run will not be repeated here one by one, and reference can be made to the above explanation of the aircraft delivery quality problem control method.

[0126] In summary, the aircraft delivery quality problem control method and device, electronic device and storage medium provided by the present application first obtain multiple aircraft delivery quality problems to be processed, and perform structured processing on each aircraft delivery quality problem respectively to form corresponding delivery quality problem structured data; secondly, perform multi-dimensional indicator evaluation and fusion processing on each delivery quality problem structured data respectively to form a problem typicality index corresponding to each delivery quality problem structured data; then, based on the corresponding problem typicality index, perform classified control processing on multiple aircraft delivery quality problems, so as to adopt corresponding optimization feedback measures to process the aircraft delivery quality problems. Based on the above content, since the delivery quality problem structured data will be evaluated and fused with multi-dimensional indicators, the reliability of the obtained problem typicality index can be higher, thereby ensuring that the reliability of the split control processing based on the problem typicality index can also be higher. Therefore, the problem of relatively low reliability of aircraft delivery quality problem control existing in the prior art can be improved.

[0127] In several embodiments provided in the embodiments of the present application, it should be understood that the disclosed device and method can also be implemented in other ways. The device and method embodiments described above are merely schematic, for example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the device, method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0128] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0129] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, an electronic device, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk. It should be noted that, in this article, the term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, article or device. Without more constraints, an element defined by the phrase "comprising a..." does not exclude the existence of other identical elements in the process, method, article or apparatus comprising the element.

[0130] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling aircraft delivery quality issues, characterized in that: include: Acquire multiple aircraft delivery quality issues to be processed, and perform structured processing on each of the aircraft delivery quality issues respectively to form delivery quality issue structured data corresponding to each of the aircraft delivery quality issues; Perform multi-dimensional indicator evaluation and fusion processing on each of the delivery quality problem structured data to form a typical problem index corresponding to each of the delivery quality problem structured data; Based on the typical index of the problem corresponding to each structured data of the delivery quality problem, the multiple aircraft delivery quality problems are classified, controlled and processed, so as to adopt corresponding optimization feedback measures to deal with the aircraft delivery quality problems.

2. The method for controlling aircraft delivery quality issues according to claim 1, characterized in that: The step of acquiring a plurality of aircraft delivery quality issues to be processed, and performing structured processing on each of the aircraft delivery quality issues to form delivery quality issue structured data corresponding to each of the aircraft delivery quality issues includes: Obtained multiple aircraft delivery quality issues to be processed; Performing delivery object positioning processing on each of the aircraft delivery quality issues respectively to form spatial positioning description data corresponding to each of the aircraft delivery quality issues; Qualitatively process each of the aircraft delivery quality issues respectively to form qualitative description data corresponding to each of the aircraft delivery quality issues; For each of the aircraft delivery quality problems, delivery quality problem structured data corresponding to the aircraft delivery quality problem is formed based on the spatial positioning description data corresponding to the aircraft delivery quality problem and the problem qualitative description data corresponding to the aircraft delivery quality problem, wherein the delivery quality problem structured data is stored in a corresponding quality problem structured database.

3. The method for controlling aircraft delivery quality issues according to claim 2, characterized in that: The step of performing delivery object positioning processing on each of the aircraft delivery quality issues to form spatial positioning description data corresponding to each of the aircraft delivery quality issues comprises: Determine the spatial position of the delivery object for each of the aircraft delivery quality issues, respectively, to form spatial position description data of the delivery object corresponding to each of the aircraft delivery quality issues, wherein the coordinate system used by the spatial position corresponding to the spatial position description data of the delivery object is consistent with the coordinate system of the corresponding aircraft; Determine the delivery object for each of the aircraft delivery quality issues respectively, and form delivery object description data corresponding to each of the aircraft delivery quality issues, wherein the delivery object description data includes first field description data and second field description data, the first field description data is used to reflect the cabin / cover of the delivery object, and the second field description data is used to reflect the drawing number / model of the delivery object; For each of the aircraft delivery quality issues, the spatial positioning description data corresponding to the aircraft delivery quality issue is determined based on the delivery object spatial position description data corresponding to the aircraft delivery quality issue and the delivery object description data corresponding to the aircraft delivery quality issue.

4. The method for controlling aircraft delivery quality issues according to claim 2, characterized in that: The step of performing qualitative processing on each of the aircraft delivery quality problems to form qualitative description data corresponding to each of the aircraft delivery quality problems includes: Performing first-level quality problem qualitative processing on each of the aircraft delivery quality problems respectively, and forming first-level problem qualitative description data corresponding to each of the aircraft delivery quality problems, wherein the dimensions of the first-level problem qualitative description data include manufacturing, finished product or design; Performing second-level qualitative processing on each of the aircraft delivery quality issues respectively, forming second-level qualitative description data of the issues corresponding to each of the aircraft delivery quality issues, wherein the dimensions of the second-level qualitative description data of the issues include cable manufacturing, cable installation, conduit manufacturing, conduit installation, surface manufacturing, surface assembly, insurance quality, identification / marking, and function / performance; For each of the aircraft delivery quality issues, based on the first-level problem qualitative description data corresponding to the aircraft delivery quality issue and the second-level problem qualitative description data corresponding to the aircraft delivery quality issue, the problem qualitative description data corresponding to the aircraft delivery quality issue is determined.

5. The method for controlling aircraft delivery quality issues according to claim 1, characterized in that: The step of performing multi-dimensional indicator evaluation and fusion processing on each of the delivery quality problem structured data to form a typical problem index corresponding to each of the delivery quality problem structured data includes: Determine the weight parameter of the evaluation index of each dimension in a plurality of dimensions respectively, wherein the plurality of dimensions include a security dimension, a processing cycle dimension and a repeatability dimension; For each of the delivery problem structured data, determine the indicator parameters of the evaluation indicator of each dimension of the delivery problem structured data; Based on the indicator parameters of the evaluation indicators of each dimension of the delivery problem structured data and the weight parameters of the evaluation indicators of each dimension, the typical problem index corresponding to each delivery quality problem structured data is determined.

6. The method for controlling aircraft delivery quality issues according to claim 5, characterized in that: The step of determining the problem typicality index corresponding to each delivery quality problem structured data based on the indicator parameters of the evaluation indicators of each dimension of each delivery problem structured data and the weight parameters of the evaluation indicators of each dimension respectively comprises: Fuzzifying the indicator parameters of the evaluation indicators of each dimension of each delivery problem structured data respectively, and outputting the fuzzy number corresponding to each indicator parameter; For each dimension of the evaluation index, the fuzzy numbers corresponding to the index parameters corresponding to the evaluation index are statistically processed, and the upper limit and lower limit corresponding to the evaluation index are output; For each indicator parameter of the evaluation indicator of each dimension of the delivery problem structured data, respectively calculate the distance between the fuzzy number corresponding to the indicator parameter and the upper limit value and the lower limit value corresponding to the evaluation indicator, and obtain the upper limit distance parameter and the lower limit distance parameter corresponding to the indicator parameter; For each of the delivery problem structured data, based on the weight parameters of the evaluation indicators of each dimension, weighted sum calculation is performed on the upper distance parameter and the lower distance parameter corresponding to the indicator parameters of the evaluation indicators of the delivery problem structured data in each dimension, so as to obtain the weighted upper distance parameter and the weighted lower distance parameter corresponding to the delivery problem structured data; For each delivery problem structured data, based on the weighted upper limit distance parameter and the weighted lower limit distance parameter corresponding to the delivery problem structured data, determine the problem typicality index corresponding to the delivery quality problem structured data.

7. The method for controlling aircraft delivery quality problems according to any one of claims 1 to 6, characterized in that: The step of classifying, controlling and processing the multiple aircraft delivery quality problems based on the problem typicality index corresponding to each of the delivery quality problem structured data, and adopting corresponding optimization feedback measures to process the aircraft delivery quality problems includes: Based on the size relationship between the typical indexes of the problems corresponding to each of the delivery quality problem structured data, the multiple aircraft delivery quality problems are subjected to a first classification process to determine a first problem type corresponding to each of the aircraft delivery quality problems, wherein the first problem type includes a typical quality problem or a general quality problem, and for each aircraft delivery quality problem of the first problem type belonging to a general quality problem, the aircraft delivery quality problem is assigned to a predetermined problem processing object for corresponding processing; For each aircraft delivery quality problem whose first problem type belongs to a typical quality problem, a second classification process is performed on the aircraft delivery quality problem to determine a second problem type corresponding to the aircraft delivery quality problem, wherein the second problem type includes fault type problems, protection type problems, suggestion type problems and data type problems; For each aircraft delivery quality problem whose first problem type is a typical quality problem, based on the second problem type corresponding to the aircraft delivery quality problem, the optimization feedback measures corresponding to the aircraft delivery quality problem are determined to handle the aircraft delivery quality problem.

8. An aircraft delivery quality problem control device, characterized in that: include: A problem structured data forming module is used to obtain multiple aircraft delivery quality problems to be processed, and perform structured processing on each of the aircraft delivery quality problems to form delivery quality problem structured data corresponding to each of the aircraft delivery quality problems; A problem typicality index forming module is used to perform multi-dimensional index evaluation and fusion processing on each of the delivery quality problem structured data to form a problem typicality index corresponding to each of the delivery quality problem structured data; The problem classification, control and processing module is used to classify, control and process the multiple aircraft delivery quality problems based on the problem typicality index corresponding to each of the delivery quality problem structured data, so as to adopt corresponding optimization feedback measures to process the aircraft delivery quality problems.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor connected to the memory is used to execute a computer program stored in the memory to implement the aircraft delivery quality problem control method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when running, executes the aircraft delivery quality problem control method described in any one of claims 1 to 7.

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