WO2019041732A1 - Evaluation method and apparatus for manufacturing process capability - Google Patents
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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Definitions
- the invention relates to the field of process knowledge systems, in particular to a method and device for evaluating manufacturing process capability.
- the process In the process of managing the state, the process has the ability to achieve quality, called process capability.
- the quality characteristics of the product are measured by properly maintaining the conditions or standards of the job and on a counting, economically sound and stable process, which is typically or sometimes only expressed in 6 sigma.
- the process capability is judged only by the standard deviation of the process intermediate parameters, which is rough and inaccurate.
- the process capability is affected by other factors, such as fluctuations in product quality, process dispersion values, and processes.
- the offset of the mean affects, to some extent, the precise evaluation of process capability has a very relevant impact on the reliability and consistency of product quality. There is currently no way to accurately evaluate process capability.
- the present invention provides a manufacturing process capability evaluation method and device, which utilizes specific analysis of quality data to obtain a manufacturing process capability evaluation as a basis for controlling the manufacturing process, and based on the evaluation result as a whole.
- the initial operational steps of the process knowledge system provide a reliable segment evaluation system for the process knowledge system.
- the present invention provides a method for evaluating a manufacturing process capability, comprising:
- the process capability evaluation result is obtained.
- processing the quality sample to obtain a quality evaluation result includes:
- the quality evaluation value is obtained as the quality evaluation result.
- the method further includes:
- the visual analysis result is collated with the process capability evaluation result to obtain a process capability ultimate evaluation result.
- the method further includes:
- the obtained process capability evaluation result includes:
- Determining process capability evaluation results based on one or more quality evaluation results and capability evaluation rules further including:
- the process capability evaluation result that matches the quality evaluation result is determined.
- the data screening of the quality sample to obtain a quality control standard sample includes:
- the quality evaluation value is obtained as the quality evaluation result includes:
- the quality evaluation value is obtained by the following calculation formula:
- the process average is the average of the quality data in the quality sample
- the process standard deviation is the standard deviation of the quality data
- the quality evaluation value is obtained as the quality evaluation result:
- the quality evaluation value is obtained by the following calculation formula:
- the process average is the average of the quality data in the quality sample
- the process standard deviation is the standard deviation of the quality data
- the present invention provides a manufacturing process capability evaluation apparatus comprising the following modules:
- a data acquisition module configured to obtain quality data to obtain a quality sample, wherein the quality data is an intermediate performance parameter in a manufacturing process
- a data processing module configured to process the quality sample to obtain a quality evaluation result
- mapping module configured to obtain a process capability evaluation result according to the quality evaluation result.
- the data processing module includes:
- a process processing unit configured to obtain a process average value and a process standard deviation according to the quality sample
- a screening unit for performing data screening on the quality sample to obtain a quality control standard sample
- a standard interval unit for obtaining an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample
- the evaluation value unit is configured to obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or lower limit of the quality control standard, and the process average value and the process standard deviation.
- the device further includes a capability evaluation calibration module, including:
- a visualization unit configured to perform visual quality analysis on the quality sample to obtain a visual analysis result
- the proofreading unit is configured to collate the visual analysis result with the process capability evaluation result to obtain a process capability ultimate evaluation result.
- FIG. 1 is a flow chart of a method for evaluating a manufacturing process capability according to an embodiment of the present invention
- FIG. 2 is a flowchart of a quality sample processing method according to an embodiment of the present invention.
- FIG. 3 is a flowchart of a data screening method according to an embodiment of the present invention.
- FIG. 4 is a flowchart of a visual comparison analysis method according to an embodiment of the present invention.
- FIG. 5 is a schematic diagram showing an example of a box line diagram according to an embodiment of the present invention.
- FIG. 6 is a block diagram of a manufacturing process capability evaluation apparatus according to an embodiment of the present invention.
- a manufacturing process capability evaluation method is provided. Referring to FIG. 1, the method includes the following processes:
- historical quality data of a plurality of batch quality indicators are collected, wherein the quality data is an intermediate performance parameter in the manufacturing process, and the type includes the content of the index component of the intermediate, the transfer rate, the purity, and the like.
- the type of quality data (specifically, the type index of the intermediate performance), and the selection may be based on consulting the literature to understand the active ingredients and drugs of the intermediate. Based on the basis of effectiveness, further judgments can be made; it can also be organized by relevant professionals for discussion and evaluation.
- the indicators of quality data should be representative and can comprehensively evaluate the quality of all aspects of products, so the indicators of quality data should Enough and comprehensive.
- the purpose of alcohol precipitation is to integrate and remove impurities. Therefore, the content of the index component and the solid content are selected as the quality data, and the component content and solid content are specifically selected. As a quality indicator.
- the process capability evaluation result that matches the quality evaluation result is determined, and corresponding to the one or more quality evaluation results, the process capability evaluation result is determined according to the capability evaluation rule.
- a corresponding capability evaluation mapping table is pre-established, and the quality evaluation preset table is provided with a quality evaluation result and a corresponding process capability evaluation result. For example, if the quality evaluation result is greater than or equal to 2.00, the process capability evaluation result is A++ level; the quality evaluation result is greater than or equal to 1.67, and less than 2, the process capability evaluation result is A+ level; the quality evaluation result is greater than or equal to 1.33, and less than 1.67.
- the process capability evaluation result is Grade A; the quality evaluation result is greater than or equal to 1.00 and less than 1.33, then the process capability evaluation result is Grade B; the quality evaluation result is greater than or equal to 0.67, and less than 1.00, the process capability evaluation result is Grade C; Quality evaluation The result is less than 0.67, and the process capability evaluation result is D grade.
- the significance of the process capability evaluation result is that, according to the result, the control of the manufacturing process is guided, for example, the process capability evaluation result is A++ level, indicating that the production capacity overflows, and the cost reduction needs to be considered; the process capability evaluation result is A+ level, It means that the level can be maintained; if the process capability evaluation result is A grade, it means that the process capability is good and can be properly improved; the process capability evaluation result is grade B, indicating that the process capability is general, and if it is in the key section, it can be appropriately improved. The non-critical work section may not be improved; the process capability evaluation result is C grade, indicating that the process capability needs to be improved; the process capability evaluation result is D grade, indicating that the process capability is seriously insufficient, and it is recommended to stop production inspection.
- the process capability evaluation result is determined according to the capability evaluation rule, for example, the lowest one among the plurality of quality evaluation results is selected, and the process capability evaluation result having a mapping relationship with the minimum quality evaluation result is matched as a plurality of The result of the ability evaluation of the quality evaluation results.
- the invention does not limit the capability evaluation rule to the minimum rule, and can formulate corresponding capability evaluation rules according to actual production conditions.
- a quality sample processing method is provided to obtain a quality evaluation result.
- the method includes the following process:
- the process average is the average value of the quality data in the quality sample
- the process standard deviation is the standard deviation of the quality data
- the implementation is performed by the following data screening method.
- the method flow includes:
- S221 Perform a certain number of random sampling on the quality sample to obtain a test sample
- S221-S224 there are 100 quality data in the quality sample, numbered 0-99, and the quality sample is randomly sampled 100 times (may be 99 times or 101 times or other times). Randomly extract the quality data of one of the numbers from 0-99, as an array member, sample 100 times and get an array of 100 numbers, and then sort the array from small to large. According to the screening rules (such as taking 80% of the data in the middle of the sorted sample as the segment quality evaluation data), the array is sorted from small to large, and the 11th number is placed in the first quality control standard sample, and the 90th number is taken. Place the second quality control standard sample.
- the screening rules such as taking 80% of the data in the middle of the sorted sample as the segment quality evaluation data
- performing sample averaging on the first quality control standard sample that is, averaging the lower limit of 10000 quality control standards in the first quality control standard sample to obtain a lower limit of the quality control standard; and performing the second quality control standard sample
- the sample average that is, the upper limit of 10000 quality control standards in the second quality control standard sample is averaged to obtain an upper limit of the quality control standard.
- the calculation method of the quality evaluation result includes the following processes:
- the quality evaluation value is obtained by the following calculation formula:
- the process average is the average of the quality data in the quality sample
- the process standard deviation is the standard deviation of the quality data.
- the calculation method of the quality evaluation result includes the following processes:
- the quality evaluation value is obtained by the following calculation formula:
- the process average is the average of the quality data in the quality sample
- the process standard deviation is the standard deviation of the quality data
- the upper limit of the quality control standard is 4.3362
- the lower limit of the quality control standard is 3.0805, which can be obtained from the component A content data in the above table: the process average is 3.8364, the process standard deviation is 0.3785, and the final calculated quality evaluation value is 0.4402 (rounded off).
- the basic quality evaluation value needs to be increased to 1.33. It can be seen that the process capacity of the alcohol-sinking section is still lacking and needs to be improved.
- a visual comparison analysis method is provided. Referring to FIG. 4, the method flow includes:
- step S1 in Embodiment 1
- a Shewhart control chart is established for the quality sample, or other data visualization methods may be used for preliminary quality analysis.
- the analysis of the box line diagram can analyze the data without knowing the distribution pattern of the data, so the data is visualized by using the box line diagram to perform preliminary quality.
- Analysis deepen the understanding of the process, taking the component A content data in the intermediate of the alcohol-sinking section as an example, for box line graph analysis, as shown in Figure 5, the interquartile range box is narrow, and the data is mostly distributed in 3.6-4.0. Between mg/g, it indicates that the quality of the intermediate component A is relatively concentrated, and the median (black horizontal line in the figure) is distributed upwards, indicating that the overall data is more biased towards 4.0 mg/g, the upper edge value is larger, and abnormalities are found. Point, indicating that the mass distribution of the intermediate still has some fluctuations and has room for improvement.
- a preliminary evaluation can be performed on the current manufacturing process capability, and the quality evaluation result is obtained by using the method in the above Embodiment 2, and the process capability corresponding to the quality evaluation result is obtained by the method in Embodiment 1.
- the results of the preliminary quality analysis are compared with the results of the process capability evaluation to obtain the final evaluation result of the process capability.
- the results of the preliminary quality analysis are consistent with the process capability evaluation results, thereby enhancing the ultimate evaluation of the process capability.
- the reliability of the result if it does not match, the accuracy of the process capability evaluation result is judged according to the specific deviation. For example, if the deviation is large, the evaluation of the visual analysis result and the process capability evaluation result need to be repeated to re-calibrate.
- a manufacturing process capability evaluation device is provided. Referring to FIG. 6, the following modules are included:
- the data obtaining module 610 is configured to obtain quality data to obtain a quality sample, where the quality data is an intermediate performance parameter in a manufacturing process;
- the data processing module 620 is configured to process the quality sample to obtain a quality evaluation result
- the mapping module 630 is configured to obtain a process capability evaluation result according to the quality evaluation result.
- the data processing module 620 includes:
- a process processing unit 621 configured to obtain a process average value and a process standard deviation according to the quality sample
- a screening unit 622 configured to perform data screening on the quality sample to obtain a quality control standard sample
- a standard interval unit 623 configured to obtain an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;
- the evaluation value unit 624 is configured to obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or lower limit of the quality control standard, and the process average value and the process standard deviation.
- the device further includes a capability evaluation calibration module 640, including:
- a visualization unit 641, configured to perform visual quality analysis on the quality sample to obtain a visual analysis result
- the proofreading unit 642 is configured to collate the visual analysis result with the process capability evaluation result to obtain a process capability ultimate evaluation result.
- the manufacturing process capability evaluation device provided in the above embodiment is only illustrated by the division of the above functional modules when performing the manufacturing process capability evaluation. In actual applications, the above functions may be assigned differently according to needs.
- the functional module is completed, that is, the internal structure of the manufacturing process capability evaluation device is divided into different functional modules to complete all or part of the functions described above.
- the embodiment of the manufacturing process capability evaluation device provided by the embodiment is the same as the method for evaluating the capability of the manufacturing process provided by the foregoing embodiment, and the specific implementation process is described in detail in the method embodiment, and details are not described herein again.
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Abstract
An evaluation method and apparatus for manufacturing process capability. The evaluation method comprises: acquiring quality data to obtain a quality sample (S1), the quality data being intermediate performance parameters in a manufacturing process; processing quality sample data to obtain a quality evaluation result (S2); and obtaining a process capability evaluation result according to the quality evaluation result (S3). According to the method, quality data is analyzed in a specific manner to obtain the evaluation of manufacturing process capability as a control guidance basis of a manufacturing process, and a reliable workshop section evaluation system is provided for a process knowledge system according to an initial operation step of using the evaluation result as an entire process knowledge system.
Description
本发明涉及过程知识***领域，特别涉及一种制造过程能力评价方法及装置。The invention relates to the field of process knowledge systems, in particular to a method and device for evaluating manufacturing process capability.
在管理状态的制程上，该过程具有达成品质的能力，称为过程能力。正确地维持作业的条件或标准且在计数上、经济上良好且安定的制程上，量测产品的品质特性，现有技术中，过程能力通常以或有时仅以6σ来表示。In the process of managing the state, the process has the ability to achieve quality, called process capability. The quality characteristics of the product are measured by properly maintaining the conditions or standards of the job and on a counting, economically sound and stable process, which is typically or sometimes only expressed in 6 sigma.
当前过程能力的评价方法中，仅以过程中间体参数的标准差来判定过程能力，显得粗糙又不准确，实际上，过程能力受到其他因素的影响，比如产品质量的波动、过程分散值、过程平均值的偏移量影响，一定程度上，过程能力的精确评价对产品质量的可靠性和一致性有着极其相关的影响。而目前还不存在能够对过程能力作出精准评价的方法。In the current process capability evaluation method, the process capability is judged only by the standard deviation of the process intermediate parameters, which is rough and inaccurate. In fact, the process capability is affected by other factors, such as fluctuations in product quality, process dispersion values, and processes. The offset of the mean affects, to some extent, the precise evaluation of process capability has a very relevant impact on the reliability and consistency of product quality. There is currently no way to accurately evaluate process capability.
发明内容Summary of the invention
为了解决现有技术的问题，本发明提供了一种制造过程能力评价方法及装置，利用对质量数据进行特定分析，得到制造过程能力评价，作为制造过程的控制指导依据，并根据评价结果作为整个过程知识***的初始操作步骤，为过程知识***提供一个可靠的工段评价体系。所述技术方案如下：In order to solve the problems of the prior art, the present invention provides a manufacturing process capability evaluation method and device, which utilizes specific analysis of quality data to obtain a manufacturing process capability evaluation as a basis for controlling the manufacturing process, and based on the evaluation result as a whole. The initial operational steps of the process knowledge system provide a reliable segment evaluation system for the process knowledge system. The technical solution is as follows:
一方面，本发明提供了一种制造过程能力评价方法，包括：In one aspect, the present invention provides a method for evaluating a manufacturing process capability, comprising:
获取质量数据得到质量样本，所述质量数据为制造过程中的中间体性能参数；Obtaining quality data to obtain a quality sample, the quality data being an intermediate performance parameter in the manufacturing process;
对所述质量样本进行处理，得到质量评价结果；Processing the quality sample to obtain a quality evaluation result;
根据所述质量评价结果，得到过程能力评价结果。According to the quality evaluation result, the process capability evaluation result is obtained.
进一步地，所述对所述质量样本进行处理，得到质量评价结果包括：Further, the processing the quality sample to obtain a quality evaluation result includes:
根据所述质量样本，得到过程平均值和过程标准差；Obtaining a process average and a process standard deviation according to the quality sample;
对所述质量样本进行数据筛查，得到质量控制标准样本；Performing data screening on the quality sample to obtain a quality control standard sample;
根据所述质量控制标准样本，得到质量控制标准上限和/或下限；Obtaining an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;
根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。According to the upper and lower limits of the quality control standard, and the process average and the process standard deviation, the quality evaluation value is obtained as the quality evaluation result.
进一步地，所述方法还包括：Further, the method further includes:
对所述质量样本进行可视化质量分析，得到可视化分析结果；Performing visual quality analysis on the quality sample to obtain a visual analysis result;
将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。The visual analysis result is collated with the process capability evaluation result to obtain a process capability ultimate evaluation result.
进一步地，所述获取质量数据得到质量样本之前还包括：Further, before the obtaining the quality data to obtain the quality sample, the method further includes:
根据制造过程类型，确定一种或多种中间体性能的类型指标，对应得到一个或多个质量样本，以及一个或多个质量评价结果；Determining a type index of one or more intermediate properties according to a type of manufacturing process, corresponding to one or more quality samples, and one or more quality evaluation results;
所述根据所述质量评价结果，得到过程能力评价结果包括：According to the quality evaluation result, the obtained process capability evaluation result includes:
根据一个或多个质量评价结果和能力评价规则，确定过程能力评价结果，进一步还包括：Determining process capability evaluation results based on one or more quality evaluation results and capability evaluation rules, further including:
根据能力评价映射关系，确定与质量评价结果相匹配的过程能力评价结果。According to the capability evaluation mapping relationship, the process capability evaluation result that matches the quality evaluation result is determined.
进一步地，所述对所述质量样本进行数据筛查，得到质量控制标准样本包括：Further, the data screening of the quality sample to obtain a quality control standard sample includes:
对所述质量样本进行一定数量的随机取样，得到试验样本；Performing a certain number of random sampling on the quality sample to obtain a test sample;
对所述试验样本中的数据进行大小排序，得到顺序样本；Sorting the data in the test sample to obtain a sequential sample;
根据筛选规则，从所述顺序样本中获取质量控制标准数据，并加入对应的质量控制标准样本；Obtaining quality control standard data from the sequential samples according to a screening rule, and adding a corresponding quality control standard sample;
重复上述步骤一定次数，得到一个或两个质量控制标准样本。Repeat the above steps a certain number of times to get one or two quality control standard samples.
进一步地，所述根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果包括：Further, according to the upper limit and/or the lower limit of the quality control standard, and the process average value and the process standard deviation, the quality evaluation value is obtained as the quality evaluation result includes:
根据所述质量控制标准上限和下限，得到标准中间值和过程分散值，其中，Obtaining a standard intermediate value and a process dispersion value according to the upper and lower limits of the quality control standard, wherein
根据标准中间值、过程分散值、过程平均值及过程标准差，通过以下计算公式得到所述质量评价值：According to the standard intermediate value, the process dispersion value, the process average value and the process standard deviation, the quality evaluation value is obtained by the following calculation formula:
进一步地，所述根据所述质量控制标准上限或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果包括：Further, according to the upper or lower limit of the quality control standard, the process average value and the process standard deviation, the quality evaluation value is obtained as the quality evaluation result:
通过以下计算公式得到所述质量评价值：The quality evaluation value is obtained by the following calculation formula:
另一方面，本发明提供了一种制造过程能力评价装置，包括以下模块：In another aspect, the present invention provides a manufacturing process capability evaluation apparatus comprising the following modules:
数据获取模块，用于获取质量数据得到质量样本，所述质量数据为制造过程中的中间体性能参数；a data acquisition module, configured to obtain quality data to obtain a quality sample, wherein the quality data is an intermediate performance parameter in a manufacturing process;
数据处理模块，用于对所述质量样本进行处理，得到质量评价结果；a data processing module, configured to process the quality sample to obtain a quality evaluation result;
映射模块，用于根据所述质量评价结果，得到过程能力评价结果。And a mapping module, configured to obtain a process capability evaluation result according to the quality evaluation result.
进一步地，所述数据处理模块包括：Further, the data processing module includes:
过程处理单元，用于根据所述质量样本，得到过程平均值和过程标准差；a process processing unit, configured to obtain a process average value and a process standard deviation according to the quality sample;
筛查单元，用于对所述质量样本进行数据筛查，得到质量控制标准样本；a screening unit for performing data screening on the quality sample to obtain a quality control standard sample;
标准区间单元，用于根据所述质量控制标准样本，得到质量控制标准上限和/或下限；a standard interval unit for obtaining an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;
评价值单元，用于根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。The evaluation value unit is configured to obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or lower limit of the quality control standard, and the process average value and the process standard deviation.
进一步地，所述装置还包括能力评价校准模块，包括：Further, the device further includes a capability evaluation calibration module, including:
可视化单元，用于对所述质量样本进行可视化质量分析，得到可视化分析结果；a visualization unit, configured to perform visual quality analysis on the quality sample to obtain a visual analysis result;
校对单元，用于将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。The proofreading unit is configured to collate the visual analysis result with the process capability evaluation result to obtain a process capability ultimate evaluation result.
本发明提供的技术方案带来的有益效果如下：The beneficial effects brought by the technical solutions provided by the present invention are as follows:
1)将制造过程能力数字化和等级化，一目了然，为过程控制提供指导依据；1) Digitize and grade the manufacturing process capability at a glance to provide guidance for process control;
2)采用可视化初步分析结果校对机制，保证过程能力评价结果的准确性。2) Adopt the visual preliminary analysis result proofreading mechanism to ensure the accuracy of the process capability evaluation results.
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明 的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention. Other drawings may also be obtained from those of ordinary skill in the art in light of the inventive work.
图1是本发明实施例提供的制造过程能力评价方法流程图；1 is a flow chart of a method for evaluating a manufacturing process capability according to an embodiment of the present invention;
图2是本发明实施例提供的质量样本处理方法流程图；2 is a flowchart of a quality sample processing method according to an embodiment of the present invention;
图3是本发明实施例提供的数据筛查方法流程图；3 is a flowchart of a data screening method according to an embodiment of the present invention;
图4是本发明实施例提供的可视化比较分析方法流程图；4 is a flowchart of a visual comparison analysis method according to an embodiment of the present invention;
图5是本发明实施例提供的箱线图举例示意图；FIG. 5 is a schematic diagram showing an example of a box line diagram according to an embodiment of the present invention; FIG.
图6是本发明实施例提供的制造过程能力评价装置的模块框图。FIG. 6 is a block diagram of a manufacturing process capability evaluation apparatus according to an embodiment of the present invention.
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、装置、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。It is to be understood that the terms "first", "second", and the like in the specification and claims of the present invention are used to distinguish similar objects, and are not necessarily used to describe a particular order or order. It is to be understood that the data so used may be interchanged where appropriate, so that the embodiments of the invention described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "comprises" and "comprises" and "the" and "the" are intended to cover a non-exclusive inclusion, for example, a process, method, device, product or device that comprises a series of steps or units is not necessarily limited to Those steps or units may include other steps or units not explicitly listed or inherent to such processes, methods, products or devices.
实施例1Example 1
在本发明的一个实施例中，提供了一种制造过程能力评价方法，参见图1，所述方法包括以下流程：In an embodiment of the present invention, a manufacturing process capability evaluation method is provided. Referring to FIG. 1, the method includes the following processes:
S1、获取质量数据得到质量样本。S1: Obtain quality data to obtain a quality sample.
具体地，收集多个批次质量指标的历史质量数据，其中，所述质量数据为制造过程中的中间体性能参数，类型包括中间体的指标成分的含量、转移率、纯度等等。Specifically, historical quality data of a plurality of batch quality indicators are collected, wherein the quality data is an intermediate performance parameter in the manufacturing process, and the type includes the content of the index component of the intermediate, the transfer rate, the purity, and the like.
因此，在S1之前还包括：Therefore, before S1, it also includes:
S01、根据制造过程类型，确定一种或多种中间体性能的类型指标。S01. Determine a type index of one or more intermediate properties according to a type of manufacturing process.
具体地，需要针对生产具体某种产品的生产工段进行分析，来选择质量数据的类型(具体为中间体性能的类型指标)，选择的依据可以是通过查阅文献，了解中间体的活性成分和药效基础，再作进一步判断；也可以是组织相关专业人士进行讨论和评估，此处需要注意的是质量数据的指标应该具有代表性，可以综合评价产品的各方面质量，所以质量数据的指标应当足够多且全面。此外，需要重复采样尽量保证样品的代表性，如醇沉工段，醇沉的目的是富集成分和去除杂质，因此，选择指标成分的含量和固体含量作为质量数据，具体选择成分含量、固含量作为质量指标。Specifically, it is necessary to analyze the production section of a specific product to select the type of quality data (specifically, the type index of the intermediate performance), and the selection may be based on consulting the literature to understand the active ingredients and drugs of the intermediate. Based on the basis of effectiveness, further judgments can be made; it can also be organized by relevant professionals for discussion and evaluation. It should be noted here that the indicators of quality data should be representative and can comprehensively evaluate the quality of all aspects of products, so the indicators of quality data should Enough and comprehensive. In addition, it is necessary to repeat sampling to ensure the representativeness of the sample as much as possible. For example, the purpose of alcohol precipitation is to integrate and remove impurities. Therefore, the content of the index component and the solid content are selected as the quality data, and the component content and solid content are specifically selected. As a quality indicator.
S2、对所述质量样本进行处理，得到质量评价结果。S2. Processing the quality sample to obtain a quality evaluation result.
具体地，对质量样本中的质量数据进行数据处理(具体过程在实施例2详述)，对应于得到一个或多个质量样本，处理得到的是一个或多个质量评价结果。Specifically, data processing is performed on the quality data in the quality sample (the specific process is detailed in Embodiment 2), and corresponding to obtaining one or more quality samples, the processing results in one or more quality evaluation results.
S3、根据所述质量评价结果，得到过程能力评价结果。S3. Obtain a process capability evaluation result according to the quality evaluation result.
具体地，根据能力评价映射关系，确定与质量评价结果相匹配的过程能力评价结果，对应于有一个或多个质量评价结果的，根据能力评价规则，确定过程能力评价结果。Specifically, according to the capability evaluation mapping relationship, the process capability evaluation result that matches the quality evaluation result is determined, and corresponding to the one or more quality evaluation results, the process capability evaluation result is determined according to the capability evaluation rule.
具体地，预建立对应的能力评价映射表，所述能力评价预设表上设置有质量评价结果与对应的过程能力评价结果。比如，质量评价结果大于等于2.00，则过程能力评价结果为A++级；质量评价结果大于等于1.67，且小于2，则过程能力评价结果为A+级；质量评价结果大于等于1.33，且小于1.67，则过程能力评价结果为A级；质量评价结果大于等于1.00，且小于1.33，则过程能力评价结果为B级；质量评价结果大于等于0.67，且小于1.00，则过程能力评价结果为C级；质量评价结果小于0.67，则过程能力评价结果为D级。Specifically, a corresponding capability evaluation mapping table is pre-established, and the quality evaluation preset table is provided with a quality evaluation result and a corresponding process capability evaluation result. For example, if the quality evaluation result is greater than or equal to 2.00, the process capability evaluation result is A++ level; the quality evaluation result is greater than or equal to 1.67, and less than 2, the process capability evaluation result is A+ level; the quality evaluation result is greater than or equal to 1.33, and less than 1.67. The process capability evaluation result is Grade A; the quality evaluation result is greater than or equal to 1.00 and less than 1.33, then the process capability evaluation result is Grade B; the quality evaluation result is greater than or equal to 0.67, and less than 1.00, the process capability evaluation result is Grade C; Quality evaluation The result is less than 0.67, and the process capability evaluation result is D grade.
所述过程能力评价结果的意义在于，根据该结果，指导对制造过程的控制，比如：过程能力评价结果为A++级，则表示生产能力溢出，需要考虑降低成本；过程能力评价结果为A+级，则表示可以继续保持该水平；过程能力评价结果为A级，则表示过程能力良好，可适当提高；过程能力评价结果为B级，说明过程能力一般，若处在关键工段可适当提高，若处在非关键工段可不做提高；过 程能力评价结果为C级，说明过程能力需要提高；过程能力评价结果为D级，说明过程能力严重不足，建议停产检查。The significance of the process capability evaluation result is that, according to the result, the control of the manufacturing process is guided, for example, the process capability evaluation result is A++ level, indicating that the production capacity overflows, and the cost reduction needs to be considered; the process capability evaluation result is A+ level, It means that the level can be maintained; if the process capability evaluation result is A grade, it means that the process capability is good and can be properly improved; the process capability evaluation result is grade B, indicating that the process capability is general, and if it is in the key section, it can be appropriately improved. The non-critical work section may not be improved; the process capability evaluation result is C grade, indicating that the process capability needs to be improved; the process capability evaluation result is D grade, indicating that the process capability is seriously insufficient, and it is recommended to stop production inspection.
对于存在多个质量评价结果的，根据能力评价规则，确定过程能力评价结果，比如，在多个质量评价结果中选最低者，并匹配与该最低质量评价结果有映射关系的过程能力评价结果作为多个质量评价结果的能力评价结果。本发明不限定能力评价规则为最低规则，可以根据实际生产情况进行制定相应的能力评价规则。For the case where there are multiple quality evaluation results, the process capability evaluation result is determined according to the capability evaluation rule, for example, the lowest one among the plurality of quality evaluation results is selected, and the process capability evaluation result having a mapping relationship with the minimum quality evaluation result is matched as a plurality of The result of the ability evaluation of the quality evaluation results. The invention does not limit the capability evaluation rule to the minimum rule, and can formulate corresponding capability evaluation rules according to actual production conditions.
实施例2Example 2
在本发明的一个实施例中，提供了一种质量样本处理方法，以得到质量评价结果，参见图2，所述方法包括以下流程：In an embodiment of the present invention, a quality sample processing method is provided to obtain a quality evaluation result. Referring to FIG. 2, the method includes the following process:
S21、根据所述质量样本，得到过程平均值和过程标准差。S21. Obtain a process average and a process standard deviation according to the quality sample.
具体地，过程平均值为质量样本中的质量数据的平均值，过程标准差为所述质量数据的标准差，所述平均值和标准差的具体算法在此不再赘述。Specifically, the process average is the average value of the quality data in the quality sample, and the process standard deviation is the standard deviation of the quality data, and the specific algorithm of the average value and the standard deviation is not described herein again.
S22、对所述质量样本进行数据筛查，得到质量控制标准样本。S22. Perform data screening on the quality sample to obtain a quality control standard sample.
具体地，通过以下数据筛查方法进行实施，参见图3，所述方法流程包括：Specifically, the implementation is performed by the following data screening method. Referring to FIG. 3, the method flow includes:
S221、对所述质量样本进行一定数量的随机取样，得到试验样本；S221: Perform a certain number of random sampling on the quality sample to obtain a test sample;
S222、对所述试验样本中的数据进行大小排序，得到顺序样本；S222, sorting data in the test sample to obtain a sequential sample;
S223、根据筛选规则，从所述顺序样本中获取质量控制标准数据，并加入对应的质量控制标准样本；S223. Obtain quality control standard data from the sequential samples according to a screening rule, and add a corresponding quality control standard sample;
S224、重复S221-S223，直至达到一定次数，得到一个或两个质量控制标准样本。S224, repeating S221-S223 until a certain number of times is reached, and one or two quality control standard samples are obtained.
以下对S221-S224做举例说明：比如质量样本中有100个质量数据，编号为0-99，对该质量样本进行100次(也可以是99次或101次或其他次数)的随机取样，每一次随机从编号为0-99中抽取其中某个编号的质量数据，作为一个数组成员，100次的随即取样，得到具有100个数字的数组，再对该数组进行由小到大排序。按照筛选规则(比如取排序样本中间的80％数据作为工段质量评价数据)，则进行由小到大排序后的数组，取第11个数字放入第一质量控制标准样本，取第90个数字放入第二质量控制标准样本。The following is an example of S221-S224: for example, there are 100 quality data in the quality sample, numbered 0-99, and the quality sample is randomly sampled 100 times (may be 99 times or 101 times or other times). Randomly extract the quality data of one of the numbers from 0-99, as an array member, sample 100 times and get an array of 100 numbers, and then sort the array from small to large. According to the screening rules (such as taking 80% of the data in the middle of the sorted sample as the segment quality evaluation data), the array is sorted from small to large, and the 11th number is placed in the first quality control standard sample, and the 90th number is taken. Place the second quality control standard sample.
重复上述步骤，比如重复10000次，则第一质量控制标准样本中有10000个质量控制标准下限，第二质量控制标准样本中有10000个质量控制标准上限。Repeat the above steps, such as repeating 10,000 times, there are 10000 quality control standard lower limits in the first quality control standard sample, and 10000 quality control standard upper limits in the second quality control standard sample.
S23、根据所述质量控制标准样本，得到质量控制标准上限和/或下限。S23. Obtain an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample.
具体地，对第一质量控制标准样本进行样本平均，即对所述第一质量控制标准样本中的10000个质量控制标准下限取平均值，得到质量控制标准下限；对第二质量控制标准样本进行样本平均，即对所述第二质量控制标准样本中的10000个质量控制标准上限取平均值，得到质量控制标准上限。Specifically, performing sample averaging on the first quality control standard sample, that is, averaging the lower limit of 10000 quality control standards in the first quality control standard sample to obtain a lower limit of the quality control standard; and performing the second quality control standard sample The sample average, that is, the upper limit of 10000 quality control standards in the second quality control standard sample is averaged to obtain an upper limit of the quality control standard.
S24、根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。S24. Obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or the lower limit of the quality control standard, and the process average value and the process standard deviation.
具体地，需要区别质量控制标准是有上下限，还是只有上限或者下限，由此，第一、当质量控制标准有上下限，所述质量评价结果的计算方法包括以下流程：Specifically, it is necessary to distinguish whether the quality control standard has an upper or lower limit or only an upper limit or a lower limit. Therefore, first, when the quality control standard has upper and lower limits, the calculation method of the quality evaluation result includes the following processes:
根据所述质量控制标准上限和下限，得到标准中间值和过程分散值，其中，Obtaining a standard intermediate value and a process dispersion value according to the upper and lower limits of the quality control standard, wherein
根据标准中间值、过程分散值、过程平均值及过程标准差，通过以下计算公式得到所述质量评价值：According to the standard intermediate value, the process dispersion value, the process average value and the process standard deviation, the quality evaluation value is obtained by the following calculation formula:
第二、当质量控制标准仅有上限或者下限，则所述质量评价结果的计算方法包括以下流程：Second, when the quality control standard has only an upper limit or a lower limit, the calculation method of the quality evaluation result includes the following processes:
通过以下计算公式得到所述质量评价值：The quality evaluation value is obtained by the following calculation formula:
以醇沉工段的成分A含量为例，参见具体实验数据：Take the content of the component A in the alcohol-sinking section as an example, see the specific experimental data:
根据本发明实施例中的质量控制标准上限和/或下限的获取方法，得到质量控制标准上限为4.3362，质量控制标准下限为3.0805，由上述表中的成分A含量数据可以得到：过程平均值为3.8364，过程标准差为0.3785，最终计算质量评价值为0.4402(四舍五入计)。According to the method for obtaining the upper limit and/or the lower limit of the quality control standard in the embodiment of the present invention, the upper limit of the quality control standard is 4.3362, and the lower limit of the quality control standard is 3.0805, which can be obtained from the component A content data in the above table: the process average is 3.8364, the process standard deviation is 0.3785, and the final calculated quality evaluation value is 0.4402 (rounded off).
由于醇沉工段为关键工段，因此，基本质量评价值需要提高至1.33，可见，醇沉工段过程能力仍有欠缺，需要提高。Since the alcohol-sinking section is a key section, the basic quality evaluation value needs to be increased to 1.33. It can be seen that the process capacity of the alcohol-sinking section is still lacking and needs to be improved.
实施例3Example 3
在本发明的一个实施例中，提供了一种可视化比较分析方法，参见图4，所述方法流程包括：In an embodiment of the present invention, a visual comparison analysis method is provided. Referring to FIG. 4, the method flow includes:
S31、对所述质量样本进行可视化质量分析，得到可视化分析结果；S31: performing visual quality analysis on the quality sample to obtain a visual analysis result;
S32、将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。S32. Perform a proofreading of the visual analysis result and the process capability evaluation result to obtain a process capability ultimate evaluation result.
具体地，可视化处理方法有很多种，比如，在执行步骤S1(实施例1中)之后，对质量样本建立休哈特控制图，或者可以采用其他数据可视化方法进行初步质量分析。Specifically, there are many kinds of visual processing methods, for example, after performing step S1 (in Embodiment 1), a Shewhart control chart is established for the quality sample, or other data visualization methods may be used for preliminary quality analysis.
在本发明实施例中，利用箱线图法，箱线图的分析不需要知道数据的分布形态即可对数据进行分析，所以此处利用箱线图的方式对数据进行可视化，从而进行初步质量分析，加深对过程的理解，以醇沉工段中间体中的成分A含量数据为例，作箱线图分析，参见图5可知，四分位间距框较窄，数据大部分分布在3.6～4.0mg/g之间，说明中间体成分A质量相对较为集中，中位数(图中黑色横线)的分布偏上，说明总体数据更偏向4.0mg/g，上边缘数值较大，并发 现异常点，说明中间体的质量分布仍有一定的波动，具有提升的空间。In the embodiment of the present invention, by using the box line diagram method, the analysis of the box line diagram can analyze the data without knowing the distribution pattern of the data, so the data is visualized by using the box line diagram to perform preliminary quality. Analysis, deepen the understanding of the process, taking the component A content data in the intermediate of the alcohol-sinking section as an example, for box line graph analysis, as shown in Figure 5, the interquartile range box is narrow, and the data is mostly distributed in 3.6-4.0. Between mg/g, it indicates that the quality of the intermediate component A is relatively concentrated, and the median (black horizontal line in the figure) is distributed upwards, indicating that the overall data is more biased towards 4.0 mg/g, the upper edge value is larger, and abnormalities are found. Point, indicating that the mass distribution of the intermediate still has some fluctuations and has room for improvement.
得到可视化分析结果后，可以对当前制造过程能力进行一个初步评价，等到利用上述实施例2中的方法得到质量评价结果，并利用实施例1中的方法得到与所述质量评价结果对应的过程能力评价结果，之后，将所述初步质量分析的结果与该过程能力评价结果进行校对，得到过程能力终极评价结果，比如，初步质量分析的结果与过程能力评价结果吻合，则增强了过程能力终极评价结果的可靠性；若不吻合，则根据具体的偏差判断过程能力评价结果的准确性，比如偏差较大，则需要重复可视化分析结果与过程能力评价结果的评定，以再次校对。After obtaining the visual analysis result, a preliminary evaluation can be performed on the current manufacturing process capability, and the quality evaluation result is obtained by using the method in the above Embodiment 2, and the process capability corresponding to the quality evaluation result is obtained by the method in Embodiment 1. After evaluating the results, the results of the preliminary quality analysis are compared with the results of the process capability evaluation to obtain the final evaluation result of the process capability. For example, the results of the preliminary quality analysis are consistent with the process capability evaluation results, thereby enhancing the ultimate evaluation of the process capability. The reliability of the result; if it does not match, the accuracy of the process capability evaluation result is judged according to the specific deviation. For example, if the deviation is large, the evaluation of the visual analysis result and the process capability evaluation result need to be repeated to re-calibrate.
实施例4Example 4
在本发明实施例中，提供了一种制造过程能力评价装置，参见图6，包括以下模块：In the embodiment of the present invention, a manufacturing process capability evaluation device is provided. Referring to FIG. 6, the following modules are included:
数据获取模块610，用于获取质量数据得到质量样本，所述质量数据为制造过程中的中间体性能参数；The data obtaining module 610 is configured to obtain quality data to obtain a quality sample, where the quality data is an intermediate performance parameter in a manufacturing process;
数据处理模块620，用于对所述质量样本进行处理，得到质量评价结果；The data processing module 620 is configured to process the quality sample to obtain a quality evaluation result;
映射模块630，用于根据所述质量评价结果，得到过程能力评价结果。The mapping module 630 is configured to obtain a process capability evaluation result according to the quality evaluation result.
进一步地，所述数据处理模块620包括：Further, the data processing module 620 includes:
过程处理单元621，用于根据所述质量样本，得到过程平均值和过程标准差；a process processing unit 621, configured to obtain a process average value and a process standard deviation according to the quality sample;
筛查单元622，用于对所述质量样本进行数据筛查，得到质量控制标准样本；a screening unit 622, configured to perform data screening on the quality sample to obtain a quality control standard sample;
标准区间单元623，用于根据所述质量控制标准样本，得到质量控制标准上限和/或下限；a standard interval unit 623, configured to obtain an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;
评价值单元624，用于根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。The evaluation value unit 624 is configured to obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or lower limit of the quality control standard, and the process average value and the process standard deviation.
进一步地，所述装置还包括能力评价校准模块640，包括：Further, the device further includes a capability evaluation calibration module 640, including:
可视化单元641，用于对所述质量样本进行可视化质量分析，得到可视化分析结果；a visualization unit 641, configured to perform visual quality analysis on the quality sample to obtain a visual analysis result;
校对单元642，用于将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。The proofreading unit 642 is configured to collate the visual analysis result with the process capability evaluation result to obtain a process capability ultimate evaluation result.
需要说明的是：上述实施例提供的制造过程能力评价装置在进行制造过程能力评价时，仅以上述各功能模块的划分进行举例说明，实际应用中，可以根 据需要而将上述功能分配由不同的功能模块完成，即将制造过程能力评价装置的内部结构划分成不同的功能模块，以完成以上描述的全部或者部分功能。另外，本实施例提供的制造过程能力评价装置实施例与上述实施例提供的制造过程能力评价方法属于同一构思，其具体实现过程详见方法实施例，这里不再赘述。It should be noted that the manufacturing process capability evaluation device provided in the above embodiment is only illustrated by the division of the above functional modules when performing the manufacturing process capability evaluation. In actual applications, the above functions may be assigned differently according to needs. The functional module is completed, that is, the internal structure of the manufacturing process capability evaluation device is divided into different functional modules to complete all or part of the functions described above. In addition, the embodiment of the manufacturing process capability evaluation device provided by the embodiment is the same as the method for evaluating the capability of the manufacturing process provided by the foregoing embodiment, and the specific implementation process is described in detail in the method embodiment, and details are not described herein again.
以上所述仅为本发明的较佳实施例，并不用以限制本发明，凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, improvements, etc., which are within the spirit and scope of the present invention, should be included in the protection of the present invention. Within the scope.
Claims (10)
- 一种制造过程能力评价方法，其特征在于，包括：A manufacturing process capability evaluation method, characterized in that it comprises:获取质量数据得到质量样本，所述质量数据为制造过程中的中间体性能参数；Obtaining quality data to obtain a quality sample, the quality data being an intermediate performance parameter in the manufacturing process;对所述质量样本进行处理，得到质量评价结果；Processing the quality sample to obtain a quality evaluation result;根据所述质量评价结果，得到过程能力评价结果。According to the quality evaluation result, the process capability evaluation result is obtained.
- 根据权利要求1所述的方法，其特征在于，所述对所述质量样本进行处理，得到质量评价结果包括：The method according to claim 1, wherein said processing the quality sample to obtain a quality evaluation result comprises:根据所述质量样本，得到过程平均值和过程标准差；Obtaining a process average and a process standard deviation according to the quality sample;对所述质量样本进行数据筛查，得到质量控制标准样本；Performing data screening on the quality sample to obtain a quality control standard sample;根据所述质量控制标准样本，得到质量控制标准上限和/或下限；Obtaining an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。According to the upper and lower limits of the quality control standard, and the process average and the process standard deviation, the quality evaluation value is obtained as the quality evaluation result.
- 根据权利要求1所述的方法，其特征在于，还包括：The method of claim 1 further comprising:对所述质量样本进行可视化质量分析，得到可视化分析结果；Performing visual quality analysis on the quality sample to obtain a visual analysis result;将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。The visual analysis result is collated with the process capability evaluation result to obtain a process capability ultimate evaluation result.
- 根据权利要求1所述的方法，其特征在于，所述获取质量数据得到质量样本之前还包括：The method according to claim 1, wherein the obtaining the quality data before obtaining the quality sample further comprises:根据制造过程类型，确定一种或多种中间体性能的类型指标，对应得到一个或多个质量样本，以及一个或多个质量评价结果；Determining a type index of one or more intermediate properties according to a type of manufacturing process, corresponding to one or more quality samples, and one or more quality evaluation results;所述根据所述质量评价结果，得到过程能力评价结果包括：According to the quality evaluation result, the obtained process capability evaluation result includes:根据一个或多个质量评价结果和能力评价规则，确定过程能力评价结果，进一步还包括：Determining process capability evaluation results based on one or more quality evaluation results and capability evaluation rules, further including:根据能力评价映射关系，确定与质量评价结果相匹配的过程能力评价结果。According to the capability evaluation mapping relationship, the process capability evaluation result that matches the quality evaluation result is determined.
- 根据权利要求2所述的方法，其特征在于，所述对所述质量样本进行数据筛查，得到质量控制标准样本包括以下步骤：The method according to claim 2, wherein said performing data screening on said quality sample to obtain a quality control standard sample comprises the steps of:对所述质量样本进行一定数量的随机取样，得到试验样本；Performing a certain number of random sampling on the quality sample to obtain a test sample;对所述试验样本中的数据进行大小排序，得到顺序样本；Sorting the data in the test sample to obtain a sequential sample;根据筛选规则，从所述顺序样本中获取质量控制标准数据，并加入对应的质量控制标准样本；Obtaining quality control standard data from the sequential samples according to a screening rule, and adding a corresponding quality control standard sample;重复上述步骤一定次数，得到一个或两个质量控制标准样本。Repeat the above steps a certain number of times to get one or two quality control standard samples.
- 根据权利要求2所述的方法，其特征在于，所述根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果包括：The method according to claim 2, wherein the obtaining the quality evaluation value as the quality evaluation result according to the upper limit and/or the lower limit of the quality control standard, and the process average value and the process standard deviation includes:根据所述质量控制标准上限和下限，得到标准中间值和过程分散值，其中，Obtaining a standard intermediate value and a process dispersion value according to the upper and lower limits of the quality control standard, wherein
根据标准中间值、过程分散值、过程平均值及过程标准差，通过以下计算公式得到所述质量评价值：According to the standard intermediate value, the process dispersion value, the process average value and the process standard deviation, the quality evaluation value is obtained by the following calculation formula:其中，过程平均值为质量样本中的质量数据的平均值，过程标准差为所述质量数据的标准差。
Wherein, the process average is the average of the quality data in the quality sample, and the process standard deviation is the standard deviation of the quality data. - 根据权利要求2所述的方法，其特征在于，所述根据所述质量控制标准上限或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果包括：The method according to claim 2, wherein the obtaining the quality evaluation value as the quality evaluation result according to the upper or lower limit of the quality control standard, and the process average value and the process standard deviation includes:通过以下计算公式得到所述质量评价值：The quality evaluation value is obtained by the following calculation formula:其中，过程平均值为质量样本中的质量数据的平均值，过程标准差为所述质量数据的标准差。
Wherein, the process average is the average of the quality data in the quality sample, and the process standard deviation is the standard deviation of the quality data. - 一种制造过程能力评价装置，其特征在于，包括以下模块：A manufacturing process capability evaluation device, comprising the following modules:数据获取模块，用于获取质量数据得到质量样本，所述质量数据为制造过程中的中间体性能参数；a data acquisition module, configured to obtain quality data to obtain a quality sample, wherein the quality data is an intermediate performance parameter in a manufacturing process;数据处理模块，用于对所述质量样本进行处理，得到质量评价结果；a data processing module, configured to process the quality sample to obtain a quality evaluation result;映射模块，用于根据所述质量评价结果，得到过程能力评价结果。And a mapping module, configured to obtain a process capability evaluation result according to the quality evaluation result.
- 根据权利要求8所述的装置，其特征在于，所述数据处理模块包括：The device according to claim 8, wherein the data processing module comprises:过程处理单元，用于根据所述质量样本，得到过程平均值和过程标准差；a process processing unit, configured to obtain a process average value and a process standard deviation according to the quality sample;筛查单元，用于对所述质量样本进行数据筛查，得到质量控制标准样本；a screening unit for performing data screening on the quality sample to obtain a quality control standard sample;标准区间单元，用于根据所述质量控制标准样本，得到质量控制标准上限和/或下限；a standard interval unit for obtaining an upper limit and/or a lower limit of the quality control standard according to the quality control standard sample;评价值单元，用于根据所述质量控制标准上限和/或下限，及过程平均值和过程标准差，得到质量评价值作为质量评价结果。The evaluation value unit is configured to obtain a quality evaluation value as a quality evaluation result according to the upper limit and/or lower limit of the quality control standard, and the process average value and the process standard deviation.
- 根据权利要求8所述的装置，其特征在于，还包括能力评价校准模块，包括：The device according to claim 8, further comprising a capability evaluation calibration module, comprising:可视化单元，用于对所述质量样本进行可视化质量分析，得到可视化分析结果；a visualization unit, configured to perform visual quality analysis on the quality sample to obtain a visual analysis result;校对单元，用于将所述可视化分析结果与所述过程能力评价结果进行校对，得到过程能力终极评价结果。The proofreading unit is configured to collate the visual analysis result with the process capability evaluation result to obtain a process capability ultimate evaluation result.
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