CN102436538A - Method for carrying out product maturity quantization by adopting small sample-maturity variable strategy - Google Patents

Abstract

The invention discloses a method for carrying out product maturity quantization by adopting a small sample-maturity variable strategy. The method can provide an effective path and method for reasonability, completeness, and quality stability under a certain function and performance level of aerospace products in a life period of research, production and use links. In the method, key characteristics of the aerospace products in a design process, a production and manufacture process and a use process are comprehensively considered, core elements of design maturity variable factors, manufacture process maturity variable factors, process control maturity variable factors and the like influencing product maturity are recognized, and the whole process of realizing and using the products is controlled. According to the method provided by the invention, relevant technical elements of the products can be sorted, key characteristics of design, process and procedure control of the products are recognized, maturity degrees of design, process and procedure control of the products are quantified, grade of the maturity of the products is determined, and balance basis is provided for selecting the products by a complex space navigation system.

Description

Adopt System in Small Sample Situation-ripe variable strategy to carry out the method that the product degree of ripeness quantizes

Technical field

The present invention relates to a kind of quantization method of the product degree of ripeness to the aerospace product; More particularly say, be to the aerospace product in development, produce and use rationality in the life cycle of link, completeness and a kind of measure of quality stability under certain function, performance level.

Background technology

The aerospace product generally has characteristics such as high request, excessive risk and System in Small Sample Situation; This and guarantee to have formed strong contrast between the once successful requirement of engineering duty, also make classical quality and reliability engineering method be difficult to fully satisfy the demand that space technology is developed.

How to solve the contradiction between System in Small Sample Situation development and high-quality, the highly reliable requirement; How to identify influencing the ripe key element of product; And realize and use overall process to control at product; Being not only product technology R&D work person and the problem that the product development supvr very pays close attention to, also is one of research focus of at present domestic and international aerospace field academia and engineering circle.

Introduced the bulk properties that determine the ripe bulk properties of product often to depend on the product degree of ripeness in " space product engineering " book, mainly comprised 3 aspects, i.e. design, manufacturing process and product are realized whole process quality control.Through aerospace system and the risk identification of product at different levels in life cycle and analysis and research are found, have in the specific design proposal that the product function performance is changed the reasons such as deviation control project that the unsettled manufacturing process that has the functional performance that influences product in responsive design parameter, the specific process program, product can not the test function performance is to cause the aerospace product under the System in Small Sample Situation situation, being difficult to realize the major reason highly reliable, that high-quality requires because of the product environment for use changes.Therefore take all factors into consideration design, manufacturing process and the use of product, the refinement, quantification and the controlled level that promote product design key characteristic, manufacturing key characteristic and process control key characteristic just seem extremely important.

Present international aerospace field adopts technology maturity and manufacturing degree of ripeness assessment technique that space technology risk management problem is assessed; These methods have important use value at the aspects such as structure of the productive capacity of new technology under the completeness of research and development to use transforming and applicability, the product lot quantity condition of production to product risks identification and control to the aerospace product; But above-mentioned technology to the bulk properties of specific product and the ripe essential requirement of product consider not enough, to System in Small Sample Situation product degree of ripeness promote directive function that particularly product quality and reliability promote not significantly, to the aspects such as whole ripe problem under the link cross-couplings situation such as the product design of solution aerospace engineering, technology, process control; Can't fast and effeciently judge, exist certain defective and deficiency.

Summary of the invention

The objective of the invention is to characteristics such as System in Small Sample Situation development, highly reliable, high-quality, for the aerospace product in development, produce and use that quality stability provides a kind of effective way and method under rationality, completeness and certain function in the life cycle of link, the performance level.This method synthesis is considered design process, manufacturing process and the use key characteristic of product; Identify influencing the ripe key element of product (designing ripe variables, the ripe variables of manufacturing process and the ripe variables of process control), and control in the overall process of product realization and use.

The present invention be directed to the clear and definite specific standard product of state of the art; But be to be independent of the product complete degree of model development and the tolerance of level of application; Being meant the movable basic line figure such as research and development, production, application of artificial delivery article, is to select for use for product the reference frame of weighing the pros and cons is provided.The present invention is the product degree of ripeness quantization method that a kind of System in Small Sample Situation development aerospace product is realized fast-ripenin; This method is launched to the ripe variables of design, the ripe variables of manufacturing process, the ripe variables three big key element classifications of process control; The ripe variables of said design adopts the fuzzy set theory quantization method after the coupling of design maturity weight factor quadrature, obtains the product design maturity; The ripe variables of said manufacturing process adopts the interval quantization method after the coupling of manufacturing process maturity weight factor quadrature, obtains the product manufacture maturity; The ripe variables of said process control adopts the statistical theory quantization method after the coupling of process control maturity weight factor quadrature; Obtain product process control maturity; Through the average pairing comparision of the limit with product design maturity, product manufacture maturity and the coupling of product process control maturity quadrature after, obtain the product degree of ripeness.

The advantage of product degree of ripeness quantization method of the present invention is: (1) helps the ripe variables of product design, the ripe variables of manufacturing process, the ripe variables of process control are discerned, and for the correlated variables factor adopts fuzzy set theory quantization method, interval quantization method, statistical theory quantitative analysis the data source of product degree of ripeness quantitative analysis is provided; (2) help the techniqueflow that the direct product degree of ripeness promotes; (3) help complete path figure and the whole technology that comprised and the set of method that clear and definite product maturity promotes target, direction and detailed process; (4) help in-depth and distinct product essential characteristic and fast-ripenin path; (5) help refinement and each item engineering activity that quantizes research and development of products, cultivation, application process, promote aerospace product the implementing of quality management requirement that become more meticulous.

Embodiment

To combine embodiment that the present invention is done further detailed description below.

The present invention is the product degree of ripeness quantization method that a kind of System in Small Sample Situation development aerospace product is realized fast-ripenin; This method is to measure to ripe variables of design ripe variables, manufacturing process and the ripe variables of process control, thus for the aerospace product in development, produce and use that quality stability provides a kind of effective way and method under rationality, completeness and certain function in the life cycle of link, the performance level.

The concrete treatment step of the present invention is:

Step 1: select product, and determine technical indicator AA according to product;

Step 2: confirm corresponding skill element YAA according to AA;

Step 3: adopt the fuzzy set theory quantization method to handle to AA and YAA, obtain the initial designs maturity D of product _InThen with design maturity weight D ₀With initial designs maturity D _InCarry out the quadrature coupling, obtain product design maturity D, i.e. D=D ₀* D _In

Step 4: adopt the interval quantization method to handle to AA and YAA, obtain the original manufactured technical maturity degree M of product _InUse manufacturing process maturity weight M then ₀With original manufactured technical maturity degree M _InCarry out the quadrature coupling, obtain product manufacture maturity M, i.e. M=M ₀* M _In

Step 5: adopt the statistical theory quantization method to handle to AA and YAA, obtain the initial procedure control maturity P of product _InUse process control maturity weight P then ₀With initial procedure control maturity P _InCarry out the quadrature coupling, obtain product process control maturity P, i.e. P=P ₀* P _In

Step 6: after through the average pairing comparision of the limit product design maturity D, product manufacture maturity M and product process control maturity P three being carried out quadrature coupling, obtain the product degree of ripeness PML of selected product, i.e. PML=DMP.

(1) designs ripe variables

In the present invention, product design maturity D is according to the initial ripe variables D of product design _InWith design maturity weight factor, promptly design maturity weight D ₀Funtcional relationship to the product design maturity D of product design element is expressed as D=D ₀* D _In:

$D_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_d\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_b\end{array}\right],$ $D_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_b\end{array}\right],$ AA _dRepresent d technical indicator, YAA _bExpression AA _dIn b skill element.

(2) the ripe variables of manufacturing process

In the present invention, product manufacture maturity M is according to the initial ripe variables M of product manufacture _InWith manufacturing process maturity weight factor, i.e. manufacturing process maturity weight M ₀Funtcional relationship to the product manufacture maturity M of product manufacture element is expressed as M=M ₀* M _In

$M_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_m\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_n\end{array}\right],$ $M_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_n\end{array}\right],$ AA _mRepresent m technical indicator, YAA _mExpression AA _mIn n skill element.

(3) the ripe variables of process control

In the present invention, product process control maturity P is according to the initial ripe variables P of product process control _InWith process control maturity weight factor, i.e. process control maturity weight P ₀Funtcional relationship to the product process control maturity P of product process control element is expressed as P=P ₀* P _In:

$P_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_p\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_q\end{array}\right],$ $P_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_q\end{array}\right],$ AA _pRepresent p technical indicator, YAA _qExpression AA _pIn q skill element.

The present invention researchs and analyses through above-mentioned treatment step; Can realize effective identification of product design key characteristic, manufacturing process key characteristic and process control key characteristic; Then; But can realize to realize and the fast detecting and the assessment of level of application the basic foundation of selecting for use product to provide to weigh the pros and cons for complicated aerospace system through product design, manufacturing process and process control maturity weight factor that weight calculation obtains to product.

Embodiment 1

Certain type solar array driving mechanism product includes power conducting ring AA ₁, hoop AA ₂, load capacity AA ₃, angular velocity AA ₄The key technical indexes, relate to noise, 12 skill elements such as energising number, rated current, as shown in the table.

In the present invention, adopt the fuzzy set theory quantization method to handle, obtain the initial designs maturity D of product for each technical indicator AA and skill element YAA in the table _InThen with design maturity weight D ₀With initial designs maturity D _InCarry out the quadrature coupling, obtain product design maturity D, i.e. D=D ₀* D _In

Because $D_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ {\mathrm{AA}}_3\\ {\mathrm{AA}}_4\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ {\mathrm{YAA}}_3\\ .\\ .\\ .\\ {\mathrm{YAA}}_{12}\end{array}\right],$ $D_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_{12}\end{array}\right],$ Then $D=\left(\begin{array}{c}0.664\\ 0.553\\ 0.556\\ 0.889\\ 0.334\\ 1\\ 0.447\\ 0.445\\ 0.552\\ 0.448\\ 0.889\\ 1\end{array}\right).$

In the present invention, adopt the interval quantization method to handle, obtain the original manufactured technical maturity degree M of product for each technical indicator AA and skill element YAA in the table _InUse manufacturing process maturity weight M then ₀With original manufactured technical maturity degree M _InCarry out the quadrature coupling, obtain product manufacture maturity M, i.e. M=M ₀* M _In

Because $M_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ {\mathrm{AA}}_3\\ {\mathrm{AA}}_4\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ {\mathrm{YAA}}_3\\ .\\ .\\ .\\ {\mathrm{YAA}}_{12}\end{array}\right],$ $M_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_{12}\end{array}\right],$ Then $M=\left(\begin{array}{c}0.556\\ 0.545\\ 0.589\\ 0.445\\ 0.224\\ 0.158\\ 0.254\\ 0.225\\ 0.352\\ 0.458\\ 0.552\\ 1\end{array}\right).$

In the present invention, adopt the statistical theory quantization method to handle, obtain the initial procedure control maturity P of product for each technical indicator AA and skill element YAA in the table _InUse process control maturity weight P then ₀With initial procedure control maturity P _InCarry out the quadrature coupling, obtain product process control maturity P, i.e. P=P ₀* P _In

Because $P_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ {\mathrm{AA}}_3\\ {\mathrm{AA}}_4\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ {\mathrm{YAA}}_3\\ .\\ .\\ .\\ {\mathrm{YAA}}_{12}\end{array}\right],$ $P_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_{12}\end{array}\right],$ Then $P=\left(\begin{array}{c}1.464\\ 1.533\\ 2.566\\ 1.822\\ 1.304\\ 1.258\\ 1.241\\ 0.845\\ 1.037\\ 0.996\\ 0.855\\ 1.369\end{array}\right).$

In the present invention, through the average pairing comparision of the limit product design maturity D, product manufacture maturity M and product process control maturity P three are carried out quadrature coupling after, obtain the product degree of ripeness PML of selected product, promptly PML=DMP ≈ 2.According to space flight company standard " aerospace unit product degree of ripeness deciding grade and level regulation ", Q/QJA 53-2010 judges that this type solar array driving mechanism product accomplished engineering development, is " engineering prototype product " (product degree of ripeness grade name).

In the present invention, through each parameter among the embodiment 1 is resolved, be to the mean value of the product degree of ripeness of each technology essential factor:

The present invention is that a kind of System in Small Sample Situation-ripe variable strategy that adopts carries out the method that the product degree of ripeness quantizes; Adopt method of the present invention to effective identification of product design, manufacturing process and process control key characteristic, definite and checking; Judge the relation of itself and design, manufacturing process and process control variables according to the product actual conditions; Finally confirmed the numerical value of product degree of ripeness; So both having solved the problem of technology and management essentials comprehensive measurement, and also satisfied the application requirements of quantisation metric, is present the most effective, feasible implementation method.

Claims (4)

1. one kind is adopted System in Small Sample Situation-ripe variable strategy to carry out the method that the product degree of ripeness quantizes, and it is characterized in that including the following step:

Step 1: select product, and determine technical indicator AA according to product;

Step 2: confirm corresponding skill element YAA according to AA;

Step 3: adopt the fuzzy set theory quantization method to handle to AA and YAA, obtain the initial designs maturity D of product _InThen with design maturity weight D ₀With initial designs maturity D _InCarry out the quadrature coupling, obtain product design maturity D, i.e. D=D ₀* D _In

Step 4: adopt the interval quantization method to handle to AA and YAA, obtain the original manufactured technical maturity degree M of product _InUse manufacturing process maturity weight M then ₀With original manufactured technical maturity degree M _InCarry out the quadrature coupling, obtain product manufacture maturity M, i.e. M=M ₀* M _In

Step 5: adopt the statistical theory quantization method to handle to AA and YAA, obtain the initial procedure control maturity P of product _InUse process control maturity weight P then ₀With initial procedure control maturity P _InCarry out the quadrature coupling, obtain product process control maturity P, i.e. P=P ₀* P _In

Step 6: after through the average pairing comparision of the limit product design maturity D, product manufacture maturity M and product process control maturity P three being carried out quadrature coupling, obtain the product degree of ripeness PML of selected product, i.e. PML=DMP.

2. employing System in Small Sample Situation according to claim 1-ripe variable strategy carries out the method that the product degree of ripeness quantizes, and it is characterized in that: product design maturity D is according to the initial ripe variables D of product design _InWith design maturity weight D ₀Funtcional relationship to the product design maturity D of product design element is expressed as D=D ₀* D _In:

$D_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_d\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_b\end{array}\right],$ $D_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_b\end{array}\right],$ AA _dRepresent d technical indicator, YAA _bExpression AA _dIn b skill element.

3. employing System in Small Sample Situation according to claim 1-ripe variable strategy carries out the method that the product degree of ripeness quantizes, and it is characterized in that: product manufacture maturity M is according to the initial ripe variables M of product manufacture _InWith manufacturing process maturity weight M ₀Funtcional relationship to the product manufacture maturity M of product manufacture element is expressed as M=M ₀* M _In

$M_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_m\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_n\end{array}\right],$ $M_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_n\end{array}\right],$ AA _mRepresent m technical indicator, YAA _mExpression AA _mIn n skill element.

4. employing System in Small Sample Situation according to claim 1-ripe variable strategy carries out the method that the product degree of ripeness quantizes, and it is characterized in that: product process control maturity P is according to the initial ripe variables P of product process control _InWith process control maturity weight P ₀Funtcional relationship to the product process control maturity P of product process control element is expressed as P=P ₀* P _In:

$P_{\mathrm{In}}=\left[\begin{array}{c}{\mathrm{AA}}_1\\ {\mathrm{AA}}_2\\ .\\ .\\ .\\ {\mathrm{AA}}_p\end{array}\right]\×\left[\begin{array}{c}{\mathrm{YAA}}_1\\ {\mathrm{YAA}}_2\\ .\\ .\\ .\\ {\mathrm{YAA}}_q\end{array}\right],$ $P_0=\left[\begin{array}{ccccc}{\mathrm{YAA}}_1& 0& 0& 0& 0\\ 0& {\mathrm{YAA}}_2& 0& 0& 0\\ 0& 0& {\mathrm{YAA}}_3& 0& 0\\ ...& ...& ...& ...& ...\\ 0& 0& 0& 0& {\mathrm{YAA}}_q\end{array}\right],$ AA _pRepresent p technical indicator, YAA _qExpression AA _pIn q skill element.