CN104517233B - The method of space flight unit product maturity control - Google Patents
The method of space flight unit product maturity control Download PDFInfo
- Publication number
- CN104517233B CN104517233B CN201310442466.2A CN201310442466A CN104517233B CN 104517233 B CN104517233 B CN 104517233B CN 201310442466 A CN201310442466 A CN 201310442466A CN 104517233 B CN104517233 B CN 104517233B
- Authority
- CN
- China
- Prior art keywords
- mtd
- msub
- mtr
- key element
- mrow
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 239000013598 vector Substances 0.000 claims abstract description 19
- 238000004519 manufacturing process Methods 0.000 claims abstract description 11
- 238000013139 quantization Methods 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 33
- 238000011161 development Methods 0.000 claims description 12
- 238000011002 quantification Methods 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 4
- 230000004931 aggregating effect Effects 0.000 claims description 3
- 238000012356 Product development Methods 0.000 abstract description 11
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000005259 measurement Methods 0.000 abstract description 3
- 230000018109 developmental process Effects 0.000 description 11
- 230000008569 process Effects 0.000 description 6
- 238000013461 design Methods 0.000 description 3
- 238000004513 sizing Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000010923 batch production Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007711 solidification Methods 0.000 description 1
- 230000008023 solidification Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of method of space flight unit product maturity control, there are following steps：Step 1：Product is selected, it is specified that the indices that should meet；Step 2：Determine the actual indices met of product；Step 3：By collecting the maturity grade of each sub- key element, sub- key element maturity ranking vector is obtained；Step 4：And then obtain weight of each sub- key element relative to product；Step 5：The maturity grade of product is obtained by the method for weighting.The present invention is that a kind of System in Small Sample Situation develops the product maturity quantization method that aerospace product realizes fast-ripenin, for product development, production and the reasonability, the completeness that all technology essential factors of Life cycle such as use, and the measurement of quality stability provides effective way under certain function, performance level.
Description
Technical field
The present invention relates to a kind of method of space flight unit product maturity control, the present invention passes through the maturation to space product
Degree control carries out quantitatively evaluating, to the development progress situation of product, quality and reliability working condition and products application technology wind
Danger has carried out comprehensive measurement, to build the quantization propulsion of space product development work and checking system, quality and reliability work
Closed loop management and self-perfection provide an approach.
Background technology
Space product the characteristics of to have that application technology is new, the lead time is long, transmitting risk is high, small enterprises are suited to filling in the gaps in the manufacture by large enterprises of complete sets of equipment wide, to ensure
Task once successfully proposes higher requirement, and currently Space Equipment scale amounts constantly expand, tranmitting frequency increases year by year
Add, technical merit integrally rises to, space flight research and production gradually grinds production, high density from long period, single-piece development mode to mass
Transmitting transition, new contradiction, new problem and new challenge are proposed to space flight development, production and application.
How to solve batch production and grind production and the contradiction between space product high quality, highly reliable requirement, promote space product fast
It is rapid-result ripe, the closed loop management system of quality of space product and reliability Work is built, strengthens quality and reliability and ensures that work is whole
Ability of immigrants, turn into the problem of China's space industry is in the urgent need to address.
Space product maturity concept is the experience based on space industry engineering development and quality management many decades, is being deepened
On the basis of space system engineering theoretical method, according to space product development, using, perfect, solidification objective law and strong
Change the basic ideas of quality of space product and reliability management, proposed by furtheing investigate and repeatedly practising.
On the basis of traditional system engineering process, product maturity concept, method have not only fully merged existing space flight
The successful experience and technological achievement of engineering management, and by realizing the extension of " total factor, overall process, total system ", enhance
Aerospace engineering managerial ability, so as to be established for further control engineering risk, the high quality for realizing navigation system, highly reliable requirement
Basis.
The content of the invention
In order to solve the above problems, the purpose of the present invention is the complexity and particularity for space system engineering management,
Quality and reliability to solve under space product excessive risk, Small Sample Conditions ensures to provide a kind of space flight unit product maturity
The method of control, to ensure that space product such as is developing, produces and used at the high quality, highly reliable of link, promote space product
Fast-ripenin；The present invention considers the design, production and the key characteristic and key project using process of product, with reference to product
Maturity deciding grade and level criterion, the ripe sub- key element of product will be influenceed and identified, propose corrective measure for weak link, and producing
The overall process that product are realized and used is controlled by.
In order to achieve the above object, the present invention has following technical scheme：
A kind of method of space flight unit product maturity control of the present invention, there is following steps：
Step 1：Product is selected, determines what the sub- key element regulation should meet according to sub- key element i technical connotation and key check points
Indices AAi；Wherein, i=1,2 ..., 23；
Step 2：According to AAiDetermine the actual indices YAA met of producti；
Step 3：Using statistical theory quantization method and normalization processing method, to AAiAnd YAAiIndices carry out
Compare one by one, with reference to product maturity deciding grade and level criterion, the degree that indices are met to Development Techniques requirement quantifies display, obtained
Sub- key element i indices beginning-maturity ranking matrix Zi.Then with each index degree of association matrix QiWith sub- key element i items
Index beginning-maturity ranking matrix ZiOrthogonal coupling is carried out, obtains sub- key element i maturity grade Pi, i.e. Pi=Qi T×Zi, lead to
The maturity grade for collecting each sub- key element is crossed, obtains sub- key element maturity ranking vector P=[P1, P2..., P23]T；
Step 4：Entered using the Fuzzy AHP weight size shared in product Capability Maturity Model to each sub- key element
Row processing, is handled " product-key element " layer to obtain weight vectors W of each key element relative to product first1, then to " wanting
Element-sub- key element " layer is handled to obtain weight vectors W of each sub- key element relative to key element2, and then obtain each sub- key element relative to
The weight W, W=W of product2×W1；
Step 5：The maturity grade of product is obtained by the method for weighting, i.e.,Its
In：
(1) sub- key element maturity factor：
Sub- key element i maturity grade PiAccording to each index degree of association matrix QiWith sub- key element i indices initially into
Ripe degree ranking matrix Zi, sub- key element i maturity grade PiFunctional relation expression formula be Pi=Qi T×Zi：
Wherein, fun () represents criterion of being defined the level to the product maturity of indices matching degree quantification treatment；AAinRepresent
N-th of index as defined in i-th of sub- key element of the product, YAAinRepresent the actual index met of i-th of sub- key element of the product；Zin
Quantification treatment result is represented, according to product Capability Maturity Model and deciding grade and level criterion, Zin∈ [1,2 ..., 8]；
Sub- key element i maturity grade PiCalculating completed by computer；
(2) the weighted value factor of sub- key element：
" product-key element " layer is handled first, will be compared two-by-two between each key element, according to 0.1-0.9 scales according to
Secondary scale, the fuzzy judgment matrix R of " product-key element " layer can be obtained1It is as follows：
Wherein, (1) rii=0.5, i=1,2 ..., 8；
(2)rij=1-rji, i, j=1,2 ..., 8；
(3)rij=rik-rjk, i, j, k=1,2 ..., 8；
Using least square method and method of Lagrange multipliers, weight vectors are obtained by solving：
W1=[w1, w2..., w8]T；
Then " key element-sub- key element " layer is handled, this layer includes 8 judgment matrixs, by each judgment matrix
Compare two-by-two between each sub- key element, according to 0.1-0.9 scales successively scale, 8 fuzzy judgment matrix are respectively obtained, according to most
Small square law and method of Lagrange multipliers, the weight vectors of each judgment matrix are tried to achieve respectively, by aggregating, obtain sub- key element
Relative to the weight matrix W of key element2；
Pass through W=W2×W1Each sub- key element relative to product weight, each sub- key element relative to the weight of product calculating
Completed by computer；
The maturity grade PRL of product is calculated more than.
Wherein, the allocation of computer is CPU：Internal memory：4GB, hard disk 500GB, 19 cun of display.
Due to taking above technical scheme, the present invention has the following advantages：
(1) Whole Process Control and the fine-grained management of product development are strengthened, 23 sub- key elements of product Capability Maturity Model are contained
Product design, manufacture, the key project for the Life cycle domestic demand concern applied are covered, by being controlled to 23 sub- key elements
And evaluation, the development progress situation of product can be reflected comprehensively, the effective prevention and control of technical risk are realized and overall process becomes more meticulous quality
Management；(2) unified metric, standard and method from product are provided, product Capability Maturity Model is applied to that space flight is at different levels, all kinds of productions
Product, 8 grades of product Capability Maturity Model meet the general flow of space product development, therefore product maturity can be used as degree
A kind of instrument of the like product development progress situation of Liang Bu commensurates, reference frame is provided for administrative department；(3) quantified controlling
Product development situation, quickly identifies weak link, and product Capability Maturity Model provides a kind of quantified controlling product development progress feelings
The method of condition, by comparative product Current developments degree and the expection matching degree of task object, provide the quantization of each sub- key element
Evaluation result, and product weak link and deficiency are identified, provide help to evade product development technical risk as early as possible.
Brief description of the drawings
Fig. 1 is product maturity of the present invention, key element, the block diagram of sub- key element.
Embodiment
The present invention is that a kind of System in Small Sample Situation develops the product maturity quantization method that aerospace product realizes fast-ripenin, is product
Reasonability, the completeness of all technology essential factors of Life cycle such as develop, produce and use, and in certain function, performance water
The measurement of flat lower quality stability provides effective way.
The present invention presses the development process of space product, product maturity is divided into 8 grades, according to principle prototype, work
Journey model machine, flying product, flight examination, repeatedly flight examination, three-level sizing, two level sizing, one-level sizing order by
Walk progressive.
Product maturity is divided into 8 key elements 23 by the present invention by the design of product, production and the Life cycle used
Sub- key element, as shown in Figure 1
A kind of method of space flight unit product maturity control of the present invention, there is following steps：
Step 1：Product is selected, determines what the sub- key element regulation should meet according to sub- key element i technical connotation and key check points
Indices AAi；Wherein, i=1,2 ..., 23；
Step 2：According to AAiDetermine the actual indices YAA met of producti；
Step 3：Using statistical theory quantization method and normalization processing method, to AAiAnd YAAiIndices carry out
Compare one by one, with reference to product maturity deciding grade and level criterion, the degree that indices are met to Development Techniques requirement quantifies display, obtained
Sub- key element i indices beginning-maturity ranking matrix Zi.Then with each index degree of association matrix QiWith sub- key element i items
Index beginning-maturity ranking matrix ZiOrthogonal coupling is carried out, obtains sub- key element i maturity grade Pi, i.e. Pi=Qi T×Zi, lead to
The maturity grade for collecting each sub- key element is crossed, obtains sub- key element maturity ranking vector P=[P1, P2..., P23]T；
Step 4：Entered using the Fuzzy AHP weight size shared in product Capability Maturity Model to each sub- key element
Row processing, is handled " product-key element " layer to obtain weight vectors W of each key element relative to product first1, then to " wanting
Element-sub- key element " layer is handled to obtain weight vectors W of each sub- key element relative to key element2, and then obtain each sub- key element relative to
The weight W, W=W of product2×W1；
Step 5：The maturity grade of product is obtained by the method for weighting, i.e.,Its
In：
(1) sub- key element maturity factor：
Sub- key element i maturity grade PiAccording to each index degree of association matrix QiWith sub- key element i indices initially into
Ripe degree ranking matrix Zi, sub- key element i maturity grade PiFunctional relation expression formula be Pi=Qi T×Zi：
Wherein, fun () represents criterion of being defined the level to the product maturity of indices matching degree quantification treatment；AAinRepresent
N-th of index as defined in i-th of sub- key element of the product, YAAinRepresent the actual index met of i-th of sub- key element of the product；Zin
Quantification treatment result is represented, according to product Capability Maturity Model and deciding grade and level criterion, Zin∈ [1,2 ..., 8]；
Sub- key element i maturity grade PiCalculating completed by computer；
(2) the weighted value factor of sub- key element：
" product-key element " layer is handled first, will be compared two-by-two between each key element, according to 0.1-0.9 scales according to
Secondary scale, the fuzzy judgment matrix R of " key element of product one " layer can be obtained1It is as follows：
Wherein, (1) rii=0.5, i=1,2 ..., 8；
(2)rij=1-rji, i, j=1,2 ..., 8；
(3)rij=rik-rjk, i, j, k=1,2 ..., 8；
Using least square method and method of Lagrange multipliers, weight vectors are obtained by solving：
W1=[w1, w2..., w8]T；
Then " key element-sub- key element " layer is handled, this layer includes 8 judgment matrixs, by each judgment matrix
Compare two-by-two between each sub- key element, according to 0.1-0.9 scales successively scale, 8 fuzzy judgment matrix are respectively obtained, according to most
Small square law and method of Lagrange multipliers, the weight vectors of each judgment matrix are tried to achieve respectively, by aggregating, obtain sub- key element
Relative to the weight matrix W of key element2；
Pass through W=W2×W1Each sub- key element relative to product weight, each sub- key element relative to the weight of product calculating
Completed by computer；
The maturity grade PRL of product is calculated more than.
The allocation of computer is CPU：The boxes of Intel Duos i3 3220, mainboard：Asus P8B75, internal memory：4GB, hard disk
500GB, 19 cun of display；The MATLAB that the matrix software for calculation that the computer uses is produced for MathWorks companies of the U.S.
Business mathematics software.
Embodiment 1
By experiment and site assessment, determine every as defined in certain type solar array drive mechanism product development technical requirements
Index and the indices actually reached are as shown in the table.
In the present invention, using statistical theory quantization method and normalization processing method, to AAiAnd YAAiIndices
Compared one by one, with reference to product maturity deciding grade and level criterion, the degree that indices are met to Development Techniques requirement quantifies display,
Obtain sub- key element i indices beginning-maturity ranking matrix Zi.Then with each index degree of association matrix QiWith sub- key element i's
Indices beginning-maturity ranking matrix ZiOrthogonal coupling is carried out, obtains sub- key element i maturity grade Pi, i.e. Pi=Qi T×
Zi,；
Due to Pi=Qi T×Zi,
By collecting, the maturity grade for obtaining each sub- key element is as shown in the table.
| Sub- key element 1-1-1 | Sub- key element 1-1-2 | Sub- key element 1-2-1 | Sub- key element 1-2-2 | Sub- key element 1-2-3 | Sub- key element 1-2-4 |
| 3 | 4 | 2 | 4 | 5 | 5 |
| Sub- key element 1-3-1 | Sub- key element 1-3-2 | Sub- key element 1-3-3 | Sub- key element 1-3-4 | Sub- key element 1-3-5 | Sub- key element 1-3-6 |
| 2 | 2 | 4 | 4 | 3 | 4 |
| Sub- key element 1-3-7 | Sub- key element 2-1-1 | Sub- key element 2-1-2 | Sub- key element 2-2-1 | Sub- key element 2-2-2 | Sub- key element 2-3-1 |
| 3 | 3 | 3 | 4 | 2 | 2 |
| Sub- key element 2-3-2 | Sub- key element 3-1-1 | Sub- key element 3-1-2 | Sub- key element 3-2-1 | Sub- key element 3-2-2 | |
| 4 | 3 | 2 | 2 | 3 |
In the present invention, it is big to each sub- key element weight shared in product Capability Maturity Model using Fuzzy AHP
It is small to be handled, " product-key element " layer is handled to obtain weight vectors W of each key element relative to product first1, it is then right
" key element-sub- key element " layer is handled to obtain weight vectors W of each sub- key element relative to key element2, using least square method and drawing
Ge Lang multiplier methods, weight vectors are obtained by solution and obtained：
Each sub- key element relative to product weight W=W2×W1, by calculating, obtain power of each sub- key element relative to product
Weight is as shown in the table.
| Sub- key element 1-1-1 | Sub- key element 1-1-2 | Sub- key element 1-2-1 | Sub- key element 1-2-2 | Sub- key element 1-2-3 | Sub- key element 1-2-4 |
| 0.062 | 0.062 | 0.040 | 0.043 | 0.040 | 0.040 |
| Sub- key element 1-3-1 | Sub- key element 1-3-2 | Sub- key element 1-3-3 | Sub- key element 1-3-4 | Sub- key element 1-3-5 | Sub- key element 1-3-6 |
| 0.050 | 0.050 | 0.056 | 0.053 | 0.059 | 0.062 |
| Sub- key element 1-3-7 | Sub- key element 2-1-1 | Sub- key element 2-1-2 | Sub- key element 2-2-1 | Sub- key element 2-2-2 | Sub- key element 2-3-1 |
| 0.062 | 0.046 | 0.046 | 0.034 | 0.034 | 0.031 |
| Sub- key element 2-3-2 | Sub- key element 3-1-1 | Sub- key element 3-1-2 | Sub- key element 3-2-1 | Sub- key element 3-2-2 | |
| 0.037 | 0.034 | 0.019 | 0.012 | 0.028 |
In the present invention, the maturity grade of product is obtained by the method for weighting, i.e.,
According to aerospace enterprise group standard《Aerospace unit product maturity deciding grade and level regulation》, Q/QJA 53-2010 and Q/QJA146-2013, sentence
Break the type solar array drive mechanism product be " flying product " (product maturity grade name), by it was found that, this hair
It is bright truly to reflect the development progress situation of product, and the weak link of product development process is objectively responded out, be advantageous to aerospace
Product fast lifting product maturity.
Claims (2)
- A kind of 1. method of space flight unit product maturity control, it is characterised in that：There are following steps：Step 1：Product is selected, determines that the sub- key element provides the items that should meet according to sub- key element i technical connotation and key check points Index AAi；Wherein, i=1,2 ..., 23；Step 2：According to AAiDetermine the actual indices YAA met of producti；Step 3：Using statistical theory quantization method and normalization processing method, to AAiAnd YAAiIndices carry out one by one Compare, with reference to product maturity deciding grade and level criterion, the degree that indices are met to Development Techniques requirement quantifies display, and obtaining son will Plain i indices beginning-maturity ranking matrix Zi, then with each index degree of association matrix QiWith sub- key element i indices Beginning-maturity ranking matrix ZiOrthogonal coupling is carried out, obtains sub- key element i maturity grade Pi, i.e. Pi=Qi T×Zi, pass through remittance The maturity grade of total each sub- key element, obtains sub- key element maturity ranking vector P=[P1, P2..., P23]T；Step 4：At the Fuzzy AHP weight size shared in product Capability Maturity Model to each sub- key element Reason, is handled " product-key element " layer to obtain weight vectors W of each key element relative to product first1, then to " key element-son Key element " layer is handled to obtain weight vectors W of each sub- key element relative to key element2, and then each sub- key element is obtained relative to product Weight W, W=W2×W1；Step 5：The maturity grade of product is obtained by the method for weighting, i.e.,Wherein：(1) sub- key element maturity factor：Sub- key element i maturity grade PiAccording to each index degree of association matrix QiWith sub- key element i indices beginning-maturity Ranking matrix Zi, sub- key element i maturity grade PiFunctional relation expression formula be Pi=Qi T×Zi：<mrow> <msub> <mi>Q</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>Q</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Q</mi> <mrow> <mi>i</mi> <mn>2</mn> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Q</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> <msub> <mi>Z</mi> <mi>i</mi> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mrow> <mi>f</mi> <mi>u</mi> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>YAA</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>AA</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>f</mi> <mi>u</mi> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>YAA</mi> <mrow> <mi>i</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>AA</mi> <mrow> <mi>i</mi> <mn>2</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>f</mi> <mi>u</mi> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>YAA</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>AA</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>&CenterDot;</mo> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mn>2</mn> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mtd> </mtr> </mtable> </mfenced> </mrow>Wherein, fun () represents criterion of being defined the level to the product maturity of indices matching degree quantification treatment；AAinRepresent the production N-th of index as defined in i sub- key elements of position, YAAinRepresent the actual index met of i-th of sub- key element of the product；ZinRepresent Quantification treatment result, according to product Capability Maturity Model and deciding grade and level criterion, Zin∈ [1,2 ..., 8]；Sub- key element i maturity grade PiCalculating completed by computer；(2) the weighted value factor of sub- key element：" product-key element " layer is handled first, will two-by-two compare between each key element, marked successively according to 0.1-0.9 scales Degree, the fuzzy judgment matrix R of " product-key element " layer can be obtained1It is as follows：<mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>r</mi> <mn>11</mn> </msub> </mtd> <mtd> <msub> <mi>r</mi> <mn>12</mn> </msub> </mtd> <mtd> <mn>...</mn> </mtd> <mtd> <msub> <mi>r</mi> <mn>18</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>r</mi> <mn>21</mn> </msub> </mtd> <mtd> <msub> <mi>r</mi> <mn>22</mn> </msub> </mtd> <mtd> <mn>...</mn> </mtd> <mtd> <msub> <mi>r</mi> <mn>28</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>r</mi> <mn>81</mn> </msub> </mtd> <mtd> <msub> <mi>r</mi> <mn>82</mn> </msub> </mtd> <mtd> <mn>...</mn> </mtd> <mtd> <msub> <mi>r</mi> <mn>88</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>Wherein, rii=rik-rjk+ 0.5,Using least square method and method of Lagrange multipliers, weight vectors are obtained by solving：W1=[w1, w2..., w8]T；Then " key element-sub- key element " layer is handled, this layer includes 8 judgment matrixs, by each son in each judgment matrix Compare two-by-two between key element, according to 0.1-0.9 scales successively scale, 8 fuzzy judgment matrix are respectively obtained, according to a most young waiter in a wineshop or an inn Multiplication and method of Lagrange multipliers, the weight vectors of each judgment matrix are tried to achieve respectively, by aggregating, it is relative to obtain sub- key element In the weight matrix W of key element2；Wherein, wijRefer to weighted value of i-th sub- key element relative to jth item key element；Pass through W=W2×W1Weight of each sub- key element relative to product is obtained, each sub- key element passes through relative to the calculating of the weight of product Computer is completed；The maturity grade PRL of product is calculated more than.
- A kind of 2. method of space flight unit product maturity control as claimed in claim 1, it is characterised in that：The computer It is configured to CPU, internal memory：4GB, hard disk 500GB, 19 cun of display.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310442466.2A CN104517233B (en) | 2013-09-26 | 2013-09-26 | The method of space flight unit product maturity control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310442466.2A CN104517233B (en) | 2013-09-26 | 2013-09-26 | The method of space flight unit product maturity control |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104517233A CN104517233A (en) | 2015-04-15 |
| CN104517233B true CN104517233B (en) | 2018-01-19 |
Family
ID=52792488
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310442466.2A Active CN104517233B (en) | 2013-09-26 | 2013-09-26 | The method of space flight unit product maturity control |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104517233B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107590063A (en) * | 2016-07-07 | 2018-01-16 | 中国航天标准化研究所 | A kind of software product maturity assessment method |
| CN106251087A (en) * | 2016-08-11 | 2016-12-21 | 中国航天标准化研究所 | A kind of quantitative quality evaluation method for large complicated aerospace system |
| CN109710589A (en) * | 2018-11-23 | 2019-05-03 | 中国航空工业集团公司沈阳飞机设计研究所 | Database establishment method |
| CN111325431B (en) * | 2018-12-17 | 2023-10-10 | 中国航天标准化研究所 | Evaluation method for integrated maturity of satellite system |
| CN111260191B (en) * | 2020-01-09 | 2023-10-10 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Test bed maturity quantization method, device, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136034A (en) * | 2011-03-18 | 2011-07-27 | 北京航空航天大学 | Military aircraft reliability quantitative requirement demonstration method |
| CN102436538A (en) * | 2011-08-12 | 2012-05-02 | 中国航天标准化研究所 | Method for carrying out product maturity quantization by adopting small sample-maturity variable strategy |
-
2013
- 2013-09-26 CN CN201310442466.2A patent/CN104517233B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136034A (en) * | 2011-03-18 | 2011-07-27 | 北京航空航天大学 | Military aircraft reliability quantitative requirement demonstration method |
| CN102436538A (en) * | 2011-08-12 | 2012-05-02 | 中国航天标准化研究所 | Method for carrying out product maturity quantization by adopting small sample-maturity variable strategy |
Non-Patent Citations (5)
| Title |
|---|
| Measuring the maturity of risk management in large-scale construction projects;Guangshe Jia et al;《Automation in Construction》;20121221;第56-66页 * |
| Research on evaluation method of electronic product maturity;J Huang et al;《IEEE International Conference on Computing》;20111231;第118-121页 * |
| 成熟度评估在航天型号项目质量管理中的应用;周晓燕;《项目管理技术》;20110831;第9卷(第8期);第81-85页 * |
| 航天产品成熟度研究;袁家军;《航天器工程》;20110131;第20卷(第1期);第1-7页 * |
| 项目管理成熟度模型在航天型号项目管理中的应用研究;漆斌;《中国优秀硕士学位论文全文数据库 经济与管理科学辑》;20120715;第2012年卷(第07期);第J150-228页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104517233A (en) | 2015-04-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | A group decision method based on prospect theory for emergency situations | |
| CN104517233B (en) | The method of space flight unit product maturity control | |
| Sun et al. | An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources | |
| CN105512679A (en) | Zero sample classification method based on extreme learning machine | |
| CN103544544A (en) | Energy consumption forecasting method and device | |
| Gao et al. | Rolling bearing fault diagnosis of PSO–LSSVM based on CEEMD entropy fusion | |
| CN104102840A (en) | Evaluation method for photovoltaic power receptivity of power distribution network | |
| CN107545038A (en) | A kind of file classification method and equipment | |
| Liu et al. | Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model | |
| Kuzminov et al. | Economic coenosis stability: methodology and findings | |
| CN106295909A (en) | For calculating data processing method and the device of the electrical network project indicator | |
| CN106897282A (en) | The sorting technique and equipment of a kind of customer group | |
| CN103869102A (en) | Statistical and classifying method for loads of large regional power grid | |
| CN103207804B (en) | Based on the MapReduce load simulation method of group operation daily record | |
| Aslan | Archimedes optimization algorithm based approaches for solving energy demand estimation problem: a case study of Turkey | |
| Soni et al. | Optimised prediction model for stock market trend analysis | |
| CN101702172A (en) | Data discretization method based on category-attribute relation dependency | |
| Deng et al. | An intelligent hybrid short-term load forecasting model optimized by switching delayed PSO of micro-grids | |
| CN105590141A (en) | Genetic algorithm initial population construction method applied to optimized design of complex products | |
| CN108090835A (en) | A kind of Urban Data asset valuation system and method | |
| Mićić | Economic development of the Republic of Serbia determined by the sectoral structure of the economy | |
| CN104123452A (en) | GPU load comprehensive judgment method based on fuzzy decision | |
| CN104572900A (en) | Trait characteristic selection method for crop breeding evaluation | |
| CN108009668B (en) | Large-scale load adjustment prediction method applying machine learning | |
| CN105844396A (en) | Enterprise ecosystem theory-based electric power transaction information value added service evaluation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |