CN114638418A - Nuclear power construction collaborative quality and guarantee value chain optimization method based on double-layer GERT network - Google Patents
Nuclear power construction collaborative quality and guarantee value chain optimization method based on double-layer GERT network Download PDFInfo
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Abstract
The invention discloses a nuclear power construction collaborative quality-guaranteed value chain optimization method based on a double-layer GERT network, which comprises the steps of firstly establishing a nuclear power construction collaborative quality-guaranteed value chain double-layer GERT network; abstracting a nuclear power building collaborative quality assurance system into a network structure, wherein the network structure consists of three basic elements, namely a network node, a network arrow line and a network flow; the nuclear power building collaborative quality assurance system is divided into a service function layer and a collaborative main body layer, so that a double-layer GERT network is formed; important parameters of a nuclear power construction collaborative quality assurance value chain double-layer GERT network are obtained through analysis; establishing a nuclear power construction collaborative quality assurance value chain evaluation index, and identifying key collaborative activities; and optimizing the identified key cooperative activities, thereby realizing the optimization of the nuclear power building cooperative quality and guarantee value chain. The invention realizes continuous improvement, balanced development and overall synergy of the collaborative quality and value-preserving chain, and weakens the barrel effect possibly existing in the traditional means because the traditional means is limited in the business.
Description
Technical Field
The invention belongs to the technical field of nuclear power equipment construction quality optimization, and particularly relates to a nuclear power construction collaborative quality-guaranteed value chain optimization method of a double-layer graphic review network (namely a GERT network).
Background
In order to ensure the quality of nuclear power construction, the nuclear safety law obligation and obligation of a nuclear subject are required to be not transferred along with the entrusting relationship, meanwhile, the law obligation and obligation of a contractor are not reduced, and the personnel and departments responsible for implementing and verifying the quality assurance must have enough obligation and organization independence. In order to meet the requirements, a nuclear power construction forms a collaborative quality assurance system integrating the quality assurance of the general engineering contractor, the quality assurance of the contractor, the quality control of the general engineering contractor, the quality control of the contractor and the quality control of teams and groups, and quality assurance activities are jointly promoted through multi-party collaboration. However, the development of the nuclear power construction collaborative quality assurance activity requires cross-enterprise process docking and cross-platform information transmission, so that the collaborative difficulty of part of activities is high, the collaborative cost is high, the collaborative value is low, and the market advantage of nuclear power bidding internet surfing is weakened.
At present, research related to the collaborative quality assurance value of nuclear power construction is mainly divided into two aspects, namely, interaction between behaviors of a collaborative quality assurance service main body and the main body is normalized through design contract terms, regulations and rules and punishment constraints so as to control the collaborative value within a certain range, and analysis and evaluation are performed on a collaborative quality assurance service by means of new and old quality management tools so as to gradually eliminate redundant activities, so that the collaborative value is improved; however, the former aims to reduce the fluctuation of the cooperative quality guarantee value and lacks a means for continuous improvement, and the latter ploughs deeply in specific business, neglects the overall value while pursuing local value optimization, and has low improvement efficiency. Therefore, how to represent the nuclear power construction collaborative quality preservation value chain, evaluate the overall and local values, identify collaborative pain points, improve pertinently, and continuously and circularly improve the value of the whole chain is a problem to be solved urgently.
Disclosure of Invention
Aiming at the defects in the prior art, the technical problem to be solved by the invention is to provide a method for optimizing the nuclear power construction collaborative quality-guaranteed value chain of a double-layer GERT network, wherein the nuclear power construction collaborative quality-guaranteed value chain double-layer GERT network is constructed, important parameters of the nuclear power construction collaborative quality-guaranteed value chain are analyzed, evaluation indexes of the nuclear power construction collaborative quality-guaranteed value chain are established, the relation between the value output and the resource consumption of collaborative quality-guaranteed activities and the transmission process of the collaborative quality-guaranteed value chain and the resource consumption on the value chain are analyzed, the key business function and the key collaborative activities which restrict the benefits of the collaborative quality-guaranteed value chain are identified, a feasible new method is provided for realizing the continuous improvement, the balanced development and the overall synergy of the collaborative quality-guaranteed value chain, and the barrel effect possibly existing in the traditional means due to the limitation to the interior of the business is weakened.
In order to solve the technical problem, the invention adopts the following technical scheme:
a nuclear power construction collaborative quality and guarantee value chain optimization method based on a double-layer GERT network comprises the following specific steps:
s1, establishing a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network; abstracting a nuclear power building collaborative quality assurance system into a network structure, wherein the network structure consists of three basic elements, namely a network node, a network arrow line and a network flow;
when a nuclear power construction collaborative quality assurance value chain double-layer GERT network is established, a nuclear power construction collaborative quality assurance system is divided into a service function layer and a collaborative main body layer, so that the double-layer GERT network is formed; the service function layer is used as a parent layer and comprises different service nodes; a cooperative main body layer is arranged below each service node; the cooperation main body layer is used as a sublayer below each service node and consists of all cooperation main bodies participating in the service node; the connection between the cooperative bodies constitutes cooperative activity;
s2, analyzing to obtain important parameters of the nuclear power construction collaborative quality and guarantee value chain double-layer GERT network; the important parameters comprise important parameters of a service function layer and important parameters of a cooperation main body layer, and the important parameters of the service function layer comprise equivalent value transmission distribution rate from a source node of the layer to each service node, a yield increment mean value and a cost increment mean value of each service node and a value chain; the important parameters of the collaborative main layer comprise the equivalent value transfer allocation rate from the source node of the layer to the main node, the output increment average value and the cost increment average value of the collaborative activity;
s3, establishing a nuclear power construction collaborative quality and guarantee value chain evaluation index, and identifying key collaborative activities;
s301, evaluating the quality assurance value of the synergy; the collaborative quality guarantee value is the ratio of the average value of the output increment obtained by S2 to the average value of the corresponding cost increment;
s302, identifying key cooperative activities; calculating a value-added reduction eta of each service node of the service function layer based on the collaborative quality assurance value obtained in the step S301, wherein the service node with the maximum value-added reduction eta is a key service node alpha; then calculating the value-added reduction eta of each cooperative activity of the cooperative main layer under the key service node, wherein the cooperative activity with the maximum value-added reduction eta is the key cooperative activity beta;
and S4, optimizing the key cooperative activities identified in S3, thereby realizing the optimization of the nuclear power construction cooperative quality and guarantee value chain.
Further, the method comprises a step S5, wherein the step S2-S4 is repeated based on the optimized nuclear power construction collaborative quality and guarantee value chain, and the optimized nuclear power construction collaborative quality and guarantee value chain is obtained again until the steps S2-S4 are repeated for the set times or the nuclear power construction collaborative quality and guarantee value chain reaches the set requirements.
Wherein the specific steps of the step S1 are,
s101, decomposing the main body and the service function of the collaborative quality assurance, and determining the nuclear power construction collaborative quality assurance value chain double-layer GERT network node;
s102, determining a double-layer GERT network arrow line of a nuclear power building collaborative quality and guarantee value chain; the network arrow line is a connection line which connects two network nodes and is represented by an arrow;
s103, determining a double-layer GERT network flow of a nuclear power construction collaborative quality guarantee value chain, wherein the network flow refers to a value increment transmitted from one network node to the next network node, and the value increment is composed of two parameters of collaborative quality guarantee output Y and collaborative quality guarantee cost C.
Wherein the specific steps of the step S2 are,
s201, determining value transfer distribution rate p of double-layer GERT network nodes of nuclear power construction cooperative quality and guarantee value chainij；
Establishing value transfer distribution rate p from node i to node j in each layerijA maximum entropy model:
introducing a constraint condition:
constructing a Lagrangian function:
is obtained by standing point condition
Obtaining:
pij＝eβ-1
bringing the above into constraints
The value transfer allocation rate of the nodes can be obtained;
s202, solving an equivalent transfer function through a Messen formula of a signal flow graph;
in a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network, an upstream node i transmits a collaborative quality and guarantee value increment X to an adjacent downstream node jijObeying to a probability distribution f (x)ij) Its intalox Mij(s) is:
the equivalent transfer function is:
Wij(s)＝pijMij(s）
in a nuclear power building cooperative quality and guarantee value chain double-layer GERT network, Wr(s) is an equivalent transfer function of an r-th direct path from a node u to a node v, wherein r is 1,2, …, n; r is more than or equal to 1, Wk(Lh) The equivalent transfer coefficient of the kth ring in the h-order ring is the equivalent transfer function W from the node u to any reachable node v according to the Messen formula of the signal flow graphuv(s)
S203, solving important parameters of the collaborative quality assurance value chain double-layer GERT network through the characteristics of the moment mother function;
1) equivalent collaborative quality assurance value transfer allocation rate pij：
pij＝Wij(s)|s＝0
Wherein the node j is any reachable node of the node i;
2) equivalent synergistic quality-guaranteed value incremental mean E (x)ij):
Wherein the node j is any reachable node of the node i;
3) business function collaborative quality guarantee value increment mean value E (x)i)：
Quality-of-coordination value-guarantee increment parameter x from service node i to any adjacent service node j in service function layerijEqual and equal mean value E (x) of equivalent cooperative quality increment from source node to destination node in subordinate cooperative main layer of service node ii,ST) Namely:
xij＝xi＝E(xi,ST)
wherein S and T are a source node and a destination node in a cooperative body layer to which the service node i belongs;
E(xi)＝E(xij0T)
wherein x isij0TExpressing r direct paths from the service node i to the terminal node T, and dividing a value increment parameter x from the service node i to an adjacent downstream service node jijThe remaining value increment parameters are all zeroed.
The respective collaborative quality assurance values in step S301 are calculated as follows
The collaborative quality and guarantee value of the collaborative quality and guarantee value chain is as follows:
the value of the collaborative quality guarantee of a single business function is as follows:
the collaborative warranty value of a single collaborative activity is:
and u and v are two adjacent upstream and downstream nodes in the cooperative main layer to which the service function i belongs.
In the present invention, the specific steps of S302 are,
1) identification of key service nodes
Value-added reduction quantity eta of key service node alphaα：
ηα＝max{pSi(VST-Vi)E(Ci)}
Wherein p isSiThe method comprises the steps of transmitting distribution rate for equivalent cooperative quality guarantee value from a source node S to a node i in a service functional layer;
2) identification of key collaborative activities
Value added reduction eta of key cooperative activities beta with identified key service nodes alphaβ：
ηβ＝max{pSupuv(Vα-Vα,uv)E(Cuv)}
Wherein p isSuAnd (4) the equivalent collaborative quality guaranteed value transfer distribution rate from the source node S to the node u in the collaborative main layer under the key service node.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a method for optimizing a nuclear power construction collaborative quality assurance value chain of a double-layer GERT network, and provides a value chain modeling method for a practical nuclear power construction collaborative quality assurance system, which can effectively represent a hierarchical structure, an interactive relation and a value increment in the system, clearly reflect the relation between collaborative quality assurance activities and service functions, the value-added processes and the value transmission paths of the collaborative quality assurance activities and the service functions, disclose a value chain forming mechanism, assist a nuclear power owner, a general engineering contractor and a contractor to comprehensively master dynamic values and random change rules in the nuclear power construction collaborative quality assurance, and facilitate decision making.
According to the method for optimizing the nuclear power construction collaborative quality-guarantee value chain of the double-layer GERT network, the influence degree of each collaborative factor on the whole chain value is described by establishing the value evaluation index, key quality-guarantee business and key collaborative activities are identified layer by layer in the dynamic operation process of a multivariable and multi-loop multi-feedback complex system, and a continuously improved new method is provided for maximizing the benefit of the nuclear power construction collaborative quality-guarantee value chain and minimizing the collaborative cost.
Drawings
FIG. 1 is a schematic diagram of a nuclear power construction coordination quality and value chain business function layer GERT of an embodiment;
FIG. 2 is a schematic diagram of a nuclear power construction coordination quality guarantee value chain quality plan management coordination subject layer GERT of the embodiment;
FIG. 3 is a schematic diagram of a nuclear power construction collaborative quality and value chain daily inspection collaborative body layer GERT of the embodiment;
FIG. 4 is a schematic diagram of a nuclear power construction collaborative quality and guarantee value chain execution witness collaborative principal layer GERT of the embodiment;
FIG. 5 is a schematic diagram of a nuclear power construction coordination quality and guarantee value chain non-conformity management coordination body layer GERT of the embodiment;
FIG. 6 is a schematic diagram of a nuclear power construction collaborative quality assurance value chain quality assurance inspection collaborative body layer GERT of an embodiment;
FIG. 7 is a schematic diagram of a nuclear power construction collaborative quality assurance value chain quality assurance supervision collaborative body layer GERT of an embodiment;
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The invention is explained in detail by taking a specific nuclear power construction cooperative quality guarantee system as an example.
S1, establishing a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network; specifically, a nuclear power building collaborative quality assurance system is abstracted into a network structure, and 3 basic constituent elements of nodes, arrowlines and flow are determined. The method specifically comprises the following steps:
s101, decomposing the main body and the service function of the collaborative quality assurance, and determining the nuclear power construction collaborative quality assurance value chain double-layer GERT network node;
the invention divides the nuclear power construction collaborative quality assurance system into a business functional layer and a collaborative main body layer. The first layer is a service function layer taking the cooperative quality guarantee service as a node, and the second layer is a cooperative main body layer taking a cooperative quality guarantee main body as a node.
The service function layer is divided into a process supervision class and a system supervision class as a father layer, and respectively covers six service nodes of quality plan management, daily routing inspection, witness execution, non-conformity management, quality assurance inspection and quality assurance supervision; the cooperative subject layer is divided into quality assurance personnel and quality control personnel as sub-layers, and respectively covers team quality control (QC 1 for short), contractor quality control (QC 2 for short), engineering general contract quality control (QC 3 for short), contractor quality assurance (QA 1 for short) and engineering general contract quality assurance (QA 2 for short). QC1, QC2, QC3, QA1, and QA2 constitute all the cooperation subjects of the cooperation subject layer in this embodiment, and the cooperation subjects under different service nodes are constituted by some or all of these five cooperation subjects. In order to meet the requirement of nuclear power construction cooperative quality guarantee closed loop supervision and control and prevent cooperative quality guarantee value flow from escaping, each GERT network layer has a unique source node and a unique terminal node, but the two nodes can be virtual nodes.
S102, determining a double-layer GERT network arrow line of a nuclear power building collaborative quality and guarantee value chain; the network arrow line is a connection line which connects two network nodes and is represented by an arrow;
firstly, according to actual nuclear power building cooperative quality assurance activities, analyzing progressive, complementary and parallel business value-added relations or processes among nodes in each layer to build a nuclear power building cooperative quality assurance network system; then, converting progressive, complementary and progressive value-added relations in the nuclear power building collaborative quality assurance network system into serial, parallel or and parallel and AND logical relations to form a GAN network; and finally, in order to simplify the network value transfer process by using the equivalent topological characteristic of the signal flow diagram, converting all types of nodes in the GAN network into exclusive-OR nodes to generate a GERT network, representing the value transfer among all service nodes in the service function layer by using an arrow line, and representing the cooperative activities among all main body nodes in the cooperative main body layer.
The nuclear power construction collaborative quality assurance system business function layer network structure of the embodiment is shown in fig. 1. The collaborative main layer network structures corresponding to the six service nodes related to the service function layer are respectively shown in fig. 2-7.
S103, determining a nuclear power construction collaborative quality assurance value chain double-layer GERT network flow;
Uijrepresents a collaborative guaranteed value flow from node i to node j in any layer:
Uij＝(pij；xij(1),…,xij(n)) (1)
wherein p isijThe value transfer distribution rate from the node i to the node j when the value added by the node i is expressed, xij(1),…,xij(n) n parameters in the value increment transferred from node i to node j, i being 1,2, …, l; j is 1,2, …, m; n is more than or equal to 2.
The value increment X in the nuclear power construction collaborative quality assurance value chain is composed of two parameters: the cooperative quality guarantee output Y and the cooperative quality guarantee cost C. The collaborative quality assurance output Y represents the degree of conformity of the items or services in nuclear power construction with the specified quality requirements, and the collaborative quality assurance cost C represents the amount of resources consumed for supporting the development of the collaborative quality assurance activities.
S2, analyzing important parameters of the nuclear power building collaborative quality and guarantee value chain double-layer GERT network; the method specifically comprises the following steps:
s201, determining the value transfer distribution rate of a nuclear power building collaborative quality assurance value chain double-layer GERT network through a maximum entropy model; the maximum entropy criterion is a criterion for selecting the random variable statistical property to best meet objective conditions, and various constraint conditions can be utilized to infer the most reasonable distribution of events.
Establishing value transfer distribution rate p from node i to node j in each layerijMaximum entropy model:
introducing a constraint condition:
constructing a Lagrangian function:
is obtained by standing point condition
Obtaining:
pij＝eγ-1 (4)
bringing equation (4) into the constraint
The value transfer allocation rate of the node can be obtained.
The method comprises the steps of obtaining original data through various modes such as investigation interview, actual measurement and calculation, system derivation and the like, obtaining value transmission distribution rates of each service node and each main body node to the next adjacent node in the nuclear power building collaborative quality assurance value chain double-layer GERT network by utilizing the maximum entropy model, and carrying out standardized processing on the original data by utilizing a mathematical statistics method to obtain collaborative quality assurance output increment parameters and collaborative quality assurance cost increment parameters of each collaborative main body layer, wherein the collaborative quality assurance output increment parameters and the collaborative quality assurance cost increment parameters are shown in a table I and a table II.
Watch two
S202, solving an equivalent transfer function through a Messen formula of a signal flow graph;
in a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network, an upstream node i transmits a collaborative quality and guarantee value increment X to an adjacent downstream node jijObeying to a probability distribution f (x)ij) Its intalox Mij(s) is:
the equivalent transfer function is:
Wij(s)＝pijMij(s) (6)
w in certain layer of nuclear power construction cooperative quality and guarantee value chain double-layer GERT networkr(s) is the equivalent transfer function of the R-th direct path from node u to any reachable node v, R being 1,2, …, R; r is more than or equal to 1, Wk(Lh) The equivalent transfer coefficient of the kth ring in the h-order ring is the equivalent transfer function W from the node u to any reachable node v according to the Messen formula of the signal flow diagramuv(s)：
S203, solving important parameters of the collaborative quality assurance value chain through the characteristics of the moment mother function
1) Equivalent collaborative quality assurance value transfer allocation rate pij：
pij＝Wij(s)|s＝0 (8)
Wherein the node j is any reachable node of the node i; wij(s) is the equivalent transfer function from node i to node j, see equation (7).
2) Mean value of equivalent synergistic quality-guaranteed value increment E (x)ij):
Wherein the node j is any reachable node of the node i; wij(s) is the equivalent transfer function from node i to node j, see equation (7).
3) Business function collaborative quality guarantee value increment mean value E (x)i)：
Cooperation quality guarantee value increment parameter x from service node i to any adjacent service node j in service function layerijEqual and equal to the mean value of equivalent cooperative quality-guaranteed value increment from the source node to the destination node in the subordinate cooperative subject layer of the service node i, and the mean value is defined as a cooperative quality-guaranteed value increment parameter x of the service node iiNamely:
xi＝xij＝E(xi,ST) (10)
wherein S and T are a source node and a destination node in a cooperative main body layer to which the service node i belongs; x is the number ofi,STAnd the business node i belongs to the collaborative quality guaranteed value increment parameter of the collaborative main body layer.
Business function collaborative quality guarantee value increment mean value E (x)i)：
E(xi)＝E(xij0T) (11)
Wherein xij0TExpressing r direct paths from the service node i to the terminal node T, and dividing a value increment parameter x from the service node i to an adjacent downstream service node jijThe remaining value increment parameters are all zeroed.
In the invention, the increment parameter is the input of a formula, the increment parameter of the collaborative main body layer is introduced from the outside, the equivalent increment mean value of the corresponding collaborative main body layer can be calculated by a band-in formula, the equivalent increment mean value is used as the increment parameter of the business function layer, and the equivalent increment mean value of the business function layer can be calculated by the corresponding formula of the band-in business function layer. The increment parameter and the equivalent increment mean value both comprise a cost part and a yield part, and the algorithm is the same.
Inputting the data of the table I and the table II into the formulas to obtain the equivalent cooperative quality assurance value transfer distribution rate p from the source node to each service node in the service function layer0iCooperative quality assurance output increase of each service nodeQuantity parameter YiAnd a cost increment parameter CiAnd the mean value E (Y) of the collaborative quality assurance output increment of each service nodei) And the mean value of the cost increment E (C)i) And a collaborative quality assurance output increment mean value E (Y) of a business functional layer value chainST) And the mean value of cost increment E (C)ST) As shown in table three.
Watch III
S3, establishing a nuclear power construction collaborative quality assurance value chain evaluation index, and identifying a key object
S301 collaborative quality assurance value evaluation
In a double-layer nuclear power construction cooperative quality assurance value chain network, a cooperative quality assurance object of a service function layer is a service function, namely a service node; the collaborative quality assurance object of the collaborative body layer is a collaborative activity between bodies, namely, an arrow line between nodes of the bodies.
And defining the collaborative quality assurance value as the ratio of quality assurance output Y created by a collaborative quality assurance value chain or a collaborative quality assurance object in the collaborative quality assurance value chain to the total cost C for obtaining the output, so as to measure the capability of the collaborative quality assurance value chain or the collaborative quality assurance object in consuming unit resources to provide quality trust for the client.
The value of the business function layer and the quality and guarantee value chain is as follows:
wherein E (Y)ST) And E (C)ST) The calculation method is shown in formula (9) for the collaborative quality assurance output increment average value and the cost increment average value of the value chain respectively.
The value of a single service function of the service function layer is as follows:
whereinE(Yi) And E (C)i) The calculation method is shown in formula (10) for the collaborative quality assurance output increment average value and the cost increment average value of the service node i respectively.
The value of a single collaborative activity between the principals of the collaborative ontology layer is:
u and v are two adjacent upstream and downstream main body nodes in a cooperative main body layer to which the service node i belongs; e (Y)i,uv) And E (C)i,uv) The calculation method is shown in formula (9) for the collaborative quality assurance yield increment average value and the cost increment average value of the activities between the two subjects.
And inputting the data in the second table into the formulas (12) and (13) to obtain the value of each service node and the value of the service functional layer and the quality and guarantee value chain, as shown in the fourth table.
Watch four
Taking the execution witness service node as an example, inputting the data in table two into the above equations (8) and (14) to obtain the equivalent cooperative quality-guaranteed value transfer allocation rate from the source node to each subject in the subordinate cooperative subject layer of the service node and the cooperative quality-guaranteed value of the activity between the subjects, as shown in table five.
Watch five
S302 identification of key collaborative warranty objects
The value-added reduction eta is a variable for measuring the total value degree of the collaborative quality assurance in the constraint layer of the collaborative quality assurance object, and the collaborative quality assurance object with the maximum value-added reduction eta in the layer is the key collaborative quality assurance object. The invention aims to find out and optimize key cooperative activities under sub-layers, namely the cooperative activities with the largest negative influence (the most trailing leg) on the cooperative main body layer. And the optimization of the value chain is realized by a mode of shortening the plate.
1) Identification of critical business functions
Value-added reduction eta of key service function alphaα：
ηα＝max{pSi(VST-Vi)E(Ci)} (15)
Wherein p isSiFor the equivalent cooperative quality assurance value transfer allocation rate from the source node S to the service node i in the service function layer, see formula (8); vSTAnd ViThe value of the value chain and the service node i, respectively, see equations (12) and (13); e (C)i) See equation (11) for the mean value of the collaborative warranty cost increments for service node i.
And (5) inputting the data in the third table and the fourth table into the formula (15) to obtain the value-added constraint eta of each service function, wherein the execution witnesses are key service functions, and the value-added constraint eta is shown in the sixth table.
Watch six
2) Identification of key collaborative activities
Value added reduction eta of key cooperative activities beta with identified key business functions alphaβ：
ηβ＝max{pSupuv(Vα-Vα,uv)E(Cα,uv)} (16)
Wherein p isSuSource node in collaborative main layer for subordinate key business functionThe equivalent collaborative quality assurance value transfer allocation rate from the point S to the node u is shown in a formula (8); vαAnd Vα,uvThe values of any cooperative activities in the service node α and its subordinate cooperative subject layer are respectively, see formulas (13) and (14); e (C)α,uv) See equation (9) for the mean value of the cost increment of the collaborative activity.
And inputting the data in the second table and the fifth table into the formula (16) to obtain the value-added reduction eta of each cooperative activity under the witness-performing service node, wherein the QC3 is the key cooperative activity under the witness-performing service, and is shown in the seventh table.
Watch seven
S4, the identified key collaborative objects are optimized, and therefore optimization of the nuclear power building collaborative quality and guarantee value chain is achieved.
S5, based on the optimized nuclear power construction collaborative quality and guarantee value chain, repeating the steps S2-S4 to obtain the optimized nuclear power construction collaborative quality and guarantee value chain. And (4) theoretically, continuously and circularly optimizing until the times of repeating the steps S2-S4 reach the set times or the nuclear power construction cooperative quality guarantee value chain reaches the set requirement.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (6)
1. A nuclear power construction collaborative quality and guarantee value chain optimization method based on a double-layer GERT network is characterized by comprising the following steps: the method comprises the following specific steps:
s1, establishing a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network; abstracting a nuclear power building collaborative quality assurance system into a network structure, wherein the network structure consists of three basic elements, namely a network node, a network arrow line and a network flow;
when a nuclear power construction collaborative quality assurance value chain double-layer GERT network is established, a nuclear power construction collaborative quality assurance system is divided into a service function layer and a collaborative main body layer, so that the double-layer GERT network is formed; the service function layer as a parent layer comprises different service nodes; a cooperative main body layer is arranged below each service node; the cooperation main body layer is used as a sublayer below each service node and consists of all cooperation main bodies participating in the service node; the connection between the cooperative bodies constitutes cooperative activity;
s2, analyzing to obtain important parameters of the nuclear power construction collaborative quality and guarantee value chain double-layer GERT network; the important parameters comprise important parameters of a service function layer and important parameters of a collaboration main body layer, and the important parameters of the service function layer comprise an equivalent value transmission distribution rate from a source node of the layer to each service node, a yield increment mean value and a cost increment mean value of each service node and a value chain; important parameters of the collaborative main layer comprise equivalent value transfer allocation rate from a source node to a main node of the layer, a yield increment average value and a cost increment average value of collaborative activities;
s3, establishing a nuclear power construction collaborative quality and guarantee value chain evaluation index, and identifying key collaborative activities;
s301, evaluating the quality guarantee value of the cooperation; the collaborative quality guarantee value is the ratio of the average value of the output increment obtained by S2 to the average value of the corresponding cost increment;
s302, identifying key cooperative activities; calculating a value-added reduction eta of each service node of the service function layer based on the collaborative quality assurance value obtained in the step S301, wherein the service node with the maximum value-added reduction eta is a key service node alpha; then calculating the value-added reduction eta of each cooperative activity of the cooperative main layer under the key service node, wherein the cooperative activity with the maximum value-added reduction eta is the key cooperative activity beta;
and S4, optimizing the key cooperative activities identified in S3, thereby realizing the optimization of the nuclear power construction cooperative quality and guarantee value chain.
2. The method for optimizing the collaborative quality-guaranteed value chain for nuclear power construction based on the double-layer GERT network of claim 1, wherein the method comprises the following steps: and S5, repeating the steps S2-S4 based on the optimized nuclear power construction synergy quality and guarantee value chain to obtain the re-optimized nuclear power construction synergy quality and guarantee value chain until the steps S2-S4 are repeated for the set times or the nuclear power construction synergy quality and guarantee value chain meets the set requirements.
3. The method for optimizing the nuclear power building collaborative quality-guaranteed value chain based on the double-layer GERT network as claimed in claim 1, wherein the method comprises the following steps: wherein the specific steps of the step S1 are,
s101, decomposing the main body and the service function of the collaborative quality assurance, and determining the nuclear power construction collaborative quality assurance value chain double-layer GERT network node;
s102, determining a double-layer GERT network arrow line of a nuclear power building collaborative quality and guarantee value chain; the network arrow line is a connection line which connects two network nodes and is represented by an arrow;
s103, determining double-layer GERT network flow of a nuclear power construction collaborative quality assurance value chain, wherein the network flow refers to value increment transmitted from one network node to the next network node, and the value increment comprises two parameters of collaborative quality assurance output Y and collaborative quality assurance cost C.
4. The method for optimizing the collaborative quality-guaranteed value chain for nuclear power construction based on the double-layer GERT network of claim 1, wherein the method comprises the following steps: wherein the specific steps of the step S2 are,
s201, determining value transfer distribution rate p of double-layer GERT network nodes of nuclear power construction cooperative quality-guaranteed value chainij；
Establishing value transfer distribution rate p from node i to node j in each layerijMaximum entropy model:
introducing a constraint condition:
constructing a Lagrangian function:
is obtained by standing point condition
Obtaining:
pij＝eβ-1
bringing the above into constraints
The value transfer allocation rate of the nodes can be obtained;
s202, solving an equivalent transfer function through a Messen formula of a signal flow graph;
in a nuclear power construction collaborative quality and guarantee value chain double-layer GERT network, an upstream node i transmits a collaborative quality and guarantee value increment X to an adjacent downstream node jijObey to a probability distribution f (x)ij) Its intalox Mij(s) is:
the equivalent transfer function is:
Wij(s)＝pijMij(s)
w in nuclear power construction cooperative quality and guarantee value chain double-layer GERT networkr(s) is the equivalent transfer function of the r-th direct path from node u to node v, r is 1,2, …, n; r is more than or equal to 1, Wk(Lh) The equivalent transfer coefficient of the kth ring in the h-order ring is the equivalent transfer function W from the node u to any reachable node v according to the Messen formula of the signal flow graphuv(s)
S203, solving important parameters of the collaborative quality assurance value chain double-layer GERT network through the characteristics of the moment mother function;
1) equivalent collaborative quality assurance value transfer scoreProportion pij：
pij＝Wij(s)|s＝0
Wherein the node j is any reachable node of the node i;
2) equivalent coprime value-preserving increment mean E (x)ij):
Wherein the node j is any reachable node of the node i;
3) business function collaborative quality guarantee value increment mean value E (x)i)：
The cooperative quality guarantee value increment parameters xij of the service node i to any adjacent service node j in the service function layer are equal and are equivalent cooperative quality guarantee value increment mean values E (x) from the source node to the destination node in the subordinate cooperative main body layer of the service node ii,ST) Namely:
xij＝xi＝E(xi,ST)
wherein S and T are a source node and a destination node in a cooperative main body layer to which the service node i belongs;
E(xi)＝E(xij0T)
wherein xij0TExpressing r direct paths from the service node i to the terminal node T, and dividing a value increment parameter x from the service node i to an adjacent downstream service node jijThe remaining value increment parameters are all zeroed.
5. The method for optimizing the collaborative quality-guaranteed value chain for nuclear power construction based on the double-layer GERT network as claimed in claim 4, wherein: the respective collaborative quality guarantee values in S301 are calculated as follows
The collaborative quality and guarantee value of the collaborative quality and guarantee value chain is as follows:
the value of the collaborative quality guarantee of a single business function is as follows:
the collaborative warranty value of a single collaborative activity is:
and u and v are two adjacent upstream and downstream nodes in the cooperative main layer to which the service function i belongs.
6. The method for optimizing the collaborative quality-guaranteed value chain for nuclear power construction based on the double-layer GERT network of claim 5, wherein: wherein the specific steps of the step S302 are,
1) identification of key service nodes
Value-added reduction quantity eta of key service node alphaα：
ηα＝max{pSi(VST-Vi)E(Ci)}
Wherein p isSiThe method comprises the steps of transmitting distribution rate for equivalent cooperative quality guarantee value from a source node S to a node i in a service functional layer;
2) identification of key collaborative activities
Value added reduction eta of key cooperative activities beta with identified key service nodes alphaβ：
ηβ＝max{pSupuv(Vα-Vα,uv)E(Cuv)}
Wherein p isSuAnd transmitting the distribution rate of the equivalent cooperative quality guaranteed value from the source node S to the node u in the cooperative main layer under the key service node.
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