CN114638418A - Optimization method of nuclear power construction collaborative quality assurance value chain based on double-layer GERT network - Google Patents

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

Optimization method of nuclear power construction collaborative quality assurance value chain based on double-layer GERT network

technical field

The invention belongs to the technical field of nuclear power equipment construction quality optimization, and in particular relates to a nuclear power construction collaborative quality assurance value chain optimization method based on a double-layer graphic review network (ie, a GERT network).

Background technique

In order to ensure the quality of nuclear power construction, the Nuclear Safety Law requires that the nuclear safety legal responsibilities and obligations of nuclear-related entities are not transferred with the entrustment relationship, nor does it reduce the legal responsibilities and obligations of the contractor, and the personnel and departments responsible for implementing and verifying quality assurance must Possess sufficient power and organizational independence. In order to meet the above requirements, nuclear power construction has formed a collaborative quality assurance system that integrates the quality assurance of the general contractor, the quality assurance of the contractor, the quality control of the general contractor, the quality control of the contractor, and the quality control of the team, and the quality assurance activities are jointly promoted through multi-party cooperation. However, the development of collaborative quality assurance activities for nuclear power construction requires cross-enterprise process docking and cross-platform information transfer, resulting in difficult coordination of some activities, high coordination costs, and low coordination value, which weakens the market advantage of nuclear power bidding online.

At present, the research on the value of collaborative quality assurance of nuclear power construction is mainly divided into two aspects. One is to regulate the behavior of the main body of the collaborative quality assurance business and the interaction between the subjects by designing contract terms, rules and regulations, and rewards and punishments, so as to control the collaborative value to a certain level. The second is to analyze and evaluate a collaborative quality assurance business with the help of new and old quality management tools to gradually eliminate redundant activities and enhance collaborative value; however, the former aims to reduce the fluctuation of collaborative quality assurance value and lacks a means of continuous improvement. Those who are deeply involved in specific business, pursue local value optimization while ignoring the overall value, and the improvement efficiency is not high. Therefore, how to characterize the nuclear power construction collaborative quality assurance value chain, evaluate the overall and local value, identify the collaborative pain points, and then make targeted improvements to continuously improve the value of the entire chain is an urgent problem to be solved.

SUMMARY OF THE INVENTION

In view of the above deficiencies of the prior art, the technical problem to be solved by the present invention is to provide a method for optimizing the value chain of nuclear power construction collaborative quality assurance value chain of double-layer GERT network. parameters, establish the evaluation index of the collaborative quality assurance value chain of nuclear power construction, analyze the relationship between the value output and resource consumption of collaborative quality assurance activities and the transmission process of the two in the value chain, and identify the key business functions and key collaborative activities that restrict the benefits of the collaborative quality assurance value chain , to provide a feasible new method to achieve continuous improvement, balanced development and overall efficiency increase of the collaborative quality assurance value chain, and weaken the barrel effect that may exist due to the limitation of traditional methods within the business.

In order to solve the above-mentioned technical problems, the present invention adopts the following technical solutions:

The optimization method of nuclear power construction collaborative quality assurance value chain based on double-layer GERT network, the specific steps are as follows:

S1. Establish a double-layer GERT network of the nuclear power construction collaborative quality assurance value chain; abstract the nuclear power construction collaborative quality assurance system into a network structure, which consists of three basic elements: network nodes, network arrows and network flows;

When establishing a double-layer GERT network in the nuclear power construction collaborative quality assurance value chain, the nuclear power construction collaborative quality assurance system is divided into a business function layer and a collaborative main body layer, thus forming a two-layer GERT network; the business function layer as the parent layer includes different business nodes; each A collaborative subject layer is set under the business node; the collaborative subject layer, as a sub-layer under each business node, is composed of all collaborative subjects participating in the business node; the connection between the collaborative subjects constitutes collaborative activities;

S2. The important parameters of the double-layer GERT network of the nuclear power construction collaborative quality assurance value chain are obtained by analysis; the important parameters include the important parameters of the business function layer and the important parameters of the collaborative body layer, and the important parameters of the business function layer include the source node of this layer to each business node. The distribution rate of equivalent value transfer, the average output increment and the average cost increment of each business node and value chain; the important parameters of the collaborative subject layer include the equivalent value transfer distribution rate from the source node to the main node of this layer, the amount of collaborative activities. Average output increment and average cost increment;

S3. Build the evaluation index of the nuclear power construction collaborative quality assurance value chain, and identify key collaborative activities;

S301. Evaluation of collaborative quality assurance value; the collaborative quality assurance value is the ratio of the mean value of output increment obtained by S2 and the mean value of corresponding cost increment;

S302, identification of key collaborative activities; based on the collaborative quality assurance value obtained in step S301, calculate the value-added restriction amount η of each business node in the business function layer, and the business node with the largest value-added restriction amount η is the key business node α; then calculate the collaboration under the key business node The value-added constraint η of each collaborative activity in the main layer, the collaborative activity with the largest value-added constraint η is the key collaborative activity β;

S4. Optimize the key collaborative activities identified in S3, so as to realize the optimization of the nuclear power construction collaborative quality assurance value chain.

Further, step S5 is also included. Based on the optimized nuclear power construction collaborative quality assurance value chain, steps S2-S4 are repeated to obtain the re-optimized nuclear power construction collaborative quality assurance value chain, until steps S2-S4 are repeated until the set number of times or the nuclear power construction is reached. The collaborative quality assurance value chain reaches the set requirements.

The specific steps of S1 are:

S101. Decompose the main body and business function of the collaborative quality assurance, and determine the double-layer GERT network node of the nuclear power construction collaborative quality assurance value chain;

S102. Determine the double-layer GERT network arrow line of the nuclear power construction collaborative quality assurance value chain; the network arrow line is the connection line with arrows indicating the direction connecting the two network nodes;

S103. Determine the double-layer GERT network flow of the nuclear power construction collaborative quality assurance value chain. The network flow refers to the value increment transmitted from one network node to the next network node. The value increment is composed of two parameters, the collaborative quality assurance output Y and the collaborative quality assurance cost C. .

The specific steps of S2 are:

S201, determining the value transfer distribution rate p _ij of the double-layer GERT network nodes of the nuclear power construction collaborative quality assurance value chain;

Establish the maximum entropy model of the value transfer distribution rate p _ij from node i to node j in each layer:

Introduce constraints:

Construct the Lagrangian function:

得：From the stagnation condition

have to:

p _ij =e ^β-1

即可得出节点的价值传递分配率；Put the above formula into the constraints

The value transfer distribution rate of the node can be obtained;

S202. Solve the equivalent transfer function through the Mersen formula of the signal flow diagram;

In the double-layer GERT network of nuclear power construction collaborative quality assurance value chain, the collaborative quality assurance value increment X _ij transmitted from the upstream node i to the adjacent downstream node j obeys the probability distribution f(x _ij ), and its moment generating function M _ij (s) is:

The equivalent transfer function is:

W _ij (s)=p _ij M _ij (s)

In the double-layer GERT network of nuclear power construction collaborative quality assurance value chain, Wr(s) is the equivalent transfer function of the rth direct path from node u to node v, r=1,2,...,n; R≥1,W _k (L _h ) is the equivalent transfer coefficient of the kth ring in the h-order ring, then according to the signal flow graph Mersen formula, the equivalent transfer function W _uv (s) from node u to any reachable node v

S203. Solving the important parameters of the double-layer GERT network in the collaborative quality assurance value chain through the moment generating function characteristic;

1) Equivalent collaborative quality assurance value transfer distribution rate p _ij :

p _ij =W _ij (s)| _s=0

where node j is any reachable node of node i;

2) The mean value of the equivalent collaborative quality guarantee value increment E(x _ij ):

where node j is any reachable node of node i;

3) The mean value E(x _i ) of the collaborative quality assurance value increment of business functions:

The incremental parameter x _ij of the collaborative warranty value from the business node i to any adjacent business node j in the business function layer is equal to the mean value E ( _xi,ST ), that is:

x _ij = _xi =E( _xi,ST)

Among them, S and T are the source node and the end point in the collaborative body layer to which the service node i belongs;

E(x _i )=E(x _ij0T )

Among them, x _ij0T represents the r direct paths from service node i to terminal node T. Except for the value increment parameter x _ij from service node i to adjacent downstream service node j, the value increment parameters are all returned to zero.

In step S301, each collaborative warranty value is calculated as follows

The collaborative quality assurance value of the collaborative quality assurance value chain is:

The collaborative warranty value of a single business function is:

The collaborative quality assurance value of a single collaborative activity is:

Among them, u and v are two adjacent upstream and downstream nodes in the collaborative body layer to which the business function i belongs.

The specific steps of S302 in the present invention are:

1) Identification of key business nodes

Value-added constraint η _{α of key business node α} :

η _α =max{p _Si (V _ST -V _i )E(C _i )}

where p _Si is the distribution rate of equivalent collaborative quality assurance value transfer from source node S to node i in the business function layer;

2) Identification of key collaborative activities

In the case that the key business node α has been identified, the value-added constraint η _β of the key collaborative activity β is:

η _β =max{p _Su p _uv (V _α -V _α,uv )E(C _uv )}

where p _Su is the distribution rate of the equivalent collaborative quality assurance value transfer from the source node S to the node u in the collaborative body layer under the key business node.

Compared with the prior art, the present invention has the following beneficial effects:

The double-layer GERT network nuclear power construction collaborative quality assurance value chain optimization method of the present invention proposes a value chain modeling method for a real nuclear power construction collaborative quality assurance system, which can effectively characterize the internal hierarchical structure, interaction relationship and value increase of the system. It can clearly reflect the relationship between collaborative quality assurance activities and business functions, the value-added process and value transfer path of the two, reveal the formation mechanism of the value chain, and assist nuclear power owners, project general contractors and contractors to fully grasp the internal dynamic value of nuclear power construction collaborative quality assurance And random change law, which is conducive to decision-making.

The double-layer GERT network nuclear power construction collaborative quality assurance value chain optimization method of the present invention depicts the influence degree of each collaborative factor on the value of the whole chain by establishing a value evaluation index, and in the dynamic operation process of the multi-variable and multi-loop complex system with multiple feedbacks, step by step Identifying key quality assurance business and key synergistic activities at different levels provides a new method for continuous improvement for maximizing the benefits of the nuclear power construction synergistic quality assurance value chain and minimizing the cost of synergy.

Description of drawings

1 is a schematic diagram of the GERT of the nuclear power construction collaborative quality assurance value chain business function layer of a specific embodiment;

FIG. 2 is a schematic diagram of the GERT of the collaborative main body layer of nuclear power construction collaborative quality assurance value chain quality plan management according to a specific embodiment;

FIG. 3 is a schematic diagram of the GERT of the collaborative main body layer of the daily patrol inspection of the nuclear power construction collaborative quality assurance value chain according to a specific embodiment;

4 is a schematic diagram of the GERT of the nuclear power construction collaborative quality assurance value chain execution witness collaborative main body layer according to a specific embodiment;

FIG. 5 is a schematic diagram of the GERT of the non-conforming item management collaborative main body layer of the nuclear power construction collaborative quality assurance value chain according to a specific embodiment;

FIG. 6 is a schematic diagram of the GERT of the nuclear power construction collaborative quality assurance value chain quality assurance inspection collaborative main body layer according to a specific embodiment;

FIG. 7 is a schematic diagram of the GERT of the quality assurance supervision and coordination main body layer of the nuclear power construction collaborative quality assurance value chain according to a specific embodiment;

Detailed ways

The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

Taking a specific nuclear power construction collaborative quality assurance system as an example, the present invention will be described in detail.

S1. Establish a double-layer GERT network of the nuclear power construction collaborative quality assurance value chain; specifically, abstract the nuclear power construction collaborative quality assurance system into a network structure, and determine the three basic elements of nodes, arrows and flows. Also includes:

S101. Decompose the main body and business function of the collaborative quality assurance, and determine the double-layer GERT network node of the nuclear power construction collaborative quality assurance value chain;

The present invention divides the nuclear power construction collaborative quality assurance system into a business function layer and a collaborative main body layer. The first layer is the business function layer with the collaborative quality assurance business as the node, and the second layer is the collaborative main body layer with the collaborative quality assurance subject as the node.

The business function layer, as the parent layer, is divided into process supervision and system supervision, covering six business nodes: quality plan management, daily inspection, witness execution, non-conformity management, quality assurance inspection, and quality assurance supervision; The layers are divided into quality assurance personnel and quality control personnel, covering team quality control (referred to as QC1), contractor quality control (referred to as QC2), engineering general contracting quality control (referred to as QC3) and contractor quality assurance (referred to as QA1), engineering General Contracting Quality Assurance (referred to as QA2). QC1, QC2, QC3, QA1, and QA2 constitute all the collaborative subjects of the collaborative subject layer in this embodiment, and the collaborative subjects belonging to different service nodes are composed of some or all of the five collaborative subjects. In order to meet the requirements of closed-loop supervision and control of collaborative quality assurance for nuclear power construction and prevent the value flow of collaborative quality assurance from escaping, each layer of GERT network has a unique source node and a unique end node, but the two can be virtual nodes.

S102. Determine the double-layer GERT network arrow line of the nuclear power construction collaborative quality assurance value chain; the network arrow line is the connection line with arrows indicating the direction connecting the two network nodes;

Firstly, based on the actual nuclear power construction collaborative quality assurance activities, analyze the progressive, complementary, and concurrent business value-added relationships or processes between nodes in each layer to build a nuclear power construction collaborative quality assurance network system; The value-added relationship is transformed into series, parallel "OR" and parallel "AND" logical relationships to form a GAN network; finally, in order to simplify the network value transfer process by using the equivalent topology characteristics of the signal flow graph, all types of nodes in the GAN network are converted. A GERT network is generated for the XOR nodes, and arrows are used to represent the value transfer between the business nodes in the business function layer, and to represent the collaborative activities between the main nodes in the collaborative main layer.

The network structure of the business function layer of the nuclear power construction collaborative quality assurance system in this embodiment is shown in FIG. 1 . Figure 2-7 shows the network structure of the collaboration main layer corresponding to the six service nodes involved in the service function layer.

S103. Determine the double-layer GERT network flow of the nuclear power construction collaborative quality assurance value chain;

U _ij represents the collaborative quality assurance value stream from node i to node j in any layer:

U _ij = (p _ij ; x _ij (1),...,x _ij (n)) (1)

Among them, p _ij represents the distribution rate of value transfer from node i to node j when i realizes value-added, x _ij (1),..., x _ij (n) respectively represent the nth type of value increment transferred from node i to node j Parameters, i=1,2,...,l; j=1,2,...,m; n≥2.

The value increment X in the collaborative quality assurance value chain of nuclear power construction consists of two parameters: the collaborative quality assurance output Y and the collaborative quality assurance cost C. The collaborative quality assurance output Y represents the degree to which the collaborative quality assurance activities can prove that the items or services in the nuclear power construction meet the specified quality requirements, and the collaborative quality assurance cost C represents the amount of resources expended to support the development of the collaborative quality assurance activities.

S2. Analyze the important parameters of the double-layer GERT network of the nuclear power construction collaborative quality assurance value chain; specifically include:

S201. Determine the value transfer distribution rate of the double-layer GERT network in the nuclear power construction collaborative quality assurance value chain through the maximum entropy model; the maximum entropy criterion is a criterion for selecting the statistical characteristics of random variables that are most in line with the objective situation, and various constraints can be used to infer events the most reasonable distribution.

Establish the maximum entropy model of the value transfer distribution rate p _ij from node i to node j in each layer:

Introduce constraints:

Construct the Lagrangian function:

得：From the stagnation condition

have to:

p _ij =eγ ^-1 (4)

即可得出节点的价值传递分配率。Bring Equation (4) into the constraints

The value transfer distribution rate of the node can be obtained.

Through research and interviews, actual measurement, system export and other methods to obtain original data, the above-mentioned maximum entropy model is used to obtain the relationship between each business node and each main node in the double-layer GERT network of the nuclear power construction collaborative quality assurance value chain to the next adjacent node. For the value transfer distribution rate, the original data is standardized by the method of mathematical statistics, and the incremental parameters of the collaborative quality assurance output and the incremental parameters of the collaborative quality assurance cost of each collaborative subject layer are obtained, as shown in Tables 1 and 2.

Table I

Table II

S202. Solve the equivalent transfer function through the Mersen formula of the signal flow diagram;

In the double-layer GERT network of nuclear power construction collaborative quality assurance value chain, the collaborative quality assurance value increment X _ij transmitted from the upstream node i to the adjacent downstream node j obeys the probability distribution f(x _ij ), and its moment generating function M _ij (s) is:

The equivalent transfer function is:

W _ij (s)=p _ij M _ij (s) (6)

In a certain layer of the double-layer GERT network of the nuclear power construction collaborative quality assurance value chain, W _r (s) is the equivalent transfer function of the r-th direct path from node u to any reachable node v, r=1,2,...,R; R≥1, W _k (L _h ) is the equivalent transfer coefficient of the kth ring in the h-order ring, then the equivalent transfer function W _uv ( s):

S203. Solve the important parameters of the collaborative quality assurance value chain through the moment generating function characteristics

1) Equivalent collaborative quality assurance value transfer distribution rate p _ij :

p _ij =W _ij (s)| _s=0 (8)

where node j is any reachable node of node i; W _ij (s) is the equivalent transfer function from node i to node j, see formula (7).

2) The mean value E(x _ij ) of the equivalent collaborative warranty value increment:

where node j is any reachable node of node i; W _ij (s) is the equivalent transfer function from node i to node j, see formula (7).

3) The mean value E(x _i ) of the collaborative quality assurance value increment of business functions:

The incremental parameters x _ij of the collaborative quality assurance value from the business node i to any adjacent business node j in the business function layer are equal and are the mean value increments of the equivalent collaborative quality assurance value from the source node to the termination point in the collaborative main layer subordinate to the business node i, It is defined as the collaborative warranty value increment parameter x _i of the business node i, namely:

x _i =x _ij =E( _xi,ST ) (10)

Among them, S and T are the source nodes and endpoints in the collaborative body layer to which the business node i belongs; _{xi, ST} are the incremental parameters of the collaborative quality assurance value of the collaborative body layer to which the business node i belongs.

The mean value E(x _i ) of the collaborative quality assurance value increment of business functions:

E(x _i )=E(x _ij0T ) (11)

Among them, x _ij0T represents the r direct paths from service node i to terminal node T. Except for the value increment parameter x _ij from service node i to adjacent downstream service node j, the value increment parameters are all returned to zero.

In the present invention, the incremental parameter is the input of the formula, the incremental parameter of the collaborative main layer is introduced from the outside, and the equivalent incremental average value of the corresponding collaborative main layer can be calculated by bringing in the formula, and this equivalent incremental average value is used as the business function layer. The incremental parameter of , and the corresponding formula brought into the business function layer can calculate the equivalent incremental average value of the business function layer. Both the incremental parameter and the equivalent incremental mean include cost and output, and the algorithms are the same.

Input the data in Table 1 and Table 2 into the above formulas to obtain the equivalent collaborative quality assurance value transfer distribution rate p _0i from the source node to each business node in the business function layer, and the collaborative quality assurance output increment parameter Y _i of each business node and The cost increment parameter C _i , the incremental mean value E(Y _i ) of the collaborative quality assurance output of each business node, the mean value of the incremental cost E(C _i ), and the mean value of collaborative quality assurance output increment E(Y ) of the value chain of the business function layer _ST ) and the mean cost increment E(C _ST ), as shown in Table 3.

Table 3

S3 Constructing the evaluation index of nuclear power construction collaborative quality assurance value chain, identifying key objects

S301 Collaborative Quality Assurance Value Evaluation

In the double-layer nuclear power construction collaborative quality assurance value chain network, the collaborative quality assurance object of the business function layer is the business function, that is, the business node; the collaborative quality assurance object of the collaborative subject layer is the collaborative activity between the subjects, that is, the arrow line between the subject nodes.

The collaborative quality assurance value is defined as the ratio of the quality assurance output Y created by the collaborative quality assurance value chain or one of the collaborative quality assurance objects to the total cost C of obtaining the output, so as to measure the consumption of the collaborative quality assurance value chain or one of the collaborative quality assurance objects. The ability of unit resources to provide customers with quality trust.

The value of the collaborative quality assurance value chain at the business function layer is:

Among them, E(Y _ST ) and E(C _ST ) are the mean value increment of collaborative quality assurance output and the mean value of incremental cost of the value chain, respectively. See formula (9) for the calculation method.

The value of a single business function in the business function layer is:

Among them, E(Y _i ) and E(C _i ) are the incremental mean value of collaborative quality assurance output and the mean value of incremental cost of business node i, respectively. See formula (10) for the calculation method.

The value of a single collaborative activity between the main bodies of the collaborative body layer is:

Among them, u and v are the two adjacent upstream and downstream main nodes in the collaborative main body layer to which the business node i belongs; E(Y _i,uv ) and E(C _i,uv ) are the mean increments of the collaborative quality assurance output of the activities between the two main bodies, respectively. and the mean value of cost increment, see formula (9) for the calculation method.

Enter the data in Table 2 into the above formulas (12) and (13) to obtain the value of each business node and the value of the collaborative quality assurance value chain of the business function layer, as shown in Table 4.

Table 4

Taking the execution witness business node as an example, input the data in Table 2 into the above formulas (8) and (14) to obtain the equivalent collaborative quality assurance value transfer distribution rate from the source node to each subject in the collaborative subject layer subordinate to the service node and each subject. The synergistic quality assurance value of inter-activity activities is shown in Table 5.

Table 5

S302 Identification of key collaborative quality assurance objects

The value-added constraint η is a variable that measures the total value of the collaborative quality assurance in the control layer of the collaborative quality assurance object, and the collaborative quality assurance object with the largest value-added constraint η in the layer is the key collaborative quality assurance object. The purpose of the present invention is to find out and optimize the key collaborative activities under the sub-layer, that is, the collaborative activities that have the greatest negative impact on the collaborative main layer (the most laggard), because the collaborative activities are optimized, the collaborative main layer where they are located will naturally Once optimized, the corresponding upper-level business function nodes are naturally optimized. When a business function node is optimized, the value chain of the entire business function layer is optimized. The optimization of the value chain is achieved by making up for shortcomings.

1) Identification of key business functions

Value-added constraint η _{α of key business function α} :

η _α =max{p _Si (V _ST -V _i )E(C _i )} (15)

where p _Si is the distribution rate of equivalent collaborative quality assurance value transfer from source node S to business node i in the business function layer, see formula (8); V _ST and V _i are the value of value chain and business node i respectively, see formula ( 12) and (13); E(C _i ) is the mean value of the incremental cost of collaborative quality assurance of service node i, see formula (11).

Input the data in Table 3 and Table 4 into the above formula (15) to obtain the value-added constraint η of each business function, in which the execution witness is the key business function, as shown in Table 6.

Table 6

2) Identification of key collaborative activities

In the case that the key business function α has been identified, the value-added constraint η _β of the key collaborative activity β is:

η _β =max{p _Su p _uv (V _α -V _α,uv )E(C _α,uv )} (16)

where p _Su is the distribution rate of equivalent collaborative quality assurance value transfer from source node S to node u in the subordinate collaborative body layer of key business functions, see formula (8); V _α and V _{α, uv} are business node α and its subordinate collaboration, respectively For the value of any collaborative activity in the subject layer, see equations (13) and (14); E(C _α,uv ) is the average cost increment of the aforementioned collaborative activities, see equation (9).

Input the data in Table 2 and Table 5 into the above formula (16) to obtain the value-added constraint η of each collaborative activity under the witness execution service node, where QC3 is the key collaborative activity under the witness execution service, as shown in Table 7.

Table 7

S4 optimizes the identified key collaborative objects, thereby realizing the optimization of the nuclear power construction collaborative quality assurance value chain.

S5 is based on the optimized nuclear power construction collaborative quality assurance value chain, and steps S2-S4 are repeated to obtain the re-optimized nuclear power construction collaborative quality assurance value chain. In theory, it can be continuously optimized in a loop until steps S2-S4 are repeated for the set number of times or the nuclear power construction collaborative quality assurance value chain meets the set requirements.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions without departing from the spirit and scope of the technical solutions of the present invention should be included in the scope of 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 chain_ij；

Establishing value transfer distribution rate p from node i to node j in each layer_ijMaximum entropy model:

introducing a constraint condition:

constructing a Lagrangian function:

is obtained by standing point condition

Obtaining:

p_ij＝e^β-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 j_ijObey to a probability distribution f (x)_ij) Its intalox M_ij(s) is:

the equivalent transfer function is:

W_ij(s)＝p_ijM_ij(s)

w in nuclear power construction cooperative quality and guarantee value chain double-layer GERT network_r(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, W_k(L_h) 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 graph_uv(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 p_ij：

p_ij＝W_ij(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 i_i,ST) Namely:

x_ij＝x_i＝E(x_i,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(x_i)＝E(x_ij0T)

wherein x_ij0TExpressing 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 j_ijThe 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 alpha_α：

η_α＝max{p_Si(V_ST-V_i)E(C_i)}

Wherein p is_SiThe 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 alpha_β：

η_β＝max{p_Sup_uv(V_α-V_α,uv)E(C_uv)}

Wherein p is_SuAnd 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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