CN112734300B - Method and device for constructing general product system model and computer equipment - Google Patents
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Abstract
The application relates to a method, a device and computer equipment for constructing a general product system model. The method comprises the following steps: and constructing a hierarchical view relation model of the general product, establishing a hierarchical view relation table according to the hierarchical view relation framework, establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and the constraint conditions to obtain the optimal hierarchy and view structure of the hierarchical view relation model. The method can solve the problem of modeling of a general product system.
Description
Technical Field
The application relates to the technical field of system modeling in the field of product design, in particular to a method, a device and computer equipment for constructing a general product system model.
Background
An architecture refers to an organic whole with specific functions formed by a plurality of related things or systems of which certain consciousness are connected with each other. The system is a scientific term, which generally refers to an object formed by combining objects within a certain range or similar objects according to a certain order and internal connection, and is a system formed by different systems. Product architecture generally refers to a product collection organized with a series of internal connections. An excellent product system can provide a powerful technical role for top-level design, so that the automatic construction of the hierarchically classified product system model has important significance.
The automatic construction of the hierarchical classification system model needs to fully consider various elements among products in an organization framework, and through analysis and summarization, elements in two dimensions of a hierarchy and a view are mainly considered when the hierarchical classification product system is designed. The hierarchy of a product hierarchy refers to the level constraints set for a series of products in the product hierarchy to accommodate a certain level of demand. It generally contains the following attributes: hierarchy, multilevel, extensibility.
Products can be classified into different kinds according to different classification standards, the classification standards have large differences and are continuously changed, so that the view factor needs to be considered to describe the different kinds of products. The product view refers to the corresponding product category set in the product system in order to conform to a certain department or class of business in the organization architecture. It has the following properties: multiple kinds, unification, cross-layering.
The invention patent [1] provides a Monte Carlo simulation analysis system and method based on a system architecture model, which converts the simulation analysis system into an intelligent executable system data model through extracting and solidifying the fight rules, tactical behaviors and system operation, and provides a theoretical basis for the top-level demonstration of a fight unit. The invention patent [2] provides a method for constructing a model of a household service process management system. The method is used for constructing a replicable home service process management system model in order to overcome the defects of the existing home-based aged and the technical problem that the application of the Internet does not form a perfect home service process management system mechanism. The invention patent [3] provides a system combination model credibility intelligent evaluation method based on deep learning, which can reduce the implementation difficulty of system combat simulation credibility evaluation through a deep learning method and an optimization model based on a loss function, and realize self-adaptive intelligent evaluation and model screening. The invention [4] provides a group enterprise organization architecture management method based on multiple service types, which divides group enterprises into different types of institutions for management according to the organization architecture. The invention [5] provides a hierarchical distributed architecture and method for demand response resource combination optimization. The architecture includes a load aggregator, a load agent, and a demand response resource, which simplifies the computational complexity; the management of the load aggregator is facilitated, and the possibility is provided for a large amount of small and medium-sized demand response resources to participate in the system scheduling; the load adjustment quantity distribution problem is calculated in a distributed mode by utilizing a consistency algorithm and a Danish-Wallf decomposition theory, so that the calculation speed is improved compared with the centralized optimization, and the method can adapt to the characteristic of uncertainty of demand response resources.
The prior art invention has the following disadvantages: aiming at the product system proposal provided in a single field, such as patent [1] [2], a product system modeling method is provided in the aspects of military field and household service process management, and the method has strong dependence on field knowledge; in the product system scheme proposed for multi-level multi-class business, as in patent [3] [4] [5], only one specific industry is concerned, but a product system model in the general field is not given, and a technical support scheme cannot be provided for the top layer design of the hierarchical classification organization structure in the general field.
[1] Monte Carlo simulation analysis system and method based on architecture model, application number/patent number: the number of the elements of CN202010337005.9,
the invention design person: mo Yihang, luo Yuyang
[2] A construction method of a household service process management system model comprises the following steps: CN202010377559.1, inventor: liuxuan
[3] A system combination model credibility intelligent evaluation method based on deep learning, application number/patent number: cn201911088404.X, inventor: the Xingguo; liaoyi; li Yanchao; luo Dezhi; yang Rongjiang; wang Zhengdong; wang Haixing; peng Fang
[4] Group enterprise organization architecture management method based on multiple service types, application number/patent number: CN201610849407.0, inventor: huang Youjun; li Xing; wu Jianping; li Chunhui
[5] A hierarchical distributed architecture and method for demand response resource combination optimization, application number/patent number: CN201710123249.5, inventor: liu Yue; wang Lei
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, computer device, and storage medium for building a generic product system model that can solve the problem of failure to model a generic product system.
A method of generic product architecture model construction, the method comprising:
constructing a hierarchical view relationship model of the universal product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
establishing a hierarchical view relationship table according to the hierarchical view relationship architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and constraint conditions to obtain an optimal hierarchy and view structure of the hierarchical view relation model.
In one embodiment, the hierarchy attribute includes: a level attribute, a multi-level attribute, and an expansion attribute; the view attributes include: various generic properties, unification properties, and cross-layering properties; further comprises: and constructing a hierarchical view relation model of two dimensions according to the hierarchical attribute and the view attribute.
In one embodiment, the method further comprises: the product capability index comprises: business expression capability, business analysis capability and business cognition capability.
In one embodiment, the method further comprises: according to the capability index and the quantity, establishing an objective function and constraint conditions as follows:
where p represents the number of hierarchical attributes, q represents the number of view attributes, h i，j Weights, δ, representing the ith hierarchy attribute, the jth view attribute j Capability index, N, representing a j-th view attribute i，j Representing the product quantity, cy, of the ith hierarchy attribute, the jth view attribute 1 、cy 2 、cy 3 All represent the minimum value of the product quantity of the ith hierarchy attribute, the jth view attribute, and vu represents the maximum value of the product quantity of the ith hierarchy attribute, the jth view attribute.
In one embodiment, the method further comprises: acquiring an initial feasible base, determining an initial base feasible solution, and establishing an initial simplex table;
checking each non-base variable x j Is a check number of (2)If sigma j Not more than 0, j=m+1, n, the optimal solution is obtained and the calculation is stopped;
at sigma j Not more than 0, j=m+1,.,. In n, if there is a formula sigma therein k Corresponds to x k Coefficient vector P of (2) k If the value is less than or equal to 0, the problem is not solved, and the calculation is stopped;
according to max (sigma j ＞0)＝σ k Determining x k For changing in the variable, calculating according to the theta rule;
can determine x l To change out the variable, take a lk Iterating for the principal element, x k And transforming the corresponding column vectors to obtain a new simplex table, and outputting a final optimal hierarchy and view structure until the solution is finished.
A generic product architecture model building apparatus, the apparatus comprising:
the model construction module is used for constructing a hierarchical view relation model of the general product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
the relation table establishing module is used for establishing a hierarchical view relation table according to the hierarchical view relation architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and the model solving module is used for establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and the constraint conditions to obtain the optimal hierarchy and view structure of the hierarchical view relation model.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
constructing a hierarchical view relationship model of the universal product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
establishing a hierarchical view relationship table according to the hierarchical view relationship architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and constraint conditions to obtain an optimal hierarchy and view structure of the hierarchical view relation model.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
constructing a hierarchical view relationship model of the universal product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
establishing a hierarchical view relationship table according to the hierarchical view relationship architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and constraint conditions to obtain an optimal hierarchy and view structure of the hierarchical view relation model.
The method, the device, the computer equipment and the storage medium for constructing the universal product system model automatically construct the product systems with different layers and views by using the operation study model in the organization architecture. By introducing the hierarchical concept and the view concept and weighting different products by combining the business requirements, all products of different types can be modeled uniformly. And then carrying out iterative solution on products with different weights in all layers by using a simplex method in operation research, and constructing a final hierarchical classification organization architecture product system model according to the solution result.
Drawings
FIG. 1 is a flow diagram of a method for building a generic product architecture model in one embodiment;
FIG. 2 is a schematic diagram of generic product architecture model building in one embodiment;
FIG. 3 is a block diagram of a generic product architecture model building apparatus in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, a generic product architecture model building method is provided, comprising the steps of:
step 102, constructing a hierarchical view relation model of the general product.
The hierarchical view relationship architecture is constructed from multi-level hierarchical attributes and multi-level view attributes of a generic product.
Step 104, establishing a hierarchical view relation table according to the hierarchical view relation architecture.
Column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and row attributes are view attributes which are sequentially arranged; the corresponding values of the column attribute and the row attribute are product capability indexes, and the weight of the product capability indexes is determined according to the arrangement sequence of the hierarchy attribute and the view attribute; and the higher the rank of the column attribute is, the higher the corresponding number of products in the corresponding row attribute is.
And 106, establishing an objective function and constraint conditions according to the capability indexes and the product quantity, and solving the hierarchical view relation model by adopting a simplex method according to the objective function and the constraint conditions to obtain the optimal hierarchy and view structure of the hierarchical view relation model.
The simplex method is commonly used for solving the numerical value of a linear programming problem in the field of mathematical optimization, and the hierarchical view relation model is solved through the simplex method to obtain an optimal solution.
In the method for constructing the universal product system model, the product systems with different layers and views are automatically constructed in an organization architecture by utilizing an operation study model. By introducing the hierarchical concept and the view concept and weighting different products by combining the business requirements, all products of different types can be modeled uniformly. And then carrying out iterative solution on products with different weights in all layers by using a simplex method in operation research, and constructing a final hierarchical classification organization architecture product system model according to the solution result.
In one embodiment, the hierarchy attribute includes: a level attribute, a multi-level attribute, and an expansion attribute; view attributes include: various generic properties, unification properties, and cross-layering properties; and constructing a hierarchical view relation model of two dimensions according to the hierarchical attribute and the view attribute.
In particular, the hierarchy attribute refers to the same level set for a series of products in the product hierarchy to accommodate a certain hierarchy requirement. It has the following properties:
grade of grade
The level of the hierarchy attribute corresponds to the hierarchy. The products are hierarchically classified by the hierarchy element.
Multistage nature
Further hierarchies often exist in the hierarchy of certain hierarchy attributes in a product hierarchy, which may be considered in designing the product hierarchy. Thus, a level in the product hierarchy can also be subdivided.
Extensibility of
The hierarchy attribute meets the requirement of basic service, and when the hierarchy level changes, the hierarchy of the product needs to change and expand accordingly.
View attributes refer to the corresponding product categories set in a product hierarchy to meet a certain task or class of business in a particular hierarchy. It has the following properties:
multiple varieties of
To accommodate the classification criteria of different fields, the product architecture view may be partitioned according to different criteria, e.g., may be partitioned by nature, may be partitioned by business, may be partitioned by flow, etc.
Uniformity of
Although a product architecture may contain views of different standards, the views are only a part of the entire product, and the views are unified across the background data.
Cross-layering
There are both layers and views in the product architecture model, and views may exist at a certain layer or across layers.
In one embodiment, through analysis and summarization, two dimensions of layers and views are mainly considered when designing a hierarchical classification product system aiming at different business requirements, a corresponding general structure of layer-view relationship is given according to real business logic, one layer view comprising 3 layers and 20 views is taken as an example, and a constructed layer view relationship model is shown in fig. 2.
After the hierarchical view relationship architecture is established, a further hierarchical view relationship table needs to be established, the hierarchical view relationship model is firstly analyzed in a table form, and a 'v' indicates that a corresponding view product exists on the hierarchy, as shown in table 1:
table 1 contains a product distribution schematic of four levels and 6 business views
Starting from the fundamental purpose of the hierarchical view relation model, to improve the working service perception capability of each service port based on products, the capability index facing the hierarchical view relation model can be divided into service expression capability CY 1 Business analysis capability CY 2 And business cognitive ability CY 3 . The 3 capability indexes are examined from each level, the higher the level is, the greater the responsibility is, and the greater the performance is, so that the capability indexes are designed to be gradually decreased from the higher level to the lower level. Considering these 3 capability indicators from each service view, the weighting coefficients of each service port can be designed. Therefore, a business view product capability index system as shown in table 2 can be designed, wherein four levels are standard capabilities, and other levels are multiplied by related growth coefficients.
Table 2 schematic table of capability index distribution and variable mapping relation of service view product system
In addition, the higher the hierarchy, the more abundant the number of view products needed, considering that the number of view products in different business view product systems is related to the hierarchy. In addition, from the demand of the number of service ports, the demand of the number of the video products is different for each service port, and the set number coefficient can be considered. The number of constraints on the products in each view of each level is thus shown in table 3, where the four-level is calculated according to the standard minimum view product number, and the level above is multiplied by the associated growth factor.
Table 3 service view product quantity constraint distribution
In one embodiment, the objective function and constraint conditions are established according to the capability index and the product quantity:
where p represents the number of hierarchical attributes, q represents the number of view attributes, h i,j Weights, δ, representing the ith hierarchy attribute, the jth view attribute j Capability index, N, representing a j-th view attribute i,j Representing the product quantity, cy, of the ith hierarchy attribute, the jth view attribute 1 、cy 2 、cy 3 All represent capability indicators; vl represents the minimum value of the product quantity of the ith hierarchy attribute, jth view attribute, and vu represents the maximum value of the product quantity of the ith hierarchy attribute, jth view attribute.
Specifically, the above embodiments are described, wherein p is 4 and q is 6. The objective function and constraint conditions are established as follows:
in one embodiment, an initial feasible base is obtained, an initial base feasible solution is determined, and an initial simplex table is established;
checking each non-base variable x j Is a check number of (2)If sigma j Less than or equal to 0, j=m+1, …, n, obtaining the optimal solution, and stopping calculation; otherwise, go to the next step.
At sigma j Less than or equal to 0, j=m+1, …, n, if sigma is present therein k Corresponds to x k Coefficient vector P of (2) k If the value is less than or equal to 0, the problem is not solved, and the calculation is stopped; otherwise, go to the next step.
According to max (sigma j >0)＝σ k Determining x k For changing in the variable, calculating according to the theta rule;
can determine x l To change out the variable, take a lk Iterating for the principal element, x k And transforming the corresponding column vectors to obtain a new simplex table, and outputting a final optimal hierarchy and view structure until the solution is finished.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or sub-steps of other steps.
In one embodiment, as shown in FIG. 3, a generic product architecture model building apparatus is provided, comprising: a model building module 302, a relationship table building module 304, and a model solving module 306, wherein:
the model construction module 302 is configured to construct a hierarchical view relationship model of the generic product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
a relationship table establishing module 304, configured to establish a hierarchical view relationship table according to the hierarchical view relationship architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and the model solving module 306 is configured to establish an objective function and a constraint condition according to the capability index and the product quantity, and solve the hierarchical view relationship model according to the objective function and the constraint condition by adopting a simplex method to obtain an optimal hierarchy and view structure of the hierarchical view relationship model.
In one embodiment, the hierarchy attribute includes: a level attribute, a multi-level attribute, and an expansion attribute; the view attributes include: various generic properties, unification properties, and cross-layering properties; the model building module 302 is further configured to build a two-dimensional hierarchical view relationship model according to the hierarchical attribute and the view attribute.
In one embodiment, the product capability index comprises: business expression capability, business analysis capability and business cognition capability.
In one embodiment, the model solving module 306 is further configured to establish an objective function and a constraint condition according to the capability index and the product quantity as follows:
where p represents the number of hierarchical attributes, q represents the number of view attributes, h i,j Weights, δ, representing the ith hierarchy attribute, the jth view attribute j Capability index, N, representing a j-th view attribute i,j Representing the product quantity, cy, of the ith hierarchy attribute, the jth view attribute 1 、cy 2 、cy 3 All represent capability indicators; vl represents the minimum value of the product quantity of the ith hierarchy attribute, jth view attribute, and vu represents the maximum value of the product quantity of the ith hierarchy attribute, jth view attribute.
In one embodiment, the model solving module 306 is further configured to obtain an initial feasible base, determine an initial base feasible solution, and establish an initial simplex table;
checking each non-base variable x j Is a check number of (2)If sigma j Less than or equal to 0, j=m+1, …, n, obtaining the optimal solution, and stopping calculation;
at sigma j Less than or equal to 0, j=m+1, …, n, if sigma is present therein k Corresponds to x k Coefficient vector P of (2) k If the value is less than or equal to 0, the problem is not solved, and the calculation is stopped;
according to max (sigma j >0)＝σ k Determining x k For changing in the variable, calculating according to the theta rule;
can determine x l To change out the variable, take a lk Iterating for the principal element, x k And transforming the corresponding column vectors to obtain a new simplex table, and outputting a final optimal hierarchy and view structure until the solution is finished.
For specific limitations on the generic product architecture model construction apparatus, reference may be made to the above limitations on the generic product architecture model construction method, and no further description is given here. The modules in the above-described generic product architecture model building apparatus may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a generic product architecture model construction method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment a computer device is provided comprising a memory storing a computer program and a processor implementing the steps of the method of the above embodiments when the computer program is executed.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method of the above embodiments.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (8)
1. A method for building a generic product architecture model, the method comprising:
constructing a hierarchical view relationship framework of the universal product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
establishing a hierarchical view relationship table according to the hierarchical view relationship architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation framework by adopting a simplex method according to the objective function and constraint conditions to obtain an optimal hierarchy and view structure of the hierarchical view relation framework.
2. The method of claim 1, wherein the hierarchy attribute comprises: a level attribute, a multi-level attribute, and an expansion attribute; the view attributes include: various generic properties, unification properties, and cross-layering properties;
constructing a hierarchical view relationship architecture of a generic product, comprising:
and constructing a hierarchical view relation framework of two dimensions according to the hierarchical attribute and the view attribute.
3. The method of claim 1, wherein the product capability index comprises: business expression capability, business analysis capability and business cognition capability.
4. A method according to any one of claims 1 to 3, wherein establishing objective functions and constraints based on the capability index and the product quantity comprises:
according to the capability index and the product quantity, establishing an objective function and constraint conditions as follows:
where p represents the number of hierarchical attributes, q represents the number of view attributes, h i,j Weights, η, representing the ith hierarchy attribute, the jth view attribute j Representing the product quantity, delta, of the product of the j-th view j Capability index, N, representing a j-th view attribute i,j Representing the product quantity, cy, of the ith hierarchy attribute, the jth view attribute 1 、cy 2 、cy 3 Respectively representing service expression capability, service analysis capability and service cognition capability; vl represents the minimum value of the product quantity of the ith hierarchy attribute, jth view attribute, and vu represents the maximum value of the product quantity of the ith hierarchy attribute, jth view attribute.
5. The method of claim 1, wherein solving the hierarchical view relationship architecture using a simplex method according to the objective function and constraint conditions results in an optimal hierarchy and view structure of the hierarchical view relationship architecture, comprising:
acquiring an initial feasible base, determining an initial base feasible solution, and establishing an initial simplex table;
checking each non-base variable x j Is a check number of (2)If sigma j Less than or equal to 0, j=m+1, …, n, obtaining the optimal solution, and stopping calculation;
at sigma j Less than or equal to 0, j=m+1, …, n, if sigma is present therein k Corresponds to x k Coefficient vector P of (2) k If the value is less than or equal to 0, the problem is not solved, and the calculation is stopped;
according to max (sigma j >0)＝σ k Determining x k For changing in the variable, calculating according to the theta rule;
can determine x l To change out the variable, take a lk Iterating for the principal element, x k And transforming the corresponding column vectors to obtain a new simplex table, and outputting a final optimal hierarchy and view structure until the solution is finished.
6. A generic product architecture model building apparatus, the apparatus comprising:
the model construction module is used for constructing a hierarchical view relation framework of the general product; the hierarchical view relation architecture is constructed according to the multi-level hierarchical attribute and the multi-level view attribute of the general product;
the relation table establishing module is used for establishing a hierarchical view relation table according to the hierarchical view relation architecture; the column attributes in the hierarchical view relation table are hierarchical attributes which are sequentially arranged, and the row attributes are view attributes which are sequentially arranged; the values corresponding to the column attributes and the row attributes are product capability indexes, and the weights of the product capability indexes are determined according to the arrangement sequence of the hierarchy attributes and the view attributes; and the higher the column attribute ordering, the higher the corresponding product quantity in the corresponding row attribute;
and the model solving module is used for establishing an objective function and constraint conditions according to the capability index and the product quantity, and solving the hierarchical view relation framework by adopting a simplex method according to the objective function and the constraint conditions to obtain the optimal hierarchy and view structure of the hierarchical view relation framework.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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