CN113902192A - Variable process driven assembly line resource matching scheduling method - Google Patents
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Abstract
The invention discloses a variable process driven assembly production line resource matching scheduling method. Screening an alternative production line assembly resource set meeting the assembly process requirements from the production line assembly resource pool; organizing and constructing assembly resources of the production line according to the assembly process sequence logic connection form to form a scheme of all possible assembly resource configurations of the production line; and establishing a production line assembly resource combination configuration process performance evaluation model, performing multi-attribute evaluation on all possible production line assembly resource configurations, determining the optimal production line assembly resource configuration, and performing assembly production line resource scheduling. The method links the existing production line resource attributes with the assembly process information, so that the production line resources can adapt to complex and changeable production line assembly scenes, and scientific guidance and constraint are carried out on the organization and the operation process of different production lines, thereby fully exerting the characteristics of flexible operation and good flexibility of a variable process manufacturing system.
Description
Technical Field
The invention belongs to a production equipment resource scheduling configuration method in the field of production line resource matching scheduling, and particularly relates to a variable process-driven assembly production line resource matching scheduling method.
Background
In a mixed line production mode under process change, particularly in the manufacturing and production of some precision products with complex structures and frequent process change, a large amount of discrete production modes are adopted for unitization operation. For the production mode with frequently changed process information, the connection between the assembly process information and the production line design is very needed to be maintained all the time, and the problem of transmission mapping of the assembly process information to the assembly resource organization of the production line in the production operation process is solved, so that the assembly production line is supported to continuously operate, and the flexibility of the system and the efficiency of the production line are improved.
Disclosure of Invention
The invention aims to solve the technical problems and provides a variable process-driven assembly line resource matching and scheduling method. The method links the existing production line resource attributes with the assembly process information, so that the production line resources can adapt to complex and changeable production line assembly scenes, and scientific guidance and constraint are carried out on the organization and the operation process of different production lines, thereby fully exerting the characteristics of flexible operation and good flexibility of a variable process manufacturing system.
The technical scheme adopted by the invention is as follows:
s1, constructing a production line assembly resource searching model, and screening alternative production line assembly resource sets meeting the assembly process requirements from a production line assembly resource pool for different assembly tasks through the production line assembly resource searching model;
the production line assembly resource pool is composed of a plurality of production line assembly resources, and the production line assembly resources are manufacturing equipment and the like.
As shown in fig. 2, the production line assembly resource search model according to the present invention decomposes the applicable search process of production line assembly resources into three levels, which are respectively the functional dimension matching of production line assembly resources, the dimension matching of operation states of production line assembly resources, and the object interface attribute matching of production line assembly resources, and jointly forms the multidimensional applicability matching of production line assembly resources, and screens out the alternative configuration set of production line assembly resources that meets the assembly function requirements of the assembly process.
S2, organizing and constructing assembly resources of the production line according to the basic logic connection form of the assembly process sequence such as series connection, parallel connection and the like on the basis of obtaining the assembly resource set of the alternative production line, and forming a scheme of all possible assembly resource configurations of the production line;
s3, establishing a production line assembly resource combination configuration process performance evaluation model, performing multi-attribute evaluation on all possible production line assembly resource configurations, selecting the production line assembly resource configuration in the state of determining the optimal production line assembly resource combination performance, and scheduling assembly line resources according to the production line assembly resource configuration.
Specifically, in the S1, the production line assembly process requirement and the production line assembly resource matching search function are divided into four parts, namely, production line assembly resource function dimension matching, production line assembly resource operation state dimension matching, production line assembly resource interface attribute matching, and production line assembly resource multi-dimension applicable matching;
firstly, assembly of a resource pool of a production line is carried out, and the assembly process requirement and the assembly function are metOf dimensionsThe attribute matching search screens out the production line assembly resources matched with the basic function attribute information of the assembly process, and the production line assembly resources are used as a primary alternative production line assembly resource set; then, the alternative production line assembly resources in the states of 'failure', 'maintenance' and 'failure' in the current alternative production line assembly resource centralized production line operation cycle are eliminated through the attribute matching of the assembly process state requirement and the production line assembly resource operation state dimension, then, the production line assembly resources which meet the functional input and output type and meet the process requirement and the resource requirement threshold are obtained through the attribute matching of the assembly process input and output process requirement and the production line assembly resource interface and are screened again to serve as the alternative production line assembly resource set, finally, the production line assembly resources are subjected to multi-dimensional suitable matching, and the production line assembly resource alternative configuration set CON meeting the threshold is screened according to the preset production line assembly resource comprehensive matching degree thresholdRS。
In S3, alternative production line assembly resource combination configurations are set, and the alternative production line assembly resource combination configurations are compared comprehensively with combination configurations corresponding to the optimal configuration sequence and the worst configuration sequence extracted from the alternative production line assembly resource set, so as to obtain evaluation parameters of the production line assembly resource configurations.
The S3 specifically includes:
s31, establishing attributes for evaluating the process performance of the assembly resource configuration of the production line, and dividing a condition attribute set C and a weight attribute set D from the attributes of the assembly resource configuration of the production line according to a rough set theory, wherein the condition attribute set C represents a condition attribute set formed by the assembly process performance in the assembly resource combination configuration of the production line, and the weight attribute set D represents a weight attribute set formed by a weight degree result;
the process performance of the assembly line assembly resource combination configuration in the specific implementation comprises the following steps: working time T, process performance A, operation reliability R, process maturity F and operation cost C.
S32, discretizing the resource configuration process performance evaluation value:
discretizing the continuous evaluation parameters contained in the assembly process performance in the assembly resource combination configuration of the production line by adopting a discretization rule to obtain discretized evaluation parameters;
the discretization process is a process of classifying the originally continuous evaluation parameter into discrete values, for example, 1.2 ∈ interval [1, 2 ], according to the interval position to which the evaluation parameter belongs, and discretizing the evaluation parameter into 2. The specific discrete processing method employed here is shown in table 2.
S33, evaluation attribute reduction:
removing condition attributes of which the importance parameters are smaller than a preset importance threshold value from the discretized evaluation parameters;
s34, carrying out quantitative calculation and normalization processing on the alternative production line assembly resource configuration evaluation parameters under different logic structures:
dividing the assembly line resource organization configuration into a series configuration and a parallel configuration, wherein the series configuration refers to the assembly line resource organization configuration in a series mode, and the parallel configuration refers to the assembly line resource organization configuration in a parallel mode;
selecting one of a series configuration and a parallel configuration, designing different calculation methods for the corresponding evaluation parameters under each series configuration and each parallel configuration according to a production line assembly resource configuration process performance evaluation system for calculation, and carrying out normalization processing on the calculated evaluation parameter values so as to unify the dimensions of the evaluation parameters; steps S31 to S33 are performed to calculate the evaluation index of an individual before the combination of configurations, and in this step, the overall evaluation index is calculated and the influence of the length of the configuration is normalized.
S35, determining the comprehensive weight of each evaluation parameter:
and calculating the comprehensive weight of the attribute according to the following formula:
cλj＝θ*sλj+(1-θ)*oλj
wherein, c λjRepresents the integrated weight of the jth evaluation parameter, theta represents the weight coefficient, theta belongs to [0,1 ]]，sλjThe objective weight of the jth evaluation parameter is determined by an entropy method; o λjA preset weight representing a jth evaluation parameter;
s36, respectively selecting the production line assembly resource configuration with the optimal evaluation parameter from the evaluation parameters of each production line assembly resource configuration, and obtaining the evaluation parameter set of the optimal production line assembly resource configuration
And assembling resource configuration of the worst production line of each evaluation parameter, and obtaining an evaluation parameter set of the assembling resource configuration of the worst production lineX＝(x 1,x 2,x 3,x 4,x 5)，
Five evaluation parameters respectively representing the configuration of the optimal production line assembly resources,x 1,x 2,x 3,x 4,x 5five evaluation parameters respectively representing the worst production line assembly resource configuration;
sequentially taking the assembly resource configuration of each production line as an assembly resource configuration of an alternative production line, comparing the assembly resource configuration of the alternative production line with the assembly resource configuration of the optimal production line and the assembly resource configuration of the worst production line, and establishing the corresponding relation between the assembly process requirements and the assembly resources of the production lines:
wherein, SCORE () represents the evaluation result of the ith production line assembly resource configuration, ARCiIndicates the ith production line assembly resource configuration, XiRepresenting the configuration of the ith production line assembly resource;
representing an evaluation function between the ith production line assembly resource configuration and the optimal production line assembly resource configuration; ij all represent the serial number of the assembly resource configuration of the production line, L-(Xi,X) Representing an evaluation function between the ith production line assembly resource configuration and the worst production line assembly resource configuration;
evaluation function
The calculation is as follows:
evaluation function L _ (X)i,X) The calculation is as follows:
wherein x isijShowing the jth evaluation parameter under the ith production line assembly resource configuration,
the jth evaluation parameter representing the configuration of the optimal production line assembly resource,x jthe j-th evaluation parameter represents the worst production line assembly resource configuration;
s37, selecting the assembly resource configuration of the production line with the highest evaluation result score from all the assembly resource configurations of the production line as the final optimal assembly resource configuration of the production line.
The attribute irrelevant to the actual demand or having an importance lower than the preset threshold is removed before the step S36 is performed, reducing the amount of calculation of the data analysis process.
Compared with the prior art, the invention has the beneficial effects that:
1) according to the method, the resource matching corresponding relation is established between different production lines and assembly processes through the matching search method of assembly process resource requirements and production line assembly resources and the multi-attribute evaluation method of production line assembly resource configuration, so that the organization form of the production line assembly resources is more suitable for the assembly requirements, the utilization efficiency of the production line assembly resources is improved, and the production efficiency of the assembly process is improved. In the production of a multi-production line, particularly an assembly production line driven by a variable process, the method can solve the problem of rapid allocation and coordination of the logical organization form of assembly resources under the condition of assembly process change, and realize rapid change and construction of the assembly production line under the condition of process change.
2) The method of the invention enables the original fuzzy production line assembly resource searching process with partial experience to be clearer and more reasonable, can quickly obtain the production line assembly resource information meeting the assembly process requirements, and guarantees the requirement of the production line assembly resource application matching efficiency for the assembly process resource requirements in the variable process production mode.
3) According to the method, under the environment of cooperative operation of a plurality of assembly resources of the production line, different organization configurations are evaluated, scientific and comprehensive data support is provided for selection of the assembly resource organization structure of the production line, and the assembly resource organization structure of the production line under the target of optimal combination performance of the assembly resources of the production line is obtained. The quality of the assembly resource organization structure of the production line is improved, and the superiority of the assembly process designed according to the method in the aspects of time, safety, cost and the like is ensured.
Drawings
FIG. 1 is a schematic diagram of a resource matching scheduling method for an assembly line driven by a variable process according to the present invention;
FIG. 2 is a process of assembly process resource requirement and production line assembly resource match search according to the present invention.
Detailed Description
The invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the embodiment of the present invention and the implementation process thereof include the following steps:
s1, constructing a production line assembly resource search model, and screening out an alternative production line assembly resource set meeting the requirements of the assembly process to be matched from a production line assembly resource pool through suitable matching of production line assembly resources for different assembly tasks.
Specifically, the production line assembly process requirement and production line assembly resource matching search function is divided into four parts, namely production line assembly resource function dimension matching, production line assembly resource running state dimension matching, production line assembly resource interface attribute matching and production line assembly resource multi-dimension applicable matching.
Obtaining the assembly resource of the production line which is matched with the basic function attribute information of the assembly process through the assembly function attribute matching search of the assembly process requirement and the assembly function attribute of the assembly resource of the production line,
the method is used as a preliminary alternative production line assembly resource set, the alternative production line assembly resources with the production line operation cycle in the states of 'failure', 'maintenance' and 'failure' in the current alternative production line assembly resource set are eliminated through the matching of assembly process state requirements and production line assembly resource operation state attributes, the production line assembly resources which meet the same function input and output types and the process requirements and meet the resource requirement threshold are screened out again through the matching of assembly process input and output process requirement information and production line assembly resource interface attribute information, the production line assembly resources are finally subjected to multi-dimensional applicable matching through the production line assembly resources,
setting a threshold value of the comprehensive matching degree of assembly resources of the production line, and screening out an alternative configuration set CON (control on) of the assembly resources of the production line meeting the threshold valueRS＝{}。
And S2, organizing and constructing the assembly resources of the production line in a basic logic connection mode such as series connection, parallel connection and the like according to a certain assembly process sequence on the basis of obtaining the assembly resource configuration set of the alternative production line, and forming a possible assembly resource configuration scheme of the production line.
S3, establishing a production line assembly resource combination configuration process performance evaluation model according to a rough set theory, performing production line assembly resource configuration multi-attribute evaluation on the production line assembly resource configuration, and determining a production line assembly resource organization structure under the state of optimal production line assembly resource combination performance by selecting different organization configurations.
The multi-attribute evaluation of the production line assembly resource configuration in the step S3 is completed by the following steps:
and S31, establishing an evaluation rule decision table for evaluating the process performance of the assembly resource configuration of the production line.
And dividing a condition attribute C and a weight attribute D from the attribute of the assembly resource combination configuration of the production line according to a rough set theory, and jointly forming a process performance evaluation rule decision table of the assembly resource combination configuration of the production line. And the attribute C ═ { T, C, A, R, F } represents a condition attribute set formed by process performance evaluation rules in the assembly resource combination configuration of the production line, and the attribute D ═ { D } represents a weight attribute set formed by the evaluation strategy results.
And S32, discretizing the resource configuration process performance evaluation value.
And discretizing the continuity parameters contained in the evaluation rule of the process performance in the assembly resource combination configuration of the production line by adopting a discretization rule.
And S33, reduction of evaluation attributes.
The condition attribute of relatively low importance in the evaluation parameter is removed. And obtaining a process performance decision table after attribute reduction.
And S34, carrying out quantitative calculation and normalization processing on the alternative production line assembly resource configuration evaluation parameters under different logic structures.
The alternative production line resource organization configuration is divided into a series configuration and a parallel configuration. And selecting a configuration, and designing different calculation methods for corresponding evaluation parameters under each organization configuration according to a production line assembly resource combination configuration process performance evaluation system. And carrying out normalization processing on the calculated evaluation parameter values, and unifying the dimensions of the evaluation parameters.
And S35, determining the comprehensive weight of each evaluation parameter.
And comprehensively considering the subjective weight and the objective weight, and determining the weight value of the evaluation parameter. Using entropy valuesMethod for determining objective weight s lambdajAnd setting the subjective weight to o lambdajThe objective weight and the subjective weight are combined to obtain a comprehensive weight of the attribute, as shown in the following formula.
cλj＝θ*sλj+(1-θ)*oλj (1)
Wherein, c λjRepresents the integrated weight of some evaluation parameter, theta is belonged to [0,1 ]]Representing the subjective and objective weighting coefficients.
And S36, calculating the evaluation result of the alternative production line assembly resource combination configuration, and establishing the resource matching corresponding relation between different production lines and assembly processes by taking the final evaluation result as a parameter.
Selecting the optimal evaluation values of all the evaluation parameters from the evaluation values of the assembly resource configuration of each production line to form an optimal configuration sequence
And the worst evaluation value of each evaluation parameter forms a worst configuration sequenceX＝(x 1,x 2,x 3,x 4,x 5). And (3) constructing an evaluation method of the alternative production line assembly resource combination configuration shown by the formula 2. And comparing the combined configuration of the assembly resources of the alternative production line with the combined configuration corresponding to the optimal configuration sequence and the worst configuration sequence, and establishing the corresponding relation between the assembly process requirements and the assembly resources of the production line.
Wherein the difference from the optimally configured sequence can be quantified as formula 3.
Differences from the worst case sequence can be quantified as formula 4.
As shown in fig. 2, the matching search method for assembly process resource requirements and assembly line resources provided by the present invention is characterized in that an applicable search process for assembly line resources is divided into three levels, which are respectively the functional dimension matching of assembly line resources, the operation state dimension matching of assembly line resources, and the object interface attribute matching of assembly line resources, and the multidimensional applicability matching of assembly line resources is formed together, and a candidate configuration set of assembly line resources meeting the assembly process assembly function requirements is screened out.
TABLE 2
Table 2 above shows a discretization method for evaluating process performance of a production line assembly resource combination configuration, which is used in the present invention, and is used to process the continuity data in the process performance decision table and represent the continuity data as a discretization value. If the original evaluation parameter of the working time is 0.2, the corresponding position epsilon interval [0,1 ] in the table is referred, and the value after the discretization treatment is 1.
Claims (5)
1. A resource matching and scheduling method for an assembly production line driven by variable processes is characterized in that,
the method comprises the following steps:
s1, constructing a production line assembly resource searching model, and screening alternative production line assembly resource sets meeting the assembly process requirements from a production line assembly resource pool for different assembly tasks through the production line assembly resource searching model;
s2, organizing and constructing assembly resources of the production line according to the basic logic connection form of the assembly process sequence such as series connection, parallel connection and the like on the basis of obtaining the assembly resource set of the alternative production line, and forming a scheme of all possible assembly resource configurations of the production line;
s3, establishing a production line assembly resource combination configuration process performance evaluation model, performing multi-attribute evaluation on all possible production line assembly resource configurations, selecting the production line assembly resource configuration in the state of determining the optimal production line assembly resource combination performance, and scheduling assembly line resources according to the production line assembly resource configuration.
2. The assembly production line resource matching and scheduling method driven by variable processes according to claim 1, wherein: in the step S1, the production line assembly process requirement and the production line assembly resource matching search function are divided into four parts, namely, production line assembly resource function dimension matching, production line assembly resource operating state dimension matching, production line assembly resource interface attribute matching, and production line assembly resource multi-dimensional application matching;
firstly, assembly of a resource pool of a production line is carried out, and the assembly process requirement and the assembly function are metOf dimensionsThe attribute matching search screens out the production line assembly resources matched with the basic function attribute information of the assembly process, and the production line assembly resources are used as a primary alternative production line assembly resource set; then, the alternative production line assembly resources in the states of 'failure', 'maintenance' and 'failure' in the current alternative production line assembly resource centralized production line operation cycle are eliminated through the attribute matching of the assembly process state requirement and the production line assembly resource operation state dimension, then, the production line assembly resources which meet the functional input and output type and meet the process requirement and the resource requirement threshold are obtained through the attribute matching of the assembly process input and output process requirement and the production line assembly resource interface and are screened again to serve as the alternative production line assembly resource set, finally, the production line assembly resources are subjected to multi-dimensional suitable matching, and the production line assembly resource alternative configuration set CON meeting the threshold is screened according to the preset production line assembly resource comprehensive matching degree thresholdRS。
3. The assembly production line resource matching and scheduling method driven by variable processes according to claim 1, wherein: in S3, alternative production line assembly resource combination configurations are set, and the alternative production line assembly resource combination configurations are compared comprehensively with combination configurations corresponding to the optimal configuration sequence and the worst configuration sequence extracted from the alternative production line assembly resource set, so as to obtain evaluation parameters of the production line assembly resource configurations.
4. The assembly line resource matching and scheduling method driven by variable processes according to claim 1 or 3, wherein: the S3 specifically includes:
s31, establishing attributes for evaluating the process performance of the assembly resource configuration of the production line, and dividing a condition attribute set C and a weight attribute set D from the attributes of the assembly resource configuration of the production line according to a rough set theory, wherein the condition attribute set C represents a condition attribute set formed by the assembly process performance in the assembly resource combination configuration of the production line, and the weight attribute set D represents a weight attribute set formed by a weight degree result;
s32, discretizing the resource configuration process performance evaluation value: discretizing the continuous evaluation parameters contained in the assembly process performance in the assembly resource combination configuration of the production line by adopting a discretization rule to obtain discretized evaluation parameters;
s33, evaluation attribute reduction: removing condition attributes of which the importance parameters are smaller than a preset importance threshold value from the discretized evaluation parameters;
s34, carrying out quantitative calculation and normalization processing on the alternative production line assembly resource configuration evaluation parameters under different logic structures: dividing the production line resource organization configuration into a series configuration and a parallel configuration, selecting one of the series configuration and the parallel configuration, designing different calculation methods for corresponding evaluation parameters under each series configuration and each parallel configuration according to a production line assembly resource configuration process performance evaluation system, and carrying out normalization processing on each calculated evaluation parameter value;
s35, determining the comprehensive weight of each evaluation parameter:
and calculating the comprehensive weight of the attribute according to the following formula:
cλj＝λ*sλj+(1-θ)*oλj
wherein, c λjRepresents the integrated weight of the jth evaluation parameter, theta represents the weight coefficient, theta belongs to [0,1 ]]，sλjObjective weight, o λ, representing the jth evaluation parameterjA preset weight representing a jth evaluation parameter;
s36 atSelecting the production line assembly resource configuration with the optimal evaluation parameter from the evaluation parameters of each production line assembly resource configuration, and obtaining the evaluation parameter set of the optimal production line assembly resource configuration
And assembling resource configuration of the worst production line of each evaluation parameter, and obtaining an evaluation parameter set of the assembling resource configuration of the worst production lineX＝X(X 1，x 2，x 3，x 4，x 5)，
Five evaluation parameters respectively representing the configuration of the optimal production line assembly resources,x 1，x 2，x 3，x 4，x 5five evaluation parameters respectively representing the worst production line assembly resource configuration;
sequentially taking the assembly resource configuration of each production line as an assembly resource configuration of an alternative production line, comparing the assembly resource configuration of the alternative production line with the assembly resource configuration of the optimal production line and the assembly resource configuration of the worst production line, and establishing the corresponding relation between the assembly process requirements and the assembly resources of the production lines:
wherein, SCORE () represents the evaluation result of the ith production line assembly resource configuration, ARCiIndicates the ith production line assembly resource configuration, XiRepresenting the configuration of the ith production line assembly resource;
expressing an evaluation letter between the assembly resource configuration of the ith production line and the assembly resource configuration of the optimal production lineCounting; ij all represent the serial number of the assembly resource configuration of the production line, L-(Xi，X) Representing an evaluation function between the ith production line assembly resource configuration and the worst production line assembly resource configuration;
evaluation function
The calculation is as follows:
evaluation function L-(Xi，X) The calculation is as follows:
wherein x isijShowing the jth evaluation parameter under the ith production line assembly resource configuration,
the jth evaluation parameter representing the configuration of the optimal production line assembly resource,x jthe j-th evaluation parameter represents the worst production line assembly resource configuration;
s37, selecting the assembly resource configuration of the production line with the highest evaluation result score from all the assembly resource configurations of the production line as the final optimal assembly resource configuration of the production line.
5. The assembly production line resource matching and scheduling method driven by variable processes of claim 4, wherein:
the attribute irrelevant to the actual demand or having an importance lower than the preset threshold is removed before the step S36 is performed, reducing the amount of calculation of the data analysis process.
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| JP2018018270A (en) * | 2016-07-27 | 2018-02-01 | 株式会社東芝 | Production schedule preparation system and production schedule preparation method |
| CN110766304A (en) * | 2019-10-15 | 2020-02-07 | 江苏科技大学 | Assembly process resource optimal allocation method based on multi-index evaluation |
| CN111832913A (en) * | 2020-06-28 | 2020-10-27 | 华中科技大学 | Flexible quantitative evaluation method and equipment for production line |
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