[go: up one dir, main page]

CN111832913B - Flexible quantitative evaluation method and equipment for production line - Google Patents

Flexible quantitative evaluation method and equipment for production line Download PDF

Info

Publication number
CN111832913B
CN111832913B CN202010601519.0A CN202010601519A CN111832913B CN 111832913 B CN111832913 B CN 111832913B CN 202010601519 A CN202010601519 A CN 202010601519A CN 111832913 B CN111832913 B CN 111832913B
Authority
CN
China
Prior art keywords
production line
flexibility
product
equipment
dimension
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010601519.0A
Other languages
Chinese (zh)
Other versions
CN111832913A (en
Inventor
李斌
贺松平
张露
周晟
梁焜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huazhong University of Science and Technology
Original Assignee
Huazhong University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huazhong University of Science and Technology filed Critical Huazhong University of Science and Technology
Priority to CN202010601519.0A priority Critical patent/CN111832913B/en
Publication of CN111832913A publication Critical patent/CN111832913A/en
Application granted granted Critical
Publication of CN111832913B publication Critical patent/CN111832913B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

本发明公开了一种生产线的柔性量化评估方法及设备，属于柔性生产技术领域，该方法包括如下步骤：根据生产线柔性生产的特点，提出生产线柔性的评价指标；根据生产线的初步设计方案获取生产线的生产与布局信息；将所获取的生产线的生产与布局信息输入至面向生产线柔性的产品‑工艺‑设备特征关系网，根据所述的特征关系网，构建生产线不同维度的柔性评估模型；根据生产柔性需求制定生产线不同维度柔性的评价权重，通过对所述的不同维度的柔性评估模型的加权融合，得到生产线设计时的综合柔性评估模型与量化指标。本发明能够科学有效的对生产线柔性进行定量评估，能够帮助指导生产线的柔性设计，以及对所设计的生产线的柔性做出快速量化的评定。

The present invention discloses a method and device for quantitatively evaluating the flexibility of a production line, which belongs to the field of flexible production technology. The method includes the following steps: according to the characteristics of flexible production of the production line, an evaluation index of the flexibility of the production line is proposed; according to the preliminary design plan of the production line, the production and layout information of the production line is obtained; the production and layout information of the production line obtained is input into the product-process-equipment feature relationship network oriented to the flexibility of the production line, and according to the feature relationship network, a flexibility evaluation model of different dimensions of the production line is constructed; according to the production flexibility requirements, the evaluation weights of the flexibility of different dimensions of the production line are formulated, and the comprehensive flexibility evaluation model and quantitative indicators during the design of the production line are obtained by weighted fusion of the flexibility evaluation models of different dimensions. The present invention can scientifically and effectively carry out quantitative evaluation of the flexibility of the production line, can help guide the flexible design of the production line, and make a rapid quantitative evaluation of the flexibility of the designed production line.

Description

Flexible quantitative evaluation method and equipment for production line
Technical Field
The invention belongs to the technical field of flexible production, and particularly relates to a flexible quantitative evaluation method and equipment for a production line.
Background
With the advent of diversification and individualization of market demands, conventional rigid production modes have failed to meet market-oriented production demands. The flexible production is a novel production mode which mainly depends on manufacturing equipment with high flexibility and mainly based on a computer numerical control machine tool to realize multi-variety and small-batch production and aims at the defect of large-scale production. The flexible production is improved in the aspects of system structure, personnel organization, operation mode, marketing and the like, so that the production system can quickly adapt to market demand changes, and meanwhile, useless redundancy loss is eliminated, so that enterprises are strived for greater benefits. Computer and automation technology are the material technology basis for flexible production. For example, a Flexible manufacturing system (Flexible ManufactureSystem, FMS) is a group of processing equipment connected by a unified information control system and an automatic material storage and transportation system, can process various workpieces without stopping the machine, and has a certain management function.
In the world competing today, flexible manufacturing technology has become an important point of global development. To win customers, occupy the market, and become winners in the market competition, flexible manufacturing enterprises must maximize the utilization of resources to increase production efficiency, and meet customer demand for products at the fastest speed.
In this case, the manufacturing enterprises need to increase the flexibility of the production line by various methods to meet the market or demand. However, how to reasonably and quantitatively evaluate the flexibility of an existing or newly built production line by a manufacturing enterprise lacks related research and scientific and systematic methods, and people often rely on experience to evaluate the flexibility of the production line, so that unified and rapidly applicable quantitative evaluation indexes and methods are difficult to form.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a method and equipment for quantitatively evaluating the flexibility of a production line, which aims to comprehensively consider the influence degree of different characteristic relations on the flexibility of the product of the production line, establish flexible evaluation models with different dimensions, and combine the actual production flexibility demands on the basis to perform weighted fusion on the flexible evaluation models with different dimensions to obtain a comprehensive flexibility evaluation model and quantitative index of the production line, thereby realizing the rapid quantitative evaluation of the comprehensive flexibility of the production line, being suitable for the design and the transformation of the production line and solving the technical problems of lacking a unified and rapidly applicable quantitative evaluation index and method in the prior art.
To achieve the above object, according to one aspect of the present invention, there is provided a flexible quantitative evaluation method for a production line, comprising the steps of:
step 1: according to the characteristics of flexible production of the production line to be evaluated, making evaluation indexes of the flexibility of the production line from three dimensions of products, processes and equipment on the production line;
Step 2: the method comprises the steps of obtaining production and layout information of a production line from a design scheme of the production line, wherein the production and layout information comprises producible product types V i, total product types V, processable process types P j, total process types P, processable equipment types M k, total equipment types M, total product families Vty and equipment configuration diagrams;
step 3: inputting the production and layout information of the production line obtained in the step 2 into a characteristic relation network of a product-process-equipment facing the flexibility of the production line, and constructing flexibility evaluation models of the flexibility of different dimensions of the production line; the characteristic relation network comprises a product family relation, a process coincidence relation among products, correlation between the products and the process, process insertability, process sequence variability and correlation between the process and equipment; the flexibility evaluation model comprises a product dimension evaluation model, a process dimension evaluation model and an equipment dimension evaluation model;
Step 4: and (3) taking the production flexibility requirement of the production line to be evaluated as a production line flexibility analysis element, formulating evaluation weights corresponding to the flexibility of different dimensions, and carrying out weighted fusion on the three flexibility evaluation models in the step (3) according to the evaluation weights of the flexibility of different dimensions to obtain a comprehensive flexibility evaluation model and a quantization index of the production line.
Further, in step 1:
The flexibility evaluation index of the product dimension comprises: the product type number and the product similarity are expressed as the total number of the product types which can be produced by the production line, and the product similarity is expressed as the structure and the process similarity among the producible products;
The flexibility evaluation index of the process dimension comprises the following steps: process changeability and process insertability, wherein the process changeability is shown as the process path changeability during production of a production line, and the process insertability is shown as the process insertability between devices;
The flexibility evaluation index of the equipment dimension comprises: the equipment universality is represented by special and universal quantitative characterization of producible equipment of the production line, and the production line universality is represented by the integral universal degree of the production line.
Further, the product family relationship is expressed by constructing a family judgment matrix VV between various types of products according to the obtained product family information of the processable products:
Wherein v i,h is a judgment value of whether the product type v i and the product type v h are in the same family,
Subscripts i, h e [1, n ] are product type numbers, n is the maximum value of the product type numbers, and n=v;
the process coincidence relation among the products is expressed by researching the same process condition among the products according to different processes of different products of a production line, and constructing a process coincidence relation matrix PP among the products:
Wherein pp i,h is the number of the same process types possessed by product v i and product v h, and pp i,h is less than or equal to P;
The correlation between the product and the process is expressed by establishing a correlation matrix VP between the product produced by the production line and the processable process according to the type of the product produced by the production line and the processing process required by the type of the product:
In the method, in the process of the invention, Vp i,j denotes that the product v i is processed by a process type P j in the manufacturing process, j e [1, m ] is a process type number, m is a maximum value of the process type number, and m=p;
the process insertability is expressed by constructing a production line process insertability matrix MM according to a production line processing equipment configuration diagram:
Where mm k,o denotes the insertability of the process between device type m k and device type m o,
When k=o, mm k,o =0,
When k is not equal to o
0 Represents an insertable process, 1 represents an insertable process; o and K e 1, K are device type numbers, K is the maximum value of the device type numbers, and k=m;
The process sequence variability is expressed by constructing a sequence variability matrix PT between every two processes of the production line according to the design structure of the production line and considering the sequence of the processing processes capable of processing by the production line:
Where pt s,j denotes the sequential variability between process type p s and process type p j, the values are as follows:
When s=j, pt s,j =0;
when s is not equal to j, S epsilon [1, m ] is the process type number;
The correlation between the process and the equipment is expressed by establishing a correlation matrix PM between different types of equipment and processable processes on a production line according to the type of the equipment and the processing process of the type of equipment on the production line:
where pm j,k denotes whether the process p j is processed by the apparatus m k,
Further, a pairwise product similarity analysis matrix Si v is constructed according to the peer judgment matrix VV between the products and the process coincidence relation matrix PP between the products:
when i=h is used, I.e., the similarity between the same product types is 1, when i noteq.h,Representing a similarity value between the product v i and the product v h, wherein the larger the similarity value is, the higher the similarity is;
Constructing a product processing path variability quality house model Rv according to a correlation matrix VP of a product and a process sequence variability matrix PT, and acquiring the number of selectable paths of the product v i according to the processing path variability quality house model Rv
Further, the product dimension flexibility evaluation index includes the product type number and the product similarity, and the evaluation model F Pd is expressed as formula (8):
wherein F Pd represents a product dimension flexibility evaluation value, vty represents the number of product families which can be produced by a production line, si represents the total similarity of all types of products produced by the production line, and the total similarity is expressed as formula (9):
In (9) For the similarity value between product v i and product v h,Representing randomly selecting the combination number of the class 2 products from the class V products;
The process dimension flexibility evaluation index includes the variability of the process path and the insertability of the production process, and the evaluation model is expressed as formula (10):
In the formula (10), F Pc is a process dimension flexibility evaluation value, R is process path changeability of a production line, and the number of optional paths of the product v i is obtained by a process path changeability quality house model Rv The obtained is represented by formula (11); plu Process insertability for a production line, which is obtained from a Process insertability matrix MM, denoted as formula (12);
in the formulae (11) to (12) For the number of alternative paths of product V i, V is the total number of product types that can be produced by the production line, mm k,o is the insertability of the process between device M k and device M o, and M is the total number of device types of the production line;
the equipment dimension flexibility evaluation index comprises equipment utilization degree and production line utilization degree, and an evaluation model is expressed as formula (13):
In formula (13), F R is an evaluation value of flexibility in the equipment dimension, MT k is a general purpose degree of equipment m k, expressed as formula (14), and PuT is a general purpose degree value of a production line:
In the formula (14), pm j,k represents that the process P j is finished through the processing of the equipment m k, P is the total number of the processing processes in the production line, and k epsilon [1, K ] represents the equipment type number in the production line.
Further, in the step 4, according to the evaluation weights of the flexibility of different dimensions of the production line, three flexibility evaluation models are subjected to weighted fusion, and a comprehensive flexibility evaluation model type (15) of the production line is constructed:
FL＝(WPd,WPc,WPc)×(FPd,FPc,FR)T＝W×(FPd,FPc,FR)T (15)
Wherein W Pd,WPc,WPc is the weight of the product dimension, the process dimension and the equipment dimension of the production line on the comprehensive flexibility of the production line, and the comprehensive weight W of the comprehensive flexibility of the production line is used for representing;
The method for acquiring the weight W of the comprehensive flexibility of the production line comprises the following steps:
according to the relative importance among the product dimension flexibility, the process dimension flexibility and the equipment dimension flexibility in the comprehensive flexibility influence factors of the production line, constructing a judgment matrix A:
Wherein a xy represents the importance degree of a factor x compared with a factor y in the comprehensive flexibility influence factor of the production line, the values of a xy are 1/5, 1/3, 1, 3 and 5, and the higher the importance degree of the factor x compared with the factor y is, the larger the numerical value of a xy is; x, y=1, 2, 3 represent product dimension flexibility, process dimension flexibility, equipment dimension flexibility in sequence;
The production flexibility requirement is used as a production line flexibility analysis element, and the degree of the requirement among the product dimension flexibility, the process dimension flexibility and the equipment dimension flexibility is scored according to the production flexibility, so that a scoring matrix b is obtained:
Wherein b xy represents that the demand level of the production flexibility on the factor x is higher than the demand level of the production flexibility on the factor y, b xy has the values of 1/5, 1/3, 1,3 and 5, and the numerical value of b xy is larger when the demand level of the production flexibility on the factor x is higher than the demand level of the production flexibility on the factor y;
Multiplying a xy and B xy in the judgment matrix a to obtain a judgment matrix B:
Normalizing each column vector of B (matrix) to obtain The following are provided:
Wherein,
Wherein,Representation ofNormalized values of the x-th row and y-th column of (a);
For a pair of Summing the elements in the row, and normalizing the summation result to obtain a weight W:
Wherein, Is thatThe sum of the elements of row x;
And W is the comprehensive weight of the influence of three flexibility influencing factors, namely the product dimension flexibility, the process dimension flexibility and the equipment dimension flexibility, on the comprehensive flexibility of the production line.
To achieve the above object, according to another aspect of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any of the preceding claims.
In order to achieve the above object, according to another aspect of the present invention, there is provided a flexibility quantitative evaluation apparatus of a production line, including a computer-readable storage medium as described above, and a processor for calling and processing a computer program stored in the computer-readable storage medium.
In general, the above technical solutions conceived by the present invention, compared with the prior art, can achieve the following beneficial effects:
1. The production line flexibility quantitative evaluation method provided by the invention combines the production and layout characteristics of the designed production line, and considers the definition of industry experts on flexibility and the demands of markets and enterprises on flexibility at the same time when carrying out flexibility quantitative evaluation.
3. According to the production line flexibility quantitative evaluation method provided by the invention, the production line is evaluated, the quantitative evaluation value of the interval between [0,1] is obtained, the closer the obtained quantitative evaluation value is to 1, the better the flexibility of the production line is proved, the closer the obtained quantitative evaluation value is to 0, and the worse the flexibility of the production line is proved.
2. The invention quantitatively evaluates the flexibility of the production line, can scientifically and effectively quantitatively evaluate the flexibility of the production line, can help to guide the flexible design of the production line, and can also help markets or demand parties to rapidly and quantitatively evaluate the flexibility of the designed production line.
Drawings
FIG. 1 is a schematic diagram of a method for quantitatively evaluating flexibility of a production line according to the present invention;
FIG. 2 is a schematic diagram of different dimension assessment models constructed based on a feature relationship network provided by the present invention;
FIG. 3 is a device configuration diagram taken in one exemplary case of the present invention;
FIG. 4 is a mass house drawn in one illustrative case of the invention;
Fig. 5 is a schematic diagram of a multi-dimensional evaluation flow according to fig. 2.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
As shown in fig. 1, the method for quantitatively evaluating flexibility of a production line according to the preferred embodiment of the present invention includes the following steps:
S1, according to the characteristics of flexible production of the production line, providing an evaluation index of the flexibility of the production line. Wherein, the flexibility evaluation index includes: three-dimensional evaluation indexes of products, processes and equipment of a production line are oriented; the flexibility evaluation index of the product dimension comprises: product type number and product similarity; the flexibility evaluation index of the process dimension comprises the following steps: process variability and process insertability; the flexibility evaluation index of the equipment dimension comprises: the utility degree of equipment and the utility degree of production line.
S2, acquiring production and layout information of the production line according to the primary design scheme of the production line. Wherein, the production and layout information of the production line comprises:
1) The producible product type v i(i＝1,2,...,n)：v1,v2,...vn;
2) Total number of producible product types V: v=n;
3) The production line processable type p j(j＝1,2,...,m)：p1,p2,...pm;
4) Total number of processable process types P: p=m;
5) The type of equipment m k(k＝1,2,...,K)：m1,m2,...,mK that can be processed;
6) Total number of device types M: m=k;
7) Product family vty f: according to the model, structure and size of the product, similarity division is carried out on the processed product, and a product family vty f of the processed product is obtained, wherein (f=1, 2., F) is vty 1,vty2,...,vtyF, and F is less than or equal to n;
8) Total product family Vty: vty=f
9) Device configuration diagram:
According to the arrangement relation (series connection or parallel connection) among different types of equipment in the production line, a production line processing equipment configuration diagram (as an illustrative case, refer to fig. 3) is constructed, if the materials need to pass through the former type of equipment to the latter type of equipment in the transmission process, the equipment is in series connection, and if independent transfer trolleys exist, the materials can be respectively transmitted to the various types of equipment, and the equipment is in parallel connection.
S3, inputting the production and layout information of the production line obtained in the S2 into a product-process-equipment characteristic relation network facing the production line flexibility, and constructing flexibility evaluation models of different dimensions of the production line according to the characteristic relation network. The characteristic relation network comprises:
1) Product family relationship-according to the obtained product family information of the processable products, constructing a family judgment matrix VV between the products:
In the method, in the process of the invention, V i,h is a judgment value of whether the product v i and the product v h are in the same family.
2) Process coincidence relation among products-according to different processes of different products of a production line, researching the same process condition among the products, and constructing a process coincidence relation matrix PP among the products:
wherein pp i,h is the number of processes of the product v i and the product v h, pp i,h is less than or equal to P, and P is the total number of the types of the processes which can be processed by the production line, i and h are E [1, n ].
3) Correlation of product and process-based on the type of product that can be produced by the production line and the process required for that type of product, a correlation matrix VP between the product produced by the production line and the processable process is established:
In the method, in the process of the invention, Vp i,j denotes that product v i is processed during the manufacturing process by process p j, i.e. [1, n ], j.e. [1, m ].
4) Process insertability-according to the line tooling equipment configuration diagram, build line process insertability matrix MM:
Where mm k,o denotes the insertability of the process between device m k and device m o, when k=o, mm k,o =0, when k+.o
k∈[1，K]，o∈[1，K]。
5) Process sequence variability-according to the design structure of the production line, researching the sequence of the processing process of the production line, and constructing a sequence variability matrix PT between every two processes of the production line:
Where pt s,j denotes the sequence alterability between the process p s and the process p j, when s=j, pt s,j denotes the sequence alterability between two identical processes, and the sequence alterability between two identical processes is meaningless in the actual production process, so taking pt s,j =0,
When s is not equal to js、j∈[1，m]。
6) Correlation of process and equipment-according to the equipment type of the production line and the processes which can be processed by the equipment, a correlation matrix PM between different types of equipment and processable processes on the production line is established:
In the method, in the process of the invention, J e 1, m, k e 1, k, pm j,k denote the completion of process p j through the processing of equipment type m k.
7) Product similarity analysis matrix-a pairwise product similarity analysis matrix Si v is constructed according to the identity judgment matrix VV between products and the process coincidence relation matrix PP between products:
In the middle of When i=hWhen i is not equal to h, Representing the similarity value between product v i and product v h.
8) Product processing path variability quality house-a product processing path variability quality house model Rv is constructed from a correlation matrix VP of products and processes and a process sequence variability matrix PT (as in fig. 4):
Obtaining the number of selectable paths of each product according to the machining path variability quality house model Rv The method comprises the following steps:
，j≠s，j∈[1，m]，s∈[1，m]。
as shown in fig. 2 and fig. 5, according to the obtained feature relation network, multi-level fusion is performed to obtain flexible evaluation models with different dimensions, including: a product dimension assessment model, a process dimension assessment model, and an equipment dimension assessment model.
1) Product dimension evaluation model
The product flexibility evaluation index comprises the total number of product types and the similarity of the products. According to the production and layout information of the production line, the total number of types of products which can be produced by the production line is V, and the product family of the products which can be produced by the production line is Vty; according to the product similarity analysis matrix Si v of the production line, the product similarity Si of the production line can be obtained as follows:
The product flexibility evaluation model of the production line can be obtained according to the total number V of the product types and the product similarity Si of the production line and is F Pd:
2) Process dimension evaluation model
The process flexibility evaluation index includes the variability of the process path and the insertability of the production process. According to the machining path variability quality house model Rv, the number of selectable paths of each product can be obtainedThe process path changeability R of the production line is thus obtained as:
According to the line process insertability matrix MM, line process insertability Plu can be obtained:
Based on the variability R of the process path of the production line and the insertability Plu of the production process, a process flexibility evaluation model F Pc of the production line can be obtained:
3) Equipment dimension evaluation model
The equipment flexibility evaluation index comprises equipment utilization degree and production line utilization degree. The commonality MT k (k=1, 2,..k) of each device can be obtained from the process-device correlation matrix PM:
The line commonality PuT can be obtained according to the equipment commonality MT k:
The production line equipment flexibility evaluation model F R can be directly obtained by the production line utility value, namely
S4, according to the evaluation weights of the flexibility of the different dimensions of the production line, the invention combines the analytic hierarchy process to carry out weighted fusion on the flexibility evaluation models of the different dimensions, and the construction of the comprehensive flexibility evaluation model FL of the production line is as follows:
FL＝WT×(FPd,FPc,FR)T＝(WPd,WPc,WPc)×(FPd,FPc,FR)T (15)
wherein W Pd,WPc,WPc is the weight of the product dimension, the process dimension and the equipment dimension of the production line on the comprehensive flexibility of the production line respectively. The method for acquiring the weight W of the comprehensive flexibility of the production line comprises the following steps:
1) Obtaining an initial judgment matrix A
According to the comparison value between two factors of product dimension flexibility, process dimension flexibility and equipment dimension flexibility in the comprehensive flexibility of the production line, constructing a judgment matrix A (16):
A xy in the formula (16) represents the importance degree of a factor x in the comprehensive flexibility influence factor of the production line compared with a factor y, the value of a xy is 1/5, 1/3, 1,3 and 5, and the higher the importance degree of the factor x compared with the factor y is, the larger the numerical value of a xy is; x, y=1, 2,3 represent product dimension flexibility, process dimension flexibility, equipment dimension flexibility in sequence; for example, a 23 represents the importance of the process to the equipment. The relative importance between the two factors can be determined through actual evaluation according to the actual demands of different enterprises, clients and the like.
As an illustrative example, a xy can be scaled by three levels, 1, 3,5, i.e., factor x is equally important on a1 scale as factor y, factor x is generally important on a 3 scale as compared to factor y, factor x is very important on a 5 scale as compared to factor y, as shown in table 1.
Table 1 different dimensional flexible scale value meaning
Scale with a scale bar 1 3 5
Importance of Equally important Is of general importance Is very important
For example, the importance of three dimensional flexibility in a production line is: the product dimension flexibility is less than the process dimension flexibility is less than the equipment dimension flexibility, and then the configurable judgment matrix A is:
2) Obtaining scoring matrix b
Taking actual production flexibility requirements as production line flexibility analysis elements, inviting project responsible persons, quality management personnel and production responsible persons of production line requirement enterprises to evaluate the importance of product dimension flexibility, process dimension flexibility and equipment dimension flexibility to the comprehensive flexibility of the production line according to the flexible production requirements of the enterprises to obtain a two-two factor scoring matrix b:
In the formula (17), b xy represents that the demand level of the production flexibility on the factor x is higher than the demand level of the factor y, b xy has the values of 1/5, 1/3, 1,3 and 5, and the higher the demand level of the production flexibility on the factor x is compared with the demand level of the factor y, the larger the numerical value of b xy is. b xy is also scaled by 1,3,5, the scale meaning being as in table 1, b xy＝1/byx.
For example, after evaluation, the importance of flexibility in three dimensions in a certain production line is determined as follows: product dimension flexibility > process dimension flexibility = equipment dimension flexibility, then the configurable judgment matrix b is:
3) Acquiring a judgment matrix B
Multiplying each comparison value in the judgment matrix A by a corresponding coefficient in the scoring matrix B to obtain a judgment matrix B:
4) Obtaining flexibility evaluation weight W of each dimension
Normalizing each column vector of B (matrix) to obtainThe following are provided:
Wherein,
Representation ofNormalized values of the x-th row and y-th column of (a);
From the example matrix B, it is possible to:
For a pair of Summing the elements in the row and normalizing the elements to obtain a weight W:
Wherein, Is thatThe sum of the elements of row x;
the obtained W= (W Pd,WPc,WPc)T is the comprehensive weight of the three flexibility influence factors of the product dimension flexibility, the process dimension flexibility and the equipment dimension flexibility on the comprehensive flexibility influence of the production line.
According to an example matrixCalculating the flexible weights of different dimensions of the production line to be:
The production line flexibility quantitative evaluation method provided by the invention combines the production and layout characteristics of the designed production line, and considers the definition of industry experts on flexibility and the demands of markets and enterprises on flexibility at the same time when carrying out flexibility quantitative evaluation. According to the production line flexibility quantitative evaluation method provided by the invention, the production line is evaluated, the quantitative evaluation value of the interval between [0,1] is obtained, the closer the obtained quantitative evaluation value is to 1, the better the flexibility of the production line is proved, the closer the obtained quantitative evaluation value is to 0, and the worse the flexibility of the production line is proved.
The invention quantitatively evaluates the flexibility of the production line, can scientifically and effectively quantitatively evaluate the flexibility of the production line, can help to guide the flexible design of the production line, and can also help markets or demand parties to rapidly and quantitatively evaluate the flexibility of the designed production line.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (8)

1.一种生产线的柔性量化评估方法，其特征在于，包括如下步骤：1. A method for quantitatively evaluating the flexibility of a production line, characterized in that it comprises the following steps: 步骤1：根据待评估的生产线柔性生产的特点，从生产线上的产品、工艺、设备三个维度制定生产线柔性的评价指标；Step 1: According to the characteristics of flexible production of the production line to be evaluated, formulate evaluation indicators of production line flexibility from three dimensions: products, processes, and equipment on the production line; 步骤2：从生产线的设计方案中获取生产线的生产与布局信息，包括可生产的产品类型vi、产品类型总数V，可加工的工艺类型pj、工艺类型总数P，可进行加工的设备类型mk、设备类型总数M，产品族总数Vty，以及设备配置图；Step 2: Obtain the production and layout information of the production line from the design plan of the production line, including the types of products that can be produced vi , the total number of product types V, the types of processes that can be processed pj , the total number of process types P, the types of equipment that can be processed mk , the total number of equipment types M, the total number of product families Vty, and the equipment configuration diagram; 步骤3：将步骤2所获取的生产线的生产与布局信息输入至面向生产线柔性的产品-工艺-设备的特征关系网，构建生产线不同维度柔性的柔性评估模型；所述特征关系网包括产品同族关系、产品间工艺重合关系、产品与工艺的相关性、工艺可插入性、工艺顺序可变性以及工艺与设备的相关性；柔性评估模型包括产品维度评估模型、工艺维度评估模型以及设备维度评估模型；Step 3: Input the production and layout information of the production line obtained in step 2 into the feature relationship network of products, processes and equipment for production line flexibility, and construct a flexibility evaluation model for the flexibility of production lines in different dimensions; the feature relationship network includes product homology relationships, process overlap relationships between products, product-process correlation, process insertability, process sequence variability, and process-equipment correlation; the flexibility evaluation model includes a product dimension evaluation model, a process dimension evaluation model, and an equipment dimension evaluation model; 步骤4：将待评估生产线的生产柔性需求作为生产线柔性分析要素，制定不同维度柔性对应的评价权重，按照不同维度柔性的评价权重对步骤3中的三个柔性评估模型进行加权融合，得到生产线的综合柔性评估模型与量化指标。Step 4: Take the production flexibility demand of the production line to be evaluated as the flexibility analysis factor of the production line, formulate the evaluation weights corresponding to the flexibility of different dimensions, and perform weighted fusion on the three flexibility evaluation models in step 3 according to the evaluation weights of the flexibility of different dimensions to obtain the comprehensive flexibility evaluation model and quantitative indicators of the production line. 2.如权利要求1所述的一种生产线的柔性量化评估方法，其特征在于，步骤1中：2. A method for quantitatively evaluating the flexibility of a production line according to claim 1, characterized in that in step 1: 产品维度的柔性评价指标包括：产品类型数和产品相似度，产品类型数表现为生产线可生产的产品类型总数量，产品相似度表现为可生产产品之间的结构、工艺相似程度；The flexibility evaluation indicators of the product dimension include: the number of product types and product similarity. The number of product types is the total number of product types that can be produced by the production line, and the product similarity is the degree of similarity in structure and process between the products that can be produced. 工艺维度的柔性评价指标包括：工艺可变更性和工艺可插入性，工艺可变更性表现为生产线生产时工艺路径的可变更性，工艺可插入性表现为设备之间工艺的可插入性；The flexibility evaluation indicators of the process dimension include: process changeability and process insertability. The process changeability is manifested as the changeability of the process path during production line production, and the process insertability is manifested as the insertability of the process between equipment. 设备维度的柔性评价指标包括：设备通用度与产线通用度，设备通用度表现为生产线可生产设备专用与通用的量化表征，产线通用度表现为生产线整体的通用程度。The flexibility evaluation indicators of the equipment dimension include: equipment versatility and production line versatility. Equipment versatility is a quantitative representation of the specialization and versatility of the production line's production equipment, and production line versatility is the overall versatility of the production line. 3.如权利要求1或2所述的一种生产线的柔性量化评估方法，其特征在于，所述产品同族关系表现为根据所获取的可加工产品的产品族信息，构建各类型产品间的同族判断矩阵VV：3. A method for quantitatively evaluating the flexibility of a production line according to claim 1 or 2, characterized in that the product homology relationship is expressed by constructing a homology judgment matrix VV between various types of products based on the product family information of the processable products obtained: 式中，vvi,h为产品类型vi与产品类型vh是否同族的判断值，In the formula, vvi,h is the judgment value of whether product type vi and product type vh are in the same family. 下标i、h∈[1,n]为产品类型编号，n为产品类型编号最大值，n＝V； Subscripts i, h∈[1,n] are product type numbers, n is the maximum value of the product type number, n=V; 所述产品间工艺重合关系表现为根据生产线不同产品的不同工艺，研究两两产品间相同工艺情况，构建产品间工艺重合关系矩阵PP：The process overlap relationship between products is expressed as studying the same process between two products according to the different processes of different products on the production line, and constructing the process overlap relationship matrix PP between products: 式中，ppi,h为产品vi与产品vh拥有的相同工艺类型的数量，且ppi,h≤P；Where pp i,h is the number of the same process types that products vi and v h have, and pp i,h ≤ P; 所述产品与工艺的相关性表现为根据生产线所能生产产品类型与该产品类型所需要的加工工艺，建立生产线所生产产品与可加工工艺之间的相关性矩阵VP：The correlation between the product and the process is expressed as establishing a correlation matrix VP between the product produced by the production line and the process that can be processed according to the product type that the production line can produce and the process required for the product type: 式中，vpi,j表示产品vi在制造过程中经过工艺类型pj进行加工，j∈[1,m]为工艺类型编号，m为工艺类型编号最大值，m＝P；In the formula, vp i,j means that product vi is processed by process type p j during the manufacturing process, j∈[1,m] is the process type number, m is the maximum value of the process type number, m＝P; 所述工艺可插入性表现为根据生产线加工设备配置图，构建生产线工艺可插入性矩阵MM：The process insertability is manifested by constructing a production line process insertability matrix MM according to the production line processing equipment configuration diagram: 式中，mmk,o表示设备类型mk与设备类型mo之间工艺的可插入性，In the formula, mm k,o represents the insertability of the process between equipment type m k and equipment type m o , 当k＝o时,mmk,o＝0，When k＝o, mm k,o ＝0, 当k≠o时, When k≠o, 0表示不可插入工艺，1表示可插入工艺；o、k∈[1,K]为设备类型编号，K为设备类型编号最大值，K＝M；0 indicates that the process cannot be inserted, and 1 indicates that the process can be inserted; o, k∈[1,K] are the equipment type numbers, K is the maximum value of the equipment type number, K＝M; 所述工艺顺序可变性表现为根据生产线的设计结构，考虑生产线所能加工工艺的先后次序，构建生产线两两工艺之间的顺序可变更性矩阵PT：The process sequence variability is manifested by considering the order of the processes that can be processed on the production line according to the design structure of the production line, and constructing the sequence variability matrix PT between the processes on the production line: 式中，pts,j表示工艺类型ps与工艺类型pj之间的顺序可变更性，取值如下：Where pt s,j represents the order changeability between process type p s and process type p j , and its value is as follows: 当s＝j时，pts,j＝0；When s＝j, pt s,j ＝0; 当s≠j时，s∈[1,m]为工艺类型编号；When s≠j, s∈[1,m] is the process type number; 所述工艺与设备的相关性表现为根据生产线的设备类型与该类型设备所能加工的工艺，建立生产线上不同类型的设备与可加工工艺之间的相关性矩阵PM：The correlation between the process and the equipment is expressed as follows: according to the equipment type of the production line and the process that can be processed by the equipment of this type, a correlation matrix PM between different types of equipment on the production line and the process that can be processed is established: 式中，pmj,k表示工艺pj是否由设备mk进行加工，Where pmj ,k indicates whether process pj is processed by equipment mk . 4.如权利要求3所述的一种生产线的柔性量化评估方法，其特征在于，根据产品间的同族判断矩阵VV与产品间工艺重合关系矩阵PP构建两两产品相似度分析矩阵Siv：4. A method for quantitatively evaluating the flexibility of a production line according to claim 3, characterized in that a pairwise product similarity analysis matrix Si v is constructed based on the product homology judgment matrix VV and the product process overlap relationship matrix PP: 当i＝h时，即相同产品类型之间的相似度为1，当i≠h时， 表示产品vi与产品vh之间的相似度值，相似度值越大相似度越高； When i = h, That is, the similarity between the same product types is 1. When i≠h, Represents the similarity value between product vi and product vh . The larger the similarity value, the higher the similarity. 根据产品与工艺的相关性矩阵VP与工艺顺序可变更性矩阵PT构建产品加工路径可变性质量屋模型Rv，根据加工路径可变性质量屋模型Rv，获取产品vi可选路径数 According to the product-process correlation matrix VP and the process sequence changeability matrix PT, the product processing path variability quality house model Rv is constructed. According to the processing path variability quality house model Rv, the number of optional paths for product v i is obtained. 5.如权利要求4所述的一种生产线的柔性量化评估方法，其特征在于，产品维度柔性评估指标包括产品类型数与产品相似度，其评估模型FPd表示为式(8)：5. A method for quantitatively evaluating the flexibility of a production line according to claim 4, characterized in that the product dimension flexibility evaluation index includes the number of product types and product similarity, and its evaluation model F Pd is expressed as formula (8): 式中，FPd表示产品维度柔性评估值，Vty表示生产线可生产的产品族数，Si表示生产线所生产的所有类型产品的总相似度，表示为式(9)：In the formula, F Pd represents the flexibility evaluation value of the product dimension, Vty represents the number of product families that can be produced by the production line, and Si represents the total similarity of all types of products produced by the production line, which can be expressed as formula (9): 式(9)中为产品vi与产品vh之间的相似度值，表示从V类产品中随机选取2类产品的组合数；In formula (9) is the similarity value between product vi and product vh , It represents the number of combinations of 2 types of products randomly selected from V types of products; 工艺维度柔性评估指标包括工艺路径的可变更性与生产工艺的可插入性，其评估模型表示为式(10)：The process dimension flexibility evaluation index includes the changeability of the process path and the insertability of the production process. Its evaluation model is expressed as formula (10): 式(10)中FPc为工艺维度柔性评估值，R为生产线的工艺路径可变更性，其由加工路径可变性质量屋模型Rv得到的产品vi可选路径数获取，表示为式(11)；Plu为生产线工艺可插入性，其由工艺可插入性矩阵MM获取，表示为式(12)；In formula (10), F Pc is the process dimension flexibility evaluation value, R is the process path changeability of the production line, and the number of optional paths for product v i obtained by the process path changeability quality house model Rv is: Obtained, expressed as formula (11); Plu is the process insertability of the production line, which is obtained by the process insertability matrix MM, expressed as formula (12); 式(11)至(12)中为产品vi可选路径数，V是生产线可生产产品类型总数，mmk,o是设备mk与设备mo之间工艺的可插入性，M是生产线的设备类型总数量；In formulas (11) to (12), is the number of optional paths for product vi , V is the total number of product types that can be produced by the production line, mm k,o is the insertability of the process between equipment m k and equipment m o , and M is the total number of equipment types in the production line; 设备维度柔性评估指标包括设备通用度与产线通用度，其评估模型表示为式(13)：The equipment dimension flexibility evaluation index includes equipment universality and production line universality, and its evaluation model is expressed as formula (13): 式(13)中，FR为设备维度的柔性评估值，MTk为设备mk的通用度表示为式(14)，PuT为生产线通用度值：In formula (13), FR is the flexibility evaluation value of the equipment dimension, MTk is the universality of the equipment mk, which is expressed as formula (14), and PuT is the universality value of the production line: 式(14)中，pmj，k表示工艺pj经过设备mk的加工完成，P为生产线可加工工艺总数，k∈[1，K]表示生产线中设备类型编号。In formula (14), pmj ,k means that process pj is completed by equipment mk , P is the total number of processes that can be processed in the production line, and k∈[1,K] represents the equipment type number in the production line. 6.如权利要求5所述的一种生产线的柔性量化评估方法，其特征在于，步骤4中根据生产线不同维度柔性的评价权重，对三个柔性评估模型进行加权融合，构建生产线综合柔性评估模型式(15)：6. A method for quantitatively evaluating the flexibility of a production line as claimed in claim 5, characterized in that in step 4, three flexibility evaluation models are weighted and fused according to the evaluation weights of the flexibility of different dimensions of the production line to construct a comprehensive flexibility evaluation model of the production line (15): FL＝(WPd，WPc，WPc)×(FPd，FPc，FR)T＝W×(FPd，FPc，FR)T (15)FL = ( WPd , WPC , WPC ) × ( FPd , FPc , FR ) T = W × ( FPd , FPc , FR ) T (15) 式中，WPd，WPc，WPc分别为生产线产品维度、工艺维度、设备维度对生产线综合柔性的权重，由生产线综合柔性的综合权重W进行表征；Where W Pd , W Pc , W Pc are the weights of the production line product dimension, process dimension, and equipment dimension on the comprehensive flexibility of the production line, respectively, and are represented by the comprehensive weight W of the comprehensive flexibility of the production line; 所述生产线综合柔性的权重W获取方法包括：The method for obtaining the weight W of the comprehensive flexibility of the production line includes: 根据生产线综合柔性影响因素中的产品维度柔性、工艺维度柔性、设备维度柔性之间的相对重要性，构建判断矩阵A：According to the relative importance of product dimension flexibility, process dimension flexibility, and equipment dimension flexibility among the factors affecting the comprehensive flexibility of the production line, a judgment matrix A is constructed: 其中，axy表示生产线综合柔性影响因素中的因素x相比于因素y的重要程度，axy取值为1/5、1/3、1、3、5，因素x相比于因素y的重要程度越高，则axy的数值越大；x、y＝1、2、3依次表示产品维度柔性、工艺维度柔性、设备维度柔性，axy＝1/ayx；Among them, axy represents the importance of factor x compared to factor y in the comprehensive flexibility influencing factors of the production line, and the values of axy are 1/5, 1/3, 1, 3, and 5. The higher the importance of factor x compared to factor y, the larger the value of axy . x, y = 1, 2, and 3 represent product dimension flexibility, process dimension flexibility, and equipment dimension flexibility respectively, and axy = 1/ ayx ; 将生产柔性需求作为生产线柔性分析要素，根据生产柔性对产品维度柔性、工艺维度柔性、设备维度柔性之间的需求程度的高低进行评分，得到评分矩阵b：The production flexibility demand is used as a factor in the production line flexibility analysis. The production flexibility is scored according to the degree of demand for product dimension flexibility, process dimension flexibility, and equipment dimension flexibility, and the scoring matrix b is obtained: 其中，bxy表示生产柔性对因素x的需求程度相比于对因素y的需求程度更高，bxy取值为1/5、1/3、1、3、5，生产柔性对因素x的需求程度相比于对因素y的需求程度越高，则bxy的数值越大；Among them, b xy means that the demand degree of production flexibility for factor x is higher than that for factor y, and the values of b xy are 1/5, 1/3, 1, 3, and 5. The higher the demand degree of production flexibility for factor x is compared with that for factor y, the larger the value of b xy is. 将判断矩阵A中的axy与bxy相乘，得到判断矩阵B：Multiply a xy and b xy in judgment matrix A to get judgment matrix B: 将判断矩阵B的每一列向量归一化，得如下：Normalize each column vector of the judgment matrix B to get as follows: 其中， in, 其中，表示的第x行第y列的归一化数值；in, express The normalized value of the xth row and yth column of ; 对中的元素按行求和，并对求和结果归一化得到权重W：right The elements in are summed row by row and the sum is normalized to get the weight W: 其中，为中第x行的元素之和；in, for The sum of the elements in row x of ; W即为产品维度柔性、工艺维度柔性和设备维度柔性三个柔性影响因素对生产线综合柔性影响的综合权重。W is the comprehensive weight of the three flexibility influencing factors, namely product dimension flexibility, process dimension flexibility and equipment dimension flexibility, on the comprehensive flexibility of the production line. 7.一种计算机可读存储介质，其特征在于，该计算机可读存储介质上存储有计算机程序，该计算机程序被处理器执行时实现如权利要求1～6任一项所述的方法。7. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented. 8.一种生产线的柔性量化评估设备，其特征在于，包括如权利要求7所述的计算机可读存储介质以及处理器，处理器用于调用和处理计算机可读存储介质中存储的计算机程序。8. A flexible quantitative evaluation device for a production line, characterized in that it comprises the computer-readable storage medium as claimed in claim 7 and a processor, wherein the processor is used to call and process a computer program stored in the computer-readable storage medium.
CN202010601519.0A 2020-06-28 2020-06-28 Flexible quantitative evaluation method and equipment for production line Active CN111832913B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010601519.0A CN111832913B (en) 2020-06-28 2020-06-28 Flexible quantitative evaluation method and equipment for production line

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010601519.0A CN111832913B (en) 2020-06-28 2020-06-28 Flexible quantitative evaluation method and equipment for production line

Publications (2)

Publication Number Publication Date
CN111832913A CN111832913A (en) 2020-10-27
CN111832913B true CN111832913B (en) 2024-07-02

Family

ID=72899367

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010601519.0A Active CN111832913B (en) 2020-06-28 2020-06-28 Flexible quantitative evaluation method and equipment for production line

Country Status (1)

Country Link
CN (1) CN111832913B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112668862B (en) * 2020-12-23 2025-03-11 华中科技大学 A quantitative evaluation method for adaptability of production lines
CN113902192B (en) * 2021-10-11 2024-04-30 浙江大学 A resource matching and scheduling method for assembly production lines driven by variable process
CN119165839B (en) * 2024-11-21 2025-02-25 深圳市塔联科技有限公司 A FPC production control system and method based on demand analysis
CN120219396B (en) * 2025-05-29 2025-09-02 罗宾高分子科技（厦门）有限公司 A method for evaluating the quality of rubber bellows processing

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110676351A (en) * 2019-10-17 2020-01-10 中山大学 Compound film, preparation method thereof and compound film solar cell

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110676351A (en) * 2019-10-17 2020-01-10 中山大学 Compound film, preparation method thereof and compound film solar cell

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
考虑柔性的制造企业多维度绩效度量模型;陈友玲;梁佩馨;朱颖;;计算机应用(第S1期);全文 *

Also Published As

Publication number Publication date
CN111832913A (en) 2020-10-27

Similar Documents

Publication Publication Date Title
CN111832913B (en) Flexible quantitative evaluation method and equipment for production line
TWI650714B (en) Dynamic intelligent scheduling method and device
CN109902954B (en) A dynamic scheduling method for flexible job shop based on industrial big data
CN112882449A (en) Energy consumption optimization scheduling method for multi-variety small-batch multi-target flexible job shop
CN110414863A (en) An intelligent manufacturing workshop resource scheduling method
CN114462770B (en) Semiconductor production scheduling method, system and computer readable storage medium
CN117474385B (en) Intelligent manufacturing capability maturity assessment method and system based on big data
Zhang et al. Combining TOPSIS and GRA for supplier selection problem with interval numbers
CN118657448A (en) Improved production scheduling method for weaving flexible workshop based on NSGA-II
CN110059842A (en) A kind of foundry's production planning optimization method considering smelting furnace and sand mold size
CN114022232A (en) Big data analysis technology-based electrical steel user material selection inquiry recommendation method
CN117726289A (en) Project performance evaluation method based on industry-finance integration
Wong et al. Optimization of manual fabric-cutting process in apparel manufacture using genetic algorithms
Singh et al. A genetic algorithm based solution to optimum tolerance synthesis of mechanical assemblies with alternate manufacturing processes—benchmarking with the exhaustive search method using the Lagrange multiplier
CN111814359A (en) A Discrete Manufacturing-Oriented Integrated Workshop Scheduling and Assembly Sequence Planning Method
CN110648050A (en) Reconstruction method for conversion of traditional assembly line alignment unit type assembly mode
CN115438929A (en) Scheduling method for reentrant process of aeroengine assembly workshop
CN112396290B (en) MPS/MRP integrated planning method supporting bilateral fuzzy constraint
CN116061013A (en) A batch optimization method for loading and polishing of silicon carbide wafer substrates
Ruhbakhsh et al. A Mathematical Model for Lot-streaming Hybrid Flow Shop Scheduling Problem by Considering Learning Effect and Buffer Capacity
CN114442580A (en) A method and system for flow shop scheduling based on enhanced genetic algorithm
CN111639863A (en) Production scheduling method considering fuzzy operation processing time
Korytkowski A genetic algorithm with tournament selection for optimising inspection allocation in multiproduct multistage production systems
CN119417184B (en) Mixed flow shop scheduling optimization method and system based on equipment green degree ordering
CN111275356A (en) SMT workshop intelligent scheduling method based on hybrid scheduling algorithm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant