CN115689341A - Garment quality management method and system based on flexible production chain - Google Patents
Garment quality management method and system based on flexible production chain Download PDFInfo
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Abstract
The invention provides a garment quality management method and system based on a flexible production chain, and relates to the technical field of garment production. The invention solves the technical problems of excess capacity, serious stock overstock and poor clothing quality caused by the fact that the traditional clothing production can not effectively distribute and utilize resources according to historical sales data in the prior art, realizes the reasonable control of the capacity, guarantees the production quality and improves the capital conversion rate, thereby reducing the management cost of the clothing production.
Description
Technical Field
The invention relates to the technical field of clothing production, in particular to a clothing quality management method and system based on a flexible production chain.
Background
The clothing industry pays attention to market trend, is more fashionable and rapid, and in order to catch up with the trend, designers and fashionable buyers of a plurality of brands can stare at popular elements of various fashionable clothes and fashionable brand products and the like and then quickly imitate the fashionable brands, so that a plurality of rapid fashionable brands need to finish the fashion in the shortest time from design, production to sale. However, the traditional clothes production and sale needs to be made orders several months in advance, and the order quantity of each clothes supply chain requires ten thousand orders, so that the style cannot be changed in seasons, and the inventory amount is increased greatly when the product is sold in a lost state. Therefore, the traditional production chain is faced with many problems, such as slow reaction speed, high production cost, high overstocked inventory, greatly reduced capital turnover rate, very adverse effect on seller business, and even great benefit in closing doors.
In the prior art, the traditional clothing production can not effectively distribute and utilize resources according to historical sales data, so that the clothing quality is poor, the productivity is excessive, the stock overstock is serious, and the final fund turnover rate is greatly reduced.
Disclosure of Invention
The embodiment of the application provides a garment quality management method and system based on a flexible production chain, which are used for solving the technical problems that in the prior art, the traditional garment production cannot effectively distribute and utilize resources to the production according to historical sales data, so that the garment quality is poor, the productivity is excessive, the stock backlog is serious, and the final fund turnover rate is greatly reduced.
In view of the above problems, embodiments of the present application provide a method and a system for managing quality of garments based on a flexible production chain.
In a first aspect, an embodiment of the present application provides a method for managing quality of garments based on a flexible production chain, where the method includes: the method comprises the steps of obtaining historical clothing production data information based on big data, wherein the historical clothing production data information comprises production chain configuration information and product production quality information of historical order information, obtaining a production chain configuration-product quality mapping relation according to the production chain configuration information and the product production quality information, obtaining production basic information of a target production enterprise, constructing a clothing quality production control model through a digital twin technology based on the production chain configuration-product quality mapping relation and the production basic information, obtaining production order information, carrying out demand analysis on the production order information, obtaining order production demand information, inputting the order production demand information into the clothing quality production control model for simulation analysis, obtaining production chain configuration parameter information, and carrying out flexible production management on the production order information based on the production chain configuration parameter information.
In a second aspect, an embodiment of the present application provides a garment quality management system based on a flexible production chain, the system including: the historical information acquisition module is used for acquiring historical clothing production data information based on big data, and the historical clothing production data information comprises production chain configuration information of historical order information and product production quality information; the mapping relation obtaining module is used for obtaining a mapping relation between production chain configuration and product quality according to the production chain configuration information and the product production quality information; the production basic information acquisition module is used for acquiring the production basic information of the target production enterprise; a quality production control model construction module for constructing a clothing quality production control model by a digital twin technique based on the production chain configuration-product quality mapping relationship and the production basis information; the production order information processing module is used for obtaining production order information, carrying out demand analysis on the production order information and obtaining order production demand information; the simulation analysis module is used for inputting the order production demand information into the clothing quality production control model for simulation analysis to obtain production chain configuration parameter information; and the flexible production management module is used for carrying out flexible production management on the production order information based on the production chain configuration parameter information.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the embodiment of the application provides a garment quality management method based on a flexible production chain, which relates to the technical field of garment production, historical garment production data information is obtained based on big data, production chain configuration information and product production quality information including historical order information are included, a production chain configuration-product quality mapping relation is obtained according to the production chain configuration information and the product production quality information, production basic information of a target production enterprise is obtained, a garment quality production control model is constructed through a digital twin technology based on the production chain configuration-product quality mapping relation and the production basic information, production order information is obtained, demand analysis is conducted on the production order information, order production demand information is obtained, the order production demand information is input into the garment quality production control model for simulation analysis, production chain configuration parameter information is obtained, and flexible production management is conducted on the production order information based on the production chain configuration parameter information. The technical problems that in the prior art, the traditional clothing production cannot effectively distribute and utilize resources to the production according to historical sales data, so that the clothing quality is poor, the productivity is excessive, the stock overstock is serious, and the final fund turnover rate is greatly reduced are solved, the productivity is reasonably controlled, the production quality is ensured, the fund conversion rate is improved, and the management cost of the clothing production is reduced.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a method for managing quality of clothes based on a flexible production chain according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating the process of obtaining order production requirement information in a method for managing quality of clothing based on a flexible production chain according to an embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating a process of obtaining configuration parameter information of a production chain in a method for managing quality of clothing based on a flexible production chain according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a garment quality management system based on a flexible production chain according to an embodiment of the present application.
Description of reference numerals: the system comprises a history information acquisition module 1, a mapping relation acquisition module 2, a production basic information acquisition module 3, a quality production control model construction module 4, a production order information processing module 5, a simulation analysis module 6 and a flexible production management module 7.
Detailed Description
The embodiment of the application provides a garment quality management method based on a flexible production chain, and the method is used for solving the technical problems that in the prior art, the traditional garment production cannot effectively distribute and utilize resources to the production according to historical sales data, so that the garment quality is poor, the productivity is excessive, the stock overstock is serious, and the final fund turnover rate is greatly reduced.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for managing quality of garments based on a flexible production chain, the method including:
step S100: obtaining historical clothing production data information based on the big data, wherein the historical clothing production data information comprises production chain configuration information and product production quality information of historical order information;
specifically, the garment quality management method based on the flexible production chain is applied to the field of garment production. Firstly, a search engine is used for selectively accessing links related to the clothing production of web pages on the world wide web to obtain a large amount of historical clothing production data information, wherein the historical clothing production data information comprises production chain configuration information, such as production raw material information, textile printing and dyeing machine information, clothing processing production information and the like, and further comprises product production quality information under different production chains. The preliminary understanding of the historical production condition of the large environment is realized by acquiring the historical garment production data information, and a foundation is laid for the subsequent production management.
Step S200: obtaining a production chain configuration-product quality mapping relation according to the production chain configuration information and the product production quality information;
specifically, in the production process, different production chain configurations may generate different product qualities, for example, for different production apparatuses, when the same batch of raw materials is processed, fine processing and rough processing are performed, and the production qualities achieved by different processing apparatuses in the production process are also different, a production loss function of a product in the production chain configuration is obtained, where the production loss function is used to represent changes in the production qualities of products obtained by production in different production chain configurations, in this embodiment, the production loss function is used to map values of the production qualities of products obtained by production in different production chain configurations into non-negative real numbers to represent changes in the product qualities, and the common loss functions include a 0-1 loss function, an absolute loss function, a log-log loss function, and the like, and the different loss functions are used to affect the model differently. Through the acquisition of the mapping relation between the production chain configuration and the product quality, a foundation is laid for the subsequent construction of a model, and the error of a model predicted value is reduced, so that the aim of accurate analysis is fulfilled.
Step S300: obtaining production basic information of a target production enterprise;
specifically, production basic information of the target production enterprise is acquired through modes of investigation, field investigation and the like, wherein the production basic information comprises raw materials, production chain configuration, production line, order condition and the like of the target production enterprise, and the acquisition of the production basic information of the target production enterprise realizes primary understanding of the target production enterprise and lays a foundation for subsequent production management.
Step S400: constructing a clothing quality production control model by a digital twinning technology based on a production chain configuration-product quality mapping relation and production basic information;
specifically, the production basic information of the target production enterprise is matched with the production chain configuration information under the big data, the same production chain configuration is matched, and the product quality corresponding to the target production enterprise is obtained according to the mapping relation between the production chain configuration and the product quality. The digital twin technology fully utilizes data of a physical model, sensor updating, operation history and the like, integrates a multidisciplinary, multi-physical quantity, multi-scale and multi-probability simulation process, and finishes mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment. The digital twin technology is that an information model which is completely equivalent to a physical entity is built in a computer virtual space, and simulation analysis and optimization of the physical entity based on the digital twin are realized through the construction of a garment quality production control model, so that the operation of a production chain is driven by an optimal result.
Step S500: obtaining production order information, and performing demand analysis on the production order information to obtain order production demand information;
specifically, an order demand index set is obtained, the order demand index set comprises clothing demand, a completion deadline and total task volume, an order demand coordinate system is constructed according to the order demand index set, the order demand coordinate system is a multidimensional stereo coordinate system, clothing demand, the completion deadline and the total task volume information in order information are obtained according to production orders received by target production enterprises, production order information is quantized according to the order demand index set, if 10 days are set as 1 unit of the completion deadline, 50 days in the production orders are 5 units in the order demand coordinate system, the clothing demand and the total task volume can be obtained in the same way, the production order information is input into the order demand coordinate system, an order demand vector is obtained, order demand parameter information is obtained based on the order demand vector, for example, a model of the vector is used as an order demand parameter value, and order production demand information is determined based on the order demand parameter information. The analysis of the order demand is solved, and the quantitative processing of the order demand is realized.
Step S600: inputting the order production demand information into a garment quality production control model for simulation analysis to obtain production chain configuration parameter information;
specifically, the garment quality production control model is a model constructed by a digital twinning technology based on a production chain configuration-product quality mapping relation and production basic information. The garment quality production control model comprises an input layer, a parameter configuration layer, a simulation evaluation layer, a parameter optimization layer and an output layer, order production demand information is input into the parameter configuration layer through the input layer to obtain production chain initial parameter information, the production chain initial parameter information is subjected to simulation evaluation based on the simulation evaluation layer to obtain garment production quality evaluation information, the production chain initial parameter information and garment production quality evaluation information are input into the parameter optimization layer to be optimized to obtain production chain configuration parameter information, and the production chain configuration parameter information is output based on the output layer. The simulation analysis of the production process of the product is realized, and the effect of more comprehensively and intelligently matching the configuration parameters of the production chain is achieved.
Step S700: and carrying out flexible production management on the production order information based on the production chain configuration parameter information.
Specifically, according to the obtained configuration parameter information of the production chain, including production raw material information, production lines, the number of production days and the like, the production chain which meets the order requirement is matched to perform flexible production management, if the order quantity is large and the quality requirement is high, a high-quality production line is selected, and a plurality of production lines work simultaneously. The flexible production management means that in the garment production process, a supply chain has enough elasticity, the capacity can quickly respond according to the order requirements, for example, multiple styles can be made in small batches, and orders can be made in large batches, and the large order and the small order can be unified and controllable in quality, almost different in cost and timely delivered. The problems of excess capacity and serious stock backlog in the traditional clothing production are solved, the capacity is reasonably controlled, the capital conversion rate is improved, and the dilemma of the clothing industry is fundamentally solved.
Further, as shown in fig. 2, step S500 of the present application further includes:
step S510: obtaining an order demand index set, wherein the order demand index set comprises clothing demands, completion time limit and total task volume;
step S520: constructing an order demand coordinate system according to the order demand index set, wherein the order demand coordinate system is a multi-dimensional stereo coordinate system;
step S530: inputting production order information into an order demand coordinate system to obtain an order demand vector;
step S540: obtaining order demand parameter information based on the order demand vector;
step S550: and determining order production demand information based on the order demand parameter information.
Specifically, order requirements are analyzed and disassembled into three parts, namely, requirements of garment types, fabrics, styles, quality levels and the like, the garment requirements are requirements of days of factory manufacture, the total task quantity is the total number of garments, quantification is respectively carried out on the garment requirements, namely, the requirements of garment types, fabrics, styles, quality levels and the like, the completion period is the requirement of days of factory manufacture, the total task quantity is the total number of garments, if ten days are set as a unit of the completion period, the completion period is set as an x axis, the garment requirements are set as a y axis, and the total task quantity is set as a z axis, a space rectangular coordinate system is established, the production order information is similarly disassembled into three parts, namely, the garment requirements, the completion period and the total task quantity, each item is respectively input to a corresponding axis, and then the order requirement vector A (a, b and c) of the production order information can be obtained, and the order requirement vector A (a, b and c) of the production order information can be obtained according to the calculation
The modulus of the vector is used as a demand parameter value to represent each demand of the production order, namely order production demand information. The problem of processing the production order is solved through the establishment of the rectangular coordinate system, the effect of clearly and visually reflecting the information of the production order is achieved, and the working efficiency is improved.
Further, as shown in fig. 3, step S600 of the present application further includes:
step S610: the garment quality production control model comprises an input layer, a parameter configuration layer, a simulation evaluation layer, a parameter optimization layer and an output layer;
step S620: inputting order production demand information into a parameter configuration layer through an input layer to obtain initial parameter information of a production chain;
step S630: performing simulation evaluation on the initial parameter information of the production chain based on a simulation evaluation layer to obtain the evaluation information of the production quality of the clothes;
step 640: and inputting the initial parameter information of the production chain and the production quality evaluation information of the clothes into a parameter optimization layer for optimization to obtain the configuration parameter information of the production chain, and outputting the configuration parameter information of the production chain based on an output layer.
Specifically, the garment quality production control model is a model constructed by a digital twin technology based on a production chain configuration-product quality mapping relation and production basis information, wherein the input layer is used for inputting order production demand information to the parameter configuration layer. The parameter configuration layer is used for initializing the parameters of each hidden unit to the same values, namely, during forward transmission, each hidden unit calculates the same values according to the same input and transmits the same values to the output layer, and the parameter gradient values of each hidden unit are equal during reverse transmission, so that the gradient values of the parameters are still equal after a gradient optimization algorithm is used, and the same is true for the subsequent iteration, specifically, the normal distribution is used for initializing the weight values, so that the initial parameter information of the production chain is obtained.
The simulation evaluation layer is used for performing simulation evaluation on the obtained production chain initial parameter information, specifically, obtaining the production chain initial parameter information, the production chain initial parameter information comprises a plurality of variable names, and variable values corresponding to the variable names are collected at a plurality of moments in the running process of the simulation evaluation layer to obtain the clothing production quality evaluation information. The parameter optimization layer is used for writing the acquired variable values into an evaluation file, respectively calculating the difference value between each variable value and a preset numerical value in the evaluation file after information is written, screening out the difference value larger than a preset threshold value, marking the variable value corresponding to the difference value larger than the preset threshold value in the evaluation file, and performing global optimization on the marked evaluation file to obtain the configuration parameter information of the production chain. And the output layer is used for outputting the obtained production chain configuration parameter information. The simulation analysis of the production process of the product is realized, and the effect of more comprehensively and intelligently matching the configuration parameters of the production chain is achieved.
Further, step S640 of the present application further includes:
step S641: taking the difference value between the garment production quality evaluation information and the preset garment quality requirement as a garment production quality optimization parameter;
step S642: based on the basic information of production, obtaining a production parameter optimizing space;
step S643: determining a quality optimization fitness function according to the production chain configuration-product quality mapping relation and the garment production quality optimization parameters;
step S644: and the parameter optimization layer performs global optimization in the production parameter optimization space based on the quality optimization fitness function and outputs production chain configuration parameter information.
Specifically, the garment production quality evaluation information is compared with a preset garment quality requirement, if the same shows that the garment production quality evaluation information just meets the preset garment quality requirement, production can be directly carried out accordingly, if the same shows that the garment production quality evaluation information does not meet the preset requirement, production chain configuration needs to be promoted, if the same shows that the garment production quality evaluation information does not meet the preset requirement, the production chain configuration needs to be reduced, and if the same shows that the garment production quality evaluation information does not meet the preset requirement, the production chain configuration needs to be reduced, wherein the promotion or reduction grade is the garment production quality optimization parameter. And determining the adjustable range according to the basic production information, and if ten production lines exist, adjusting the production lines to open a plurality of production lines to accelerate production when the task amount is large. Determining a quality optimization fitness function of the obtained product quality optimization fitness function according to the production chain configuration-product quality mapping relation and the clothes production quality optimization parameters
I.e. the product quality changes, the production chain configuration also changes at the same time.
Judging whether the garment production quality evaluation information meets the preset garment quality requirement, illustratively, according to the preset garment quality requirement, the target garment quality needs to reach 95%, but through calculation, the current garment production quality can only reach 92%, namely, the preset garment quality requirement is not met, increasing a horizontal coordinate value in a quality optimization fitness function image based on the target garment quality evaluation information, illustratively, the garment production quality evaluation information comprises garment types, fabrics, styles, quality grades and the like, randomly adjusting and combining the parameters to obtain a plurality of adjustment parameter sets, performing global optimization in the plurality of adjustment parameter sets, wherein the global optimization is an optimization method for randomly searching a model space under the guidance of a certain rule to achieve the purpose of global optimization, an optimization inversion algorithm adopting the global optimization algorithm is called global optimization inversion, a nonlinear global optimization inversion method adopting a simulated annealing algorithm and a genetic algorithm and the like is adopted, the global optimization method adopts the simulated annealing algorithm, and the local linearization introduced due to gradient value calculation is enabled to avoid the selection of the algorithm, an initial value is enabled to obtain an optimal mapping relationship, and a product configuration chain is obtained according to the production configuration parameter. Through global optimization, reasonable and accurate management and control of the garment production process are achieved, and then a production chain meeting the garment production quality requirements is determined.
Further, the present application also includes:
step S810: verifying the analysis effect of the garment quality production control model to obtain the model analysis accuracy;
step S820: if the model analysis accuracy does not reach the preset analysis accuracy, obtaining a model analysis deviation degree based on the difference value between the model analysis accuracy and the preset analysis accuracy;
step S830: and iteratively updating the clothing quality production control model based on the model optimization algorithm and the model analysis deviation degree to obtain the clothing quality production optimization control model.
Specifically, a garment quality production control model is trained to obtain an initial result, illustratively, firstly, the change of a training objective function value is observed, the objective function value is continuously reduced from 200 to close to 0 at the beginning, but oscillation begins to occur in about 100 rounds, and as the training amplitude is larger and larger, the model is not stable, then, the accuracy of a training set and a verification set is observed, the accuracy of the training set is found to be close to 1, the accuracy of the verification set is stabilized at about 70%, the generalization capability of the model is not strong, the overfitting condition occurs, finally, a test set is evaluated, the accuracy is found to be 69%, the preset analysis accuracy is not reached, and therefore the model analysis deviation degree is obtained. The model is improved through a data enhancement technology, a model improvement technology, a change learning rate, a deepened network layer number, a residual error network technology and the like, the improvement methods are stacked step by step and are further developed step by step, so that the fitting capacity and the generalization capacity of the network are stronger and stronger, and higher accuracy is finally obtained, so that the clothing quality production optimization control model is obtained. The accuracy of the garment quality production control model is improved through training, and the effect of improving the garment production efficiency is achieved.
Further, the present application also includes:
step S910: carrying out progress tracking on the production order information to obtain order real-time production progress information;
step S920: obtaining a preset production stage target according to the production order information;
step S930: obtaining the completion degree of a production target based on the order real-time production progress information and a preset production stage target;
step S940: and adjusting the configuration parameter information of the production chain based on the completion degree of the production target.
Specifically, according to the order information, including the completion deadline and the total task amount, optionally selecting one as a production target, illustratively, for example, the completion deadline is 10 days, the total task amount is 10000, the production target is set as 10000, after the order is put into production, the production progress is tracked in real time, for example, only 500 orders are produced on the 1 st day, obviously according to the production progress, the subsequent tasks are overstocked, and the order cannot be completed on time, then according to the remaining task amount and the number of days, production parameters are adjusted, such as increasing the number of production lines, increasing the machine speed and the like, so as to ensure that the order is completed on time, similarly, if 2000 orders are produced on the first day, the orders can be completed on the production progress for 5 days, at this time, if the production has no pressure, the work on the progress can be continued, but in order to protect the machine and save the production capacity, the production line can be reduced, or the machine speed can be slowed down. Through the real-time tracking of the production progress, the reasonable and accurate management and control of the clothing production are realized, and the on-time completion of the production is further ensured.
Further, the present application also includes:
step S1010: acquiring clothing production equipment information of a target production enterprise;
step S1020: monitoring the state of the garment production equipment information to obtain the state information of the production equipment;
step S1030: when the state information of the production equipment is a fault, sending an equipment early warning mark;
step S1040: and correcting the configuration parameter information of the production chain based on the equipment early warning mark.
Specifically, the method comprises the steps of recording clothing production equipment information of a label production enterprise by an operator, wherein the clothing production equipment information comprises a condition during normal operation, a basic fault type, a fault state and the like, capturing the clothing production equipment state in real time by monitoring equipment, recording the current equipment state at regular time, carrying out image analysis on the recorded equipment state, comparing the image with an image in a normal operation state, sending an equipment early warning mark when the image is inconsistent with the image in the normal operation state and indicating that the equipment has a fault, matching the image in the fault state, such as printing and dyeing color error, cutting error, line fault and the like, and correcting production chain configuration parameter information according to a fault reason. The problem of real-time monitoring of production equipment is solved, early warning is timely carried out when equipment fails, and loss caused by equipment failure is avoided.
Example two
Based on the same inventive concept as the method for managing the quality of the clothes based on the flexible production chain in the previous embodiment, as shown in fig. 4, the present application provides a system for managing the quality of the clothes based on the flexible production chain, the system comprising:
the system comprises a historical information acquisition module 1, wherein the historical information acquisition module 1 is used for acquiring historical garment production data information based on big data, and the historical garment production data information comprises production chain configuration information and product production quality information of historical order information;
the mapping relation obtaining module 2 is used for obtaining a mapping relation between production chain configuration and product quality according to the production chain configuration information and the product production quality information;
the production basic information acquisition module 3 is used for acquiring the production basic information of the target production enterprise;
the quality production control model building module 4 is used for building a clothing quality production control model through a digital twin technology based on a production chain configuration-product quality mapping relation and production basic information;
the production order information processing module 5 is used for obtaining production order information, performing demand analysis on the production order information and obtaining order production demand information;
the simulation analysis module 6 is used for inputting the order production demand information into the clothing quality production control model for simulation analysis to obtain production chain configuration parameter information;
and the flexible production management module 7 is used for carrying out flexible production management on the production order information based on the production chain configuration parameter information.
Further, the system further comprises:
the system comprises an order demand index set acquisition module, a data processing module and a data processing module, wherein the order demand index set acquisition module is used for acquiring an order demand index set, and the order demand index set comprises clothing demands, completion time limit and total task quantity;
the order demand coordinate system construction module is used for constructing an order demand coordinate system according to the order demand index set, and the order demand coordinate system is a multidimensional stereo coordinate system;
the order demand vector acquisition module is used for inputting production order information into an order demand coordinate system to obtain an order demand vector;
the order demand parameter information acquisition module is used for acquiring order demand parameter information based on the order demand vector;
the order production demand information determining module is used for determining order production demand information based on the order demand parameter information.
Further, the system further comprises:
the quality production control model module is used for controlling the clothing quality production and comprises an input layer, a parameter configuration layer, a simulation evaluation layer, a parameter optimization layer and an output layer;
the production chain initial parameter information acquisition module is used for inputting order production demand information into the parameter configuration layer through the input layer to acquire production chain initial parameter information;
the simulation evaluation module is used for carrying out simulation evaluation on the initial parameter information of the production chain based on the simulation evaluation layer to obtain the evaluation information of the production quality of the clothes;
and the configuration parameter information output module is used for inputting the initial parameter information of the production chain and the production quality evaluation information of the clothes into the parameter optimization layer for optimization to obtain the configuration parameter information of the production chain and outputting the configuration parameter information of the production chain based on the output layer.
Further, the system further comprises:
the production quality optimization parameter acquisition module is used for taking the difference value between the garment production quality evaluation information and the preset garment quality requirement as a garment production quality optimization parameter;
the production parameter optimizing space acquisition module is used for acquiring a production parameter optimizing space based on production basic information;
the quality optimization fitness function determining module is used for determining a quality optimization fitness function according to the production chain configuration-product quality mapping relation and the garment production quality optimization parameters;
and the global optimization module is used for performing global optimization on the parameter optimization layer in a production parameter optimization space based on a quality optimization fitness function and outputting production chain configuration parameter information.
Further, the system further comprises:
the analysis effect verification module is used for verifying the analysis effect of the garment quality production control model to obtain the model analysis accuracy;
the model analysis deviation degree acquisition module is used for acquiring the model analysis deviation degree based on the difference value between the model analysis accuracy degree and the preset analysis accuracy degree if the model analysis accuracy degree does not reach the preset analysis accuracy degree;
and the iterative update module is used for iteratively updating the clothing quality production control model based on the model optimization algorithm and the model analysis deviation degree to obtain the clothing quality production optimization control model.
Further, the system further comprises:
the progress tracking module is used for tracking the progress of the production order information to obtain the order real-time production progress information;
the system comprises a preset production stage target acquisition module, a preset production stage target acquisition module and a control module, wherein the preset production stage target acquisition module is used for acquiring a preset production stage target according to production order information;
the production target completion acquisition module is used for acquiring the production target completion based on the order real-time production progress information and a preset production stage target;
and the configuration parameter information adjusting module is used for adjusting the configuration parameter information of the production chain based on the completion degree of the production target.
Further, the system further comprises:
the production equipment information acquisition module is used for acquiring the clothing production equipment information of the target production enterprise;
the equipment information state monitoring module is used for monitoring the state of the clothing production equipment information to obtain the state information of the production equipment;
the equipment early warning marking module is used for sending out an equipment early warning mark when the state information of the production equipment is a fault;
and the configuration parameter information correction module is used for correcting the configuration parameter information of the production chain based on the equipment early warning mark.
In the present specification, through the foregoing detailed description of the method for managing quality of clothing based on a flexible production chain, it is clear to those skilled in the art that a method and a system for managing quality of clothing based on a flexible production chain in the present embodiment are disclosed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for managing quality of garments based on a flexible production chain, the method comprising:
obtaining historical clothing production data information based on big data, wherein the historical clothing production data information comprises production chain configuration information and product production quality information of historical order information;
obtaining a production chain configuration-product quality mapping relation according to the production chain configuration information and the product production quality information;
obtaining production basic information of a target production enterprise;
constructing a clothing quality production control model by a digital twinning technology based on the production chain configuration-product quality mapping relation and the production basic information;
obtaining production order information, and performing demand analysis on the production order information to obtain order production demand information;
inputting the order production demand information into the clothing quality production control model for simulation analysis to obtain production chain configuration parameter information;
and carrying out flexible production management on the production order information based on the production chain configuration parameter information.
2. The method of claim 1, wherein obtaining order production demand information comprises:
obtaining an order demand index set, wherein the order demand index set comprises clothing demands, completion time limit and total task volume;
constructing an order demand coordinate system according to the order demand index set, wherein the order demand coordinate system is a multidimensional stereo coordinate system;
inputting the production order information into the order demand coordinate system to obtain an order demand vector;
obtaining order demand parameter information based on the order demand vector;
and determining the order production demand information based on the order demand parameter information.
3. The method of claim 1, wherein the obtaining production chain configuration parameter information comprises:
the clothing quality production control model comprises an input layer, a parameter configuration layer, a simulation evaluation layer, a parameter optimization layer and an output layer;
inputting the order production demand information into the parameter configuration layer through the input layer to obtain production chain initial parameter information;
performing simulation evaluation on the initial parameter information of the production chain based on the simulation evaluation layer to obtain the evaluation information of the production quality of the clothing;
inputting the initial parameter information of the production chain and the garment production quality evaluation information into the parameter optimization layer for optimization to obtain the configuration parameter information of the production chain, and outputting the configuration parameter information of the production chain based on the output layer.
4. The method of claim 3, wherein said inputting said production chain initial parameter information and said garment production quality assessment information into said parameter optimization layer for optimization comprises:
taking the difference value between the garment production quality evaluation information and a preset garment quality requirement as a garment production quality optimization parameter;
obtaining a production parameter optimizing space based on the production basic information;
determining a quality optimization fitness function according to the production chain configuration-product quality mapping relation and the clothing production quality optimization parameters;
and the parameter optimization layer performs global optimization in the production parameter optimization space based on the quality optimization fitness function and outputs the production chain configuration parameter information.
5. The method of claim 1, wherein the method comprises:
verifying the analysis effect of the garment quality production control model to obtain the model analysis accuracy;
if the model analysis accuracy does not reach the preset analysis accuracy, obtaining a model analysis deviation degree based on the difference value between the model analysis accuracy and the preset analysis accuracy;
and iteratively updating the clothing quality production control model based on a model optimization algorithm and the model analysis deviation degree to obtain the clothing quality production optimization control model.
6. The method of claim 1, wherein the method comprises:
carrying out progress tracking on the production order information to obtain order real-time production progress information;
obtaining a preset production stage target according to the production order information;
obtaining the completion degree of a production target based on the order real-time production progress information and the preset production stage target;
and adjusting the configuration parameter information of the production chain based on the completion degree of the production target.
7. The method of claim 1, wherein the method comprises:
acquiring the clothing production equipment information of the target production enterprise;
monitoring the state of the clothing production equipment information to obtain the state information of the production equipment;
when the state information of the production equipment is a fault, sending an equipment early warning mark;
and correcting the configuration parameter information of the production chain based on the equipment early warning mark.
8. A garment quality management system based on a flexible production chain, the system comprising:
the historical information acquisition module is used for acquiring historical garment production data information based on big data, and the historical garment production data information comprises production chain configuration information and product production quality information of historical order information;
the mapping relation obtaining module is used for obtaining a mapping relation between production chain configuration and product quality according to the production chain configuration information and the product production quality information;
the production basic information acquisition module is used for acquiring the production basic information of a target production enterprise;
a quality production control model construction module for constructing a clothing quality production control model by a digital twin technique based on the production chain configuration-product quality mapping relationship and the production basis information;
the production order information processing module is used for obtaining production order information, carrying out demand analysis on the production order information and obtaining order production demand information;
the simulation analysis module is used for inputting the order production demand information into the clothing quality production control model for simulation analysis to obtain production chain configuration parameter information;
and the flexible production management module is used for carrying out flexible production management on the production order information based on the production chain configuration parameter information.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116071500A (en) * | 2023-02-15 | 2023-05-05 | 江苏虎豹集团有限公司 | Clothing design method and system based on 3D modeling |
| CN116307636A (en) * | 2023-05-17 | 2023-06-23 | 彼图科技(青岛)有限公司 | Intelligent regulation and control method and system for intelligent tool cabinet terminal |
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| CN116071500A (en) * | 2023-02-15 | 2023-05-05 | 江苏虎豹集团有限公司 | Clothing design method and system based on 3D modeling |
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| CN116307636A (en) * | 2023-05-17 | 2023-06-23 | 彼图科技(青岛)有限公司 | Intelligent regulation and control method and system for intelligent tool cabinet terminal |
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