CN114819585A - Textile industry production order information management method and system - Google Patents
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Abstract
The application discloses a textile industry production order information management method and system, wherein an order production plan is generated according to an order information set; analyzing order parameters of the order information set, determining order parameters, and generating an order mark based on the order parameters to mark the order; acquiring order management parameter setting information; acquiring matching parameter information according to the order management parameter setting information, the order mark and the order production plan; performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information; determining order processing priority based on the order parameter weight information; and carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information. The method solves the technical problems that the intelligent degree of management of production orders in the prior art is low, the order distribution management is carried out manually, and the production and processing efficiency is influenced.
Description
Technical Field
The application relates to the technical field of data analysis, in particular to a textile industry production order information management method and system.
Background
In the home textile and clothing processing industry, orders are often characterized by large volume and short delivery period, and how to reasonably arrange a production plan has important significance for finishing the orders in the delivery period under the inherent conditions of production equipment and manpower. At present, in the setting of a production plan, a management department is mainly adopted to customize according to the time sequence of orders, and the rationality and the income of the production plan are not guaranteed.
The above-mentioned techniques have been found to have at least the following technical problems:
the intelligent degree of management of production orders in the prior art is low, and the technical problem of influencing the production and processing efficiency exists by manually managing the order distribution.
Disclosure of Invention
The application aims to provide a textile industry production order information management method and system, which are used for solving the technical problems that in the prior art, the intelligent degree of management of production orders is low, the order distribution management is carried out manually, and the production and processing efficiency is influenced. The technical effects that the label management rule is established for the order, the identification and processing efficiency of the order is improved, the production order is optimally managed according to the set order optimization parameter requirement, the smooth production and processing are ensured, and the processing efficiency and the yield are improved are achieved.
In view of the above problems, the present application provides a method and a system for managing production order information in textile industry.
In a first aspect, the present application provides a method for managing production order information in textile industry, the method including: obtaining an order information set, and generating an order production plan according to the order information set; analyzing order parameters of the order information set, determining order parameters, and generating an order mark based on the order parameters to mark an order; acquiring order management parameter setting information; acquiring matching parameter information according to the order management parameter setting information, the order mark and the order production plan; performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information; determining order processing priority based on the order parameter weight information; and carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information.
In another aspect, the present application further provides a textile industry production order information management system, configured to execute the textile industry production order information management method according to the first aspect, where the system includes:
the first obtaining unit is used for obtaining an order information set and generating an order production plan according to the order information set;
the first execution unit is used for carrying out order parameter analysis on the order information set, determining order parameters and generating order marks based on the order parameters to mark orders;
a second obtaining unit, configured to obtain order management parameter setting information;
a third obtaining unit, configured to obtain matching parameter information according to the order management parameter setting information, the order mark, and the order production plan;
the first determining unit is used for performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information;
a second determining unit configured to determine an order processing priority based on the order parameter weight information;
and the fourth obtaining unit is used for carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information.
In a third aspect, the present application further provides a textile industry production order information management system, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
In a fourth aspect, the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspects.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application discloses a textile industry production order information management method and system, which comprises the steps of obtaining an order information set and generating an order production plan according to the order information set; analyzing order parameters of the order information set, determining order parameters, generating an order mark based on the order parameters to mark the order, and quickly identifying and processing the order; acquiring order management parameter setting information to be adjusted and optimized; matching the order in the order production plan according to the order management parameter setting information and the order mark corresponding to the order to obtain matching parameter information; performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information; the higher the order parameter weight information is, the higher the importance and the adjustment requirement of the order are, the higher the order processing priority is; the orders in the order production plan are subjected to production management according to the order processing priority to obtain production order management information, the technical effects that label management rules are established for the orders, the order identification and processing efficiency is improved, the production orders are subjected to optimized management according to set order optimization parameter requirements, the smooth production and processing is ensured, and the processing efficiency and the yield are improved are achieved, so that the technical problems that the production order management intelligence degree is low, the order distribution management is carried out manually and the production and processing efficiency is influenced in the prior art are solved.
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
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for managing production order information in textile industry according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a textile industry production order information management system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a first executing unit 12, a second obtaining unit 13, a third obtaining unit 14, a first determining unit 15, a second determining unit 16, a fourth obtaining unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides a textile industry production order information management method and system, and solves the technical problems that in the prior art, the intelligent degree of management of production orders is low, order distribution management is carried out manually, and production and processing efficiency is affected.
In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
The technical scheme provided by the application has the following general idea:
generating an order production plan according to the order information set; analyzing order parameters of the order information set, determining order parameters, and generating an order mark based on the order parameters to mark an order; acquiring order management parameter setting information; acquiring matching parameter information according to the order management parameter setting information, the order mark and the order production plan; performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information; determining order processing priority based on the order parameter weight information; and carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information. The technical effects that the label management rule is established for the order, the identification and processing efficiency of the order is improved, the production order is optimally managed according to the set order optimization parameter requirement, the smooth production and processing are ensured, and the processing efficiency and the yield are improved are achieved.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
Referring to fig. 1, an embodiment of the present application provides a method for managing production order information in textile industry, where the method includes:
step S100: and obtaining an order information set, and generating an order production plan according to the order information set.
Specifically, the order information set is all the order information to be processed of the current processing plant, including long-term orders and short-term orders. The order information in the order information set can be obtained by extracting the input order information through the existing order management system of the enterprise at present, or the order is subjected to extraction and conversion of images and characters, corresponding order information is produced, all the order information is collected to obtain the order information set, and an order production plan is generated according to the order information set, wherein the order production plan comprises order price, cooperative enterprise, order quantity, product information, delivery time, payment method, contact person and the like.
And determining the processing sequence and the production order production plan according to the processing time requirement of the order information centralized order, wherein the order production plan is a production processing plan set according to the time sequence.
Step S200: and analyzing order parameters of the order information set, determining order parameters, and generating an order mark based on the order parameters to mark the order.
Further, the analyzing the order parameter of the order information set, determining the order parameter, and generating an order mark based on the order parameter to mark the order includes: obtaining order basic information based on the order information set, wherein the order basic information comprises order customer information, order product information, order quantity information and order date information; determining a customer partition characteristic requirement according to the order customer information, and performing characteristic partition on the order customer based on the customer partition characteristic requirement to obtain a customer characteristic label; determining a product division characteristic requirement according to the order product information, and performing characteristic division on the order product based on the product division characteristic requirement to obtain a product characteristic label; determining quantity grading requirements according to the order quantity information, and grading the order quantity based on the quantity grading requirements to obtain quantity grading labels; determining a time limit cycle division requirement according to the order date information, and dividing the order date based on the time limit cycle division requirement to obtain a time limit division label; and marking the order according to the customer characteristic label, the product characteristic label, the quantity division label and the time limit division label, and determining order marking information.
Specifically, order parameters in an order information set are analyzed, attributes of orders are determined, corresponding marking characters are set for each order parameter, the setting of the marking characters is set according to types and characteristics of enterprise orders, a setting rule mapping table of order marks is correspondingly set, the mapping relation between each parameter and each character is included, the marks can be in the forms of numbers, letters, codes, character combinations and the like, the types and the attributes of the orders are set, for example, lc is used for long-term orders, sc is used for short-term orders and the like, and order information is marked by the order marks, so that rapid identification and processing of subsequent systems are facilitated.
Optionally, the basic information of the order is analyzed according to an order information set, the order basic information in the embodiment of the present application includes order customer information, order product information, order quantity information, and order date information, different requirements exist when orders are made for different enterprises, different product characteristics, and different processing requirements, and the corresponding basic information included in the order is different, so that specific basic information is set and increased or decreased according to the order condition in the order information set in the embodiment, and the set basic information is the traditional basic content in the order of home textiles and services. And performing feature division according to the classification conditions corresponding to different information, and producing the identification content corresponding to the parameter type according to the division feature requirement.
Illustratively, for order customer information, mainly considering the difference of customer types, classifying the customers, such as old customers who cooperate for a long time, relationship customers, government departments, scattered households and the like, determining the customer types which need to be distinguished according to the customer characteristics of enterprises, generating corresponding customer characteristic labels according to the customer division requirements, and quickly identifying the attributes and types of the customers through the customer characteristic labels. And similarly, corresponding product division requirements such as process difficulty, processing procedures, material attributes, quality requirements and the like are set for order product information according to product characteristic requirements which need to be concerned in processing of processing enterprises, corresponding division contents are set according to specific requirements, and the product characteristic labels are used for identifying the requirements and attributes of the products in the orders. The quantity division labels are set according to the quantity grades of the orders, the time limit division labels are used for marking the processing cycles of the orders, each order can comprise a plurality of labels, the orders meeting the requirements are marked according to the corresponding label contents, the labels are used for marking the orders, the parameters of the orders can be rapidly identified, the order classification management is facilitated, the order management level and the order management efficiency are improved, and a foundation is laid for intelligent processing by using a computer system.
Step S300: and obtaining order management parameter setting information.
Further, the obtaining of the order management parameter setting information includes: obtaining an order production information set according to the order information set; local production information is obtained; obtaining a matching result according to the order production information and the local production information; obtaining production difference information based on the matching result; and obtaining the order management parameter setting information according to the production difference information.
Specifically, the order management parameter setting information is a set parameter management requirement, the order management parameter setting information is not fixed, and can be selectively set according to requirements, and the parameter setting is performed according to the current processing state of the processing enterprise and the target to be managed. When order generation management operation is required, corresponding optimization parameter information required to be optimized and pursued is selected and entered through a management system. The method can also be set as automatic analysis matching, wherein the automatic analysis matching is to optimize the most concerned or shortage resources according to the current production state of the processing enterprise, automatically generate corresponding order management parameter setting information by collecting the current production and processing state data of the enterprise and analyzing the data content needing to be adjusted and optimized according to the enterprise data, and analyze the corresponding order management parameter setting information by taking the minimum production cost and the shortest period of the enterprise as target setting quantity when the enterprise has no short-term resource or special problems such as equipment failure, overhaul and the like.
Optionally, the production parameters of all orders in the order information set are analyzed, the order production information set is the production parameters matched with the order required for processing, such as the production flow, production equipment and the like of the order product, and the local production information is the equipment processing yield, the type of the processing equipment, the number of the processing equipment and the personnel matching number of the processing enterprise; the method comprises the steps of matching demand in order production information with supply in local production information, calculating difference between the demand and the supply in the order production information, wherein the production difference information is a difference between the order demand production information and the order processing supply production information existing in order processing of a processing enterprise, if the production difference information is positive, the processing enterprise is rich in supply, if the production difference information is negative, the processing enterprise is lack of supply, the processing enterprise can perform precondition and adjustment on subsequent important orders which are rich, and if the production difference information is not rich, the importance can be adjusted backwards to guarantee a set parameter target, and the production difference information comprises specific difference parameters and difference values. The corresponding adjustment is carried out according to the parameter requirement of the difference value existing in the production difference information, so that specific optimization and analysis are carried out aiming at the difference parameter, the order management parameter setting information is set to be the production parameter with the difference, and the order management parameter setting information can be single or multiple.
Step S400: and obtaining matching parameter information according to the order management parameter setting information, the order mark and the order production plan.
Specifically, the production parameter information for optimizing and adjusting the demand in the order management parameter setting information, the specific adjustment time information and the adjustment amount information of the parameter to be adjusted in the order management parameter setting information are determined according to the processing time period of the order, the determination of the order management parameter setting information comprises the value requirement and the adjustment time requirement of parameter adjustment, if one device needs to be overhauled and the productivity is insufficient in the overhauling time, the corresponding adjustment needs to be carried out according to the order condition in the time period, the adjustment parameter requirement in the order management parameter setting information is matched with the order mark in the order production plan, and the description content of the order information of each order through the order mark comprises the processing time, the order amount, the order product type, the production cost and the like of the order, The processing requirements and the like are marked by using the marks, parameter information needing to be adjusted in the order management parameter setting information is used for performing parameter matching with the order marks, which orders meet the adjustment requirements in the order management parameter setting information is found, and the matching parameter information comprises the matched order information and each attribute label of the orders.
Step S500: and performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information.
Further, the performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information includes: obtaining the production difference information based on the order management parameter setting information, wherein the production difference information comprises difference production information and production difference values; obtaining a parameter weight value according to the difference production information and the production difference value; obtaining matching parameter order information according to the matching parameter information; extracting parameter data according to the matching parameter order information, and constructing a parameter judgment matrix; performing order parameter analysis on the parameter judgment matrix to obtain order importance weight; and obtaining the order parameter weight information according to the parameter weight value and the order importance weight.
Specifically, the parameter weight information of each order is determined based on the management requirements in the order management parameter setting information and the parameter weight analysis of the order in the matching parameter information, and which orders need to be adjusted or the adjustment range is selected according to the order parameter weight information.
Optionally, when performing weight analysis, weight analysis is performed on the requirement of the management parameter in the order management parameter setting information and the target determination or the difference value of the difference parameter, and for a large weight value corresponding to a parameter with a large difference value, during calculation, the difference value of each parameter is used as its base value, all the difference values are accumulated to obtain a total value, the base value of each parameter is divided by the total value, the obtained ratio is used as the weight value of the setting parameter, and the weight calculation result is used as the parameter weight value. And determining information of the matched related orders by using the matched matching parameter information, converting all marks of the orders into parameter data, constructing a parameter judgment matrix by using the correspondence of the parameter data, performing weight operation by using data in the parameter judgment matrix to obtain a weight value of each order, wherein the weight value is used for judging the importance degree of the order, namely an order importance weight, and finally performing mean value operation according to the order importance weight and the parameter weight value to obtain a weight mean value as order parameter weight information of the order.
Step S600: and determining order processing priority based on the order parameter weight information.
Step S700: and carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information.
Specifically, the larger the weight is, the higher the importance of the order is, priority consideration is performed, the higher the corresponding priority is, so that the order processing priority and the order parameter weight information are in a utilization relationship, priority setting is performed on all corresponding orders according to the height of the weight value, specifically, all matching parameter orders are sorted according to the size of the weight value, the priority is determined according to the sorted position, optionally, the priority of the first order is 1, the priority of the second order is 2, and so on. Or the weight value is correspondingly set as the priority, namely the weight is set to be 15%, the priority value is set to be 15%, when the priority is selected, the selection is carried out according to the size of the weight value, and the larger the weight value is, the higher the priority is. The order in the order production plan is adjusted according to the order processing priority to meet the requirements in order management parameter setting information, the production order is optimized and managed, the production processing requirements are guaranteed to be met, the label management rule is established for the order, the order identification and processing efficiency is improved, the production order is optimized and managed according to the set order optimization parameter requirements, the production processing is guaranteed to be smoothly carried out, the technical effect of improving the processing efficiency and the yield is achieved, and the technical problems that in the prior art, the production order management intelligence degree is low, the order distribution management is carried out manually, and the production processing efficiency is affected are solved.
Further, the method further comprises: obtaining relevant information of production cost according to the production order management information; obtaining a related cost database according to the related production cost information; performing trend analysis on the related cost database to obtain related cost prediction information; obtaining a processing recommendation node according to the related cost prediction information; matching the order management time in the processing recommendation node and the production order management information to obtain a matching deviation value; and obtaining order adjustment information according to the matching deviation value, the processing recommendation node and the production order management information.
Specifically, the profit of the processing enterprise is directly influenced by the level of the production cost, although the processing cost is considered when the order is signed, the order execution has certain variables, such as cost, equipment maintenance, manpower and the like, which all generate redundant cost, how to control the cost to ensure the profit of the enterprise, the embodiment of the application considers the problem of cost variation, analyzes the information related to the production cost according to the processing time of each order in the production order management information and the corresponding order content, the information related to the production cost is the cost generated in executing the production order, including manpower, materials, logistics and the like, respectively carries out predictive analysis by using the parameter content in the information related to the production cost, judges the variation trend of the cost in the production cycle, analyzes the time node of the variation trend by combining the production processing node in the production order management information, judging whether the order meets the cost control requirement and the income requirement, if the order needs to be transported in logistics, the logistics price tends to rise, aiming at the position interval of the rising amplitude and the time arrangement of processing, adjusting the order to be before the price rises, the cost of the part can be reduced, if the corresponding material cost in the order has the trend of falling, adjusting the order to be the price fall according to the descending prediction node and then processing the order, so that the cost is reduced, and the income of enterprises is improved.
Optionally, when cost prediction is performed, a machine learning model is used for prediction analysis, a related cost database, namely a historical database, is used for determining training data, the built prediction model is trained by using the training data, a data relation in the training data is trained through machine learning, meanwhile, a model is supervised, learned and optimized and verified by using an identification result in the training data, the prediction model meets the accuracy requirement through continuous learning and optimization of multiple groups of training data, training is completed, the current related cost information is analyzed and predicted by using the prediction model, and a corresponding prediction result is output.
Determining the development trend of related cost and time variation nodes according to the prediction result, determining the time requirement and operation content of production adjustment according to the time variation nodes, generating corresponding processing recommendation nodes, wherein the processing recommendation nodes comprise recommended processing time information, and obtaining a matching deviation value according to the matching of the processing recommendation nodes and the order management time in the production order management information, wherein the matching deviation value is regularly later than the recommendation time, and the matching deviation value is negative and is earlier than the recommendation time; and calculating the direction and time length to be adjusted according to the matching deviation value and the processing recommendation node, judging by combining with the order requirement in the production order management information, if the adjusted direction and time length meet the delivery requirement of the order and the adjusted time position has no influence on other orders, adjusting the corresponding order in the production order management information according to the adjusted direction and time length to obtain order adjustment information. If the order delivery time requirement in the production order management information is not met, no adjustment is performed.
Further, obtaining order adjustment information according to the matching deviation value, the processing recommended node, and the production order management information, including: obtaining an order processing scheme according to the production order management information; obtaining a processing adjustment node requirement according to the matching deviation value; matching the processing time in the order processing scheme based on the processing adjustment node requirement to obtain matched order information, wherein the matched order information comprises matched order quantity information and matched order time information; based on the relevant cost prediction information, obtaining adjustment influence information according to the matched order quantity information and the matched order time information; and obtaining the order adjustment information based on the processing adjustment node requirement according to the adjustment influence information and the matched order quantity information.
Specifically, according to an order processing scheme set in the production order management information, the order processing scheme is how orders are produced and arranged, the order processing time arrangement and sequence, equipment application and the like are determined according to a matching deviation value, a processing adjustment node requirement is a specific requirement of a corresponding adjustment direction and time length, processing time is matched in the order processing scheme according to an adjustment time range requirement, and matched order information, namely all order information in the time needing to be adjusted is found, wherein the matched order information comprises the order information needing to be adjusted, namely information having influence on predicted cost change, and the order information conflicting with the adjustment time. And judging whether the adjusted order has influence on the completion time of the order and other orders according to the cost change condition in the related cost prediction information, wherein the adjustment influence information comprises the influence of the adjustment order and the influence of the adjustment order on other conflicting orders, and carrying out specific adjustment according to the specific influence condition in the adjustment influence information.
Illustratively, if the adjustment order is required to meet the order time delivery requirement according to the requirement of the processing adjustment node and has no conflict with other orders, the order is correspondingly adjusted according to the requirement of the processing adjustment node, if the adjustment order is required to meet the order time delivery requirement according to the requirement of the processing adjustment node and has conflict with other orders, the forecast analysis of time limit requirement and related cost is further carried out on the conflicting orders, and if the time limit requirement and the cost requirement can be adjusted, the time of the order is exchanged with the order of the conflict time part of the adjustment order. Determining an adjusting direction and time length according to the matching deviation value and the processing recommendation node, analyzing the adjusting direction and time length, the delivery requirement of the order in the production order management information and other order conditions in a corresponding time range, combining the order information in the generated order management information to customize a corresponding scheme, and generating order adjustment information according to the determined adjusting scheme, wherein the order adjustment information is used for adjusting the corresponding order in the order management information according to the adjusting requirement in the generated order adjustment information. The method achieves the technical effects of carrying out optimization management on the production orders according to the cost prediction results in the orders so as to guarantee the order delivery requirements and simultaneously improve the processing income of enterprises.
Further, the method further comprises: obtaining historical production order record information; according to the historical production order record information, taking order production progress information as state information, taking production arrangement information as action information, and taking an order completion rate corresponding to the state information and the action information as a reward value to construct an order completion evaluation model; inputting the production order management information into the order completion evaluation model to obtain an evaluation result; when the evaluation result meets the preset order production requirement, determining the production order management information; and when the evaluation result does not meet the preset order production requirement, obtaining production reminding information.
Specifically, in order to further determine the reliability of the production order management information, the order production scheme in the production order management information is evaluated by constructing an order completion evaluation model, the order completion evaluation model is a machine learning model, the processing scheme of each time node has an influence on the completion condition of the order due to the fact that the order completion process has a time sequence, the order completion state, namely order production progress information is used as state information, the production arrangement information in the processing plan is used as action information, the setting of the production quantity processing requirement in the processing arrangement can have an influence on the completion state of the order, the order completion rate is used as a reward value, and the historical production order record information is a historical production record of a local enterprise under the condition that the existing personnel and equipment are not changed, wherein the historical production record comprises the processing plan, the equipment and the historical production record, And (3) training the model according to the data setting requirement of the order completion evaluation model on all the specific data of the processing completion condition, so that the model has the effect of accurately processing the data, inputting the production arrangement data in the production order management information into the order completion evaluation model as input data to obtain a determined reward value in the model, and when the final output reward value meets the processing requirement, indicating that the order completion rate meets the requirement, otherwise, indicating that the order completion rate does not meet the requirement. The preset order production requirement is set according to the signing requirement of an order and the processing requirement of an enterprise, and is usually set to 100%, because home textiles and clothes have certain qualification rate requirements, the preset order production requirement can also be set to 110% according to the qualification rate requirement of historical processing data or the qualification rate requirement signed by a client, and the like, and the preset order production requirement is specifically set according to the order and the processing requirement of the enterprise, and can also be calculated and determined according to historical record data.
Example two
Based on the method for managing the production order information of the textile industry in the foregoing embodiment, the same inventive concept is also provided, and the invention further provides a system for managing the production order information of the textile industry, referring to fig. 2, where the system includes:
the first obtaining unit 11 is configured to obtain an order information set, and generate an order production plan according to the order information set;
the first execution unit 12, the first execution unit 12 is configured to perform order parameter analysis on the order information set, determine an order parameter, and generate an order mark based on the order parameter to mark an order;
a second obtaining unit 13, where the second obtaining unit 13 is configured to obtain order management parameter setting information;
a third obtaining unit 14, where the third obtaining unit 14 is configured to obtain matching parameter information according to the order management parameter setting information, the order mark, and the order production plan;
a first determining unit 15, where the first determining unit 15 is configured to perform parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information;
a second determining unit 16, wherein the second determining unit 16 is configured to determine an order processing priority based on the order parameter weight information;
a fourth obtaining unit 17, where the fourth obtaining unit 17 is configured to perform production management on the orders in the order production plan according to the order processing priority, and obtain production order management information.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain order basic information based on the order information set, where the order basic information includes order customer information, order product information, order quantity information, and order date information;
the second execution unit is used for determining a customer partition characteristic requirement according to the order customer information, and performing characteristic partition on the order customer based on the customer partition characteristic requirement to obtain a customer characteristic label;
the third execution unit is used for determining a product division characteristic requirement according to the order product information, and performing characteristic division on the order product based on the product division characteristic requirement to obtain a product characteristic label;
a fourth execution unit, configured to determine a quantity grading requirement according to the order quantity information, and divide the order quantity based on the quantity grading requirement to obtain a quantity grading label;
a fifth execution unit, configured to determine a time limit cycle division requirement according to the order date information, divide the order date based on the time limit cycle division requirement, and obtain a time limit division label;
and the third determining unit is used for marking the order according to the customer characteristic label, the product characteristic label, the quantity dividing label and the time limit dividing label and determining order marking information.
Further, the system further comprises:
a sixth obtaining unit, configured to obtain an order production information set according to the order information set;
a seventh obtaining unit configured to obtain local production information;
an eighth obtaining unit, configured to obtain a matching result according to the order production information and the local production information;
a ninth obtaining unit configured to obtain production difference information based on the matching result;
a tenth obtaining unit, configured to obtain the order management parameter setting information according to the production difference information.
Further, the system further comprises:
an eleventh obtaining unit, configured to obtain the production difference information based on the order management parameter setting information, where the production difference information includes difference production information and a production difference value;
a twelfth obtaining unit, configured to obtain a parameter weight value according to the production difference value and the production difference information;
a thirteenth obtaining unit, configured to obtain matching parameter order information according to the matching parameter information;
the first construction unit is used for extracting parameter data according to the matching parameter order information and constructing a parameter judgment matrix;
a fourteenth obtaining unit, configured to perform order parameter analysis on the parameter determination matrix, and obtain an order importance weight;
a fifteenth obtaining unit, configured to obtain the order parameter weight information according to the parameter weight value and the order importance weight.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain, according to the production order management information, production cost related information;
a seventeenth obtaining unit, configured to obtain a related cost database according to the production cost related information;
an eighteenth obtaining unit, configured to perform trend analysis on the relevant cost database, and obtain relevant cost prediction information;
a nineteenth obtaining unit configured to obtain a processing recommended node according to the relevant cost prediction information;
a twentieth obtaining unit, configured to obtain a matching deviation value according to matching between the processing recommended node and the order management time in the production order management information;
a twenty-first obtaining unit, configured to obtain order adjustment information according to the matching deviation value, the processing recommended node, and the production order management information.
Further, the system further comprises:
a twenty-second obtaining unit, configured to obtain an order processing scheme according to the production order management information;
a twenty-third obtaining unit, configured to obtain a requirement for processing an adjustment node according to the matching deviation value;
a twenty-fourth obtaining unit, configured to match the processing time in the order processing scheme based on the requirement of the processing adjustment node, and obtain matched order information, where the matched order information includes information on the number of matched orders and information on the time of matched orders;
a twenty-fifth obtaining unit, configured to obtain adjustment influence information according to the matching order quantity information and the matching order time information based on the relevant cost prediction information;
a sixth execution unit, configured to obtain the order adjustment information based on the processing adjustment node requirement according to the adjustment influence information and the matching order quantity information.
Further, the system further comprises:
a twenty-sixth obtaining unit, configured to obtain historical production order record information;
the second construction unit is used for constructing an order completion evaluation model according to the historical production order record information, the order production progress information as state information, the production arrangement information as action information and the order completion rate corresponding to the state information and the action information as a reward value;
a twenty-seventh obtaining unit, configured to input the production order management information into the order completion evaluation model, and obtain an evaluation result;
a fourth determining unit, configured to determine the production order management information when the evaluation result meets a preset order production requirement;
a twenty-eighth obtaining unit, configured to obtain production prompting information when the evaluation result does not meet the preset order production requirement.
In the present specification, each embodiment is described in a progressive manner, and the emphasis of each embodiment is to expect the difference between the embodiments, and the aforementioned method for managing textile industry production order information and the specific example in the first embodiment of fig. 1 are also applicable to the system for managing textile industry production order information in the present embodiment. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
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.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the application.
Based on the inventive concept of the textile industry production order information management method in the foregoing embodiment, the present invention further provides a textile industry production order information management system, on which a computer program is stored, which when executed by a processor implements the steps of any one of the foregoing textile industry production order information management methods.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the same technology as the present invention, it is intended that the present invention encompass such modifications and variations as well.
Claims (10)
1. A textile industry production order information management method is characterized by comprising the following steps:
obtaining an order information set, and generating an order production plan according to the order information set;
analyzing order parameters of the order information set, determining order parameters, and generating an order mark based on the order parameters to mark an order;
acquiring order management parameter setting information;
acquiring matching parameter information according to the order management parameter setting information, the order mark and the order production plan;
performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information;
determining order processing priority based on the order parameter weight information;
and carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information.
2. The method of claim 1, wherein said analyzing the order information set for order parameters, determining order parameters, and generating an order label based on the order parameters for labeling the order comprises:
obtaining order basic information based on the order information set, wherein the order basic information comprises order customer information, order product information, order quantity information and order date information;
determining a customer partition characteristic requirement according to the order customer information, and performing characteristic partition on the order customer based on the customer partition characteristic requirement to obtain a customer characteristic label;
determining a product division characteristic requirement according to the order product information, and performing characteristic division on the order product based on the product division characteristic requirement to obtain a product characteristic label;
determining quantity grading requirements according to the order quantity information, and grading the order quantity based on the quantity grading requirements to obtain quantity grading labels;
determining a time limit cycle division requirement according to the order date information, and dividing the order date based on the time limit cycle division requirement to obtain a time limit division label;
and marking the order according to the customer characteristic label, the product characteristic label, the quantity division label and the time limit division label, and determining order marking information.
3. The method of claim 1, wherein obtaining order management parameter setting information comprises:
obtaining an order production information set according to the order information set;
obtaining local production information;
obtaining a matching result according to the order production information and the local production information;
obtaining production difference information based on the matching result;
and obtaining the order management parameter setting information according to the production difference information.
4. The method of claim 3, wherein determining order parameter weight information by performing a parameter weight operation according to the order management parameter setting information and the matching parameter information comprises:
obtaining the production difference information based on the order management parameter setting information, wherein the production difference information comprises difference production information and production difference values;
obtaining a parameter weight value according to the difference production information and the production difference value;
obtaining matching parameter order information according to the matching parameter information;
extracting parameter data according to the matched parameter order information, and constructing a parameter judgment matrix;
performing order parameter analysis on the parameter judgment matrix to obtain order importance weight;
and obtaining the order parameter weight information according to the parameter weight value and the order importance weight.
5. The method of claim 1, wherein the method further comprises:
obtaining relevant information of production cost according to the production order management information;
obtaining a related cost database according to the related production cost information;
performing trend analysis on the related cost database to obtain related cost prediction information;
obtaining a processing recommendation node according to the related cost prediction information;
matching the order management time in the processing recommendation node and the production order management information to obtain a matching deviation value;
and obtaining order adjustment information according to the matching deviation value, the processing recommendation node and the production order management information.
6. The method of claim 5, wherein obtaining order adjustment information based on the matching deviation value, the processing recommendation node, and the production order management information comprises:
obtaining an order processing scheme according to the production order management information;
obtaining a processing adjustment node requirement according to the matching deviation value;
matching the processing time in the order processing scheme based on the processing adjustment node requirement to obtain matched order information, wherein the matched order information comprises matched order quantity information and matched order time information;
based on the relevant cost prediction information, obtaining adjustment influence information according to the matched order quantity information and the matched order time information;
and obtaining the order adjustment information based on the processing adjustment node requirement according to the adjustment influence information and the matched order quantity information.
7. The method of claim 1, wherein the method further comprises:
obtaining historical production order record information;
according to the historical production order record information, taking order production progress information as state information, taking production arrangement information as action information, and taking an order completion rate corresponding to the state information and the action information as a reward value to construct an order completion evaluation model;
inputting the production order management information into the order completion evaluation model to obtain an evaluation result;
when the evaluation result meets the preset order production requirement, determining the production order management information;
and when the evaluation result does not meet the preset order production requirement, obtaining production reminding information.
8. A textile industry production order information management system, wherein the system is applied to the method of any one of claims 1 to 7, and the system comprises:
the first obtaining unit is used for obtaining an order information set and generating an order production plan according to the order information set;
the first execution unit is used for carrying out order parameter analysis on the order information set, determining order parameters and generating order marks based on the order parameters to mark orders;
a second obtaining unit, configured to obtain order management parameter setting information;
a third obtaining unit, configured to obtain matching parameter information according to the order management parameter setting information, the order mark, and the order production plan;
the first determining unit is used for performing parameter weight calculation according to the order management parameter setting information and the matching parameter information to determine order parameter weight information;
a second determining unit configured to determine an order processing priority based on the order parameter weight information;
and the fourth obtaining unit is used for carrying out production management on the orders in the order production plan according to the order processing priority to obtain production order management information.
9. A textile industry production order information management system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method of any one of claims 1-7.
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| CN202210410477.1A CN114819585A (en) | 2022-04-19 | 2022-04-19 | Textile industry production order information management method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115034525A (en) * | 2022-08-11 | 2022-09-09 | 宝信软件(南京)有限公司 | Steel pipe order production period prediction monitoring system and method based on data analysis |
| CN115578014A (en) * | 2022-11-24 | 2023-01-06 | 浙江工企信息技术股份有限公司 | Process data matching method and system, storage medium and intelligent terminal |
| CN116629552A (en) * | 2023-05-26 | 2023-08-22 | 讯猫软件集团有限公司 | Intelligent industrial management regulation and control system |
| CN117196260A (en) * | 2023-11-03 | 2023-12-08 | 海门市谷丽纺织品有限公司 | Textile order information storage management system |
-
2022
- 2022-04-19 CN CN202210410477.1A patent/CN114819585A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115034525A (en) * | 2022-08-11 | 2022-09-09 | 宝信软件(南京)有限公司 | Steel pipe order production period prediction monitoring system and method based on data analysis |
| CN115578014A (en) * | 2022-11-24 | 2023-01-06 | 浙江工企信息技术股份有限公司 | Process data matching method and system, storage medium and intelligent terminal |
| CN115578014B (en) * | 2022-11-24 | 2023-04-07 | 浙江工企信息技术股份有限公司 | Process data matching method, system, storage medium and intelligent terminal |
| CN116629552A (en) * | 2023-05-26 | 2023-08-22 | 讯猫软件集团有限公司 | Intelligent industrial management regulation and control system |
| CN117196260A (en) * | 2023-11-03 | 2023-12-08 | 海门市谷丽纺织品有限公司 | Textile order information storage management system |
| CN117196260B (en) * | 2023-11-03 | 2024-02-13 | 海门市谷丽纺织品有限公司 | Textile order information storage management system |
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