Automated integrated management method for fashion apparel production linked with overseas manufacturing plants, apparatus and system applied to the same

Abstract

A method, apparatus, and system for the automation of integrated management of fashion clothing production linked to an overseas manufacturing plant are disclosed. The method for the automation of integrated management of fashion clothing production linked to an overseas manufacturing plant according to one embodiment includes, in a fashion clothing production integrated management automation system, providing full-cycle data of fashion clothing related to design planning, product development, production, and delivery, and a step of updating fashion clothing production-related data through access via a web-based interface of a domestic manager or an overseas manufacturing plant manager; a step of creating or modifying a manufacturing management process to be performed in the future based on the updated fashion clothing production-related data; and a step of automatically distinguishing and providing work assignments corresponding to the domestic manager and work assignments corresponding to the overseas manufacturing plant manager for each stage of the manufacturing management process.

Description

Technology Field

[0001] The following embodiments relate to an overseas manufacturing plant-linked fashion clothing production integrated management automation method, apparatus, and system that integrately manages and automates the entire production process of fashion clothing in conjunction with an overseas manufacturing plant. Background Technology

[0002] Conventional fashion apparel production management methods relied primarily on email, messengers, spreadsheets, and limited ERP functions for the collaboration structure between domestic brand headquarters and overseas manufacturing plants. Under this system, data for each process was managed in a decentralized manner, frequently resulting in issues where changes or quality-related information arising during production could not be reflected in real time. In particular, discrepancies were frequent between specifications finalized during the design planning stage and those implemented at the actual production site, leading to consequences such as delivery delays, increased costs, and quality degradation.

[0003] Most overseas manufacturing plants use different languages, units, and process notation methods, and also differ in production environments, equipment levels, and work standards. Because these heterogeneous elements cannot be automatically coordinated within an integrated management system, errors in data interpretation frequently occurred between domestic managers and managers at overseas plants. For example, even identical work items were managed under different unit systems locally, or the same sewing process was denoted by different code names, leading to a failure to match data. This issue was particularly pronounced due to the nature of the fashion industry, where product specifications change frequently, and the same inefficiencies were repeated every season whenever new items were added.

[0004] Furthermore, most conventional production management systems operated as single-function platforms, such as ERP (Enterprise Resource Planning) or PLM (Product Lifecycle Management), which limited data management to only certain stages of the production process. Since ERP focuses on accounting and inventory management functions, and PLM emphasizes product planning and design change history management, it was difficult to integrate real-time data from operational stages—such as production progress at overseas factories, quality inspection results, logistics status, and customs procedures—in the real time. Consequently, the lack of integration between systems resulted in the inconvenience of the same data being entered manually multiple times or requiring managers to perform duplicate checks.

[0005] In such a decentralized management system, ensuring data consistency is difficult, and the speed of decision-making between processes is inevitably slow. For example, when quality defects were discovered at overseas manufacturing plants, information was not immediately transmitted to headquarters, frequently resulting in issues being recognized only after the next production stage had already begun. This led to increased rework and waste rates, disruptions to delivery schedules, and a negative impact on brand credibility.

[0006] Meanwhile, since local labor environments, wage systems, production unit costs, and delivery lead times at overseas manufacturing plants vary by region, the accuracy of cost estimation decreases if these factors are not reflected in real-time. Traditionally, this data was managed in separate Excel spreadsheets or independent systems, and the structure involved manually calculating cost results and inputting them into the headquarters' ERP system in bulk. Consequently, it was difficult to respond immediately to external factors such as fluctuations in raw material prices, rising logistics costs, or exchange rate changes, and the reliability of profitability analysis also declined.

[0007] Furthermore, various inefficiencies existed in the customs clearance and logistics processes. Since tariff rates, HS code classifications, and customs document forms varied by country, personnel were required to collect the relevant information and manually prepare invoices and packing lists for each occasion. This manual process involved simple, repetitive tasks that not only required a large workforce but also posed risks such as customs delays and returns due to typos or omissions. Particularly in the fashion industry, which features a multi-product, small-batch production structure where hundreds of shipments occur every season, the cumulative workload and cost burden resulting from this process were significant.

[0008] Conventional technology also lacked a structure capable of integrally managing production and logistics data. It was difficult to directly utilize data generated during the production process at the customs clearance and logistics stages, and system integration with logistics companies was mostly done through manual input. Consequently, the disconnection of information flow between departments made it difficult to monitor overall progress in real time and limited the ability to quickly trace the causes of delays in specific processes.

[0009] Ultimately, it was difficult to secure both production efficiency and quality stability simultaneously in this structure, and

[0010] Even from the perspective of the brand headquarters, there was a fundamental limitation in that visibility and traceability of the entire process could not be secured.

[0011] Consequently, in the fashion industry environment based on global supply chains, there has been a persistent need for a system capable of linking domestic headquarters with overseas manufacturing plants in real time, eliminating discrepancies in multinational data, and organically integrating the management of production, quality, cost, and customs clearance.

[0012] Accordingly, measures to resolve the aforementioned problems are required. Prior art literature

[0013] Republic of Korea Published Patent Application No. 10-2024-0008150 (Published Jan. 18, 2024) The problem to be solved

[0014] The embodiments provide an automated method, apparatus, and system for integrated management of fashion clothing production linked to overseas manufacturing plants, which enables consistent quality and efficiency even in heterogeneous production environments across countries by linking overseas manufacturing plants and domestic managers in real time and managing data throughout the entire lifecycle of fashion clothing, from the design planning stage to production, quality inspection, delivery, and customs clearance.

[0015] Furthermore, the embodiments provide a method, device, and system for automating integrated management of fashion apparel production linked to overseas manufacturing plants, which resolves data inconsistency issues arising during multinational production collaboration by automatically recognizing the input data point and process location of a domestic manager or an overseas manufacturing plant manager, dynamically generating and modifying the entire or partial manufacturing management process, and automatically detecting and standardizing differences in language, units, and process notation methods.

[0016] Furthermore, the embodiments provide a method, device, and system for the automated integrated management of fashion apparel production linked to overseas manufacturing plants, which enables rapid and accurate cost and customs clearance management without human intervention by automatically analyzing the BOM structure based on data such as fabric consumption, labor time, and logistics travel distance collected during the production process to calculate fabric consumption and costs in real time, and automatically generating invoices and customs documents linked to country-specific tariff rates and logistics costs. means of solving the problem

[0017] A method for automating integrated management of fashion clothing production linked to an overseas manufacturing plant according to one embodiment includes, in a fashion clothing production integrated management automation system, providing full-cycle data of fashion clothing related to design planning, product development, production, and delivery, and updating fashion clothing production-related data through access via a web-based interface of a domestic manager or an overseas manufacturing plant manager; creating or modifying a manufacturing management process to be performed in the future based on the updated fashion clothing production-related data; and automatically distinguishing and providing work assignments corresponding to the domestic manager and work assignments corresponding to the overseas manufacturing plant manager for each stage of the manufacturing management process.

[0018] In addition, in the fashion clothing production integrated management automation method linked to an overseas manufacturing plant according to one embodiment, the fashion clothing production integrated management automation system is built on a domestic management server or a cloud server and includes a database in which fashion clothing production-related data entered from a web-based interface of the domestic manager and the overseas manufacturing plant manager is synchronized in real time. The database is classified and stored in a multidimensional structure by production stage, raw materials, process, quality inspection, customs clearance, and logistics items, and update history (Log) is automatically recorded for each item, so that it can be automatically tracked and restored when the process changes.

[0019] In addition, in the method for automating integrated management of fashion clothing production linked to an overseas manufacturing plant according to one embodiment, the step of creating or modifying the manufacturing management process is configured such that, if the data entered through the web-based interface of the domestic manager or the overseas manufacturing plant manager corresponds to the initial stage of the manufacturing management process, the entire manufacturing management process is created or the already created entire manufacturing management process is modified based on the input data, and if the data entered corresponds to the stage in progress of the manufacturing management process, a partial manufacturing management process is created or modified based on the input data to perform the process after the stage in progress. Furthermore, the method may be characterized by automatically recognizing the data input time and the process progress location to dynamically control the scope of creation and modification of the entire or partial manufacturing management process, and by analyzing the input data of the domestic manager or the overseas manufacturing plant manager to automatically detect differences in the language, unit, specification, and process notation method of work items, and by automatically converting each item into a mutually compatible standardized format using a pre-stored multilingual and multi-unit mapping table, the entire or partial manufacturing management process is automatically reconstructed based on a standardized data structure.

[0020] In addition, in the method for automating integrated management of fashion clothing production linked to an overseas manufacturing plant according to one embodiment, the step of automatically classifying and providing tasks for each process of the manufacturing management process may be characterized by setting the required technology group, equipment type, delivery priority, labor cost index by production location, and processing history data of the person in charge for each process as weight parameters based on the creation or modification results of the entire or partial manufacturing management process, classifying and assigning a first related task corresponding to the domestic manager and a second related task corresponding to the overseas manufacturing plant manager in real time according to an automatic matching algorithm based on the said weights, and, in the event that a change or modification of the process occurs, automatically recalculating and updating the task assignment results only for the modified section.

[0021] In addition, in the method for automating integrated management of fashion clothing production linked to an overseas manufacturing plant according to one embodiment, the step of generating integrated management data based on result data of the manufacturing management process may be characterized by hierarchically analyzing fabric consumption, labor time, raw material usage, quality inspection results, and logistics movement distance data collected for each process according to a Bill of Materials (BOM) structure, automatically calculating real-time fabric consumption and cost per product unit based on the analysis results, automatically generating and printing invoices and customs documents corresponding to the calculation results by linking with a database of customs rates and logistics costs by country, and automatically sharing and saving the generated customs documents and invoices through a web-based interface of the domestic manager and the overseas manufacturing plant manager. Effects of the invention

[0022] The embodiments enable overseas manufacturing plants and domestic managers to share data in real time and manage production stages through the same integrated management system, thereby minimizing information discrepancies caused by differences in national languages, units, and work standards, and effectively preventing communication errors between processes or delivery delays.

[0023] In addition, the embodiments automatically recognize the data input point and the process progress location to dynamically generate and modify the entire or partial manufacturing management process, thereby enabling immediate response at the partial level without the need to reset the entire system even if partial changes occur during the production process, and consequently, have the effect of significantly improving production flexibility and operational efficiency.

[0024] Furthermore, since the embodiments can automatically calculate material consumption and costs based on data collected during the production and logistics stages, and automatically generate invoices and customs documents in conjunction with country-specific tariff rates and logistics costs, the cost and customs management procedures that previously relied on manual work are automated, thereby reducing human error and simultaneously ensuring cost reduction and operational reliability. Brief explanation of the drawing

[0025] FIG. 1 is a configuration diagram showing an integrated management automation system for fashion clothing production according to one embodiment. Figure 2 is an example diagram showing an example of the system of Figure 1 in operation. Figure 3 is an illustrative diagram showing another example of the system of Figure 1 in operation. And, FIG. 4 is a flowchart illustrating a method for automating the integrated management of fashion clothing production according to one embodiment. Specific details for implementing the invention

[0026] Hereinafter, embodiments are described in detail with reference to the attached drawings. However, various modifications may be made to the embodiments, and thus the scope of the patent application is not limited or restricted by these embodiments. It should be understood that all modifications, equivalents, and substitutions to the embodiments are included within the scope of the rights.

[0027] Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to the specific disclosed forms, and the scope of this specification includes modifications, equivalents, or substitutions that fall within the technical concept.

[0028] Terms such as "first" or "second" may be used to describe various components, but these terms should be interpreted solely for the purpose of distinguishing one component from another. For example, the first component may be named the second component, and similarly, the second component may be named the first component.

[0029] When it is stated that a component is "connected" to another component, it should be understood that it may be directly connected to or joined to that other component, or that there may be other components in between.

[0030] The terms used in the embodiments are for illustrative purposes only and should not be interpreted as intended to be limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprising" or "having" are intended to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0031] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments pertain. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0032] In addition, when describing with reference to the attached drawings, identical components are assigned the same reference numeral regardless of drawing symbols, and redundant descriptions thereof are omitted. In describing the embodiments, if it is determined that a detailed description of related prior art could unnecessarily obscure the essence of the embodiments, such detailed description is omitted.

[0033] The embodiments can be implemented in various forms of products such as personal computers, laptop computers, tablet computers, smartphones, televisions, smart home appliances, intelligent automobiles, kiosks, and wearable devices.

[0034] FIG. 1 is a configuration diagram showing an integrated management automation system for fashion clothing production according to one embodiment.

[0035] As illustrated in FIG. 1, the overseas manufacturing plant-linked fashion clothing production integrated management automation system (100) comprises: a data management module (110) for managing full-cycle data from planning, development, production, delivery, and customs clearance of fashion clothing; a process creation / modification module (120) that automatically creates or modifies manufacturing management processes based on data stored in the data management module (110) and dynamically controls the scope of creation or modification of the entire or partial manufacturing management process by automatically recognizing the input time and process progress location; and based on the results of the process creation / modification module (120), according to the required technology group, equipment type, delivery priority, and labor cost index by production location for each process

[0036] It includes a task automatic assignment module (130) that automatically classifies and assigns tasks between domestic managers and overseas manufacturing plant managers by applying a weight-based automatic matching algorithm; a fabric consumption / cost automatic calculation module (140) that automatically calculates fabric consumption and cost per product unit in real time by analyzing collected fabric consumption, labor time, raw material usage, quality inspection results, and logistics movement distance data in a BOM (Bill of Materials) structure; and a customs / document automatic generation module (150) that automatically generates, stores, and shares invoices, packing lists, and customs documents by linking with country-specific customs rates, logistics costs, and customs clearance databases based on the calculation results of the fabric consumption / cost automatic calculation module (140).

[0037] Each module of the aforementioned system (100) operates on a server or cloud infrastructure, and domestic administrators and overseas manufacturing plant administrators can connect to each terminal device (200, 300) through a web-based interface to interact with each other.

[0038] The data management module (110) serves as a data hub for the system (100) and collects fashion clothing production-related data input from a web-based interface (160) of a domestic manager or an overseas manufacturing plant manager, classifies it by production stage, raw materials, process, quality inspection, customs clearance, and logistics items, and stores it in a multidimensional structure. This module includes a function to automatically record update history for each item and to track or restore past data when the process changes.

[0039] In addition, it can be implemented as an API gateway structure to support data integration with external systems (ERP, PLM, logistics systems, etc.), and can automatically detect and refine duplicate or erroneous data through data integrity verification functions.

[0040] The process creation / modification module (120) performs the function of automatically creating or modifying a manufacturing management process by analyzing data stored in the data management module (110). This module automatically recognizes the time point and process progress location of the data entered through a web-based interface, and if the input data corresponds to the initial stage of the process, it reconfigures the entire manufacturing management process, and if the input data corresponds to an intermediate stage, it modifies or supplements only the process after that point. In addition, this module can automatically detect differences in language, unit, specifications, and process notation methods of input data between domestic managers and overseas manufacturing plants using multilingual and multi-unit mapping tables, and can reconstruct the entire process into a consistent data structure by converting them into a mutually compatible standardized format.

[0041] According to an embodiment, the process creation / modification module (120) may be configured to be linked with an artificial intelligence (AI) or rule-based learning engine to analyze pattern and efficiency data of past projects, automatically recommend an optimal process for similar processes, or automatically output a warning message when abnormal data is input.

[0042] The task automatic assignment module (130) performs a weight-based automatic matching algorithm based on the results of the process creation / modification module (120), by analyzing the technology group, equipment type, delivery priority, labor cost index by production site, and personnel processing history data required for each process. This algorithm comprehensively considers the characteristics of the process, the proficiency of the personnel, and the characteristics of the production site to automatically classify and assign tasks related to inspection, approval, and customs clearance to domestic managers, and tasks related to production such as cutting, sewing, and packaging to overseas manufacturing plant managers.

[0043] In addition, if a change or modification occurs in the process, work reassignment is performed automatically only for the relevant change section, and the result is reflected in real-time on the web-based interface (160).

[0044] According to an extended embodiment, the task automatic assignment module (130) includes a machine learning-based optimization algorithm to learn production performance data from the previous season and can automatically reconstruct low-efficiency assignment patterns or automatically recommend the most efficient assignment template for future similar projects.

[0045] The fabric consumption / cost automatic calculation module (140) analyzes the fabric consumption, labor time, raw material usage, quality inspection results, and logistics movement distance data collected at each process stage into a Bill of Materials (BOM) structure to automatically calculate real-time fabric consumption and cost per product unit. This module is linked with external databases such as country-specific tariff rates, exchange rates, and logistics costs to automatically correct the calculation results and tracks cost change factors in real time.

[0046] According to one embodiment, this module is linked with CAD-based pattern data to calculate the fabric usage rate based on the nesting layout and can visualize potential fabric reduction areas or efficiency to present to a manager.

[0047] In addition, the results of the consumption and cost calculation can be linked with the work automatic assignment module (130) and used for efficiency analysis by process unit or delivery date readjustment.

[0048] The customs clearance / document automatic generation module (150) automatically generates various documents, such as invoices, packing lists, and import / export declarations, based on the calculation results of the measurement / cost automatic calculation module (140) and by referring to country-specific customs regulations, HS codes, tariff rates, and logistics cost data. The generated documents are shared in real-time with domestic managers and overseas manufacturing plant managers through a web-based interface and can be automatically converted into formats such as PDF and XML to be linked with the electronic customs clearance system via API. This module also includes a customs clearance history management function to automatically record the time of shipment, transportation route, tax payment history, etc., and can provide automatic notifications to the manager in the event of an exception.

[0049] The web-based interface is a user interface that allows domestic administrators and overseas manufacturing plant administrators to access the system (100) through a browser or a dedicated application to input data or view and approve documents. Menus and functions accessible according to user authority are provided separately, and the language, units, time zone, etc. are automatically converted and displayed.

[0050] For example, data entered in Korean can be displayed to overseas factory managers in English or the local language. The interface may also include real-time notifications, dashboard-based production monitoring, and AI-based error detection and feedback functions.

[0051] Server and cloud infrastructure serves as a central processing unit that performs computations, data storage, user authentication, and logging functions for each of the aforementioned modules. This infrastructure can be selectively deployed on private servers (on-premise) or in cloud environments (AWS, Azure, etc.) and can be scaled to a multi-region environment for global users. Furthermore, the cloud infrastructure ensures data stability and security by including SSL-based encrypted communication, access control, and automatic backup functions.

[0052] The terminal device (200, 300) used by a domestic administrator or an overseas manufacturing plant administrator to access the system (100) can be implemented in various forms such as a PC, laptop, tablet, or smartphone. The terminal device (200, 300) accesses the server and cloud infrastructure via the internet or VPN, and can execute the functions of each module using a web browser or a dedicated application.

[0053] Additionally, the terminal device (200, 300) can be configured to allow data input even in an offline state using a local storage, and to automatically synchronize with the server when the network connection is restored. Through such a configuration, the system (100) integrates and manages data generated throughout the entire process of fashion clothing production on a single platform, enabling real-time collaboration between domestic and international managers and process automation.

[0054] Therefore, it is possible to fundamentally improve issues such as information inconsistencies, data omissions, and delivery delays that occurred in conventional manual management methods, and enables balanced operations of quality and efficiency even in a global production environment.

[0055] Figure 2 is an example diagram showing an example of the system of Figure 1 in operation.

[0056] As illustrated in FIG. 2, a domestic manager creates a work order through a web-based interface and inputs data related to the production of fashion clothing, such as design information, product code, production quantity, raw material specifications, and process schedule. The input data is stored in a data management module (110) and is automatically converted into a standardized format by a process creation / modification module (120).

[0057] The system (100) automatically recognizes that the input language is a domestic language (e.g., Korean) and refers to a multilingual mapping table to automatically translate the data into the local language of the overseas manufacturing plant manager (e.g., Chinese, Vietnamese, etc.).

[0058] At the same time, the system (100) automatically generates a Material Requirement Plan by linking production information included in the work order with Bill of Materials (BOM) data. The Material Requirement Plan automatically reflects information such as the type of fabric, required quantity, ordering party, and estimated delivery date for each product, and the process creation / modification module (120) can automatically calculate the process schedule and specify the input time for each material. Additionally, if pattern files or CAD drawing data stored in the data management module (110) exist, the design drawing of the corresponding product can be automatically attached so that the overseas manufacturing plant manager can verify it together with the work order.

[0059] That is, with only the act of a domestic manager writing and saving a work order in Korean, the system (100) performs a series of automatic operations such as automatic recognition of input language, automatic translation of local language, automatic generation of material requirements plan, automatic attachment of design drawings, and real-time transmission to an overseas manufacturing plant manager terminal device (180).

[0060] The above process is processed in parallel on a cloud server (170), and a document template for each language is automatically selected using the multilingual index structure of the database. For example, if a manufacturing plant in China is connected, a Chinese translation and a Chinese customs invoice form can be automatically applied, and if a manufacturing plant in Vietnam is connected, a Vietnamese translation and an MRP form for that country can be automatically applied.

[0061] At this time, the system (100) collectively transmits translated work orders, automatically generated material requirements plans, and design drawing files to the overseas manufacturing plant manager's terminal device (180), and the overseas manufacturing plant manager can view and approve them or input feedback on a web-based interface (160). Since the input feedback is immediately back-translated into the original text (e.g., Korean) and provided to the domestic manager, real-time two-way collaboration is possible without separate translation personnel or manual communication.

[0062] In addition, the system (100) can automatically perform subsequent actions such as linking the process creation / modification module (120) and the task automatic assignment module (130) at the approval or feedback stage of the work order to automatically generate a production schedule to display the material arrival time, production start date, and estimated delivery date by process, automatically generating a process flow diagram to visualize the work sequence and quality inspection points that the overseas manufacturing plant must follow, and printing the inspection standard document together to support local QC personnel in performing quality inspections according to the same standards.

[0063] According to an extended embodiment, the system (100) can automatically link BOM information, pattern images, sample approval history, packaging specifications, etc., of production items in addition to translated work orders and material requirements plans, and transmit them to an overseas factory in the form of a single work package. This package is composed of a file structure in which work orders, material requirements plans, design drawings, production schedules, and inspection standards are integrated, and the overseas manufacturing plant manager can download a single file or view each item individually on the interface.

[0064] In addition, according to the embodiment, the system (100) can monitor the production status of an overseas manufacturing plant in real time even after a work order has been issued, and collect data such as work progress rate, defect rate, and material depletion rate, and visually display it on a dashboard of a domestic manager's screen. Through this, the domestic manager can identify the production status in real time and, if necessary, immediately perform process readjustment or place additional material orders.

[0065] Meanwhile, the embodiment illustrated in FIG. 2 is merely an example to explain the operating principle of the present invention, and it is evident that the method of language conversion of work orders, automatic document generation, and data linkage can be applied in various ways to other languages, manufacturing plants in other countries, or other types of production processes. For example, when connected to a manufacturing plant in the European region, an English or French translation may be automatically provided, and in the Americas region, invoices and delivery certificates may be automatically generated in accordance with the electronic customs clearance form.

[0066] Therefore, the configuration shown in FIG. 2 is merely a simple example, and the system (100) can be expanded to various functions such as translation, automatic document generation, process integration, quality inspection, and customs document automation.

[0067] Figure 3 is an illustrative diagram showing another example of the system of Figure 1 in operation.

[0068] As illustrated in FIG. 3, the system (100) is configured to dynamically reconfigure the manufacturing management process based on the update time when a domestic manager or an overseas manufacturing plant manager accesses the web-based interface (160) to update data related to fashion clothing production. In other words, the system (100) automatically recognizes the process location of the input data and creates or modifies a new manufacturing management process only for the process steps after that point in time, thereby reflecting changes in real time without interrupting the entire process.

[0069] For example, when an overseas manufacturing plant manager detects a shortage of fabric inventory during the sewing process and inputs a fabric change request data, the system (100) immediately receives this through the data management module (110) and automatically recognizes the point in time of the process where the change request occurred (e.g., the sewing stage). Subsequently, the process creation / modification module (120) queries the fabric information requested for change in the BOM (Bill of Materials) database to automatically search for a replaceable fabric, and compares and analyzes the inventory quantity, price, and delivery date information of the corresponding fabric.

[0070] When a domestic manager approves a change request through a web-based interface (160), the system (100) automatically updates the schedules and material requirements of subsequent processes based on the time of approval. For example, the start time of the fabric cutting stage, the sewing work sequence, quality inspection standards, and delivery schedule are modified in real time according to the fabric change, and the modified process is linked with the data management module (110) and the task automatic assignment module (130) and immediately transmitted to the relevant person in charge.

[0071] At this time, the system (100) automatically generates a new material requirements plan based on the changed fabric information and automatically issues an updated work order including supplier information, transportation route, and estimated arrival date of the fabric. At the same time, the fabric consumption / cost automatic calculation module (140) automatically recalculates the new fabric consumption and cost by reflecting the unit price, width, and weight data of the changed fabric, and the customs / document automatic generation module (150) automatically updates the modified invoice and customs documents based on this.

[0072] In addition, the system (100) can also modify the quality inspection standard by reflecting the physical characteristics (e.g., color, texture, thickness, etc.) of the changed fabric. For example, if the changed fabric is a thicker material than the existing one, the stitch spacing, sewing thread specifications, and ironing temperature of the sewing process are automatically reset, and the measurement standards during quality inspection are automatically updated accordingly. Such automatic updating of quality standards has the effect of preventing errors in the pre-production stage and significantly reducing the rework rate.

[0073] According to an extended embodiment, the system (100) can be applied in the same manner to changes in production areas, cooperating factories, personnel deployments, and other situations, as well as changes in process units such as changes in fabric. For example, if a process needs to be transferred to another factory due to production delays at a specific overseas factory, the system (100) can automatically readjust all schedules and work assignments after the process through the process creation / modification module (120). Additionally, the work automatic assignment module (130) automatically reassigns new personnel and equipment suitable for the changed process and transmits the changed assignment information to each manager in real time.

[0074] Meanwhile, to quantitatively evaluate the impact of the changed process on production efficiency, delivery time, cost, etc., the system (100) may automatically generate a process impact analysis report that compares and analyzes data before and after the change. This report includes indicators such as the estimated delivery delay time, additional costs, and quality risks caused by the changed fabric or process, and domestic managers can make quick decisions based on this.

[0075] In addition, according to an embodiment, after the change process is finalized, the system (100) automatically records the details of the change and generates a process change history to enable tracking and management. This history includes the time of the change, the reason for the change, the person who approved the change, and the results of comparing data before and after the change, and can be referenced during future quality audits or cost verifications.

[0076] Therefore, even in the event of unexpected fluctuations during the production process, such as material changes, process delays, equipment failures, or changes in suppliers, the entire manufacturing flow can be automatically readjusted without interruption. Furthermore, by allowing domestic managers and overseas manufacturing plant managers to share the same change information in real time, both production continuity and efficiency can be ensured simultaneously.

[0077] It is evident that such a configuration is not limited to the embodiment of FIG. 3 and can be applied in the same way to various situations, such as, for example, changing colors, substituting auxiliary materials, readjusting the process sequence, changing production quantities, or adjusting delivery times.

[0078] And, FIG. 4 is a flowchart illustrating a method for automating the integrated management of fashion clothing production according to one embodiment.

[0079] As illustrated in FIG. 4, the fashion clothing production integrated management automation method linked to an overseas manufacturing plant can proceed by providing full-cycle data of fashion clothing related to design planning, product development, production and delivery in the fashion clothing production integrated management automation system (100), and updating fashion clothing production-related data through access via a web-based interface of a domestic manager or an overseas manufacturing plant manager (S100).

[0080] Based on the fashion clothing production data updated in step S100, a manufacturing management process to be carried out in the future is created or modified (S102).

[0081] Subsequently, for each process of the manufacturing management process, the work assignment corresponding to the domestic manager and the work assignment corresponding to the overseas manufacturing plant manager are automatically distinguished and provided (S104).

[0082] The detailed description of steps S100 through S104 described above and the description of additional possible steps shall be in accordance with FIGS. 1 through 3 and the description thereof.

[0083] The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0084] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0085] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0086] Although the embodiments have been described above with reference to the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, suitable results may be achieved even if the described techniques are performed in a different order than described, and / or if the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0087] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims set forth below.

Claims

Claim 1 In a fashion clothing production integrated management automation system, a step of providing full-cycle data of fashion clothing related to design planning, product development, production, and delivery, and updating fashion clothing production-related data through access via a web-based interface by a domestic manager or an overseas manufacturing plant manager; a step of creating or modifying future manufacturing management processes based on the updated fashion clothing production-related data; and a step of automatically distinguishing and providing work assignments corresponding to the domestic manager and work assignments corresponding to the overseas manufacturing plant manager for each stage of the manufacturing management process. The method includes a step of generating integrated management data based on result data of the manufacturing management process described above, wherein the fashion clothing production integrated management automation system is built on a domestic management server or a cloud server and includes a database in which fashion clothing production-related data entered from a web-based interface of the domestic manager and the overseas manufacturing plant manager is synchronized in real time, wherein the database is classified and stored in a multidimensional structure by items such as production stage, raw materials, process, quality inspection, customs clearance, and logistics, and an update history (Log) is automatically recorded for each item so that it can be automatically tracked and restored when the process changes, and the step of creating or modifying the manufacturing management process is configured such that if the data entered through the web-based interface of the domestic manager or the overseas manufacturing plant manager is input data corresponding to the initial stage of the manufacturing management process, the entire manufacturing management process is created or an already created entire manufacturing management process is modified based on said input data, and if the data entered is input data corresponding to the in progress stage of the manufacturing management process, a partial manufacturing management process is created or modified to perform the process after the in progress stage based on said input data.The system automatically recognizes the data input time and process progress location to dynamically control the scope of creation and modification of the entire or partial manufacturing management process. Furthermore, it analyzes input data from the domestic manager or overseas manufacturing plant manager to automatically detect differences in language, units, specifications, and process notation methods of work items, and automatically converts each item into an interoperable standardized format using pre-stored multilingual and multi-unit mapping tables, thereby automatically reconstructing the entire or partial manufacturing management process based on a standardized data structure. Additionally, if the input data includes a fabric change request data entered upon detecting a fabric inventory shortage during the sewing process, it automatically recognizes the time of the process where the change request occurred, queries the Bill of Materials (BOM) database for the requested fabric information to automatically search for a substitute fabric, compares and analyzes the inventory quantity, price, and delivery date information of the relevant fabric, and when the domestic manager approves the change request via a web-based interface, it automatically updates the schedules and material requirements plans for subsequent processes based on the time of approval, automatically modifies quality inspection standards according to the physical characteristics of the changed fabric, and is equipped to automatically issue an updated work order including the supplier information, transportation route, and estimated arrival date of the relevant fabric. The step of automatically classifying and providing tasks for each process stage of the process involves, based on the creation or modification results of the entire or partial manufacturing management process, setting the required technology group, equipment type, delivery priority, labor cost index by production site, and the processing history data of the person in charge for each process as weight parameters, classifying and assigning in real time the first related tasks corresponding to the domestic manager and the second related tasks corresponding to the overseas manufacturing plant manager according to an automatic matching algorithm based on the said weights, and, in the event that a change or modification occurs in the process, automatically recalculating and updating the task assignment results only for the relevant modification section.The step of generating integrated management data based on the result data of the manufacturing management process described above is characterized by hierarchically analyzing fabric consumption, labor time, raw material usage, quality inspection results, and logistics movement distance data collected for each process according to the Bill of Materials (BOM) structure; automatically calculating real-time fabric consumption and cost per product unit based on the analysis results; automatically generating and printing invoices and customs documents corresponding to the calculated results by linking with a database of customs rates and logistics costs by country; automatically sharing and saving the generated customs documents and invoices through a web-based interface of the domestic manager and the overseas manufacturing plant manager; automatically recalculating new fabric consumption and cost by reflecting the unit price, width, and weight data of the changed fabric according to the fabric change request data; automatically updating the modified invoices and customs documents based on this; automatically generating a process impact analysis report that compares and analyzes data before and after the change; and automatically recording the change details after the change process is finalized to generate a process change history including the time of change, reason for change, change approver, and comparison results of data before and after the change. Automation method. Claim 2 delete Claim 3 delete

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