KR-20260063422-A - Method, device and system for providing clothing and hat manufacturing process optimization solutions based on big data related to consumer information

KR20260063422AKR 20260063422 AKR20260063422 AKR 20260063422AKR-20260063422-A

Abstract

According to one embodiment, in a method for providing a solution for optimizing clothing and hat manufacturing processes based on big data related to consumer information, consumer information including consumer purchase history, preferences, and fashion trend data is collected; consumer information is analyzed to generate design data for clothing and hat products; production priorities and resource allocation of the manufacturing process are adjusted based on the generated design data to set a production plan for consumer-customized products; manufacturing process parameters including equipment setting values, material input amounts, temperature, and speed of the manufacturing process are adjusted based on the set production plan; quality of each stage is monitored based on quality control standards set for each stage of the manufacturing process; and production volume can be adjusted based on demand forecast data by monitoring the inventory status of products manufactured through the manufacturing process in real time to maintain an optimal inventory level.

Inventors

지광선

Assignees

주식회사 선즈

Dates

Publication Date: 20260507
Application Date: 20241030

Claims (3)

In a method for providing a clothing and hat manufacturing process optimization solution based on big data related to consumer information, performed by a device, A step of collecting consumer information including consumer purchase history, preferences, and fashion trend data; A step of generating design data for clothing and hat products by analyzing the above consumer information; A step of establishing a production plan for consumer-customized products by adjusting production priorities and resource allocation of the manufacturing process based on the design data generated above; A step of adjusting manufacturing process parameters, including equipment setting values, material input amounts, temperature, and speed of the manufacturing process, based on the above-determined production plan; A step of monitoring the quality of each stage based on quality control standards set for each stage of the above manufacturing process; and Characterized by including the step of adjusting production volume based on demand forecast data by monitoring the inventory status of products manufactured through the above manufacturing process in real time to maintain an optimal inventory level. Method for providing clothing and hat manufacturing process optimization solutions based on big data related to consumer information.
In paragraph 1, The step of generating design data by analyzing the above consumer information is, A step of extracting the style, design, color, and pattern preferred by the consumer from the above consumer information, A step of selecting design elements based on the extracted styles, designs, colors, and patterns, A step of determining the material and texture based on the preferred material and texture of a consumer group that is equal to or greater than a preset similarity standard with the above consumer, A step of setting customized size and fit by reflecting the above-mentioned consumer's size and preferred fit, and Characterized by including the step of generating the design data based on the style, material, size, and design elements. Method for providing clothing and hat manufacturing process optimization solutions based on big data related to consumer information.
In paragraph 1, The step of monitoring the quality of each step of the above manufacturing process is, A step of collecting quality monitoring data in real time at each stage of the above manufacturing process, A step of comparing the collected quality monitoring data with preset quality control standards to determine whether there are defects deviating from the standards, A step of temporarily suspending the relevant manufacturing process and recording the cause of the defect when a defect is detected, A step of maintaining quality by performing a calibration operation to adjust the manufacturing process parameters according to the above-recorded cause of defect, and Characterized by including the step of resuming the manufacturing process after the above calibration work is completed and verifying whether it meets preset quality control standards. Method for providing clothing and hat manufacturing process optimization solutions based on big data related to consumer information.

Description

Method, device and system for providing clothing and hat manufacturing process optimization solutions based on big data related to consumer information The following embodiments relate to a method, apparatus, and system for providing a solution for optimizing clothing and hat manufacturing processes based on big data related to consumer information. In the modern fashion market, there is a surging demand for customized products that reflect individual consumer preferences and the latest trends. Traditional mass production methods are unable to meet these demands, presenting limitations in providing the products consumers desire. Particularly with the rise of consumers who prioritize individuality—especially the MZ generation—there is a growing need for rapid and flexible manufacturing processes capable of keeping pace with the speed of change in the fashion industry. Furthermore, inventory management costs and resource waste caused by overproduction are emerging as persistent issues in the clothing and hat manufacturing industries. In mass production systems, it is difficult to predict changes in consumer demand, making excess inventory or stockouts prone to occur. This increases the burden of inventory management and costs for companies and becomes a factor leading to the inefficient use of resources. Accordingly, there is a need for the development of technology capable of optimizing clothing and hat manufacturing processes based on consumer data to provide customized products and improve inventory management. The big data-based manufacturing process optimization solution of the present invention collects and analyzes consumer data in real time to establish customized product designs that reflect individual preferences and optimal production plans. Furthermore, it can increase resource efficiency and reduce unnecessary costs through real-time quality control and inventory monitoring. Therefore, a method, device, and system for providing a solution for optimizing clothing and hat manufacturing processes based on big data related to consumer information are required. FIG. 1 is a schematic diagram showing the configuration of a system according to one embodiment. FIG. 2 is a flowchart illustrating a method for optimizing clothing and hat manufacturing processes based on big data related to consumer information according to one embodiment. FIG. 3 is a flowchart illustrating the process of generating design data by analyzing consumer information according to one embodiment. FIG. 4 is a flowchart illustrating the process of monitoring the quality of each step of a manufacturing process according to one embodiment. FIG. 5 is an example diagram of the configuration of a device according to one embodiment. 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. 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. 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. When it is stated that a component is "connected" to another component, it should be understood that it may be directly connected to or coupled with that other component, or that there may be other components in between. 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. 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 t