• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.150-160
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• 2005

As apparel manufacturers have increased their outsourcing garment making to cope with the rapid changing market, the information sharing has been the most important factor for the Korean apparel industry. The purpose of this research was to study the present state and the needs of the information sharing between the apparel manufacturers and the contractors; and the relationship between the product property (basic/fashion product) and the information sharing property. A total of 86 Korean apparel manufacturers were surveyed for the study. The results are: 1) the information sharing level on manufacturing capacity, manufacturing processing condition, and product quality were a bit higher than other surveyed information, but the level on inventories and sales were lower than others. in addition, the information sharing needs by online system of manufacturing capacity, manufacturing processing condition, and product quality were greater than other information; 2) In the case of fashion product, the information sharing needs of product quality by online system were much greater than in the case of basic product. This study is expected to help apparel manufacturers to construct their information sharing system which is apt for their product property and needs.

• International Journal of Precision Engineering and Manufacturing
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• v.1 no.1
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• pp.84-90
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• 2000

The importance of Virtual Manufacturing System is increasing in the area of developing new manufacturing processes, implementing automated workcells, designing plant facility layouts and workplace ergonomics. Virtual manufacturing system is a computer system that can generate the same information about manufacturing system structure, states, and behaviors as is observed in a real manufacturing. In this research, a virtual manufacturing system for flexible manufacturing cells (VFMC), (which is a useful tool for building Computer Integrated Manufacturing (CIM), has been developed using object-oriented paradigm, and implemented with software QUEST/IGRIP. Three object models used in the system are the product model, the facility model, and the process model. The concrete behaviors of a flexible manufacturing cell are re[presented by the task-oriented description diagram, TIC. An example simulation is executed to evaluate applicability of the developed models, and to prove the potential value of virtual manufacturing paradigm.

• Journal of Korea Society of Industrial Information Systems
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• v.1 no.1
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• pp.111-125
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• 1996

This paper presents a statistical process control(SPC) system in the electronic parts manufacturing process. In this system, an SPC method is integrated into the automated inspection technology on a real time base. It shows how the collected data can be analyzed with the SPC to provide process information. also presented are stuided of subpixel image processing technology to improve the accuracy of parts mearements , and the cumulative-sum(CUSUM) control chart for fraction defectives.An application of the developed system to connector manufacturing process as a part of computer integrated manufacturing (CIM) is presented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.199-206
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• 2022

A malfunction or breakdown of a manufacturing facility leads to product defects and the suspension of production lines, resulting in huge financial losses for manufacturers. Due to the spread of smart factory services, a large amount of data is being collected in factories, and AI-based research is being conducted to predict and diagnose manufacturing facility breakdowns or manufacturing site efficiency. However, because of the characteristics of manufacturing data, such as a severe class imbalance about abnormalities and ambiguous label information that distinguishes abnormalities, developing classification or anomaly detection models is highly difficult. In this paper, we present an deep learning algorithm for anomaly detection of a manufacturing facility using reconstruction loss of CNN-based model and ananlyze its performance. The algorithm detects anomalies by relying solely on normal data from the facility's manufacturing data in the exclusion of abnormal data.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.215-220
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• 2017

The purpose of this study is to investigate the effect of application of accounting information system on the manufacturing cost improvement of domestic small and medium - sized manufacturing companies. For this study, we conducted an empirical study on the accounting officers of small and medium-sized manufacturing companies in Korea. According to the results of the study, companies use accounting information system to understand the variation of manufacturing cost much and show positive effect. This study will contribute to improving the manufacturing cost of domestic small and medium - sized manufacturing companies by increasing the efficiency of accounting information system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.471-477
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• 2021

In the field of display, a smart factory means more efficient display manufacturing using AI/BIG DATA technology not only for job automation, but also for existing process management, moving facilities, process abnormalities, and defect classification. In the past, when defects appeared in the display manufacturing process, the classification of defects and coping with process abnormalities were different, a lot of time was consumed for this. However, in the field of display manufacturing, advanced process equipment must be used, and it can be said that the competitiveness of the display manufacturing industry is to quickly identify the cause of defects and increase the yield. In this paper, we will summarize the cases in which smart factory AI/BIG DATA technology is applied to domestic display manufacturing, and analyze what advantages can be derived compared to existing methods. This information can be used as prior knowledge for improved smart factory development in the field of display manufacturing using AI/BIG DATA.

• Korean Journal of Computational Design and Engineering
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• v.9 no.2
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• pp.175-182
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• 2004

As a bridge between design and manufacturing, process planning is to generate a sequenced set of instructions to manufacture the specified part. Automatic interpretation of manufacturing information incorporated in the design documentation such as CAD file has been a knotty subject for manufacturing engineers since no current data exchange format for product data provides a perfect interface between heterogeneous systems. The recent neutral data exchange format STEp, standard for the exchange of product model data, includes not only geometry but also technical and managerial information. STEP AP(Application Protocol) 224 is specifically dedicated to the mechanical product definition for process planning using machining features. Given a design information in STEP AP 224 format, process planning can be made without human intervention. This paper describes a method to determine the sequence of machining features by using the machining features and the manufacturing information expressed in STEP AP224.

• The Journal of Information Systems
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• v.16 no.2
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• pp.145-169
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• 2007

The purpose of this research is to investigate success factors of knowledge management in Korea companies. The research scheme was experimented through a questionnaire survey answered by 87 companies. The research model was composed of five groups : 1) CEO support and business strategics, 2) organization culture 3) information technology characteristic of knowledge workers 4) a reward and performance measurement 5) knowledge management system. The results of this research indicated that the CEO support and organization culture are important factors for knowledge activities. The information technology characteristic of knowledge workers and a reward have small effects for knowledge activities. Manufacturing companies and non-manufacturing companies need different knowledge management strategies. The results of this study will be helpful for the success implementation of knowledge management in Korean companies.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.153-156
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• 2005

Real-time monitoring and controlling manufacturing process is important because of the unexpected events. When unexpected event like mechanical trouble occurs, prior plan becomes unacceptable and a new schedule must be generated though manufacturing schedule is already decided for order. Regenerating the whole schedule, however, spends much time and cost. Thus automated system which monitors and controls manufacturing process is required. In this paper, we present a system which uses radio-frequency identification and computer vision system. The system collect real-time information about manufacturing conditions and generates new schedule quickly with those information.

• Journal of Korean Institute of Industrial Engineers
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• v.17 no.2
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• pp.115-129
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• 1991

An ecconomically competitive automated manufacturing system integrates the various control processes and data used in design, manufacturing, sale and service of products. CIM is a way to achieve such integration through computers and computational techniques in design, planning, and manufacturing. Developing effective CIM architectures is hampered by integration problems. The key to resolving these problems lies in a better understanding of manufacturing function and how it is related to other manufacturing functions. Integration of CIM environment requires coordinated solutions to data management problems for individual application system as well as for exchange of data between these applications. This requires a common framework for data management throughout the CIM environment. This paper discusses the design paradigm as a framework for this purpose. Designing an organizational structure to meet those goals involves 1) analyzing the functions through functional decomposition, 2) developing a data model to coordinate functions. As a result, we propose an object-oriented design methodology for manufacturing information system.