• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.615-616
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• 2006

Many manufacturing companies manage their production-related data for quality management and production management. Nevertheless, production related-data should be closely related to each other Stored data is mainly used to monitor their process and products' error. In this paper, we provide an enterprise-wide production data model for decision support system and product automation. Process data, quality-related data, and test data are integrated to identify the process inter or intra dependency, the yield forecasting, and the trend of process status. In addition, it helps the manufacturing decision support system to decide critical manufacturing problems.

• Journal of Korean Society for Quality Management
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• v.24 no.2
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• pp.113-127
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• 1996

A various quality data are produced during nuclear fuel fabrication. In order to control quality data efficiently, Computerization of Quality Information System(QIS) using personal computer was established. Database control software and analysis software were developed for QIS. QIS was applied the fuel manufacturing and quality inspection. Quality trend analysis, process control, process capability and quality history docket for nuclear fuel manufacturing were performed by QIS. Through the Quality Information System, quality assurance, quality control, process control and manufacturing engineering were performed efficiently in nuclear fuel manufacturing.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.627-630
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• 1996

One of the most common communication mechanisms to describe a situation or a process is a story written as an ordered sequence of events or activities. For example, a shop floor supervisor may present the operations of his manufacturing system by describing the processes of manunfacturing a product in his shop. Although IDEF3 is one of the most commonly used methods for describing a business process, but it is not common for a manufacturing process. In this study, we tried to apply IDEF3 for describing a manufacturing process. Problems and suggestions such as selection probability, programmable process modeling, manufacturing resource model were presented.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.29-38
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• 2018

Through process quality information, the time required for process quality analysis has been drastically shortened, the process defect rate has been reduced, and the manufacturing lead time has been shortened and the on-time delivery rate has been improved. Therefore, The purpose of this study is to develop a quality information analysis system model that effectively shortens the time required for process quality analysis in automobile safety belt parts manufacturing process. As a result of experiments on communication operation between manufacturing execution system (MES) quality server, injection machine control computer, injection machine programmable logic controller (PLC) and terminal, in analyzing quality information, the conventional handwriting input method took an average of 20 minutes, but the new multi-network method took about 2 minutes on average. In addition, the process defect rate was reduced by 13% and the manufacturing lead time was shortened from 28 hours to 20 hours. The delivery compliance rate improved from 96 to 99%.

• Journal of Korean Society for Quality Management
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• v.29 no.1
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• pp.140-159
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• 2001

The purpose of this study is to analyse the effectiveness of Quality Leadership on the Business Performance through Quality System for Manufacturing Companies in the North-east China, and research into the model of Quality Leadership is related with the Business Performance. A new questionnaire of QM based on Conti's Quality System thesis, was developed and tested. A statistical analysis of data was collected from Manufacturing Firms in the North-east China. As a result, Quality Leadership is the important drivers of Total Quality Management, and is related with the Quality System. Then, the Quality System is directly related with process, and process is also related with the Product Quality and the Business Performance. Of course, the Product Quality is directly related with the Business Performance in the end.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.5
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• pp.35-46
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• 2021

The purpose of this study is to establish effective quality control activities to maintain proper operation rates and improve the performance of research and development weapon systems. Quality control improvement measures suitable for the actual conditions of our military were identified by comparing the operational methods and advantages/disadvantages of the domestic quality control systems Defense Quality Management System and Defense Quality mark with those of the systems employed in the US(QPL and QML). In order to ensure the reliability of the weapon system, it is imperative to operate a design-oriented self-quality management system through manufacturing-oriented government-led inspection and to expand and reorganize the certification system divided into manufacturing items and companies.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.938-941
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• 2005

Recently We make a study of the process expert system model in 2005 process expert system concepts is applied to the digital meister expert system development. Well-designed expert systems imitate the reasoning processes experts use to solve specific problem. Specially, expert systems are used to the engineer in manufacturing industry fur the process control, production management and system management. In this paper, we propose the digital moister expert system fur product design process in manufacturing industry and we present introduction and contents of design process expert system methodology and software far the air purifier design system.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.960-968
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• 2005

The high cost in maintaining complex manufacturing process makes it necessary to enhance an efficient maintenance system. For the effective maintenance of manufacturing process, precise fault diagnosis should be performed and an appropriate maintenance action should be executed. This paper suggests an intelligent fault diagnosis system using hybrid data mining. In this system, the rules for the fault diagnosis are generated by hybrid decision tree/genetic algorithm and the most effective maintenance action is selected by decision network and AHP. To verify the proposed intelligent fault diagnosis system, we compared the accuracy of the hybrid decision tree/genetic algorithm with one of the general decision tree learning algorithm(C4.5) by data collected from a coil-spring manufacturing process.

• The Journal of Information Systems
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• v.19 no.4
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• pp.233-252
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• 2010

Due to its capabilities, RFID (Radio Frequency IDentification) has shown its applicability in various areas of business operations. This study describes the successful RFID system implemented in the auto parts manufacturing company called "E" to improve the efficiency of auto parts painting process management. The findings of this study show that an RFID system could help companies reduce manufacturing cost, inventory, and error rate in the auto-parts painting process. The RFID system descried in this study also demonstrates that an RFID system could make production data available real time to the company's ERP system and thus, managers and supervisors on the shop floor are able to make more informed business decisions. The findings of this study imply that RFID systems can be used to improve the efficiency of various manufacturing operations in companies. This study also provides IT professionals with practical guidelines for an effective implementation of RFID systems. In other words, it provides IT practitioners with the information on the success factors for implementing RFID systems as well as potential problems and solutions to them when implementing RFID systems.

• Design & Manufacturing
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• v.15 no.2
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• pp.42-48
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• 2021

In this paper, when manufacturing large/multi-mold parts (more than 30 core parts),A mold manufacturing (tolerance) management system was established through design-processing linkage.The mold manufacturing (tolerance) management system is a design-based measurement shape/measurement position determination system, M/C processing-linked measurement drive system,It is composed of four parts: CAD-linked measurement result analysis system and manager mold part quality management system.In addition, the constructed system was applied to the field and the effect of system construction was evaluated by comparing it with the existing process.As a result of the evaluation, the measurement precision is within 0.02mm, and the time it takes to measure after the end of processing is shorter than that of the existing process.(12 hours → 2 hours) It was shortened to 16.7%.In addition, it was confirmed that the time required for reprocessing after measurement was reduced by 25% (4 hours → 1 hour) compared to the existing process.