• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.233-238
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• 2018

SMEs and small enterprises are making various attempts to manage SMEs in terms of equipment, safety and energy management as well as production management. However, SMEs do not have the investment capacity and it is not easy to build a smart factory to improve management and productivity of SMEs. In this paper, we propose a smart factory construction algorithm that partially integrates the factory equipment currently operated by SMEs. The proposed algorithm supports collection, storage, management and processing of product information and release information through IoT device during the whole manufacturing process so that SMEs' smart factory environment can be constructed and operated in stages. In addition, the proposed algorithm is characterized in that central server manages authentication information between devices to automate the linkage between IoT devices regardless of the number of IoT devices. As a result of the performance evaluation, the proposed algorithm obtained 13.7% improvement in the factory process and efficiency before building the Smart Factory environment, and 19.8% improvement in the processing time in the factory. Also, the cost of input of manpower into process process was reduced by 37.1%.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.63-64
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• 2007

• IE interfaces
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• v.22 no.4
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• pp.302-311
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• 2009

It's very important to make an effective and optimized production schedule for the small-to-medium-sized factory which have high-variety low-volume manufacturing properties. And now people say that MES is very useful to make scheduling more effectively. But for small-to-medium-sized factory, it is very difficult to build MES system because of fewer infrastructures in the factory, and more to keep it's continuous maintenance and improvement. Therefore it is more important to systematize the production scheduling generation using simpler and easier tools like EXCEL sheet. And it will be needed a new method to make simple MES construction for more efficient production scheduling. This paper proposes the method which can build simple MES easily using a tool of EXCEL VBA for a small-to-medium-sized factory, and introduces an applied case by the proposed method and EXCEL VBA.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.173-181
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• 2023

Data collection is an essential element in the construction and operation of a smart factory. The quality of data collection is greatly influenced by network conditions, and existing wireless network systems for IoT inevitably lose data due to wireless signal strength. This data loss has contributed to increased system instability due to misinformation based on incorrect data. In this study, I designed a distributed MQTT IoT smart sensor and gateway structure that supports wireless multicasting for smooth sensor data collection. Through this, it was possible to derive significant results in the service latency and data loss rate of packets even in a wireless environment, unlike the MQTT QoS-based system. Therefore, through this study, it will be possible to implement a data collection management system optimized for the domestic smart factory manufacturing environment that can prevent data loss and delay due to abnormal data generation and minimize the input of management personnel.

• Journal of Environmental Health Sciences
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• v.28 no.2
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• pp.1-9
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• 2002

This study was performed to investigate vibration generated from machines that were used at factories and construction works. Vibrations were measured at three points in a straight line based on distance from the vibration sources, and analyzed to assess the vibration bevels. The average vibration level of factory machines was 65.4dBV at 2m, and that of construction machines was 74.0dBV at 5m. Vibration attenuations was 4.0~8.2dBV by double distance. All such data were applied to gain coefficients of attenuation equations for predicting vibration level by distance from the vibration sources. Data recorded on tapes were analyzed to understand the characteristics of frequency because these characteristics are important factors to design a Plan for installing the vibration-Proof devices. Finally, considering results from these analysis, assessment, and prediction, the methods for reducing vibration generated from machines were discussed.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.180-181
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• 2013

In order to draw indirect cost rates, theories of indirect cost were investigated, and recent field data were collected from steel factories. As a result, it was found that the ratio of indirect labor productivity compared to the direct labor ratio was approximately 17% and the ratio of indirect cost compared to direct cost was approximately 93%. Furthermore, 'The economy of construction industry' and 'size of steel factory' were found to be influence factors of the indirect cost ratio.

• Land and Housing Review
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• v.10 no.2
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• pp.59-67
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• 2019

The recent paradigm shift in the construction industry has led to a growing demand for industrial construction. In particular, interest in modular housing, one of the areas of industrialization architecture, is soaring. Modular housing is a construction method for completing a building by transporting factory-built modules to the site and assembling them. However, modular housing in Korea has various problems such as errors in design books, lack of factory drawings, and lack of on-site construction plans. BIM is a tool for accumulating, producing and managing various information through 3D models and is a solution to solve various problems of modular housing. In this study, problems of modular housing and BIM utilization of modular housing were presented as ways to ensure the quality of modular housing. Therefore, this study analyzed the problems that are occurring in the construction process of modular housing. And, to address the problem of modular housing, BIM utilization measures were proposed for each modular process step. However, the application of BIM in domestic modular project is currently being carried out in pilot research project. Because of this, the BIM utilize method for modular housing is limited based on the BIM use for general projects and the examples for some modular pilot projects.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.177-188
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• 2021

In South Korea, with the advancement of the 'Port' project, the regeneration industry adapted to the modern economic development has been promoted, leading to construction around the port was also redefined. Therefore, through regeneration, the problem of image construction of buildings around the port has been re-examined, in which color is an important content of image construction. In this study, the exterior walls of abandoned factory buildings in the port area of Bongnaedong, Pusan were selected as the color research object and evaluated according to the characteristics of the regenerated factory buildings combined with the building color function. Technically, KSCP color analysis system is used for color analysis. In this way, the color plan for the exterior walls of the factory buildings is proposed to visually enhance the image of abandoned factory buildings and attract more attention, thus driving the regional economic development. The results of this study show that in order to adapt to the regional, industrial and commercial characteristics of the regenerated port space, the color hue, lightness, chroma and use area of the building can be changed to enhance the aesthetic value and enhance the inductivity and security.

• Industry Promotion Research
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• v.4 no.2
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• pp.9-18
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• 2019

This study investigated the relationship between ICT environment and business performance. In the case of Korea's major industries, large corporations have already established and operate a considerable level of smart factories, leading the global market. However, SMEs, which account for 95% of the total companies, are not able to build smart factories themselves. Smart factory construction The total number of government-supported enterprises is 4.891 companies (3,984 companies, 907 companies in construction) 2.9% of factories and 97.1% (166,344 companies) There is a big problem to be improved. The result of this study is that the first research objective of this study, which suggests the theoretical system that the will of the manager is most important for the successful establishment of the smart factory, which is part of the corporate innovation to meet the rapidly changing environment. Second, it can be seen that financing for building a smart factory is a key factor in building a smart factory, as well as funding itself. Third, it was found that besides its own technology, technology support for government and external technology consulting support are very important for smart construction. Fourth, organizational participation of internal organizers showed that cooperative and positive positive participation is also a factor of success. As a follow-up study, we analyzed the cause of the company's operation, analyzed the cause of the problem with the 4M1E technique, developed the countermeasures, and compared it before and after the improvement, standardized the improvement and needed further study. It is meaningful that the study provided basic data for building a smart factory through the analysis of the relationship between the ICT environment and business performance of the company.

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.87-105
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• 2020

Purpose: This paper aims to propose a practical strategy for smart factories and a step-by-step quality strategy according to the maturity of smart factory construction. Methods: The characteristics, compositional requirements, and diagnosis system are examined for smart factories through theoretical considerations. Several cases of implementing smart factory are studied considering the company maturity level from the aspect of the smartness concept. And specific quality techniques and innovation activities are carefully reviewed. Results: The maturity level of smart factory was classified into five phases: 1) ICT non-application, 2) basic, 3) intermediate 1, 4) intermediate 2, 5) advanced level. A five-step quality strategy was established on the basis of case studies; identify, measure, analyze, optimize, and customize. Some quality techniques are introduced for step-by-step implementation of quality strategies. Conclusion: To build a successful smart factory, it is necessary to establish a quality strategy that suits the culture and size of the company. The quality management strategy proposed in this paper is expected to contribute to the establishment of appropriate strategies for the size and purpose of the company.