• Construction Engineering and Management
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• v.16 no.1
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• pp.48-52
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• 2015

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.05a
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• pp.102-106
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• 2006

Community noise has been serious social issues in Korea. The community noise concerns on traffic, industrial and apartment complex noise. In industrial noise, construction, factory sectors are included. This paper summerizes the final report prepared for MOE in 2005 by authors. The new policy will be enforced beginning in 2006 with 5 year schedule. Details on the policy will be demonstrated at the presentation.

• JOURNAL OF ELECTRICAL WORLD
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• no.10 s.142
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• pp.5-10
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• 1988

• JOURNAL OF ELECTRICAL WORLD
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• no.11 s.143
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• pp.18-26
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• 1988

• International conference on construction engineering and project management
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• 2022.06a
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• pp.336-343
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• 2022

Industrial robotic arms are widely adopted in numerous industries for manufacturing automation under factory settings, which eliminates the limitations of manual labor and provides significant productivity and quality benefits. The U.S. modular construction industry, despite having similar controlled factory environments, still heavily relies on manual labor. Thus, this study investigates the U.S., Canada, and Europe-based leading modular construction companies and research labs implementing industrial robotic arms for manufacturing automation. The investigation mainly considered the current research scope, industry state, and constraints, as well as identifying the types and specifications of the robotic arms in use. First, the study investigated well-recognized modular building associations, the Modular Building Institute (MBI), and renowned architecture design magazine, Dezeen to gather industry updates. The authors discovered one university lab and a few companies that adopted Switzerland-based robotic arms, ABB. Researching ABB robotics led to the discovery of ABB's competitor, Germany-based KUKA robotic arms. Consequently, research extended to the companies and labs adopting KUKA models. In total, this study has identified seven modular companies and four research labs. All companies employed robotic arms and gantry robot combinations in a production-line-like system for partial automation, and some adopted design standardization for optimization. The common goal among the labs was to achieve greater flexibility and full automation with robotic arms. This study will help companies better implement robotic arm automation by providing recommendations from investigating its current industry status.

• Journal of the Korean Society of Safety
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• v.37 no.5
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• pp.22-32
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• 2022

The domestic smart factory is being built and spread rapidly, mainly by mid-sized companies and large enterprises according to the government's active introduction and support policy. But these factories only promote production system and efficiency, so harmfulness and risk factors are not considered. Therefore, to derive harmful risk factors in terms of industrial safety for 12,983 government-supported smart factory workplaces from 2014 to 2019, industrial accident status analysis compared workplaces with automation facilities and government-supported workplaces with automation facilities. Also, to reduce risks associated with domestic smart factory processes, twenty government-supported workplaces with automation facilities underwent analysis, evaluating risks through a status survey using the process evaluation table. In addition, the status survey considered region, size, industry, construction level, and accident rate; the difference in risk according to the structure of the process was confirmed. Based on the smart factory process evaluation results, statistical analysis confirmed that serial, parallel, and hybrid structures pose different risk levels and that the risks of mixed structures are greater. Finally, safety control system application was presented for risk assessment and reduction in the smart factory process, reflecting the results of disaster analysis and actual condition investigation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.235-239
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• 2009

As robotic technologies have become more actively utilized to automate many construction tasks, they have been able to improve the construction productivity, quality, and worker's safety on site. A new advanced system, Robot-based Construction Automation (RCA) system, is currently being developed. To accomplish RCA system effectively, Design for automation (DFA) should be performed in automation system developing phase. The performance criteria of this system are a major cause of design changes. It is required exhaustive review for development new system. This research analyzed the design changes of Climbing Hydraulic Robot system and Construction Factory (CF), being currently developed in the field of applied RCA systems. And the design change matters according to performance criteria in each system's design-by-step were analyzed. The purpose of this research is developing the performance criteria in the developing phase of RCA system, and then will be served as basis for system design in similar projects.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.125-133
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• 2020

This study confirms the impact relationship between the president and employee competency related to smart factory construction of manufacturing SMEs, the acceptance intention and management performance in smart factory construction. The 310 data collected through a questionnaire were tested for research hypotheses through SEM. As a result, the president and employee competency affects the smart factory acceptance intention and the employee competency affects the management performance. Acceptance intention has a positive impact on management performance. Regional characteristics have a moderating effect on the relationship between president competency, acceptance intention, and management performance. Through this study, it was confirmed that the president and employee competency was an important factor in smart factory built.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.115-123
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• 2021

Manufacturing execution system is a factory information system that handles production-related quality data as well as executes production plans of process unit for all resources in the production process on site. As the 4th industrial revolution, which maximizes an automation and connectivity with artificial intelligence, has become a hot topic, manufacturers are showing interest in building a smart factories, but enormous construction costs and unstandardized production processes are obstacles to smart factory construction. Therefore, this paper designs and implements a manufacturing execution system for building a smart factory in a deterioration factory. we propose a Web-based manufacturing execution system aiming at a smart factory at the basic level for steel wire processing. The proposed system will smoothly support interworking with the existing ERP system using REST APIs, and will consider extensibility so that it can be used in various devices and browsers. We will show practicality by implementing the proposed WoT-based manufacturing execution system.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.411-414
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• 2015

The purpose of this study is to conduct a comparative analysis between Korea and the United States of the supply process of unit modular housing at both the factory production phase and the transportation and lifting phase, as part of an attempt to invigorate the unit modular housing market in Korea. Unlike the practice in the United States, one of Korea's unique characteristics is that the floor is constructed with reinforced concrete and hot water heating system. To do this, the wet method in Korea is used that includes concrete placement, curing and constructing hot water floor heating system at the factory production phase, which results in a longer production time and also requires the lifting of heavier loads. In the United States, interior and exterior finishing works of modular housing are performed by different companies, and the distance between the unit module factory and the construction site is quite far. This kind of dualized production structure may cause confusion when it comes to schedule management, procurement management, and stock management. Moreover, problems caused by external environmental factors such as wind and rainfall were reported in the course of long-distance transportation. The results of this case comparison are expected to provide fundamental data that will reduce the amount of trial and error in the unit module production, transportation and lifting work in Korea, which has a comparatively small number of unit modular housing cases.