• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.23 no.3
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• pp.310-317
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• 2014

The Next-generation High-speed Rail Technology Development Project was started in 2007 by the Korean Government with the aim of developing the core technologies for a high-speed electric multiple unit (EMU) railway system. This is the first attempt to develop a high-speed EMU railway. High-speed EMU trains have superior acceleration and deceleration compared to push-pull high-speed railways such as KTX(Korean Train eXpress). A prototype train was developed and tested on a high-speed line starting in 2012. The new train must maintain running safety during the test. Generally, the international standard (UIC518) is adopted to evaluate the running safety of trains. This method suggests that the test zone must have over 25 sections, and the length of each section must be 500 m. However, it is difficult to implement these test conditions for a real high-speed line. In this study, we analyzed the running safety using several test section lengths (100 m to 500 m) and compared the results. The results of this study will be used to establish a running safety evaluation method for high-speed EMU railways.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2086-2091
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• 2013

One of the most important objects for the industrial ventilation is to protect worker's health from the harmful substances. Mainly in industrial ventilation, the harmful substances broken out through manufacturing process are to be quickly emitted outside. Recently the importance of the industrial ventilation increases with the recognition change of industrial ventilation from manufacturing focusing to human focusing. In this paper, the air flow simulation inside the coating room is performed. All the coating room and the ventilation system are modeled by SolidWorks program and air flow distribution and ventilation performance are analyzed by Flow simulation program. And the air flow directions and the air flow velocities inside the coating room are enhanced with the use of local ventilation.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.2
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• pp.7-15
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• 2017

Recently, an electricity sensor system has been installed and operated to prevent failures and accidents by identifying whether a transformer is normal in advance of failure. This electricity sensor system is able to both measure and monitor the transformer's power and voltage remotely and send information to a manager when unusual operation is discovered. However, a battery is required to operate power detection devices, and battery systems need ongoing management such as regular replacement. In addition, at a maintenance cost, occasional human resources and worker safety problems arise. Accordingly, we apply a linear electromagnetic generator using vibration energy from a transformer for an electric sensor system's drive in this research and we conduct optimal design to maximize the linear electromagnetic generator's power. We consider design variables using the provided design method from Process Integration, Automation, and Optimization (PIAnO), which is common tool from process integration and design optimization (PIDO). In addition, we analyze the experiment point from the design of the experiments using "MAXWELL," which is a common electromagnet analysis program. We then create an approximate model and conduct accuracy verification. Finally, we determine the optimal model that generates the maximum power using the proven approximate kriging model and evolutionary optimization algorithm, which we then confirm via simulation.

• Journal of Korean Society for Quality Management
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• v.42 no.4
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• pp.757-768
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• 2014

Purpose: In this paper we present a case study of developing fast curing adhesives for insulation material of LNG carriers using an extreme vertices design with four mixture components. Three material properties are considered - shear strength, viscosity, and tensile strength. In the optimization experiment, we used hardness instead of tensile strength due to shortage of specimens. Methods: We employ four-factor extreme vertices design with 19 runs and desirability function approach for simultaneously optimizing three responses. After selecting optimal condition of the mixture components, we do confirmation experiments to verify the reproducibility of the optimal condition under manufacturing circumstance. Results: Simultaneous optimal condition for the three responses, that is, shear strength, viscosity, and harness is obtained. At the optimal condition, confirmation experiments are executed in manufacturing circumstance. The variation for the shear strength is not satisfactory, which is due to the variation of the humidity. Conclusion: At the optimal condition three material properties are satisfactory. To reduce the variability for the shear strength, robust design is needed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.321-322
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• 2006

In many manufacturing processes such as web formation, manufacturing of paper and nonwoven, fabric weaving, etc., planar sheets are transported and at the same time appropriate tension is imposed. The input material rolled up on beams is fed by unwinding the beam and the processed is then taken up on beams by winding it. While processed, the planar sheets are thrown under the processing load of impulse form, which causes irregular thickness of the processed sheet. To improve the quality of the product, a dynamic model is needed and the dynamic characteristics is to be analyzed by simulation. This study shows that density variation dynamics of the in-process-sheet in the machine direction can be described at each moment of disturbing impacts in forms of difference equations, while the impacts and tension, the time-dependency of the material properties were taken into account. Simulation showed the most serious variation of the density occurred in the process starting phase. The starting velocity curve with step form showed the least variation of the density. As the time order of the function of the starting velocity cure becomes higher, the density variation gets greater.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.50-60
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• 2018

The use of Project Management Information System (PMIS) is increasing in project management industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project performance. However, how much and which parts of project management performance are affected by PMIS still need to be studied further. The purpose of this study is to investigate the impact of PMIS quality on project management performance. We collected data from various project based industries such as construction, defense, manufacturing, software development and telecommunication by using survey questionnaire. PMIS quality was measured in three dimensions. They are system quality, information quality and service quality. Project management performance was measured in nine variables such as time reduction, work accuracy, cost management, etc. Statistical analyses such as multiple regression were used to analyze the data. The results showed that PMIS quality had significant impacts on the project management performance and user satisfaction. It was notable that only two dimensions out of the three PMIS quality dimensions, system quality and information quality, affected the project management performance. Also, it was found that PM performance played a mediating role between PMIS and user satisfaction, and between PMIS and reuse intention. The contribution of this research is that it helps to clarify what aspects of PMIS affect the project management performance and user satisfaction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.17-23
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• 2010

The corporate R&D(Research and Development) has a primary role of new product development and its potential is the most crucial factor to estimate corporate future value. However, its systemic inadequacies and inefficiencies, the shorten product life-cycle to satisfy customer needs, the global operations by outsourcing strategy, and the reduction of product cost, are starting to expose to R&D business processes. The three-phased execution strategy for R&D innovation is introduced to establish master plan for new R&D model. From information technology point of view, PLM(Product Life-cycle Management) is one of the business total solutions in product development area. It is not a system, but the strategic business approach that collaboratively manage the product from beginning stage to end of life in all business areas PLM functions and capabilities are usually used as references to re-design new R&D process. BPA(Business Process Assessment) and 5DP(Design Parameters) in PI6sigma developed by Samsung SDS Consulting division are introduced to establish R&D master plan and re-design process respectively. This research provides a case study for R&D process innovation. How process assessment and PMM(Process Maturity Model) can be applied in business processes, and also it explains process re-design by 5DP method.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.277-299
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• 1999

Since Chrysler Motor Co. had experienced the digital development system in the beginning of 1990's, most of leading automobile companies are trying to apply a digital information system for their own business process reengineering based upon concurrent engineering system from product planning phase. This is called as virtual DMU(Digital Mock-Up) system instead of the traditional PMU(Physical Mock-Up) system. By using the virtual prototype, all of the design requirements and system specifications can be checked, changed and optimized more quickly and more efficiently. This paper consists of five chapters for the DMU information system. In the 1$^{st}$ chapter, the principle of digital design system is suggested by using four basic modules such as product design module, process design module, manufacturing system design module and central control module. The basic scheme of DMU is introduced with the benefits of application in the chapter 2. In the chapter 3, a digital design process of new car development is explained with the detailed DMU design and design review processes. In the chapter 4, the practical DMU manufacturing techniques and applications are introduced as CAD/CAM analyses, DPA(Digital Pre-Assembly)reviews for development, production, operation and maintenance phases, digital tolerance analyses and digital factory analyses for assembling line simulation, automated robot welding processes, production jig ＆ fixtures and painting process simulation. Finally, the activities of digital design support; CAS-styling, CAE-engineering and CAT-testing are summarized for design optimization in the chapter 5. As today's automobile manufactures and related business organizations are struggling to compete in the global marketplace, they are concentrating on efficient use of DMU information system to reduce the new car development cost, to have shorten the delivery schedule and to improve product design quality. To meet the demand of those automobile industries on digital information systems, the CALS(Computer aided Acquisition and Logistics Support) and EC(Electronic Commerce)initiative has been focused as a dominant philosophy in defense ＆ commercial industries, specially automobile industries.s.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.8 no.11
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• pp.17-25
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• 1985

In these days the industrial management are characterized by mass production. Mass production which is not possible without the rationalization in the process of production and the efficient scale of management needs development of technical administration. The object of this study is set up on the rationalization in the process of production. And this rationalization is a means to the aim of industrial management. So as to realize the rationalization in the process of production, we should think on plan of production and the line of balancing in processes of work. The line of balancing is considered as one of very valuable administration methods. The line of balancing that controls capacities and loads so that processes of work might balance in each other makes away with happenings of idleness and stagnation during the process of work As a natural consequence it follows (1) shortening in the period of Production, (2) more efficient, (3) removing the lots of tine and matter, (4) more efficient using in elements for production. Therefore, through the labour productivity and the efficiency of the process of production increased by these effects, the line of balancing was intended to curtail the basic cost. Though the previously said line of balancing could be applied to production, it should not be said that we can completely balance in each lines of work. In other words it is impossible that the line of balancing is completely executed in every lines of work. For that reason, we should arrange the level of balancing in lines. Nowaday, in our country, it is true that the line of balancing is hardly executed at manufacturing industries. Therefore if we execute and apply the line of balancing to manufacturing industries and the larger field as well , we could curtail the basic cost, through which we could reinforce not only the international competative power but increase the labour productivity. As a result, by these effects, we would rationalize the industrial management.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.25-38
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• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.