• Journal of the Korea Safety Management & Science
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• v.20 no.3
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• pp.47-63
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• 2018

The purpose of this research was to test the effects of technological innovation capability and technology commercialization capability on new product performance of the companies in electronics industry and the moderating role of perceived usefulness of government R&D support. For this study, Research data were collected through questionnaire instruments from the sample of 346 employees in 17 electronics companies of metropolitan area. The 305 sample was selected and analyzed by hierarchical regression technique. The results showed that technological innovation capability and technology commercialization capability had a positive effect on new product performance. And also found out perceived usefulness of government R&D support had the moderate roles between only technical innovation system our of three technological innovation capability factors and new product performance, and also between only manufacturing capability our of three technological commercialization capability factors and new product performance. With the research results, the implications for electronics company were discussed, and the directions for future research were suggested.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.53-72
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• 2004

Today we are observing a lot of injuries, casualties, and property losses that are mainly caused by the defects of products. In order to derive safety designs, which minimize the possibility of such product liability-related accidents, we need to take into account the user-product interaction as an important part of the danger factor analysis. Existing risk analysis techniques, however, have some limitations in detecting comprehensive danger factors that are peculiarly involved in human errors and the functional defects of products. Researches on danger factor analysis regarding the user-product interaction have been carried out actively in ergonomics. In this paper, we suggest a novel product risk analysis technique, which is more objective and systematic compared to the previous ones, by combining a modified TAFEI (Task Analysis For Error Identification) technique with SASA (Systematic Approach to Accident Scenario Analysis) technique. By applying this technique to the product design practice in industry, corporations will be able to improve the product safety, consequently strengthening the competitiveness.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.15-25
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• 2016

SCM activities in a company are considered as total innovation through synchronizing supply and demand while maintaining appropriate inventory level and reducing the business operating costs. Until now, even several researches are carried out on the SCM performance of the companies which have introduced and been operating SCM, the research on the cost analysis for the inventory which occurs frequently on supply chain is still insufficient. Especially, for the electronics industry in which the product depreciation is sharp caused by the short product life cycle and the complexity of distribution channels, even the inventory related costs are a major factor in business management, since the current estimated criteria of inventory costs are limited to the interest and maintenance management costs, the criteria do not reflect the total influence of the product depreciation and lost opportunity cost which are related to the business management. Furthermore, even though the rapid price drops of the distributor inventory caused by the frequent new model launch can be covered by the product manufacturers, the scale of total costs related to the inventory has not been conceived because the price compensation is traditionally considered as a market costs. In this research, we analyzed the inventory characteristics of electronics industry in which the price depreciation happens frequently, newly defining the estimated criteria of the product total inventory cost which includes price depreciation from the product manufacturers' view. Finally we focus on the case study of a representative electronics company and verify the scale of the influence on management performance.

• Journal of Information Technology Services
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• v.4 no.2
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• pp.47-59
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• 2005

S/W product line is a S/W product or a set of S/W system, which has common functions. We can develop a specific S/W product, which satisfiesrequirements of a particular market segment and a mission in a specific domain by reusing the core asset such as the developed S/W architecture through the S/W product line. S/W development methodology based on the S/W product line can develop a S/W more easily and fast by reusing the developed S/W core asset. An advanced country of S/W technology selects S/W product line as a core field of S/W production technology, and support technology development. In case of USA, CMU/SEI (Carnegie Mellon University / Software Engineering Institute) developed product-line framework 4.0 together with the industry and the Ministry of National Defense. Europe is supporting the development of product line technology through ITEA(IT for European Advancement) program. In this paper, we aim to construct reference architecture of S/W product line for production of the S/W product line.

• Journal of the Korean Society of Industry Convergence
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• v.4 no.1
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• pp.3-9
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• 2001

Many products related to automobile and airplane have been manufactured by semi-solid process. There are many parameters in semi-solid process such as punch velocity, die temperature, and solid fraction of material. Among these parameters, solid fraction of material is one of the most important factors to determine quality of product. To obtain solid fraction of a certain semi-solid product is very necessary and useful for inspecting and analyzing the product. In this paper, image analysis program for microstructure by semi-solid forming process has been developed with the simple apparatus such as a personal computer and scanner, instead of expensive image analyzer.

• IE interfaces
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• v.18 no.2
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• pp.148-157
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• 2005

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

• Proceedings of the Technology Innovation Conference
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• 2000.06a
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• pp.47-64
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• 2000

This paper analyses characteristics of the numerical controller industry in market formation and the Flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation betweenusers and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cardle market to them which produce inferior quality and lower price than importer products. The credibility of the permance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, Which have been conventional industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology policy.

• Journal of Venture Innovation
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• v.2 no.1
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• pp.23-31
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• 2019

The primary goal of this study is to develop proper indicators for evaluating and selecting an organization that contributes product safety in his industry. The indicators of product safety include input, process, and output in the sequences of product safety activities and systems. The indicators are proposed by the side of measurable and unmeasurable index. In detail, the indicators are consist of 3 parts - product safe management, efforts for product safety and the performance of product safety. The indicators are itemized by size of enterprise (large, medium and small size) due to the difference of their system and management capability of product safety. To get the indicators reasonably, the opinions of experts and VOC of the industrial field are considered. And the indicators are also divided by job position and level(an executive vs. worker). The items of indicators are 20 and the score is 200, that are the same whichever the case may be. The indicators are useful tools for selecting a person who serves the development of product safety in his industry.

• Journal of Fashion Business
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• v.23 no.6
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• pp.101-115
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• 2019

3D printing is attracting attention from all industries as it enables the development of personalized product design to meet consumer needs by establishing a mutual connection system between production, management and consumers. However, there are still limitations to applying them as apparel materials, and research on the recognition of 3D printing or the preference for fashion products is needed to actually commercialize 3D printing in the fashion industry. In this study on the development of various product designs using 3D printing technology in the fashion industry, an analysis of 255 questionnaires was conducted to determine the preferences and purchase intention trends of fashion product design using 3D printing for college students. Data analysis was performed with IBM SPSS Statistics (V.24). 'Fashion sensitive pursuit', 'Individuality & brand pursuit' and 'Functional convenience' was interested in fashion accessories using 3D printing technology and customized fashion apparel products using 3D printing. 'Functional Convenience-oriented' and 'Practical Purchasing-oriented' type showed that the functionality and durability of products made using 3D printing technology were important. And 'Individuality pursuit' type indicated that design and applied materials were important when producing products using 3D printing technology.

• Advances in Computational Design
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• v.4 no.1
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• pp.43-52
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• 2019

Variation Analysis (VA) is used to simulate final product variation, taking into consideration part manufacturing and assembly variations. In VA, all the manufacturing and assembly processes are defined at the product design stage. Process Capability Data Bases (PCDB) provide information about measured variation from previous products and processes and allow the designer to apply this to the new product. A new challenge to this traditional approach is posed by the Industry 4.0 (I4.0) revolution, where Smart Manufacturing (SM) is applied. The manufacturing intelligence and adaptability characteristics of SM make present PCDBs obsolete. Current tolerance analysis methods, which are made for discrete assembly products, are also challenged. This paper discusses the differences expected in future factories relevant to VA, and the approaches required to meet this challenge. Current processes are mapped using I4.0 philosophy and gaps are analysed for potential approaches for tolerance analysis tools. Matching points of simulation capability and I4.0 intents are identified as opportunities. Applying conditional variations, incorporating levels of adjustability, and the un-suitability of present Monte Carlo simulation due to changed mass production characteristics, are considered as major challenges. Opportunities including predicting residual stresses in the final product and linking them to product deterioration, calculating non-dimensional performances and extending simulations for process manufactured products, such as drugs, food products etc. are additional winning aspects for next generation VA tools.