• Archives of design research
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• v.14 no.4
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• pp.57-64
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• 2001

The Korea's automotive industry has been changed since 1990's for the global reform of the automotive industry even though the rapid growth of domestic market from the late 1980's to early 1990's The cultural understanding for an automobile in the Korea society has been relatively lacked by the political reason, which focused on the economic growth through the industrialization. This works as a limit which caused by the point of view which is concentrated into the automotive industry as an economy developing tool. As much as being observed in the advanced nations which have the long history and huge scale of the automotive industry, an automobile is not only a single product, but also a way of life which has a cultural background. It is possible to develop a competitive quality and design with an understanding the cultural background. And the most important thing to the Korean automotive industry is a uniqueness with the cultural character which is gained by the cultural understanding of automobile as in the public Therefore the contribution of infrastructure of Korean automotive industry and culture would become more important in the future.

• Design & Manufacturing
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• v.12 no.2
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• pp.27-33
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• 2018

Korea's automobile industry, which has grown rapidly to become the world's fifth-largest automobile producer, To cope with environmental pollution and energy problems in order to prevail competitive edge in global market We are investing a lot of research personnel and costs. Among them, for realizing alternative light weight It is a part of the automobile module system that has achieved the technological development before the breakthrough in the injection molding process in the press process. Door module PNL was the subject of research. The door module PNL is expected to cause warpage before the mold production due to the thin and flat product characteristics and fiber orientation characteristic of the material. In this paper, CAE analysis and reverse correction tool Design. CAE analysis to obtain the results of weld line position, bending position and deformation value Through the correction tool, think3, the original product was modified before the mold production to improve the completeness of the parts. In fiber orientation, the position and size of the cooling channel in the mold, the position and size of the gate, Temperature, pressure, time, and work environment. Compared with the result of CAE analysis, the product that was reverse-corrected by Think3 was manufactured, and injection molding was performed. Injection molding products were tested 24 hours later. 3.5 mm to 7.0 mm, and under the fixed condition, the deviation was from 1.1 mm to 1.5 mm. Unlike the CAE analysis, the deviation of the actual injection pressure and the cooling temperature, the fiber orientation of the material, In order to solve this problem, it is necessary to compare the injection conditions with the database, I knew I had to catch the standard.

• Journal of Korea Technology Innovation Society
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• v.16 no.2
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• pp.530-558
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• 2013

New strategies in the automobile industry have been required with the advent of new green car era. This study examines how to develop the electric automobile industry among green cars effectively. It's necessary to change fragmentary relationship-based analysis focusing on stakeholders in the existing automobile industry into platform-based analysis. The purpose of this study aims to define an analytical framework for adopting a more developed industry platform. To this end, the following major issues are analyzed. First, what is the definition of industrial platform, why is it needed? Second, who participate in industry platform, what are the working factors of the platform? Third, who are participants in industry platform applicable to electric vehicle market and what are the working factors for electric vehicle industry platform? Fourth, this researcher derives analytic framework of electric vehicle industry platform based on related cases and discusses applicable measures for the framework.

• Journal of Distribution Science
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• v.4 no.2
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• pp.145-165
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• 2006

China has been recognized as the land of opportunity to provide valuable assets owing to dramatic economic developments in a recent year. In particular, automobile industry in china has been noticed by MNCs due to increasing of both steady demands and positive further expectations. The primary purpose of this case research is to examine distinctive channel strategy of automobile environment in China from the viewpoint of Dongfeng Yueda-Kia Motor. In order to accomplish of this, we visited production factory and sales office located in Shanghai, China during the period from April 20 through April 23, 2006. We expect that this case study provides with more opportunity to contribute to practical implications for Korean MNCs which do not entry china market yet.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.1-30
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• 2021

Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.1-9
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• 2022

As the automobile market has grown steadily in recent years, consumer expectations have also risen. Therefore, it is necessary for automobile sales offices to create innovative customer value that is different from the past. Auto sales offices are making efforts to select salespeople who fit their management strategies, but they are having difficulties in evaluating their actual internal capabilities. Therefore, in this paper, based on the study of Spencer & Spencer (2008), we reconstruct the core competencies required for salesperson selection, and analyze the core competencies required for today's automobile salespersons by deriving the hierarchical importance between those competencies using AHP analysis. As a result, it was possible to derive the importance of core competencies different from previous studies. This is believed to be mainly due to the modern social market, the characteristics of existing car salespeople, and the tendency of recent customers. This study showed that it is possible to set selection criteria according to the ease and importance of calculating the required competency through AHP analysis. In addition, if the existing research is based on job specifications, this study is different in that it analyzed the actual group of experts.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.129-140
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• 2018

In this study, we analyzed the electric vehicle (EV) purchasing behavior with market segmentation in Seoul using the binary logit model. For the model estimation, the experimental design of SP survey generated 24 scenarios with purchase price, charging station availability, and driving range of EVs. The results of market segmentation analysis indicated that the owners of subcompact and compact size cars were primarily affected by the purchasing price while those of mid and full size cars were more sensitive to the charging station availability. By housing type, the charging station availability was the most important factor for the residents of apartment while the purchase price was the most important factor to choose the EVs. These results presented that the EV supply strategy of the automobile manufacturer should be diversified according to the marketing target and the expansion of the public charging infrastructure should be the top priority in the government policy.

• Journal of the Korean Applied Science and Technology
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• v.34 no.4
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• pp.974-985
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• 2017

Although the number of registered cars in South Korea is about 22million but, there is no national standard for automobile reference fuel in South Korea. Reference fuel is the fuel used for certificating vehicle performance, emissions and fuel economy. Now, domestic market fuels are used as reference fuel. However, the quality of domestic market fuel is constantly changing by seasonal and fuel manufacturers. It may effect vehicle performance, emissions and fuel efficiency test result. On this study, market diesel fuel quality was monitored and reference fuel standard(draft) was set by reflecting market fuel monitoring result. Reference fuel standard(draft) was applied to CRDI engine.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.154-161
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• 2018

This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model (1) is low, and so the prediction performance of the model (1) is relatively better than that of the prediction model (2). As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.295-308
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• 2012

Software and Systems Product Line(SSPL) is a paradigm that has been developed and applied by European Union(EU) to achieve the productivity and competitiveness of EU industries on the world market. It is not just a simple system or software development methodology, but a sophisticated technology requiring capabilities for a high level of mass customization, platforms, processes and convergence of software and systems. EU has applied SSPL for the five selected industrial sectors including aerospace, automobile, medical equipment, consumer electronics and telecommunication equipment since 1990s and led the way to other industry sectors to stimulate the application of SSPL from 2006. In order for Korea to secure competitiveness in the manufacturing and service industries in the competitive borderless market, it is essential to gain the high level of capabilities for software development and convergence of software and systems. SSPL can be a powerful means to achieve this end. This paper discusses the paradigmatic concept of SSPL, how EU's major industries and companies have secured competitiveness through SSPL, key capabilities that are necessary for successful institutionalization of SSPL in Korea, and finally suggestions on core strategies to materialize the benefits of SSPL for Korea.