• The Journal of Information Systems
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• v.25 no.3
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• pp.175-196
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• 2016

Purpose The development of new products in automobile parts industry plays an important role. Nowadays, automobile industry is one of the most important industries in the world, because automobile industry includes the industries of steel, machinery, electronic, etc. As a result, automobile industry embodies a country's level of development and competitiveness. The purpose of this study is to analyze the relationship between team characteristics such as communication, familiarity, and contiguity, and team performance through TMS in the process of new products development in automobile parts industry. Design/Methodology/Approach Based on real phenomenon of Korean automobile parts industry, this study tried to figure out the influence of TMS between team members for new product development on team performance. Thus, this study adopts communication, familiarity and contiguity as antecedents, and TMS with specialty, credibility and coordination as a mediating variable, and adopts team performance as a dependent variable. The data of questionnaire were collected from team managers who belong to new product development team in automobile parts firms. 171 questionnaires as data unit of group level from 80 Korean automobile parts firms were collected using face-to-face interview methods. Findings This study proved empirically that the relationship between antecedents and TMS has a positive influence, and TMS also has a positive influence on team performance. This study provides the managers an insight that automobile parts companies should pay more attention to set up TMS in order to improve higher performance between their team members for new product development of automobile parts.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.275-281
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• 2012

This research proposes the method to develop the recommendation system of automobile parts using task ontology technology. The proposed intelligent recommendation system is designed to learn the assembly process of automobile parts and the automobile parts are composed by ontology method for the recommendation of the parts. Using hierarchical taxonomy based on is-a relationship, the relationship between each part that makes up automotive engine was set. Each part has each different weighted value according to the knowledge of automobile experts. The weighted value is created by the number of selection that the users of the automobile recommendation system select while using the system and the final value calculated by the multiplication of the weighted value, which is recorded within the system. As a result, the users can easily identify which factor in which part is important by the output in the order of the priority. The intelligent recommendation system for automobile parts is a system to inform of the assembly, the usage and the importance of automobile parts without any specialized knowledge by expressing the parts that are closely related with the applicable parts when selecting any part on the basis of the generated data for the automobile parts that are difficult to access by users.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.213-219
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• 2003

This paper proposes an efficient and effective BOM management scheme for small and medium manufacturing (SME) companies that produce automobile parts. Automobile part's manufacturers produce very various products due to various automobile characteristics such as types, colors, and options of cars. These products are classified into product groups with common parts and like this product groups with commonality are regarded as product family. This paper proposes a BOM data model for product family structures and implements the practical EXCEL-based BOM management system for real small and medium manufacturing (SU) companies that produces automobile parts.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.221-234
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• 2013

In this paper, we report bankruptcy risk level forecasting result for automobile parts manufacturing industry. With the premise that upstream supply risk and downstream demand risk could impact on automobile parts industry bankruptcy level in advance, we draw upon industry input-output table to use the economic indicators which could reflect the extent of supply and demand risk of the automobile parts industry. To verify the validity of each economic indicator, we applied simple linear regression for each indicators by varying the time lag from one month (t-1) to 12 months (t-12). Finally, with the valid indicators obtained through the simple regressions, the composition of valid economic indicators are derived using stepwise linear regression. Using the monthly automobile parts industry bankruptcy frequency data accumulated during the 5 years, R-square values of the stepwise linear regression results are 68.7%, 91.5%, 85.3% for the 3, 6, 9 months time lag cases each respectively. The computational testing results verifies the effectiveness of our approach in forecasting bankruptcy risk forecasting of the automobile parts industry.

• Journal of Auto-vehicle Safety Association
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• v.15 no.2
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• pp.49-55
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• 2023

In this study, it was analyzed that it is necessary to clarify the quality certification parts system, to make certification codes mandatory for self-certification products that are normally distributed, and to conduct follow-up management so that prompt action and thorough management of test reports are necessary in case of defects. Big data-based data, the detailed number of parts replacement cases, parts cost by part group, share, average labor cost, calculated to analyze the detailed automobile parts industry, and automobile parts certification system and automobile parts market in major countries including Korea and Through the distribution structure analysis, improvement plans for the automobile quality certification parts system were derived.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.273-282
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• 2005

The purpose of this study is how to apply to e-Commerce of parts procurement system in the Japanese Automobile Industry and examine the influence of that through the case studies of automobile makers. In the Japanese automobile industry, B2B e-Commerce of parts procurement system have a shifted from closed circuits through VAN to opened IP-VPN and eventually to the JNX of internet environment. The Japanese automobile industry depends mainly on IP-VPN and JNX, especially EDI on a one to one basis with parts procurement suppliers. As to the future direction of B2B e-Commerce of parts procurement in the Japanese automobile industry, many of commodity parts will be traded among established participants on internet websites owned by automobile maker groups. Finally, for improvement of B2B e-Commerce of parts procurement in the Japanese automobile industry I suggested that there are 'revitalize of e-Marketplace', 'improvement of IT and business process', 'extension of B2B e-Commerce among small and medium sized suppliers'.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.2
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• pp.1-8
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• 2013

Remanufacturing of automobile parts is important for increasing the recycling resources. ECU(Electronic Control Unit) systems are becoming an increasingly important part of an automobile. But production company are reported in the ECU remanufacturing industry of domestic automobile parts due to a lack of remanufacturing technology and marketability. This paper introduces the ECU of remanufacturing, also grasps the structure and the analyzes failure cause that is external factors and fault in the characteristic design and steps in the Independent ECU remanufacturing process. The ECU manufacturing industry of the US was examined. The results in this paper could be used as the system information for further remanufacturing industry of domestic automobile parts.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.575-578
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• 2008

Currently the automobile parts manufacturing industry of most, it is difficult in the automobile part development and purchase and production management. And when new regulation it will develop this automobile parts and changing design, it is difficult in new registration and history management. Automatic history management and DB construction about automobile parts is in great demand. The purpose of paper is a design of data retrieval and real-time production integration management for automobile parts. Automatic data update is accomplished as input material changing process for design data change and integration management of history information about parts is possible when input the name of an part and the number of an part.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2002.05a
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• pp.117-120
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• 2002

This research is related with the development of CNC spinning machine. The purpose is to use for developing the practical parts of automobile such as dams, pulley, etc. The machine structure is made by heavy duty frame for the steel products with high strength. The hydraulic servo system is applied for giving the exactness of control. In order to improve the spinnability, the involute curves can be generated in CNC program In the future, this spinning machine is applicable to development of all the parts of industry such as electric parts, automobile parts, aerospace and the military supplies.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.185-192
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• 2013

The purpose of this study is to set the relationship between each parts that forms the engine of an automobile based on the 3D visualization technology which is able to be learned according to the skill of the operator in the industry field and to recommend the auto parts using a task ontology. A visualization method was proposed by structuring the complex knowledge by signifying the link and the node in forms of a network and using SOM which can be shown in the form of 3 dimension. In addition, by using is-a Relationship-based hierarchical Taxonomy setting the relationship between each of the parts that forms the engine of an automobile, to allow a recommendation using a weighted value possible. By providing and placing the complex knowledge in the 3D space to the user for an opportunity of more realistic and intuitive navigation, when randomly selecting the automobile parts, it allows the recommendation of the parts having a close relationship with the corresponding parts for easy assembly and to know the importance of usage for the automobile parts without any special expertise.