• Title/Summary/Keyword: 자동차부품제조업

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The Effect of Emotional Intelligence on Organizational Citizenship Behavior and Innovative Behavior in Manufacture of Automobile industry (자동차산업에서의 조직시민행동과 혁신행동에 대한 감성지능의 영향과 진정성리더십의 조절효과)

  • Kim, Jong-Kwan
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.67-80
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    • 2017
  • Today, Emotional Intelligence of the leader has become important in order to achieve the achievement of the organization. Especially, the automobile industry is somewhat conservative and the organizational culture of the subcontractor is still much more important than the service industry which has a flexible. In this context, I examine the Emotional Intelligence on Organizational Citizenship Behavior and Innovative Behavior in manufacture of automobile industry focusing on moderating effect of Authentic Leadership. This Study enhances the understanding of Emotional Intelligence and extends the research. Future research will needed to pioneer research methods such as various aspects of measurement and time series of various variables.

An Empirical Study on the Factor Analysis of Dependence on Japan in the Korean General Machinery Industry : Focusing on the Manufacturing Companies of Components and Parts (일반기계산업의 대일 의존 유발요인 분석에 관한 실증 연구 : 부품생산업체 중심으로)

  • Park, Joohyoung;Lee, Heesang;Park, S.-Jin
    • Journal of Korea Technology Innovation Society
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    • v.16 no.3
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    • pp.582-604
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    • 2013
  • The machinery industry provides infrastructure to many manufacturing industries and it has strong influences on performance and quality of products. However, Korean economic growth has been constantly causing the korean general machinery industry to significantly depend on Japan. To solve this problem, many industrial policies have been tried. In this paper, we divide the value chain of general machinery industry into four steps; technology development step, manufacturing step, marketing step, and after-sales management step. We study the relationships between each of these steps and the awareness of dependency on Japan. For empirical analysis we surveyed 207 domestic companies in general machinery industry. The findings are that the three factors, technology development competency, marketing competency and after-sales management competency have significant relationships with dependence on Japan. Manufacturing competency is not a significant factor. As control variables, the type of manufacturers has effect on dependency on Japan. The company size, the kinds of products and technology levels of products don't have effects on the relationship between the four steps of the value chain and dependency on Japan. To overcome the trade imbalance with Japan in the general machinery industry, we recommend to develop technology development competency, marketing competency, and after-sale management competency. Also we need to adopt industry supporting policies, not depending on all three control variables of company sizes, the kinds of products and the technology levels of products, but depending on the type of manufacturers.

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A Development of Defeat Prediction Model Using Machine Learning in Polyurethane Foaming Process for Automotive Seat (머신러닝을 활용한 자동차 시트용 폴리우레탄 발포공정의 불량 예측 모델 개발)

  • Choi, Nak-Hun;Oh, Jong-Seok;Ahn, Jong-Rok;Kim, Key-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.36-42
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    • 2021
  • With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.

A WMS Model Interfacing with Material Warehouse in Real Time in Puting Materials to Manufacturing Processes - in Automobile Parts Manufacturing Industry - (생산공정에 자재투입시 자재창고와 연동되는 WMS 모형 - 자동차 부품 제조업을 중심으로 -)

  • Kong, Myung-Dal
    • Journal of the Korea Safety Management & Science
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    • v.16 no.2
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    • pp.147-155
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    • 2014
  • This paper suggests a specific model that could efficiently improve the interaction and the interface between WMS(Warehouse Management System) terminal and PDA terminal through real time processing in manufacturing shop. The proposed model shows that the new method can more efficiently perform to reduce processing time for shipping and receiving, compared with the current approach. As a result of the certain test among the main server, WMS system, and PDA terminal, it is noted in case of the new proposed system that the effects of proposed model are as follows: (a) While the receiving lead time for carrying by the current method was 2 hours, the receiving lead time by the new method was 20 minutes. (b) While the shipping lead time for carrying by the current method was 1 hours, the shipping lead time by the new method was 15 minutes. (c) While the inventory rate of accuracy by the current method was 85%, the inventory rate of accuracy by the new method was 98%.

A Study on Surface roughness in High speed face milling machining of Al2024 (Al2024의 고속 정면밀링 가공에서 표면 거칠기에 관한 연구)

  • Jang, Sung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.2
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    • pp.603-608
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    • 2014
  • In many manufacturing such as the components of airplane and automobile, aluminum alloys(Al2024) which remarkable in low specific gravity and high strength have been utilized effectively. Face milling machining technology for surface roughness quality of workpiece has been applied in these fields. A face milling machining with chamfered throw away type insert tip can produce a perfect flat surface only in theory. But It is impossible because of many unwanted factors, namely, cutting temperature, plastic deformation, dynamic effect, etc. In this paper, experimental investigations are performed to improve surface roughness after high speed machining of Al2024 using qualified face milling cutter body for high speed machining.

A Study on the Implementation of Distributed MRP to Increase the Utilization of the MES System in the Automobile Parts Manufacturing Industry (자동차부품 제조업의 MES 시스템 활용도를 높이기 위한 분산형 MRP 구현에 관한 연구)

  • Nam, Eun-Jae;Kim, Kwang-Soo
    • Journal of the Korea Safety Management & Science
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    • v.24 no.2
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    • pp.127-134
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    • 2022
  • Production management in the automobile parts industry is carried out according to the production plan of the customer, so it is important to prevent shortages in product supply. As the product composition became increasingly complex, the MES System was built for the purpose of efficient production plan management and inventory management, but its utilization is low. This study analyzed the problems of the MES system and sought to improve it. Through previous studies, it was confirmed that the inventory management of the pull approach that actually occurred in the warehouse is more suitable than the push approach based on the forecast of the warehouse for the volatility, complexity, and uncertainty of orders in the auto parts industry. To realize this, we tried distributed MRP by using the ADO function of VBA to link the standard information of the MES system with Excel and change the structure of the BOM table. Through this, it can help increase the accuracy of production planning and realize efficient inventory management, thereby increasing the utilization of the MES system in the auto parts industry and enhancing the competitiveness of the company.

Development of Auto-spray system to improve the quality of 3D Scanning Quality (3D 스캔 시 품질향상을 위한 스프레이 도포 자동화 장비 개발)

  • Kim, Wonseop;Jo, Jae Heung;Kim, Dongsu;Kim, Donggyoo;Hong, Seokmoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.100-105
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    • 2016
  • The use of 3D scanners has increased gradually according to increasing 3D printer applications. The precision inspection of car parts or electronic components is an important issue not only in the field of mass production, but also in small-scale production. Recently, 3D scanner equipment efficiency and recognition technology has been improved continuously. On the other hand, the spraying time to prepare 3D scanning is time-consuming and has environmental problems. Therefore, an automatic spray system has been in demand by the manufacturing industry. Automatic spray equipment was newly developed for the preparation of a 3D scanner. In this research, the automatic spray system guarantees uniform spray operation. To determine the optimal spray parameters, various spraying methods, solutions and conditions were tested and compared with the experiments. The preparation time for 3D scanning was reduced to 1/10 compared to the manual spraying time, and indicates the optimal spraying conditions through a comparison of various spray coating conditions.

Strategies of Korean Trade Companies According to Russian WTO Accession (러시아 WTO가입에 따른 우리나라 기업의 대응전략)

  • Lee, Jae-Hyun
    • International Commerce and Information Review
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    • v.15 no.3
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    • pp.313-332
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    • 2013
  • Large tundra of the Russian Empire, has rich resources and science and technology, and a huge domestic market potential is rapidly changing. Based on the abundant energy resources such as oil, gas, and minerals, as foreign trade is active, the huge capital is moving. And commitment the active SOC by improving laws and regulations and changes in the structure of the Russian economy. One of them pushed the WTO since 1993, 19 years to see fruition join the WTO (World Trade Organization). As the official entry into force August 22, Russia, July 10, 2012, Congress passed the treaty after joining the WTO and of the 156th WTO member countries, was officially join. As the WTO, Russia has the world's 11th-largest economy in the steel tariffs from 30% to 15% are exported to Russia, South Korea Car TV parts from 10% to 0%, reduced from 20% to 5% Korean export companies to export to Russia, etc., is expected to become the new land of opportunity. Russia hopes the changes improve the investment environment, the service industry, manufacturing revitalization the macroeconomic sectors of the economy through the WTO, and forecast, but the consumption increased revenue due to tariff cuts, falling import prices and the real economy, and weak manufacturing base. On the one hand, the perspective of concern. In conclusion, Russia joining the WTO, and the feed to improve the fairness and transparency of the market opening, the Russian advance in Korean companies be facilitated and strong complementary cooperation, especially in manufacturing is expected. In this paper, after Russia joining the WTO, trade liberalization, and ready for a new era of economic cooperation between Korea and Russia, at the point of expanding openness to propose strategies to analyze the problems of Korean companies during the Russian advance.

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COVID-19's Impact on the Space Industry and Countermeasures in Korea (코로나19가 한국 우주산업에 미친 영향과 대응방안)

  • Kim, Jong-Bum
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.195-201
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    • 2020
  • COVID-19 is hitting the world. In order to bring about new ways of innovation in the space sector, we need to analyze changes in the space sector and design new challenge strategies. COVID-19 exposes inherent vulnerabilities in the space sector. In particular, COVID-19 is causing supply chain shocks in the space industry, resulting in delays in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. As the overall impact of New Normal on the industry is overall, we continue to look at it in the space sector. COVID is causing supply chain shock in the space industry. It causes a delay in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. In the supply of launch services, the launch schedule is being delayed, but the main launch is still taking place. Demand for major applications such as environmental monitoring is soaring in the earth observation utilization sector. Analyzing the impact on manufacturing, the vendor-based contraction is bringing delays in the supply of systems, subsystems and components, and launch service providers are trying to minimize delays in the launch schedule.

Case Study on Revising Curriculum of a Industrial High School through Analysis of Manufacturing Workforce demand focused on Chungnam Province in Korea (지역 기반 산업의 인력 수요 분석을 통한 공업 계열 특성화 고등학교의 교육과정 개편 사례 연구)

  • Yi, Sangbong;Choi, Jiyeon
    • 대한공업교육학회지
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    • v.38 no.1
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    • pp.221-238
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    • 2013
  • The purpose of this study was to revise and reorganize the direction of the department of ${\bigcirc}{\bigcirc}$Industrial High School though analysis of manufacturing status and workforce demand in Chungnam province focused on the Geumsan Area. In the study, ${\bigcirc}{\bigcirc}$Industrial High School of the status and actual conditions were identified through interview, literature review and data analysis. Surveys of the school teachers, parents and students was conducted in order to investigate the awareness of renaming and reorganization of school departments, curriculum revision of the school. Statistical data was collected and analyzed in order to figure out manufacturing industry and its workforce demand of Chungnam Province in Korea. Findings of the study were as follows: Small and medium enterprises of manufacturing industry have been developed a lot in Geumsan Area in Chungnam province. Four major industries including (1) automobile parts, (2) electronic and information equipment, (3) Cutting edge culture, and (4) Agricultural-livestock and bio are intensively fostered as regional strategic industries in the Chungnam province. The manufacturing industry has a 33.6-percent, and then service-mining and manufacturing industry has a 80.0-percent of total number of employee in Geumsan Area. It is expected that industrial workforce demand of Geumsan Area come out of manufacturing and service-mining industrial sector. The following is recommended for the school curriculum revision: (1) focussing on mechanical control for the revision of computer applying mechanical department, (2) focussing on automation electric equipment for the revision of electric control department, (3) focussing on food process control for revising of bio-food industrial department. It's helpful to make a progress of the school that establish identification of industrial specialized high school as an institution of vocational education at the secondary level through supplying qualified workforce to Manufacturing industry in Chungnam Province.