• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.131-140
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• 2011

Today, due to the global recession car sales have been decreased rapidly and auto makers are competing continuously to expand their market share. Automakers are struggling in order to secure competitive cost and quality through continuous cost reduction and quality innovation activities to win in the competition. In this situation, auto parts makers are trying to reinforce price competitiveness by reducing COPQ (Cost Of Poor Quality) in the mass production stages by securing the quality of components in advance from the design stage through DFSS (Design For Six Sigma) activities which is 6 sigma approach in the R&D field. However, auto parts makers have been undergone various confusion, feeling difficulties to get interrelationship among various activities. Thus, this study is going to suggest approach method for much more effective R&D activities by securing interrelationship between ISO/TS 16949 system established in the auto parts industry and DFSS activities.

• Information Systems Review
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• v.8 no.3
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• pp.125-134
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• 2006

This article adopts a decision tree algorithm(C5.0) to predict customer churning in online auto insurance environment. Using a sample of on-line auto insurance customers contracts sold between 2003 and 2004, we test how decision tree-based model(C5.0) works on the prediction of customer churning. We compare the result of C5.0 with those of logistic regression model(LRM), multivariate discriminant analysis(MDA) model. The result shows C5.0 outperforms other models in the predictability. Based on the result, this study suggests a way of setting marketing strategy and of developing online auto insurance business.

• Journal of the Korea Society of Computer and Information
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• v.23 no.5
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• pp.55-63
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• 2018

In this paper, we designed a system that integrate and organize customer management programs and databases, which are performed independently of each other. And we designed the system so that it can be used for future marketing by implementing the system to share and efficiently utilize mutual independent maintenance information. From the CRM perspective, a comprehensive information system ghat manages every information on both new cars and second hand cares grom their purchase, to parts, to insurance, and to scraping needs to be established. The following should be applied in the establishment of the IAMS. Auto makers or auto maintenance services providers exclusive management of information on customers and their car maintenance services is aggravating the customer's inconvenience and complaints. In addition, the service provider has difficulty providing consistent maintenance services because it has little information about previous auto maintenance services the customer received. Besides, the customers who have no information on costs of parts and labor tend to hesitate to trust the costs of maintenance services. This study to provide customers with systematic maintenance service and causing them some inconvenience. Therefore, in order to maintain existing customers, auto maintenance service providers should provide services the customers wanted on the basis of accurate information about them.

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.223-228
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• 2010

Recently, the various information according to the company management is originated in the change of the rapid company environment. And the necessity of the administration,that is systematic and efficient toward the various document of a form, is gradually increased. At the same time, the efficient management ability of the various standard document obtained the specialized quality authentication system including the ISO/TS16949, ISO14001, quality 5 star, and etc., it maintains occupies the very important part as to the company management. This research suggests the standard business process of the auto part supplier for the efficient management of the standard document. In addition, by building and managing the standard management system will be able to expect the more efficient document management and the product reliability insurance.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.231-235
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• 2010

Recently, according to the total quality management environment, the necessity of the systematic administration about the quality information is gradually enlarged as to vehicle related company. Accordingly, related companies require the operation of the information management system matched with the quality administration task level. And through the storage and share of the efficient quality information, they try to solve the customer claim about the quality and prevent the quality problem recurrence of product. This research suggests the standard business process of the auto part supplier for the efficient management of the quality information and the quick correspondence of the quality problem. In addition, by building and managing the quality information management system will be able to expect the more efficient quality management and the product reliability insurance.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.6
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• pp.545-550
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• 2004

Recent natural disasters like flooding and slope collapse have shown the need for natural risk management system, as they endanger directly public health and cause severe damages on the national economy. In order to improve the efficiency of risk management systems, this management system based on AANN(Auto-Associative Neural Network)is proposed in this paper. AANN can be effectively used for identification of abnormal data and data compression. The proposed AANN-based risk management system collects and stores measurement data from sensors and transmits them to remote server for web-monitoring. Generally, it is desirable to transmit the compressed data instead of raw data in normal state. However, if dangerous situation happens, rapid tramission of measurement data should be required. These requirements are easily satisfied by using AANN. In order to verify the feasibilities of the proposed system, The AANN-based risk management system is applied to slope collapse monitoring system.

• Journal of Cardiovascular Imaging
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• v.31 no.3
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• pp.135-141
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• 2023

BACKGROUND: Global longitudinal strain (GLS) is an accurate and reproducible parameter of left ventricular (LV) systolic function which has shown meaningful prognostic value. Fast, user-friendly, and accurate tools are required for its widespread implementation. We aim to compare a novel web-based tool with two established algorithms for strain analysis and test its reproducibility. METHODS: Thirty echocardiographic datasets with focused LV acquisitions were analyzed using three different semi-automated endocardial GLS algorithms by two readers. Analyses were repeated by one reader for the purpose of intra-observer variability. CAAS Qardia (Pie Medical Imaging) was compared with 2DCPA and AutoLV (TomTec). RESULTS: Mean GLS values were -15.0 ± 3.5% from Qardia, -15.3 ± 4.0% from 2DCPA, and -15.2 ± 3.8% from AutoLV. Mean GLS between Qardia and 2DCPA were not statistically different (p = 0.359), with a bias of -0.3%, limits of agreement (LOA) of 3.7%, and an intraclass correlation coefficient (ICC) of 0.88. Mean GLS between Qardia and AutoLV were not statistically different (p = 0.637), with a bias of -0.2%, LOA of 3.4%, and an ICC of 0.89. The coefficient of variation (CV) for intra-observer variability was 4.4% for Qardia, 8.4% 2DCPA, and 7.7% AutoLV. The CV for inter-observer variability was 4.5%, 8.1%, and 8.0%, respectively. CONCLUSIONS: In echocardiographic datasets of good image quality analyzed at an independent core laboratory using a standardized annotation method, a novel web-based tool for GLS analysis showed consistent results when compared with two algorithms of an established platform. Moreover, inter- and intra-observer reproducibility results were excellent.

• Journal of Korean Society for Quality Management
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• v.12 no.2
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• pp.33-36
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• 1984

This paper is concerned with the optimal replacement policy of auto-scale with increasing error-variance. This optimization model is to minimize the sum of the cost of defective and excess weight allowance for a target value. The numerical example for the proposed problem is solved by Golden-Section Search and Simpsons's rule.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.29-32
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• 2000

We proposed a neural network based “left shoulder”detector. The auto-associative neural network was trained with the “left shoulder”patterns obtained from the Korea Composite Stock Price Index, and then tested out-of-sample with a reasonably good result. A hypothetical investment strategy based on the detector achieved a return of 132% in comparison with 39% return from a buy and hold strategy

• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.107-116
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• 2001

The purpose of this paper is to solve the problem that is occuring in assembly process and to progress the productivity by process analysis methods for manu-open and closed model(DWV-20/25DRG), and auto-open and cloesd model(DWV-20/25/DRA)-ventilation fan. Also, this paper is studied by data of ＇D＇ company's product.