• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.54-72
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• 2006

In recent years, the widespread application of quality management and measurement reliability has put increasing emphasis on procedures for periodic instrument calibration. By optimizing calibration intervals, unnecessary calibrations can be minimized, thereby reducing costs. Moreover, optimizing intervals will improve compliance with regulatory directives while ensuring maximal compliance with reliability targets. In this paper, we present Calibration Interval Analysis Program developed using several establishment methodologies of calibration interval for measurement quality and reliability improvement. Also, we perform calibration interval analysis for some measurement instruments and analyse its results.

• Journal of Korean Society for Quality Management
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• v.43 no.4
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• pp.511-520
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• 2015

Purpose: This study suggests a method of risk assessment based on RAM analysis in order to reduce the subjectivity. Methods: RAM analysis is used to assessment risk consequence(RC) and risk likelihood(RL). Result: The calculated result of the product, which has higher risk assessment, shows lower MTBF system. Conclusion: Risk assessment based on objective database will provide objectivity and effective quality control.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.661-676
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• 2016

Purpose: This study proposes to derive the quality characteristics recognized by the consumer for the smart car. The study contributes to the policy of the country automotive industry. This study confirms the impact on the customer satisfaction from the quality attribute. This study provides the information necessary for the establishment and management strategies of the Korean auto industry. Methods: This study was conducted adequate theoretical research on the subject first. Kano presents a model for the kind of smart car technology. Set the operational definitions for measuring and developing the questionnaire. Subjected to statistical analysis using the collected data, and carry out analysis Kano. It interprets the results of the study on the basis of the data obtained through the analysis. Results: Directly related to safety smart car technology improves customer satisfaction. Conclusion: The quality characteristics are required for user-centric Smart car.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.13-23
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• 2008

This research is to study the core factors for knowledge information database service and very important database service quality factors to improve customer satisfaction. The database service quality has been critical issue rather than just information service in these days, because the qualitative aspect is becoming more important factors rather than quantitative aspect. As database service quality has been influenced by satisfaction of database user, it needs to try to get excellent results by enhancing ability to obtain information. In order to satisfy this condition, it needs to measure database service quality more accurately first. In this study, we apply conjoint analysis to measure how much to give quality condition to achieve customer satisfaction.

• Journal of Industrial Technology
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• v.18
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• pp.17-25
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• 1998

Recently, there are a lot of studies to use a satellite image data in order to investigate a simultaneous change of a wide range area as a lake. However, many cases of a water quality research occur as problem when we try to extract the water quality factors from the satellite image data, because of the atmosphere scattering exert as bad influence on a result of analysis. In this study, and attempt was made to select the relative atmospheric correction method for the water quality factors extraction from the satellite image data. And also, the time-series analysis of the water quality factors extraction from the satellite image data. And also, the time-series analysis of the water quality factors was performed by using the multi-temporal image data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.46
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• pp.103-118
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• 1998

This study closely examines quality management's realities which manufacturing firms have and effective result controls access formula by comparison and analysis on the product of introduction quality control realities and quality management of manufacturing firms in Chollabukdo. In order to accomplish the purpose of this study, this research was progressed as order of literature review and survey. After literature review this study drew up questionnaire on the basis of foregoing literature and executed survey on manufacturing business taking TQM(Total Quality Management) in Chollado's area. The result of analysis are as follows. First, according to the analysis manufacturing of industry's realities, investment in TQM techniques seems to contribute to the performance of manufacturing firms, but most of manufacturing firms quality control do not have strategic orientations. Conseqently, general and strategic quality management system suitable for the realities of manufacturing industry are required. Second, It seems that manufacturing industry didn't recognize strategic importance for competitive advantage. Namely, It was found that firms with less TQM executed non-strategic quality management, compared with firms more TQM.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.835-841
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• 2018

In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.

• Korean journal of food and cookery science
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• v.25 no.1
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• pp.16-24
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• 2009

This study suggested a theoretical research system on the effects of corporate social responsibility in the foodservice industry upon perceived service quality. Self-administered questionnaires were completed by 509 customers and the data were analysed by frequency, factor analysis, reliability analysis, correlation analysis and multiple regression analysis. The primary results are as follows - Three corporate social responsibility (CSR) factors were obtained - economic responsibility, legal.ethical responsibility and philanthropic responsibility. In addition, five factors were obtained from the factor analysis of perceived service quality - tangibility, reliability, responsiveness, assurance and empathy. Correlation analysis showed a significant correlation between the CSR factors and the customers' perceived service quality factors. Multiple regression analysis, to verify the hypothesis, showed that CSR in the foodservice industry had a significant influence upon customers' perceived service quality; therefore, the research hypothesis was adopted. CSR, which had an effect on tangibility out of the minutely-perceived service quality factors, was indicated in the order of economic responsibility, legal ethical responsibility and philanthropic responsibility. Responsiveness, reliability, and assurance were influenced by legal ethical responsibility, economic responsibility and philanthropic responsibility, respectively, in order. Also, empathy was surveyed to be influenced by legal ethical responsibility, philanthropic responsibility and economic responsibility in order. Consequently, customers' evaluations of perceived service quality may be inferred to have positive effects when the customer recognizes whether the foodservice company performs social responsibility.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Journal of Korean Society for Quality Management
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• v.21 no.2
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• pp.48-60
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• 1993

We have depended upon the quantitative analysis for productivity measurement. and excluded the qualitative analysis from productivity measurement. But I think that the qualitative analysis must be considered so as to get a effective productivity measurement This paper intened to establish improvement productivity measurement adopted quality cost of all the qualitative elements.