• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.161-169
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• 2011

International Organization for Standardization has recently published ISO 9001:2008 which is the basic requirements for a quality management system that an organization must fulfil to demonstrate its ability to consistently provide products that enhance customer satisfaction and meet applicable statutory and regulatory requirements. Not many empirical researches based on ISO 9001:2008 have been done up until now. In this article we outline transitional features for ISO 9000 quality management system (QMS) since its first publication in 1987. In order to effectively maintain ISO 9001:2008 QMS certification and continuously enhance quality management activities, we perform statistical analysis for the minor nonconformity data generated from follow-up audits for subcontractors of shipbuilding industry based on ISO 9001:2008 requirements. A Kruskal-Wallis test is used to show relationships between the minor nonconformity data and three classification criteria: the type of business, the size of business, and the number of follow-up audits.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.69-81
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• 2003

To manage a cluster of distributed server systems, a number of management aspects should be considered in terms of configuration management, fault management, performance management, and user management. System performance monitoring and reporting take an important role for performance and fault management. In this paper, we present distributed system architecture modeling of a performance monitoring and reporting tool. Modeling architecture of four subsystems are introduced: node agent, data collection, performance management & report, and DB schema. The performance-related information collected from distributed servers are categorized into performance counters, event data for system status changes, service quality, and system configuration data. In order to analyze those performance information, we use a number of ways to evaluate data corelation. By using some results from a real site of a company and from simulation of artificial workload, we show the example of performance collection and analysis. Since our report tool detects system fault or node component failure and analyzes performances through resource usage and service quality, we are able to provide information for server load balancing, in short term view, and the cause of system faults and decision for system scale-out and scale-up, in long term view.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.17-39
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• 1999

A strategic model on quality management system was developed and applied for the public service sector. The public service sector includes a wide range of organizations such as local authorities responsible for education, social services and housing, government departments, military forces, and public enterprises like post office and Korean Railroad. Quality management requires strategic integration of management system for achieving customer satisfaction. Questionnaire was developed, and data was collected and analyzed for this study. Conclusively, leadership and organization culture are the important drivers among the quality management activities. Human resource development and process management are significantly related to employee satisfaction, which also significantly influences on customer satisfaction in the public sector.

• Journal of Service Research and Studies
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• v.8 no.2
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• pp.41-65
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• 2018

With the dawn of society where individuals or enterprises based on data generate infinite profits, the significance of database operation management is growing centering on data quality. However, there are not many South Korean public or private entities managing them systematically. Against this backdrop, this study sought to investigate the current status and problems and explore how to improve from the perspective of auditors. To implement this study, audit checklist was improved and, based on it, auditors and IT experts were surveyed. The final data were analyzed to test the study hypotheses empirically. As a result of the analysis, it was found that the auditors had been highly satisfied with all of the items on the improved audit checklist for data quality-based database operation management. Moreover, non-auditors were also found to regard them within their acceptable range. This study is expected to help improve information system operation audit and enterprises data operation management.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.89-101
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• 2008

The most used tool for quality control is control chart in manufacturing industry. But it has limitations at current situation where most of manufacturing facilities are automated and several manufacturing processes have interdependent relationship such as CCM assembly line. To Solve problems, we propose quality management system based on data mining that are consisted of monitoring system where it monitors flows of processes at single window and feature extraction system where it predicts the yield of final product and identifies which processes have impact on the quality of final product. The quality management system uses decision tree, neural network, self-organizing map for data mining. We hope that the proposed system can help manufacturing process to produce stable quality of products and provides engineers useful information such as the predicted yield for current status, identification of causal processes for lots of abnormality.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.885-890
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• 2007

This study is to investigate factors that affect usage change in mobile data service (MDS). In the first, an exploratory study based on 378 survey responses was conducted to learn about important decision factors of MDS usage. It revealed discrepancy between the influencing forces of usage increase and those of usage decrease. Based on the findings from the exploratory study and the two-factor theory, we postulated information quality as the motivator and system quality as the de-motivator (or hygiene) of MDS. Then, a confirmative study was undertaken on their respective role in encouraging and discouraging the usage of mobile data service. A research model was proposed and subsequent hypotheses were empirically tested with partial least square (PLS) based on 478 responses from the users of mobile data service. It was learned that information quality (as a motivator) was positively associated with usage increase in mobile data service, but system quality (as a de-motivator) was not. Also, system quality was negatively associated with usage decrease, but information quality was not. Lastly, their association strength was partially moderated by the type of motivation for using MDS.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.278-285
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• 2012

Purpose: Weapon systems have the long life cycle unlike the consumer product. Thus, the reliability of weapon system is improved during the life cycle through the steady technical change. In this paper, we deal with the method of evaluating the reliability of weapon system with the field failure data. Methods: Especially, we present how to gather the field failure data and evaluate the reliability through the case of K-series weapon system. To evaluate reliability, the reliability growth model is used and the result is discussed. Results: It is steadily improved the reliability of K-series weapon system deployed from 2000 to 2004. The frequency of the failures that affect the mission is largely reduced and MTBMF(mean time between mission failure) is also improved. Conclusion: We can guess the trend of the reliability of weapon system with the field data through this study. Furthermore, it can be used to improve the reliability and make maintenance policy.

• Journal of Korean Society for Quality Management
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• v.35 no.3
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• pp.88-99
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• 2007

The AS9100 aerospace standard has become the aerospace quality management system standard instead of ISO9001 and MIL-Q-9858A by international aerospace manufacturing companies. The organization which adopts AS9100 standard is to be certified by an independent third party certification body as IAQG requests. The quality management system certification assessor shall utilize the AS9101 standard prepared by IAQG to assess AS9100 organization. In this paper, AS9101 quality system questionnaire is analyzed and scoring method which characterizes AS9101 is reviewed. Score attained can be utilized as an organizational quality index. Practical data gathered by certified assessors from 2002 to 2007 are analyzed and suggested to improve the organization's system operational efficiency based on the analysis results. Suggestions can be utilized by any organization to prepare assessment or to enhance the level of quality system maturity. This study is applicable to the future as well as present aerospace manufacturing activities throughout the world.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.57-64
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• 2016

Initial prevention activities and rapid propagation conditions is the most important to prevent diffusion of water pollution. If water pollutants flow into streams river or main stresm located in environmental conservation area or water intake facilities, we must predict immediately arrival time and the diffusion concentration to the proactive. National Institute of Environmental Research developed water pollution incident response prediction system linking dam and movable weir. the system is mathematical model which is updated daily. Therefore it can quickly predict the arrival time and the diffusion concentration when there are accident of oil spills and hazardous chemicals. Also we equipped with mathematical model and toxicity model of EFDC(Environmental Fluid Dynamics Code) to calculate the arrival time and the diffusion concentration. However these systems offer the services of an offline manner than real-time control services. we have ensured the reliability of data collection and have developed a real-time water quality measurement data transmission device by using the data linkage utilizing a mode bus communication and a commercial SCADA system, in particular, we implemented to be able to do real-time water quality prediction through information infrastructure of the water quality integrated management business created by utilizing the construction of the real-time prediction system that utilizes the data collected, the Open map, the visual representation using charts API and development of integrated management system development based on web maps.

• Journal of Computing Science and Engineering
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• v.5 no.1
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• pp.85-110
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• 2011

Achieving situation awareness is especially challenging for real-time data stream applications because they i) operate on continuous unbounded streams of data, and ii) have inherent realtime requirements. In this paper we showed how formal data stream modeling and analysis can be used to better understand stream behavior, evaluate query costs, and improve application performance. We used MEDAL, a formal specification language based on Petri nets, to model the data stream queries and the quality-of-service management mechanisms of RT-STREAM, a prototype system for data stream management. MEDAL's ability to combine query logic and data admission control in one model allows us to design a single comprehensive model of the system. This model can be used to perform a large set of analyses to help improve the application's performance and quality of service.