• 한국국방경영분석학회지
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• 제28권2호
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• pp.95-115
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• 2002

Configuration management is a process that establishes and maintains consistency of a product with its requirements and configuration information throughout its life cycle. This paper deals with the improvement of configuration management for weapon system. We analyze configuration management system, organization, human resource, regulations, and automated system of USA. Then we apply the ideas to our proposal for the improvement of configuration management. The proposal for the improvement of configuration management consists of three parts. The first one is the improvement of configuration management for weapon system by R&D, the second one is the improvement of configuration management for weapon system by foreign acquisition, and the last one is the improvement of configuration management in the aspects of organization, human resource, regulations, and automated system. This paper will be contributed to the activation of configuration management system and the efficiency of acquisition project management.

• 한국조리학회지
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• 제9권3호
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• pp.114-129
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• 2003

This study aimed at drawing a scheme for more developmental and rational improvement of the screening examination system to cope with the rapidly changing industrial environment positively, enhance the food service industry qualitatively, and reinforce engaged specialty of those engaged in the industry. To set a rational improvement scheme for a cook screening system, the study conducted a prior study on job analysis of those engaged in cooking, a review on relevant laws, and a theoretical research on those problems in the current cook screening examination system. On this basis, it understood the actual condition of the current cook screening system and implemented a demonstrative analysis through a survey to draw a section on a future improvement scheme. The results were analyzed largely from two viewpoints: the general condition of the cook screening system and the future improvement scheme for the system.

• 동력기계공학회지
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• 제19권2호
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• pp.84-89
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• 2015

The occurrence of algae caused by eutrophication of fresh water is a pollution source to destroy the aquatic environment. When the high voltage electric field is applied in the water, When a high voltage is applied to the electric field in the water, the algae can be broken the balance of cell membranes, and is dead. In this paper, we develop a water quality improvement system for generating an electric field having a higher energy than the zeta potential when a high voltage is applied to 4,000V. To ensure the mobility of the water quality improvement system, we designed the PV generation system using the optimal size technique that is based on the model of power lack ratio. By evaluating the output characteristics of the water quality improvement system, power generation characteristics of the PV generation system, and battery charging characteristics, we can show that the proposed system can be applicable to the water quality improvement system inhibiting the growth rate of the algae in the fresh water.

• 산업경영시스템학회지
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• 제34권3호
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• pp.71-78
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• 2011

This parer proposes application of quality costing system in quality improvement area. Cost of quality in quality improvement area provides a valuable of both providing the need for improvement and giving a starting point for project. WQCMS(Web-based Q-Cost Management System) have ability to collect and analyze quality data generated from various different departments in the inside or outside of the enterprise without any limitations, if end-users are able to access wide area network. It provides the capability to integrate quality information from database and to generate various easy analysis reports to management's needs using built-in analysis tool modules with real-time. Web-based quality cost management system to measure the performance of quality improvement activities in the business firms. This paper proposes standard model for quality cost process in quality improvement area.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.582-587
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• 2007

ERP system is a good one because it provides required data to the Board of Directors at the right time, but needs to collect many data in this system. Nevertheless, increase in data leads to the system's quality deterioration which makes companies to carry out quality improvement. In order to solve quality deterioration problem, a company's quality improvement director must execute under acknowledgement of the relationships between sectors to be improved, which are DBMS, Application, System, Data Management, Archiving, and Reorganization. But in many cases, these relationships are ignored due to massive size of each of the sectors, resulting fragmental quality improvement operation. This case paper proposes a solution to effectively solve quality deterioration problem created by the massive data produced while operating ERP System(constructed by SAP package and web). First, it defines the sectors where quality improvements are vital, and lists out things to be considered. Then, by analysing the working process of these sectors, proposes the most efficient order of the improvement process. This case will eventually help the company's quality improvement director to execute quality improvement most effectively without trials and errors, which is this paper's ultimate goal.

• 산업경영시스템학회지
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• 제27권4호
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• pp.170-178
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• 2004

As quality becomes a primary leading factor of organizational success, various management strategies have been introduced to improve quality competitiveness. Quality competitiveness, however, is difficult to measure and numerous organizations are struggling to set realistic improvement objectives. The primary purpose of this research is to propose a systematic approach to help the practitioners develop an improvement plan for their organizational quality competitiveness. This approach employs DEA(Data Envelopment Analysis) to evaluate relative efficiency among companies which make efforts to improve their quality competitiveness. It presents an integer programming model to elicit an optimal improvement plan for meeting a target level. A decision support system is also developed for the managers to plan a sequential improvement plan based on both DEA model and the integer programming model.

• 안보군사학연구
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• 통권8호
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• pp.383-420
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• 2010

This article is focusing on the improvement of weapon system test & evaluation, aimed at the weapon system in the research development stage. This article suggests improvement directions in three aspects(organization and system, skilled manpower and technology, test facilities of weapon system test & evaluation) as follows. 1) Weapon system test & evaluation organization and system a. Establishment of comprehensive test & evaluation system b. Making regulation for comprehensive test infrastructure management. c. Standardization of test & evaluation process, which can be used in special subject to army, navy and air force. 2) Skilled manpower and technology of weapon system test & evaluation a. Training & education, management of test & evaluation experts. b. Establishment of skill management system of test & evaluation. 3) Test facilities of weapon system test & evaluation a. Establishment of comprehensive improvement direction of test & evaluation installation and equipment. b. Consideration of counter measures to prevent overlapping investment, and to use the test & evaluation resources efficiently. c. Establishment of organic network for the effective use of test & evaluation installation and equipment. d. Establishment of detailed cooperation plan for the commonage of test & evaluation facility and equipment.

• 한국의료질향상학회지
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• 제8권2호
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.352-357
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• 2001

This study presents an analysis of healthcare quality indicators using data mining for developing quality improvement strategies. Specifically, important factors influencing the inpatient mortality were identified using a decision tree method for data mining based on 8,405 patients who were discharged from the study hospital during the period of December 1, 2000 and January 31, 2001. Important factors for the inpatient mortality were length of stay, disease classes, discharge departments, and age groups. The optimum range of target group in inpatient healthcare quality indicators were identified from the gains chart. In addition, a decision support system was developed to analyze and monitor trends of quality indicators using Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. In the future, other quality indicators should be analyze to effectively support a hospital-wide continuous quality improvement (CQI) activity and the decision support system should be well integrated with the hospital OCS (Order Communication System) to support concurrent review.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.239-269
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• 2022

Purpose This paper attempts to identify items for improving the usage of PLM(Product Lifecycle Management) systems and suggests ways to prioritize improvement items on the basis of importance. It also tries to find out differences in the importance of improvement items due to the company size, the industry, the job, or the PLM solution. Design/methodology/approach Through a survey from participants to a PLM System Conference, data were collected from a sample of 181 users who had the previous experience in using a PLM system. In order to figure out the differences in the importance among user groups, the F-test with the Scheffe test as a post-hoc analysis was used in case of equal variances and the Welch test with the Dunnett T3 test was used in case of unequal variances. Findings This study sorted out 25 improvement ideas according to their importance assessed by the PLM system users. The top five ideas are improving data consistency, error minimization, fast system response time, enhancing user recognition, and business process improvement. The support group puts higher importance than the general user group in data consistency, fast system response time, enhancing user recognition, business process improvement, dedicated team for data consistency, continuous support from management, hardware performance upgrade, output linkage to other systems, and shortening problem solving duration. The largest company group attaches significantly higher weights than the smallest company group to data consistency, error minimization, fast system response time, business process improvement, dedicated team for data consistency, security with proper access management, output linkage to other systems, and better user interface.