• 한국경영정보학회:학술대회논문집
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• 2007.06a
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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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.1-9
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• 2010

To protect information resources, many organizations including private corporate and government employ integrated information security systems which provide the functions of intrusion detection, firewall, and virus vaccine. So, in order to develop a reliable integrated information security system during the development life cycle, the managers in charge of the development of the system must effectively distribute the development resources to the quality factors of an integrated information security system. This study suggests a distribution methodology that minimizes the total cost with satisfying the minimum quality level of an integrated information security system by appropriately assigning development resources to quality factors considered. To achieve this goal, we identify quality factors of an integrated information system and then measure the relative weights among the quality factors using analytic hierarchy process (AHP). The suggested distribution methodology makes it possible to search an optimal solution which minimizes the total cost with satisfying the required quality levels of processes by assigning development resources to quality factors during the development life cycle.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.225-233
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• 2012

The purpose of this study is to observe effect on a result of a business performance depending on the business scale and the success factors of quality. Verified hypothesis of the quality of success factors and business performance are conducted in order to conduct this research. The results of hypothesis testing can be summarized as follows : First, depending on the size of the company, quality of corporate success factors in the management and significant positive was verified to be in effect. Second, depending on the size of the small business companies' human resource management, product/process is significantly positive in effect and medium companies' quality information, quality of suppliers in the commercialization of technology is significantly positive in effect. Third, depending on the size of the small business companies' human resource management, product/process financial performance is significantly positive in effect and mid-sized companies, suppliers in the quality significantly positive show the influence of financial performance. The results of measurement through the size of the enterprise and the successful factors of quality impacts on business performance directly.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.2
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• pp.120-126
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• 2017

This paper has proposed the development direction and R&D analysis approach that the diversity of defense R&D process and product should be mainly under consideration. It has shown that there is a fair possibility of the various quality assess to meet the R&D requirements in defense-based. Thus, the analysis on multiple quality elements is carried out with defense R&D characteristics. Especially, a quality management master planning based on the quality model of establishing defense R&D policy has proposed, identifying relevant quality characteristics on the R&D of weapon system and the R&D of core technology. That is, this paper is not only interested in determining an appropriate model for improving the quality of a R&D weapon system but also argued efforts in order to reap the best possible outcome and process on both the R&D of weapon system and quality of the R&D of core technology including present R&D activities.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.2
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• pp.131-143
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• 2008

Purpose: The aim of this study was to develop service quality indicators to evaluate structure and process of the nursing home service. Method: On the basis of literature review and analysis of existing quality indicators, the researcher made a preliminary service quality indicators and verified content validity twice. The final service quality indicators were applied in 30 nursing homes. Results: Preliminarily, 3 domains, 24 sub-domains, and 156 indicators were generated. Through two content validity testings, the indicators scoring over .80 CVI for each testing were adopted and modified by discussion with a panel of experts. The final indicators consisted of 3 domains, 15 sub-domains, and 128 indicators. These indicators were applied in 30 nursing homes. The result showed that they were easily applicable and suitable for a evaluation of service quality in nursing home. Conclusion: This 'service quality indicators in nursing home' was verified by the content validity. This tool will be able to be used for evaluation and improvement of nursing home service quality. However, repeated researches are needed for further validity and reliability.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.58-67
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• 2002

Since the inception of off-line quality control, it has drawn a particular attention from research community and it has been implemented in a wide variety of industries mainly due to its extensive applicability to numerous real situations. Emphasizing design issues rather than control issues related to manufacturing processes, off-line quality control has been recognized as a cost-effective approach to quality improvement. It mainly consists of three design stages: system design, parameter design, and tolerance design which are implemented in a sequential manner. Utilizing experimental designs and optimization techniques, off-line quality control is aimed at achieving product performance insensitive to external noises by reducing process variability. In spite of its conceptual soundness and practical significance, however, off-line quality control has also been criticized to a great extent due to its heuristic nature of investigation. In addition, it has also been pointed out that the process optimization procedures are inefficient. To enhance the current practice of off-line quality control, this study proposes an integrated optimization model by utilizing a well-established statistical tool, so called response surface methodology (RSM), and a tolerance - cost relationship.

• Journal of KIBIM
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• v.12 no.1
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• pp.23-34
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• 2022

In the current 2D-based design, design reliability is lowered due to interference and inconsistency between plans, errors in drawings and quantities, etc. At the time of transition to BIM-based 3D design, it is necessary to expand the reliability and usability of BIM by eliminating these errors from the design stage through securing the quality of the BIM digital model. Therefore, in the railway infrastructure design stage, the quality management process and standards of the BIM digital model were defined and quality management index were developed. Based on the rule extracted from the quality management index, a pilot quality management was conducted in connection with the commercial Model-Checker rule, problems and improvement plans were derived, and a rule-based automated quality management plan was prepared.

• Journal of the Korea Organic Resources Recycling Association
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• v.20 no.3
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• pp.52-59
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• 2012

As the result of reviewing the linked treatment of water quality for treating process at public livestock wastewater treatment facilities for fair selection of the proper linked process in case of linking sewage treatment plant for livestock wastewater, in case of wastewater processed by bio-reactor that is only biologically-treated, the load factor showed relatively high as 1.67%(base on design quality), 2.59%(base on operation quality) regarding COD and 3.69%(base on design quality), 7.67%(base on operation quality) regarding $COD_{Mn}$ but it is judged that there is nearly no influence on the operation of sewage treatment plan. And, in case of oxidized flotation-treated water & biofiltlation-treated water that are the advanced wastewater treatment, the load factor is approximately 1% and there is concern about the installation of excessive facilities in case of installing the advanced wastewater treatment. So, in case of considering the economic efficiency & stable operation of sewage treatment plant S, it is judged to be desirable to link with wastewater processed by bio-reactor that is biologically-treated.

• Journal of Korean Academy of Nursing Administration
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• v.4 no.1
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• pp.107-127
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• 1998

The purpose of this study was to develop an evaluation tool for the quality of nursing care in abdominal surgery patient. The target subjects of the tool were adult patients having abdominal surgery under general anesthesia. Process-outcome framework was selected for the development of the tool in this study. The results were as follows. 1. Nine standards. 40 criteria and 88 indicators were developed. A standard was summary statement of the ideal level of excellencein a dimension of quality of nursing care. which could be evaluated by criteria. Several criteria indicated a specific standard and each criterion could be measured by observable and measurable indicators. 2. The standards were divided into two dimensions. One was process dimension which contained four standards(23 criteria), the other was outcome dimension which contatined five standards(17 criteria). 3. Average CVI was .985 at 9 standards. .947 at 40 criteria. and .987 at 88 indicators. 4. The evaluation tool for the quality of nursing care in abdminal surgery patients was a criterion-referenced tool. And data collection methods of the tool were investigation of patient's record and interview( or questionnaire) with the patients. 5. Interrater reliabilities of the tool were ; r= .7572 (agreement between two raters), and pI=.8487 (intraclass correlation between five raters who rated the 84 patients). 6. Internal consistency reliability ${\alpha}$ was .6194, which was obtained from 32 criteria. Eight criteria were missed in the analyzing process because of data omission. 7. Scores of the process and the outcome dimensions showed significant. but low correlation(r= .3759, p < .001). 8. There were significant differences in total scores between the hospitals and the departments of surgery(F = 15.233. p .0001). There was also significant interaction effect between hospitals and departments to total score(F = 8.396. p = .0001). Construct validity of the toool was verified by the known-group method. these kinds of difference were expected by the nursing experts participated in the study. From these results, more specific patient classification is suggested for the development of evaluation tool of the quallity of nursing care. And indicators to be used for objective measurement for the quality of nursing care must be developed.

• Design & Manufacturing
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• v.15 no.1
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• pp.48-56
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• 2021

The quality of products produced by injection molding process is greatly influenced by the process variables set on the injection molding machine during manufacturing. It is very difficult to predict the quality of injection molded product considering the stochastic nature of manufacturing process, because the process variables complexly affect the quality of the injection molded product. In the present study we predicted the quality of injection molded product using Artificial Neural Network (ANN) method specifically from Multiple Input Single Output (MISO) and Multiple Input Multiple Output (MIMO) perspectives. In order to train the ANN model a systematic plan was prepared based on a combination of orthogonal sampling and random sampling methods to represent various and robust patterns with small number of experiments. According to the plan the injection molding experiments were conducted to generate data that was separated into training, validation and test data groups to optimize the parameters of the ANN model and evaluate predicting performance of 4 structures (MISO1-2, MIMO1-2). Based on the predicting performance test, it was confirmed that as the number of output variables were decreased, the predicting performance was improved. The results indicated that it is effective to use single output model when we need to predict the quality of injection molded product with high accuracy.