• International Journal of Quality Innovation
• /
• v.8 no.2
• /
• pp.100-114
• /
• 2007

Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation-enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision-making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

• 한국정보통신설비학회:학술대회논문집
• /
• 2009.08a
• /
• pp.197-200
• /
• 2009

Since various type of wireless/mobile network likes WLAN, WIBRO, HSDPA were come to us, technology providing high quality multimedia service while user move are actively researched such as MIH (Media Independent Handover) proposed by IEEE for interworking between heterogeneous network and CMIP (Client Mobile IP), PMIP (Proxy Mobile IP) for mobility. Despite the technology about interworking and handover between heterogeneous network are actively researched, handover decision method need to be researched. In this paper we suggest a simple and effective handover method for high quality multimedia service in real wireless environment. For this, we use MIH+CMIP platform for target multimedia service to make handover decision rule in WIBRO and HSDPA networks. After apply this rule, we verified effectiveness of handover decision method through real test.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.12 no.5
• /
• pp.557-562
• /
• 2009

Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.2
• /
• pp.81-87
• /
• 2017

Nowadays wine is increasingly enjoyed by a wider range of consumers, and wine certification and quality assessment are key elements in supporting the wine industry to develop new technologies for both wine making and selling processes. There have been many attempts to construct a more methodical approach to the assessment of wines, but most of them rely on objective decision rather than subjective judgement. In this paper, we propose a data mining approach to predict human wine taste preferences that is based on easily available analytical tests at the certification step. We used sequential forward selection and decision tree for this purpose. Experiments with the wine quality dataset from the UC Irvine Machine Learning Repository demonstrate the accuracies of 76.7% and 78.7% for red and white wines respectively.

• The International Journal of Costume Culture
• /
• v.13 no.2
• /
• pp.130-140
• /
• 2010

This research was carried out by setting hypotheses on recognition of the global image of the research subject, a domestic cosmetic brand and consequent quality of the brand, reputation of the brand, purchasing decision, influence of images of expanded countries and their correlations to investigate what effect the global images of local brands practically have on domestic consumers' purchasing decision. The analysis results show that overseas expansion of the research subject brand has positive influence on the brand possessing global images. However, it can be seen that the quality of the brand has much larger influence on the reputation of the brand than the images of global brand. In addition, the images of the expanded countries have influence on purchasing decisions but the global images based on the expanded countries did not have much influence on purchasing decisions. Therefore, it can be seen that global images based on high levels of brand reputation and quality are requirements of a most competitive brand than images of the expanded countries in forecasting likelihood of purchase.

• Journal of applied mathematics & informatics
• /
• v.41 no.5
• /
• pp.1129-1143
• /
• 2023

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.33 no.2
• /
• pp.162-169
• /
• 2010

This paper analyzes the difference between theoretical cost of quality and real world cost. Examined are the theoretical cost structure of quality, it's measurement styles, a process based improvement strategy of quality cost, and possible adaptation of decision making concepts in enhancing the cost structure. This study will contribute to the literature in delineating an improvement process of quality cost by adjusting service policy.

• Membrane and Water Treatment
• /
• v.9 no.6
• /
• pp.421-434
• /
• 2018

Decision-makers have different and sometimes conflicting goals with utilities in operating dam reservoirs. As repeated interactions exist between decision-makers in the long-term, and the utility of each decision-making organization is affected not only by its selected strategy, but also by other rivals' strategies; selecting and prioritizing optimum strategies from a decision maker's point of view are of great importance while interacting with others. In this paper, a model based on a fuzzy set theory, for determining the priority of decision-makers' strategies in optimal qualitative-quantitative operation management of dam reservoir is presented. The fuzzy priority matrix is developed via defining membership functions of a fuzzy set for each decision maker's strategies, so that all uncertainties are taken into account. This matrix includes priorities assigned to possible combination for other decision makers' strategies in bargaining with each player's viewpoint. Here, the 15-Khordad Dam located in the central part of Iran, suffering from low water quality, was studied in order to evaluate the effectiveness of the model. Then, the range of quality of water withdrawal agreed by all decision-makers was determined using the prioritization matrix based on fuzzy logic. The results showed that the model proposed in the study had high effectiveness model.

• Quality Improvement in Health Care
• /
• v.24 no.1
• /
• pp.40-52
• /
• 2018

Purpose: This study aimed to identify the factors influencing on patients' participation in their treatment decision making, and influences of patients' experience on their health status. Methods: Data from the 2015 Korea National Health and Nutrition Examination Survey were used for the analysis. Multivariate logistic regression analysis was conducted to identify the factors influencing on patients' participation in their treatment decision making. The influences of patients' experience on their health status were analyzed using multiple linear regression analysis. Results: Of the 4,497 respondents, 3,698 (82.2%) respondents mostly participated in their treatment decision making. Those who experienced enough visit duration, physicians' explanation easy enough to understand, or more opportunities to ask were more likely to participate in their treatment decision making. After controlling for their sociodemographic factors and health status, those who had better experience during the outpatient visits were more likely to have better self-rated health or quality of life. Conclusion: To improve patients' health outcomes and satisfaction of health care uses, it is necessary to provide better experiences and expand the opportunities for participation in treatment decision making during their hospital visits.

• International Journal of Quality Innovation
• /
• v.2 no.1
• /
• pp.20-29
• /
• 2001

In this paper, the same distribution principle is developed based on the studies with many years for short run processes. The quality control philosophy and background of the principle are introduced. Some implementing techniques for the principle are presented, and application cases both in industry and evaluation & decision-making areas are shown.