• Nuclear Engineering and Technology
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• v.53 no.4
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• pp.1224-1235
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• 2021

An integrated waste management approach for irradiated graphite was developed during the European Commission project 'Treatment and Disposal of Irradiated Graphite and other Carbonaceous Waste'. This included the identification of potential options for the management of irradiated graphite, taking account of storage, retrieval, treatment and disposal methods. This paper describes how these options can be assessed using multi-criteria decision analysis (MCDA) for a case study relating to a generic power reactor. Criteria have been defined to account for safety, environmental, economic and socio-political factors, including radiological impact, resource usage, economic costs and risks. The impact of each option against each criterion has been assessed using data from the project and the wider literature. A linear additive approach has been used to convert the calculated impacts to scores. To account for the relative importance of the criteria, example weightings were allocated. This application has shown that MCDA approaches can be used to support complex decisions regarding irradiated graphite management, accounting for a wide range of criteria. Use of this approach by individual countries or organisations will need to account for the specific options, scores, weightings and constraints that apply, based on their national strategies, regulatory requirements and public acceptability.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.347-371
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• 2015

A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, output-oriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.4
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• pp.43-50
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• 2006

The objective of this research is to select the most effective technique from AMT (Advanced Manufacturing Technologies) and IMP (Innovative Management Practices) for improving manufacturing performance in shipbuilding enterprises. The research consists of several principal steps. The first step is to design critical criteria in evaluating manufacturing performance in shipbuilding enterprises. The second step is to develop sub-criteria of the critical criteria. The third step is to develop a four level AHP (Analytic Hierarchy Process) structure using the critical criteria, sub-criteria and techniques from AMT and IMP. The fourth step is to develope the pairwise comparison matrix by each level of AHP structure, which was based on survey data collected at the H heavy industry. And the last step is to select the most effective technique from AMT and IMP by using AHP analysis. The results of AHP analysis did not show clear difference in priority between techniques of AMT and IMP in terms of manufacturing performance of the shipbuilding enterprise. Thus, each critical criterion was assigned modified weights and examined the priority change of techniques by conducting performance sensitivity analysis.

• Korean Management Science Review
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• v.29 no.2
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• pp.53-64
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• 2012

This paper is about the investment strategy in stocks on Fundamental analysis. Financial data of stocks from January 2. 2001 through October 30. 2009 were utilized in order to suggest the investment strategies. Fundamental analysis was used in stocks-related strategy. The portfolios are composed of 3 criteria such as the buying criteria score, exchange cycle and selling conditions. The buying criteria score is determined assigned to each stock index according to the satisfaction condition of 15 parameters selected considering the grue's criteria. The stock buying alternatives has two options with buying stocks over 13 points and over 14 points of buying criteria score. The seven exchange cycles and three selling methods are considered. So total number of portfolios is 42($2{\times}7{\times}3=42$). The simulation has been executed about each 42 portfolios and we figured out with the simulation result that 83.33% of 35 portfolios are more profitable than average stock market profit(203.43%). The outcome of this research is summarized in two parts. First, it's the exchange strategy of portfolio. The result shows that value-oriented investment (long-term investment) strategy yields much higher than short-term investment strategies of stocks. Second, it's about the exchange cycle forming the portfolios. The result shows that the rate of return for the portfolio is the best when exchange cycle is 18 months.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.2 s.27
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• pp.249-257
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• 1988

The purposes of the study were to define the clothing evaluative criteria concept as an internal evaluative criteria and buying evaluative criteria based on the Engel-Kollot-Blackwell's consumer behavior model, and to explore the differences between internal evaluative criteria and buying evaluative criteria imprically. The study also aimed to find out the differences between internal evaluative criteria and buying evaluative criteria according to clothing items(underwears, pajama, jeans, blouse, two-pieces, coat) The questionnaires were administered to college female students living in Seoul. Means and Standard Deviations were calculated, and Discriminant Analysis were used for statistical inferences. The results were as follows: In underwears, internal evaluative criteria were comfort and fiber, while toying evaluative criteria was color. In pajama, internal evaluative criteria was comfort and fiber, while buying evaluative criteria was good buy. In jean, internal evaluative criteria was fit and suitability to individual, while buying evaluative criteria was suitability to individual and price. In blouse, internal evaluative criteria was beauty and harmony with other clothing. In two-pieces, internal evaluative criteria was color and beauty, while buying evaluative criteria was suitability to individual. In coat, internal evaluative criteria was textile and color. In conclusion, as shown in the results above, the evident differences between internal evaluative criteria and buying evaluative criteria and buying evaluative criteria were testified, therefore evaluative criteria should he defined as internal evaluative criteria and buying evaluative criteria, and study of evaluative criteria should be explored according to clothing items.

• Journal of the Korean Statistical Society
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• v.36 no.3
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• pp.435-445
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• 2007

This paper addresses for the first time the use of complete data information criteria in unsupervised learning of the Naive-Bayes model. A Monte Carlo study sets a large experimental design to assess these criteria, unusual in the Bayesian network literature. The simulation results show that complete data information criteria underperforms the Bayesian information criterion (BIC) for these Bayesian networks.

• Journal of Fashion Business
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• v.18 no.1
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• pp.22-36
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• 2014

The purpose of this study is to examine the influence of expected values for appearance management on interest in make-up and cosmetics evaluation criteria. Questionnaires are being administered to 244 college students from the Deagu Metropolitan City and Kyungbook province. The frequency, factor analysis, reliability analysis, regression analysis, and t-test are used for data analysis. Expected values of appearance management are categorized into pleasure/satisfaction, other-expectancy, power value and conformity. Interest in make-up factors are found to be leadership in make-up, others-oriented, and appearance satisfactions. Cosmetics evaluation criteria are categorized into 4 factors such as skin suitability, pursuit of utility, non-essential attributes and symbolism. Pleasure/satisfaction, and conformity are the sub-variables of expected values for appearance management and have significant effects on leadership in make-up and others-oriented sub-variables for interest in make-up. Pleasure/satisfaction, and conformity, being the sub-variables of expected values for appearance management, have significant effects on skin suitability, the sub-variables of cosmetics evaluation criteria. And conformity has significant effects on symbolism, the sub-variables of cosmetics evaluation criteria. This indicates that women show high conformity for expected values of appearance management, leadership in make-up and others-oriented sub-variables for interest in make-up, and skin suitability of cosmetics evaluation criteria.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.656-659
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• 2005

his paper develops the systematic and quantitative priority-determining method for national investment using the framework of evaluating R&D. This study proposes multi criteria for evaluating the R&D of New & Renewable Energy through analysing the attribute of 11 types of energy. The framework is constituted by 4 criteria, the political urgency, economic impact, regional constraint. and technological attribute and the each criteria has 3 or 4 sub-criteria. These sub-criteria are weighted using AHP.

• Clean Technology
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• v.26 no.3
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• pp.168-176
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• 2020

The introduction of the Korea toxics use reduction (TUR) program to build a clean society is generally evaluated based on social economic criteria. Among various techniques, benefit-cost analysis is the most commonly used. This method is focused on the calculation and comparison of all the benefits and costs attributable to the TUR program. However, since it is reasonable to consider not only economic criteria but also policy criteria in the process of evaluation, it is necessary to reflect on the criteria weights found in the benefits and costs. This study aims at developing a new evaluation technique to achieve this purpose and apply it to the Korean TUR program to be implemented in 2020. This study selected competitiveness, toxic substances' emission reduction ratio, and health improvement as policy criteria. The Analytic Hierarchy Process (AHP) technique was initially used to calculate the weight and then, based on the results, the concept of information entropy introduced by Claude Shannon was used to eliminate subjective bias. As a result of the study, it was found that the revised benefit-cost analysis considering the weights of the policy criteria, as well as the existing economic criteria, could be a reasonable alternative in evaluating the feasibility of TUR regulations for highly toxic substances.

• Information Systems Review
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• v.8 no.1
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• pp.265-285
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• 2006

The purpose of this research is to identify the major evaluation criteria of IT investment projects and establish the importance weights of criteria through AHP analysis. Seven evaluation criteria which have been drawn from prior studies and industry practices are direct costs, indirect costs, financial benefits, strategic value, risk, technical necessity, and political considerations. Data have been collected from 95 IT projects in 40 public organizations and private firms in Korea. After having applied the data reliability test, 79 projects have been selected. The results of AHP analysis show the importance weights and priorities of seven evaluation criteria as follows: financial benefits 25.2%, strategic value 22.36%, direct costs 14.34%, risk 12.10%, technical necessity 11.55%, political considerations 8.3%, and indirect costs 6.48%. And the weights of seven criteria shows considerable differences among three different IT project types such as transactional, informational, and infrastructural.