• Journal of Korea Water Resources Association
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• v.45 no.9
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• pp.901-913
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• 2012

This study will be a new attempt to quantify flood vulnerability taking into account uncertainty. Information obtained from the real world has lots of uncertainties. Therefore, this study developed an approach to quantify spatial flood vulnerability of Korea using Fuzzy TOPSIS approach. Also, Fuzzy TOPSIS were compared with TOPSIS and weighted sum method. As a result, rankings of some areas were changed dramatically due to the uncertainty. Spearman rank correlation analysis indicated that the rankings of TOPSIS and weighted sum method were almost similar, but quite different from ranking of Fuzzy TOPSIS. In other words, because applying Fuzzy concept in regional vulnerability assessment may cause a significant change in priorities, the model presented in this study may be a method of vulnerability assessment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.113-121
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• 2020

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

• IE interfaces
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• v.5 no.2
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• pp.19-27
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• 1992

The ABC analysis is a widely used inventory control technique which consists of classifying inventory items into three categories according to annual dollar usage and concentrating managerial efforts on the high value items. But its major weakness is that the classification is somewhat arbitrary and is made in the light of single criterion, the annual usage. In this paper, a modified approach using TOPSIS is proposed where 1) the inventory items are ranked, rather than classified into three categories, in the order of relative importance and 2) the latter is determined by considering the multiple criteria such as annual usage, difficulty of procurement, lead time and shelf life. A case study was performed with the field data from a company producing electronical parts. The rank order produced by TOPSIS was judged quite reasonable by the company inventory control manager.

• Journal of Korea Water Resources Association
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• v.46 no.10
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• pp.977-987
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• 2013

This study aims to develop a multiple criteria decision making (MCDM) approach for flood vulnerability assessment which considers uncertainty. The flood vulnerability assessment procedure consists of three steps: (1) use the Delphi process to determine the criteria and their corresponding weights-the adopted criteria represent the social, economic, and environmental circumstances related to floods, (2) construct a fuzzy data matrix for the flood vulnerability criteria using fuzzification and standardization, and (3) set priorities based on the number of assessed vulnerabilities. This study uses a modified fuzzy TOPSIS method based on ${\alpha}$-level sets which considers various uncertainties related to weight derivation and crisp data aggregation. Further, Spearman's rank correlation analysis is used to compare the rankings obtained using the proposed method with those obtained using fuzzy TOPSIS with fuzzy data, TOPSIS, and WSM methods with crisp data. The fuzzy TOPSIS method based on ${\alpha}$-cut level sets is found to have a higher correlation rate than the other methods, and thus, it can reduce the difference of the rankings which uses crisp and fuzzy data. Thus, the proposed flood vulnerability assessment method can effectively support flood management policies.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.891-897
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• 2021

In this paper, we propose a destination optimal route algorithm for providing route finding service for the transportation handicapped by using the multi-criteria decision-making technique and the modified A-STAR optimal route search algorithm. This is a method to set the route to the destination centering on safety by replacing the distance cost of the existing A-STAR optimal route search algorithm with the safety cost calculated through AHP/TOPSIS analysis. To this end, 10 factors such as road damage, curb, and road hole were first classified as poor road factors that hinder road driving, and then pairwise comparison of AHP was analyzed and then defined as the weight of TOPSIS. Afterwards, the degree of driving safety was quantified for a certain road section in Busan through TOPSIS analysis, and the development of an optimal route search algorithm for the transportation handicapped that replaces the distance cost with safety in the finally modified A-STAR optimal route algorithm was completed.

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.19-32
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• 2017

This study aims to (1) investigate the main factors for the evaluation of port competitiveness through a literature review; (2) compare each terminal's competitiveness in Busan and Shanghai ports using TOPSIS methodology; (3) determine how to improve Busan port competitiveness. TOPSIS analysis of throughput shows that the terminals in Shanghai (SMCT, SGICT) are competitive. Shanghai is ranked first in both the port physical analysis (SMCT) and the financial one (SSICT). Total competitiveness analysis shows that Shanghai terminals (SSICT, SMCT, and SGICT) are more competitive than the ones in the Busan port. In this analysis, the SSICT ranks the top terminal in port physical and financial categories, while the SMCT ranks the first terminal in terms of throughput. The results of this study provide important policy implications for the Busan port, whose international status as a transshipment port and international logistics hub has lowered, and whose recent growth is slower than that of the competing international ports.

• Journal of the Korea Safety Management & Science
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• v.18 no.4
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• pp.195-209
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• 2016

This research determined priority of quality improvement of public institution's education service by using ASC for importance and applying Topsis, a multi-standard decision-making method simplifying various attributes and scales of evaluation items and deciding the comparative priority for satisfaction and discussed the differences so as to measure the quality of public institution's educational service and examine the priority of education service' quality improvement. This research classified the characteristics of quality improvement. As a result, it's significant to suggest positive direction and method to improve satisfaction and education service's quality from an angle of demander by analyzing educational satisfaction of education service quality of public education institution and effects on the following improvement.

• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.19-34
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• 2018

This study analyzed specific ports' marketing strategies through interviews and, using fuzzy TOPSIS methodology, derived marketing strategies for the Incheon and Pyeongtaek-Dangjin ports by comparing them with the Busan port. Previous studies had concentrated on the Busan port, and the majority of these studies analyzed the present conditions and suggested 4P strategies using a marketing mix. After weighting all of the respondents' answers, the results show that among all marketing strategies, incentive provisions ranked the highest, followed by the intermediary role between the relevant agencies and companies, and last- the agent system for establishing local networks. The fuzzy TOPSIS analysis results showed that the Busan port had the best marketing performance. The most sensitive strategies, based on the sensitivity analysis, were the intermediary role between relevant agencies and companies in the Incheon port, and the incentive provision in Pyeongtaek-Dangjin port. The implications of this study are that the port management agencies' actual marketing strategies were similar to the marketing promotion strategies suggested by previous research, and thus, each port's marketing targets and their characteristics should be clearly defined.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.11 s.188
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• pp.68-77
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• 2006

Nowadays, the increasing global competition forces automobile manufacturer to increase quality and to reduce the cost and time for manufacturing planning. To solve these problems, automobile manufacturers try to apply digital manufacturing technologies. In this paper, a concept of method for planning the digital assembly system is proposed. Based on the requirements of assembly tasks obtained through product analysis, the function and sequence modeling for assembly process is executed using the IDEF0 and UML model. For implementation of digital assembly system, the selected components are modeled by using 3D CAD tools. According to the system configuration strategy, lots of the alternative solutions for the assembly system are generated. Finally, the optimal assembly system is chosen by the evaluation of the alternative solutions with TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) method. According to proposed procedure, digital laser welding system is implemented in DELMIA.