• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.2 s.29
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• pp.141-146
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• 2007

In this study, we have investigated several input factors and output factors to maintain safety management of domestic shipping companies, and then have analyzed the efficiency of performance about each shipping companies' safety management system from 1998 year to 2004 year using DEA method. The result of analysis shows that the annual mean efficiency index of total companies tended downward every year. Analysis was that the cause was increase of the cost of repairing ship, the cost of ship's stores and idle day of ship while the number of marine accidents and sanctions of PSC, ship's insurances and P&I insurances was decreased.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.69-79
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• 2007

Corporations are faced with the key strategic task of adopting a comprehensive management system of a new paradigm in order to enhance their products' quality, safety, and reliability, as well as to minimize the cost of quality. The purpose of this paper is to present a methodology that can be used by corporations to ensure a product's reliability, safety, and maintainability, with minimal costs, by measuring dependability levels and conducting DEA analysis. The methodology will be a way for corporations to adopt an optimal dependability management system based on a quality management system of ISO 9001:2000 standards.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.207-221
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• 2006

Corporations are faced with the key strategic task of adopting a comprehensive management system of a new paradigm in order to enhance their products' quality, safety, and reliability, as well as to minimize the cost of quality. The purpose of this paper is to present a methodology that can be used by corporations to ensure a product's reliability, safety, and maintainability, with minimal costs, by measuring dependability levels and conducting DEA analysis. The methodology will be a way for corporations to adopt an optimal dependability management system based on a quality management system of ISO 9001:2000 standards.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.10-16
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• 2010

Mail centers are essential postal facilities that sort and dispatch postal items, and should be operated efficiently to provide customers high quality postal services. So the efficiency analysis of mail centers should be performed in order to induce better operation. But current performance evaluation system has 95 percent of predetermined and weighted non-quantitative indices. There is need to introduce objective efficiency measurement methodology. The main objectives of this study was to analyze the efficiency of 24 mail centers empirically using cone-ratio DEA and suggest the appropriate cone-ratio method. Consequently, this paper suggests that the cone-ratio DEA model integrating decision-maker's preferences is more desirable for efficiency analysis than that of using transformed data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.124-131
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• 2012

본 논문에서는 Cone-ratio 가중치 제약이 DEA 단일 입력, 다중 출력(또는 다중 입력, 단일 출력)에 맞게 constant return을 하는 문제에 적용될 때 효율성을 측정하는 방법에 필요한 특성을 제안하였다. 또한 제안된 특성들을 기반으로 DEA에서의 단일 입력, 이중 출력에 대한 다중 해결 문제의 예시를 제시한 후 Cone-ratio 및 Wong과 Beasley 가중치 제약의 특성들을 도식적으로 비교 설명하였다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.35
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• pp.165-175
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• 1995

The objective of this study is to evaluate the reliability of DEA for the measurement of efficiency of Commercial banks in Korea using the DEA methods. DEA is basically a mathematical programing technique initially developed by Chanes, Cooper and Rhodes(197n) to evaluate the relative efficiency of not-for-profit organizations where multiple outputs are produced with multiple inputs. This study show that DEA approach is not only usefulness in evaluating performance of banks but also a useful bank management tool.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.1
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• pp.18-28
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• 2006

Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.1-6
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• 2006

This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.108-119
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• 2015

This study intends to propose a non-oriented DEA based game cross-efficiency approach for supplier selection. With a discussion on the choice of DEA models and approaches that are most appropriate for supplier selection, we propose a game cross efficiency model based upon the non-oriented variable returns-to-scale RAM DEA by adapting the existing game cross efficiency model based upon the oriented constant returns-to-scale CCR DEA. We develop the RAM game cross efficiency model and a convergent iterative solution procedure to find the best game cross efficiency scores that constitute a Nash equilibrium. We illustrate the proposed model with two data sets of supplier selection, and demonstrate that significantly different results are obtained when compared with the existing approaches.

• Information Systems Review
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• v.17 no.3
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• pp.113-133
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• 2015

In this paper, DEA analysis is employed to compare and evaluate the relative efficiency of a business intelligence (BI) system among five industrial groups such as IT and financial services, electricity and electronics, energy and chemistry, automotive and heavy machinery, and food and apparel. Especially, this study has analyzed the improving tendency of relative efficiency of the industrial groups since they adopted the BI System using Time-Window Analysis. The research findings show that the energy and chemical industry group tends to be remarkably more efficient than the other groups and the electrical and electronic industry turns out to gradually improve their efficiency since the adoption of the BI system.