• 한국항만경제학회지
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• 제28권2호
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• pp.179-194
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• 2012

본 연구는 컨테이너터미널의 서비스 투입자원 중 장비를 중점으로 컨테이너터미널의 효율성 비교 평가하기 위해 DEA와 AHP 기법을 혼합한 AHP/DEA 통합모형을 적용하였다. 분석은 광양항(GICT, KEC, KIT), 부산항(HBCT, KBCT, DPCT, UTC, 감만부두) 그리고 부산신항(PNC, PNIT, HJNC, HPNT)의 12개 운영사를 대상으로 하였다. 제안된 AHP/DEA 통합모형은 DEA 모형의 가중치간의 불균형으로 인하여 잘못 평가된 DMU 발생가능성과 효율적인 DMU간의 우열에 대한 변별의 어려움을 극복하기 위해 DEA-AR(Assurance Region)모형을 적용하였고, DEA-AR모형의 가중치 범위를 산출하기 위해 전문가의 의견을 객관적인 가중치로 변환할 수 있는 AHP(Analytic Hierarchy Process) 방법론을 사용하였다. 연구모형의 투입변수는 C/C 수, TC 수, YT 수, RS 수로 하였고 산출변수는 컨테이너 물동량으로 하였다. 연구결과 AHP/DEA 통합모형은 기존의 항만 및 컨테이너터미널의 효율성 평가에 사용되었던 DEA, 또는 DEA 응용모형에 비해 최고의 효율성을 가지는 컨테이너터미널을 선정에 있어 유연하고, 우수한 능력이 있음을 분석결과의 비교를 통해 알 수 있었다. 분석결과를 보면 하역장비 효율성이 100%로 달성한 터미널은 DPCT로 나타났고, 상대적으로 부산항 터미널들의 장비 효율성이 높은 것으로 분석되었다.

• 보건행정학회지
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• 제20권4호
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• pp.74-96
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• 2010

The purpose of this empirical study is to evaluate efficiency of the regional public hospitals, using DEA(Data Envelopment Analysis). to do this, we design a DEA-AR/AHP Hybrid model to evaluate efficiency of 34 Regional Public Hospitals. the proposed model is developed by adding Acceptance Region(AR). using analytical hierarchy process(AHP). this model is compared with those of typical DEA models. Financial data used in this study were obtained from Database of the Korea Association Regional Public Hospital and analyzed using DEA model. As a result of analysis, This study found that the DEA-AR/AHP Hybrid model was superior to those typical DEA models in determining the priority among efficient hospitals. the result of this study can provide helpful information to evaluate the efficiency of public hospitals for efficient operational management, to develop more precise measurement for the priority of the efficient hospitals.

• 지식경영연구
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• 제13권3호
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• pp.55-77
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• 2012

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

• 한국항만경제학회지
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• 제21권1호
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• pp.133-151
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• 2005

The purpose of this paper is to investigate the international competition power between Korean ports and Chinese ports according to the port efficiency scores of DEA(Data Envelopment Analysis) by newly introducing the priority vector of AHP(Analytic Hierarchy Process) to the DEA method. Empirical analysis shows the followings: First, there was not big changes of DEA rankings when we use the input-oriented CCR and BCC models after introducing the AHP priority vectors to the input variables. Yantian Port's competition power was declined, but that of Busan Port was up in the BCC model. Second, there was some changes of DEA rankings when we use the output-oriented CCR and BCC models after introducing the AHP priority vectors to the output variables. Rankings of Dalian, Qingdao, Shanghai Ports were up. But Shekou, Yantian Ports showed the declined ranking position in the CCR model. In the BBC model, rankings of Shanghai and Busan Ports were up. But those of Shekou and Yantian Ports were declined. The main policy implication based on the findings of this study is that The Ministry of Maritime Affairs & Fisheries in Korea and China should introduce AHP and DEA approaches when they measure the international competition power by using the porrt efficiency scores of DEA.

• 한국산학기술학회논문지
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• 제11권7호
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• pp.2406-2419
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• 2010

본 연구는 의료기관평가점수의 유용성을 높이기 위한 목적으로 수행되어 2004년부터 2008년까지 공시된 의료기관평가점수를 바탕으로 효율성지표를 이용해 환산지수를 추정하는 모형을 구축하였다. 의료기관평가영역별로 부여된 다양한 평가항목점수를 AHP를 통해 축약하고 이를 DEA_AR모형에 사용함으로써 추가적인 정보를 제공하는 유용한 예측모형을 구성할 수 있었다. 의료기관평가점수와 신임병원자료, 건강보험공단 자료를 연결해 분석 가능한 자료를 생성하고 DEA, 요인분석, 일반 선형모형을 이용해 환산지수, 효율성, 환산지수와 효율성을 결합하는 모형을 제시하였다. 개별 병원의 투입물과 산출물 뿐 만 아니라 의료기관평가점수, 종별구분, 지역별 분포 등이 환산지수의 영향변수로 파악되었다. 따라서 본 연구에서 제시된 AHP와 DEA_AR을 기반으로 한 효율성지표를 사용해 환산지수를 구하고 이를 수가계약에 활용함으로써 보건의료에 기여할 것으로 판단된다.

• 산업경영시스템학회지
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• 제29권2호
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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.

• 한국경영과학회지
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• 제24권4호
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• pp.1-12
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• 1999

This paper presents a DEA-AHP hybrid model to evaluate and select R&D projects. AHP collects and processes information on the weights of evaluation criteria. The processed information is used as an input for DEA/AR model. Only desirable number of projects are selected by the hybrid model. The model is examined by an example generated from a real data set.

• 산업공학
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• 제23권2호
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• pp.156-163
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• 2010

This paper suggests a DEA/AHP hybrid model to deal with an allocation problem of research budget for the national research lab(NRL) program. The qualitative factors are appraised by AHP model and the quantitative factors are dealt with DEA model to evaluate the performance of research activities considering tangible and intangible factors. The proposed hybrid model is applied to get the importance weight of research areas for research budget allocation of NRL program.

• Journal of information and communication convergence engineering
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• 제13권2호
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• pp.97-104
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• 2015

In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

• 한국철도학회논문집
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• 제16권2호
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• pp.117-121
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• 2013

철도선로구간의 노후도는 궤도, 노반, 교량, 터널 등 요소시설의 노후도로 결정되며 궤도의 선형 또한 선로구간 노후도에 영향을 준다. 본 논문에서는 계층구조분석(analytic hierarchy process: AHP)과 자료포락분석(data envelopment analysis: DEA)을 활용하여 선로구간의 노후도를 평가하는 방법을 제시한다. AHP는 다수의 전문가들이 평가하는 각 요소시설의 중요도를 체계적으로 파악할 수 있도록 해준다. 요소시설에 대한 중요도는 전문가에 따라 달라질 수 있다. DEA는 선로구간 요소시설의 중요도 가중치 범위를 체계적으로 반영하여 선로구간의 노후도를 평가할 수 있도록 해준다.