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.

In this paper, we suggested the property that shows the way to measure the efficiency when cone-ratio weight restrictions are applied under constant returns to scale with one-input, multiple-outputs (or multiple-inputs, one-output) in DEA. Based on the suggested property, we proposed graphical illustration of multiple solution problem with one-input, two-outputs in DEA. Then we showed some characteristics of cone-ratio and Wong and Beasley weight restrictions with an illustrative example.

DEA 모델중 널리 사용되는 교차평가모델(cross efficiency model)은 가중치에 제한을 두지 않고 어떤 특정분야에 탁월한 성과를 내는 DMU(Decision Making Unit)보다는 보다 전반적인 분야에서 두각을 나타내는 DMU를 선발함으로써 많은 연구자들이 DEA문헌에서 적용하여 왔다. 본 연구에서는 이러한 교차평가모델이 실제에 있어서는 암묵적으로 고정 가중치를 사용한다는 것과 동일한 결과를 나타낸다는 것을 분석적으로 밝혔다(one

DEA 관련 연구에서 전체 효율을 측정하는 것의 중요성은 강조되어져 왔다. 그 연구는 주로 그것이 오직 가격과 비용의 정보를 정확히 알 때 측정될 수 있다는 제한이 있었다. 그러나 실제 사례에서 이 정확한 정보를 얻는 것은 쉽지 않다. 이런 한계를 일부 극복하기 위해 이 논문에서는 Cone-ratio 제약을 이용하여 전체 효율을 측정하기 위한 새로운 모델들을 제안했다. 제안된 모델들을 기반으로 DEA에서 전체 효율 모델들을 적용하기 위해 우리가 알아야

  A solution method for fuzzy linear programs is proposed. A fuzzy linear program is converted to a crisp linear program with average indices being applied to the objective function and constraints. A comparative analysis between the proposed average inde

Estimating fishing capacity is one of current hot issues in the international fisheries. It is because that increased fishing capacity has caused not only fish stocks to be reduced, but also additional fishing costs to be incurred without additional incomes, which resulted in decrease of economically viability of fisheries. In order to solve this problem, FAO adopted 'the International Plan of Action for the Management of Fishing Capacity' in 1999 and recommended that member countries to measure fishing capacity and to implement the domestic action plan to reduce excess fishing capacity. This study is aimed at assessing fishing capacity of the octopus coastal trap fishery(OCTF) using data envelopment analysis(DEA) which is a method recommended by FAO. The DEA results on 10 individual OCTF vessels showed that the capacity utilization(CU) was a 0.93 on average, indicating some differences in CU among vessels(0.79-1.0). In addition, results of the sensitivity analysis revealed that under the current level of catch, the gross tonnage, horse power, days fished, and traps per trip could be reduced by 35%, 33%, 16%, and 18% on average, respectively.

  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 progr

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 when the AHP and DEA are combined simultaneously. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

Vietnam is conducting an export-led growth model and labour-intensive industries contributing majorly to the total export value. In the context of Industry 4.0, the labour-based industries are significantly affected; hence, enhancing productivity is the key measure to maintain these industries. The garment industry contributes significantly to the total export value of Vietnam. Based on meta-frontier framework, the approach of data envelopment analysis is used to measure technical efficiency of Vietnamese garment firms and the global Malmquist TFP index is utilised to identify productivity change and its components including efficiency, technology and technical gaps between different groups of firms. The data of Vietnamese garment firms from 2013 to 2018 collected from the Vietnam General Statistic Office is used in this study. The results show that: (i) The total factor productivity of Vietnamese garment firms growth, technical progress is the main contributor; (ii) The private garment sector is the leading group; (iii) There is a large technological gap among Vietnamese garment sectors. The private and FDI garment firms have experienced a growth in all components of total factor productivity change. Meanwhile, technological progress change is the main reason to constrain the productivity growth of state-owned garment firms.

This paper applies the Data Envelopment Analysis (DEA) to compute the managerial efficiency of 30 insurance companies listed on the Saudi stock exchange for the duration of four years from 2015 to 2018. The companies taken as a sample of study included both conventional and Takaful insurance companies. The insurance sector of KSA is one of the largest sectors in the country, contributing a substantial percentage in the non-oil economy. Efficiency measurement and evaluation will provide a venue to introspect and benchmark frontiers to the sector. In the present study, we have utilized the basic Banker Charnes Cooper and Charnes Copper Rhodes models of DEA. Two inputs, namely, general & administrative expenses and policy & acquisition costs, and two outputs (Net premium earned and Investment Income & other incomes) were taken for efficiency calculations. The final outcomes of the study reveal that a good number of insurance companies operating in KSA are found to be efficient on managerial efficiency scale. Three firms remain the leader on the frontier of the managerial efficiency. And no company found with zero (0) efficiency or a negative efficiency. It is expected that the outcome of the study will provide benchmarks to managers and a road map to further improvement.

Planning strategies to achieve higher competitiveness of ports are becoming increasingly important in business environment. Therefore, strategic competitive position and efficiency analysis needs to be performed to increase ports’ effectiveness and competitiveness. This matches with one of targets of new concept e-Navigation to increase the agility and efficiency of ports. The purpose of this study was to apply Boston Consulting Group matrix to analyze competitive positioning of major ports in Korea and China in term of several main cargo types and then use a combination of Data Envelopment Analysis and Principal Component Analysis model to calculate efficiencies. Results show that, at the moment, Chinese ports are still on the top with high position and efficiency score for the representative-Shanghai port. However, result also points out that except container type, Korean ports have chance to compete in other cargo types. Moreover, Gwangyang port is regarded as efficient. It has better position time. It is believed that Gwangyang port together with Busan port can compete with Chinese port in the near future.

In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.

Recently according to increase of enlarged scale ports in conformity with increase in over size vessels and container handling service, pollutants generated from ports are increasing. In advanced countries, reduction in carbon dioxide emission assigned to them has been implemented according to the Climate Change Convention and Kyoto Protocol from 2008 to 2012 in order to lessen carbon dioxide emission. Henceforth increase in discussion on the measure of constructing Green Port and low-carbon port is expected in our nation's field of port as well, it is considered that the effort in reduction with regard to undesirable output which causes environmental problem of analysis target during measuring effectiveness. Therefore, in this study, effectiveness was estimated through directional technology distance function considering undesirable output differently from effectiveness analysis of existing container terminal, and then performed comparative analysis with the result analyzed with BCC output-oriented model. As the result of analysis, in 2007 DMU3 and DMU5, and in 2010 DMU2 and DMU4 appeared to be efficient terminals in BCC output oriented model, and in directional technology distance function model, DMU1, DMU3 in 2007, DMU3, DMU5 in 2008, DMU7 in 2009, and DMU2, DMU5 in 2010 appeared to be efficient terminals.

In this prolonged economic recession, the countries in Northeast Asia play a crucial role in the global market and the relationship between Korea and China gets more attention due to its significant achievement during the past 20 years after the establishment of diplomatic ties in 1992. In this regards, this study presents general overview of Korea-China Car Ferry Route and evaluates the efficiency level of each operating route using DEA model. Incheon-Yingkou, Incheon-Lianyungang, Pyeong Taek-Lianyungang are analyzed as efficent routes, while from the view point of passenger efficiency, 4 routes i.e, Incheon-Dalian, Incheon-Dandong, Pyeong Taek- Weihai, Gunsan-Shidao are also noted as efficient routes. Consequently, other inefficient routes can benchmark these efficient routes by increasing cargo volume and passengers.