• 대한산업공학회지
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• 제34권2호
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• pp.190-204
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• 2008

Recently, it has been strongly required to establish a systematic and sustainable performance investigation and evaluation framework on governmental funding projects for IT small and medium-sized enterprises. In this paper, Data Envelopment Analysis (DEA) models are adopted for performance evaluation on governmental funding projects for IT small and medium-sized enterprises. A new data structure is proposed for the DEA performance evaluation. Generally, in using DEA models, DEA multipliers restriction is critical to achieve the reliability of DEA optimal solutions. Based on the outputs and inputs considered in this study, Acceptance Region (AR) constraints are generated and incorporated into the DEA models so as to improve the reliability of DEA efficiency scores. Associated with AR Type I (AR-I), AR Global Model (ARGM) constraints, DEA/ (AR-I, ARGM) models are designed and then sensitivity analysis follows investigating the robustness of DEA efficiency scores relating to AR constraints adjustment. Finally, a performance evaluation is illustrated regarding governmental direct funding projects from Ministry of Information and Communication (MIC) in Korea where each project unit (i.e. Decision Making Unit (DMU)) is determined whether it is efficient or not. By using DEA/(AR-I, ARGM) models designed in this paper, robustly efficient DMUs are gradually identified according to the successive AR constraints adjustment. Among 25 DMUs, results show that 6 DMUs such as B, E, G, Q, S, Y are determined as robustly efficient against AR constraints intermediate adjustment.

• 품질경영학회지
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• 제32권2호
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• pp.77-92
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• 2004

It is difficult but very necessary to measure the productivity of container terminals as logistics service provider. It is meaningful to find the appropriate inputs and outputs of the logistics service delivery systems and to measure the relationship between these inputs and outputs. This study proposes a model of evaluating the efficiency of container terminals. The evaluation consists of three phases. First, DEA(Data Envelopment Analysis) phase, determines the efficiency score and weights of DMUs(Decision Making Unit). This phase performs through four steps : selection of DMU, selection of DEA model, determination of input and output factors, calculation of efficiency score and weights for each DMU. Secondly, CEM (Cross Evaluation Model) phase, is to calculate the cross-efficiency scores of DMUs. This phase performs through three steps: selection of CEM, determination of cross-efficiency score for each DMU and development of cross-efficiency matrix. Finally, average cross-efficiency analysis phase is to compute the average cross-efficiency score. The proposed model discriminates among DMUs and ranks DMUs, whether they are efficient or inefficient.

• 한국항만경제학회지
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• 제37권4호
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• pp.51-70
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• 2021

본 연구는 각 공항의 2018년 지속가능성 보고서를 바탕으로 21개 국제 공항의 환경 효율성을 측정하였다. 최근 다양한 산업 분야에서 환경 및 사회적 책임에 관심을 기울여왔는데, 특히 항공 분야의 경우 환경 친화적 및 지속가능성 운영에 관심을 보이는 선도적인 부문 중 하나이다. 그럼에도 불구하고, 공항의 환경적 운영에 관련된 연구는 경제적 또는 운영 효율성 연구에 비하면 매우 부족한 실정이다. 따라서 본 연구는 Directional Distance Function (DDF)의 활용을 통해 공항의 환경 비효율성에 대한 개선 여부를 알아보고, Data Envelopment Analysis (DEA)의 적용을 통해 운영 효율성을 측정하는 것을 목적으로 한다. 연구 결과, 주요 공항들은 설비를 효율적으로 운영하고 있으나, 그들 모두가 공항에서 배출되는 물질을 효율적으로 운영하지는 못했다. 게다가, 많은 공항은 여전히 잠재적으로 CO2와 물 소비량을 감소시킬 수 있는 개선의 여지가 존재하였다. 이를 통해 본 연구는 항공 분야에서 실행가능한 환경적 개선점을 제시하고자 하였다. 더 나아가서, 다른 산업 분야에서도 환경 효율성 개선을 위한 기준으로서 이 연구를 활용할 수 있을 것이다.

• 경영과학
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• 제30권2호
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• pp.43-61
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• 2013

With the recent introduction of supply chain management (SCM), quality management has extended from within companies to between companies. As a result, supply chain quality management (SCQM) has received increased attention. However, existing SCQM studies only focus on what impact quality control in supply chains have on company performance while virtually no studies examine quality control efficiencies. This paper, therefore, evaluated the SCQM efficiency of a parent company and its partner companies by using Data Envelopment Analysis (DEA) based on the Quality Collaboration Index for Supply Chain Management (QCI-SCM) conducted by the Korean Standards Association for its 'Quality Innovation-Based Building and Expansion of Business.' Study results showed that a parent company and its partners showed an overall average efficiency of approximately 80% (parent company 80.37%, partner company 79.05%). By also performing a discriminant analysis based on the calculated efficiency scores using DEA, factors that made companies efficient or inefficient were different between the two groups. In parent companies, efficiency and inefficiency were determined by factors such as communication, infra-structure, support, delivery of quality, and benefit sharing, whereas in partner companies, talent development, infrastructure, crisis management, and delivery of quality were the determining factors. In this paper, we examined the efficiency of SCQM and analyzed them from the perspective of both the parent company and partner companies to offer strategic SCQM insights.

• 한국프랜차이즈경영연구
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• 제6권1호
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• pp.1-20
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• 2015

Home Meal Replacement (HMR) products are ready-to-eat or pre-cooked food products that are consumed at daily home. HMR market has grown rapidly due to societal changes: increases in female social activities, silver population, and one-person households. Consumption channels of HMR can be classified into take-out, delivery, and retail. In Korean HMR market, retail sector is largely growing, but companies are focusing their business on the home delivery sector. Moreover, franchise companies are expanding their areal coverage in the HMR market based on their multi-unit strategy. However, more research on the HMR market is needed as existing studies are limited in conceptualization, classification, and processed food from malls or home-shopping channels. Therefore, we conducted the efficiency analysis on Gukseonsaeng, one of franchises that applied the take-out channel, using DEA method. According to the research on 29 franchisees of Gukseonsaeng, 77.9% of input appeared inefficient for technical efficiency, while 53.3% of input appeared inefficient for scale efficiency. Thus, we found that franchises of Gukseonsaeng are structured in increasing returns to scale (IRS), so enhancing efficiency by expanding scales need to be implemented.

• 기술혁신연구
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• 제11권2호
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• pp.151-173
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• 2003

This paper analyses the efficiency and productivity of R&D system across time (1991${\sim}$2000) and 16 OECD countries using multi-output and multi-input non-parametric frontier methods such as DEA (data envelopement analysis) and Malmquist productivity indexes. Malmquist productivity indexes are decomposed into two components measures, namely technical change and efficiency change. To calculate R&D efficiency and productivity, we used R&D stock and the number or researchers as R&D input proxies and the number of adjusted SCI papers and U.S. patent applications as R&D output proxies. Empirical result shows that Switzerland, Canada, U.S., Australia's R&D efficiencies are the highest and Korea's R&D productivity growth is the highest in the sample for the period. Technical efficiency growth was a more important source of productivity growth than technological innovation.

• 국제지역연구
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• 제14권1호
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• pp.299-319
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• 2010

본 논문은 올림픽에서의 성적기준인 올림픽메달을 어느 국가가 가장 효율적으로 따내고 있는가를 분석하고, 스포츠 경기력의 특성을 파악하여 올림픽 및 스포츠 경기력 향상을 위한 투자에 대해 시사점을 찾고자 한다. 연구방법은 분석 대상 개체의 자료만으로 효율을 측정하는 DEA접근법으로 하였고, VRS하에서의 측정인 선행연구와는 달리 CRS하의 효율을 측정하였다. 투입물은 총인구와 GDP로 하였고 산출물은 최근 하계올림픽인 그리이스 아테네 올림픽메달과 동계올림픽인 이탈리아 토리노 올림픽메달을 활용하였다. 금 은 동메달의 메달색깔에 따라 가중치를 반영 하였다. 효율 측정 결과는 총인구와 GDP의 규모가 큰 국가의 효율이 낮게 나타나고 총인구와 GDP의 규모가 작은 국가의 효율이 높게 나타나는 경향을 보였다. 이러한 결과는 스포츠 경기력의 수확체감(the law of diminishing returns)현상, 스포츠 경기력의 국제적 수렴(convergence)현상, 스포츠 성과의 특수성으로 파악할 수 있다. 이러한 현상으로 인해 스포츠 경기력 향상을 위한 투자는, 동일한 투자일 경우 일부 종목에 집중 투자하는 것보다는 여러 종목에 고르게 투자를 하는 것이 올림픽메달 획득에는 유리하다는 시사점을 도출하였다.

• 산업공학
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• 제24권3호
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• pp.220-230
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• 2011

The multi-reservoir operation problem for efficient utilization of water resources involves conflicting objectives, and the problem can be solved by varying weight coefficient on objective functions. Accordingly, decision makers need to choose appropriate weight coefficients balancing the trade-offs among multiple objectives. Although the appropriateness of the weight coefficients may depend on the total amount of water inflow, reservoir operating policy may not be changed to a certain degree for different hydrological conditions on inflow. Therefore, we propose to use fuzzy Data Envelopment Analysis (DEA) to rank the weight coefficients in consideration of the inflow variation. In this approach, we generate a set of Paretooptimal solutions by applying different weight coefficients on Coordinated Multi-reservoir Operating Model. Then, we rank the Pareto-optimal solutions or the corresponding weight coefficients by using Fuzzy DEA model. With the proposed approach, we can suggest the best weight coefficients that can produce the appropriate Pareto-optimal solution considering the uncertainty of inflow, whereas the general DEA model cannot pinpoint the best weight coefficients.

• 통상정보연구
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• 제9권3호
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• pp.255-271
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• 2007

It is widely acknowledged that Chinese economy becomes a center of world economy and takes up a considerable portion of the trade in Northeastern Asia. Due to the investment and the logistics modernization strategy of Chinese government, recognizing the importance of logistics, the competitiveness of Chinese major ports is tending upward rapidly. Therefore, it is necessary to analyze the competitiveness of Chinese major ports in order to develop the logistics strategy of Korea by cooperating or competing with Chinese ports. In this study, we analyzed the competitiveness of 10 major Chinese ports with Data Envelopment Analysis(DEA). Through the analysis, we could investigate the efficiency of 10 major Chinese ports and figure out the trend of the efficiency within recent 10 years. In order for Korea to achieve the national strategic goal, becoming a logistics hub in East Asia, it is obvious to understand the competitiveness of Chinese major ports which are major competitor and strategic partner at the same time. This study will be useful to understand the competitiveness of Chinese ports and to develop a logistics hub strategy of Korea.

• International Journal of Railway
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• 제6권2호
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• pp.33-44
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• 2013

In recent years, energy consumption in the transportation sector by expanding motorization continues to increase in almost every country in the world. Moreover, the growth rate of the transportation energy consumption is significantly higher than those of the civilian and industrial sectors. Therefore, every country strives to reduce its dependence on private transport, which is the main contributor to the transportation energy consumption. In many countries, concepts such as Transit Oriented Development (TOD) or New Urbanism, which controls road traffic by increasing the proportion of the public transportation significantly, have been implemented to encourage a modal shift to public transport. However, the level of change required for eliminating environmental problems is a challenging task. Minimizing transportation energy consumption by controlling the increase of the traffic demand and maintaining the level of urban mobility simultaneously is a pressing dilemma for each city. Grasping the impact of the diversity of the urban transport and infrastructure is very important to improve transportation energy efficiency. However, the potential for reducing urban transportation energy consumption has often been ineffectively demonstrated by the diversity of cities. Therefore, the accuracy of evaluating the current efficiency rate of the urban energy consumption is necessary. Nevertheless, quantitative analyses related to the efficiency of transportation energy consumption are scarce, and the research on the current condition of consumption efficiency based on international quantitative analysis is almost nonexistent. On the basis of this background problem definitions, this research first built a database of the transportation energy consumption of private modes in 119 cities, with an attempt to reflect individual travel behaviors calculated by Person Trip data. Subsequently, Data Envelopment Analysis (DEA) was used as an assessment method to evaluate the efficiency of transportation energy consumption by considering the diversity of the urban traffic features in the world cities. Finally, we clarified the current condition of consumption efficiency by attempting to propose a target values for improving transportation energy consumption.