• 산업경영시스템학회지
• /
• 제41권3호
• /
• pp.61-71
• /
• 2018

The purpose of this study is to analyze the efficiencies of project management offices in large information system construction projects using the data envelopment analysis. In addition, we tried to estimate the confidence interval of those efficiencies using bootstrap DEA to give a statistical meaning. The efficiency by the CCR model is analyzed as eight project management offices are fully efficient and 22 project management offices are inefficient. On the other hand, there are 15 project management offices are fully efficient, but 15 project management offices are inefficient in the BCC model. As the result of the scale efficiencies, of the inefficient project management offices, 13 project management offices are inefficient in scale. It is possible to eliminate the inefficiency in the CCR model by improving their project performances. And, the nine project management offices showed that the inefficiency was due to pure technical efficiency, and these companies should look for various improvements such as improvement of project execution system and project management process. In order that the inefficient project management offices be efficient, it is analyzed that more efforts must be made for on-budget and on-time as a result of examining the potential improvement potentials of inefficient project management offices.

• 한국컴퓨터정보학회논문지
• /
• 제26권4호
• /
• pp.223-229
• /
• 2021

본 연구는 공공기관의 부채 규모를 결정하는 요인이 무엇인지 검증하는 것을 목적으로 한다. 구체적으로 본 연구는 공공기관의 내부적 요인으로써 비효율적 경영이 부채비율에 미치는 영향을 분석한다. 비효율적 경영을 대리하는 변수로는 총원가, 급여 규모, 복리후생비 규모를 고려하였다. 본 연구의 분석결과는 다음과 같다. 첫째, 총원가 변수는 공공기관의 부채비율과 통계적으로 유의한 양의 관계를 나타내었다. 이는 총원가가 큰 기업일수록 부채 규모가 증대됨을 의미한다. 둘째, 급여 규모와 복리후생비 규모는 공공기관의 부채비율과 통계적으로 유의한 관련성을 나타내지 않았다. 이들 결과는 공공기관의 방만한 경영과 비효율적 운영이 부채 규모를 증대시킨다는 일각의 우려에 대해 답변을 대신할 수 있는 실증적 결과라 하겠다.

• 한국병원경영학회지
• /
• 제12권1호
• /
• pp.51-74
• /
• 2007

This study applied Data Envelopment Analysis to a set of Korean Public Corporation Medical Centers and Japanese Municipal Hospitals to compare their relative human resource efficiencies. Based on the data provided on the inputs and outputs, the analysis showed Japanese municipal hospitals were relatively efficient than Korean hospitals. The result of analysing BCC model shows 5 hospitals in Japan and 7 in Korea with an efficiency rating of less than 1 as considered relatively inefficient. For the inefficient hospitals the manner in which inefficient hospitals may be made efficient were indicated by the managerial strategies based on dual variables. A subsequent analysis of Wilcoxon rank-sum test revealed that the medical revenue per medical expense, labor cost per value added revenue were statistically significant between efficient and inefficient Korean hospitals and medical revenue per medical expense, labor cost per value added revenue, bed occupancy rate, average length of stay, rate of personnel expenses per medical revenue were statistically significant between efficient and inefficient Japanese hospitals.

• 품질경영학회지
• /
• 제47권1호
• /
• pp.33-46
• /
• 2019

Purpose: This study proposed a DEA (Data Envelopment Analysis)-based stepwise benchmarking target selection for inefficient DMU (Decision Making Unit) to improve its efficiency gradually to reach most efficient frontier considering resource (DEA inputs and outputs) improvement preferences. Methods: The proposed method proceeded in two steps. First step evaluates efficiency of DMUs by using DEA, and an evaluated DMU selects benchmarking targets of HCU (Hypothesis Composit Unit) or RU (Real Unit) considering resource improvement preferences. Second step selects stepwise benchmarking targets of the inefficient DMU. To achieve this, this study developed a new DEA model, which can select a benchmarking target of an inefficient DMU in considering inputs or outputs improvement preference, and suggested an algorithm, which can select stepwise benchmarking targets of the inefficient DMU. Results: The proposed method was applied to 34 international ports for validation. In efficiency evaluation, five ports was evaluated as most efficient port, and the remaining 29 ports was evaluated as relative inefficient port. When port 34 was supposed as evaluated DMU, its can select its four stepwise benchmarking targets in assigning the preference weight to inputs (berth length, total area of pier, CFS, number of loading machine) as (0.82, 1.00, 0.41, 0.00). Conclusion: For the validation of the proposed method, it applied to the 34 major ports around the world and selected stepwise benchmarking targets for an inefficient port to improve its efficiency gradually. We can say that the proposed method enables for inefficient DMU to establish more effective and practical benchmarking strategy than the conventional DEA because it considers the resource (inputs or outputs) improvement preference in selecting benchmarking targets gradually.

• 대한지역사회영양학회지
• /
• 제12권2호
• /
• pp.178-188
• /
• 2007

This study was performed to suggest a new efficiency measurement indicator is necessary for evaluating management efficiency of food service operations in contract-managed foodservice companies, to distinguish efficient food service providers and inefficient ones by measuring comparative efficiency among food service operations, and to provide guidance for effective management through showing benchmarking targets for improving inefficient food service providers. The subjects of this study were the 93 B&I foodservice Operations of a domestic contract food service company. The analysis was conducted using CCR model in DEA model. A software, 'Frontier analyst', was used for the analysis. Based on the results derived from comparison of efficiency evaluation classified by providers with use of DEA, it was possible to identify efficient food providers and inefficient providers, and subsequently provide benchmarking guidelines for improvement of the inefficient groups. In analyzing the differences between the results of DEA efficiency evaluation by detailed operation status of food service providers, there was significant difference of efficiency outcomes in terms of contract types, while there was no significant difference in terms of business condition.

• 한국산업정보학회:학술대회논문집
• /
• 한국산업정보학회 2006년도 춘계 국제학술대회 논문집
• /
• pp.77-88
• /
• 2006

Data Envelopment Analysis (DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. DEA offers no guidelines to where relatively inefficient DMU(Decision Making Unit) improve since a reference set of an inefficient DMU consists of several efficient DMUs and it doesn't provide a stepwise path for improving the efficiency of each inefficient DMU considering the difference of efficiency. We aim to show that DEA can be used to evaluate the efficiency of System Integration Projects and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with machine learning.

• 한국식품영양학회지
• /
• 제22권1호
• /
• pp.132-140
• /
• 2009

This study was performed to examine the manpower structure of foodservice operations, evaluate the management efficiency of each operation, and propose efficiency improvement guidelines for inefficient operations. For this purpose, a total of 224 B&I foodservice operations managed by an 'A' contract-managed foodservice company were chosen as the study sample. The efficiency scores were obtained through Data Envelopment Analysis(DEA) using the CCR model. The efficiency scores ranged from 63.56 to 100 and the average score was 82.47. The average efficiency score of Group 'C'(factory, more than 1,000 meals per day) was the highest among 6 groups. The results of further operations analysis in group 'C' showed that the labor cost percentage was significantly lower(p<0.001) and sales per man-hour significantly higher(p<0.001) in efficient operations compared to inefficient operations within group 'C'. Finally, efficiency improvement guidelines were suggested for the most inefficient operations in group 'C'.

• 한국경영과학회지
• /
• 제41권1호
• /
• pp.127-143
• /
• 2016

This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.

• 한국컴퓨터정보학회논문지
• /
• 제12권1호
• /
• pp.205-217
• /
• 2007

본 연구에서는 일반은행의 경영효율성 변화에 대한 분석을 하였다. DEA를 통하여 은행별 효율성을 규명한 후, 상대적으로 효율적인 은행과 비효율적인 은행으로 구분하였다. 비효율적인 은행에 대해서는 비효율적인 부문 및 정도를 파악하고자 하였으며, 효율성 개선방안의 제시와 BCC모형으로 은행의 규모가 경영효율성에 미치는 영향도 분석되어졌다. 또한, 시중은행과 지방은행간 효율성에 차이가 나타나는 가를 검증하였다. 분석 결과 시중은행과 지방은행 모두 2000년 이후 지속적인 경영효율성 개선을 보여주고 있으며, 시중은행의 경영효율성이 2000년을 제외하고는 지방은행보다 높은 것으로 나타났다. 시중은행과 지방은행간 자기자본비율을 제외한 검정변수에 있어서는 차이가 존재하는 것으로 나타났으며, 경영효율성 차이에서는 별다른 차이가 없음을 보여주고 있다. 규모가 경영효율성에 미치는 영향에서는 구조조정과 합병에 의한 규모의 효과가 없거나 오히려 부의 영향을 미치는 것으로 나타나고 있다.

• 한국경영과학회지
• /
• 제25권1호
• /
• pp.1-13
• /
• 2000

Electronic Data Interchange (EDI) has a significant impact on business practices by eliminating paper related adult trails and enabling transactions to be processed at high speed without human intervention. Major advantages advangtages and benefits derived from EDI, however, depend upon the usage of EDI controls. Management must determine whether their investment on EDI controls is appropriate, as the establishment of EDI controls demandds much resources and high skills. This study proposes data envelopment analysis model to identify efficient and inefficient EDI control systems in various context of input (formal and automated EDI controls) and output (EDI implementation and performance). DEA can also determine the factors that are significantly different between efficient and inefficient groups. The model is tested using data collected form EDI adopters.