생성집합을 이용한 다 기간 성과평가를 위한 DEA 모델 개발 및 공학교육혁신사업 사례적용

• 영문명: Multi-period DEA Models Using Spanning Set and A Case Example
• 발행기관: 한국산업경영시스템학회
• 저자명: 김기성(Kiseong Kim) 이태한(Taehan Lee)
• 간행물 정보: 『산업경영시스템학회지』제45권 제3호, 57~65쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2022.09.30

영문 초록

DEA(data envelopment analysis) is a technique for evaluation of relative efficiency of decision making units (DMUs) that have multiple input and output. A DEA model measures the efficiency of a DMU by the relative position of the DMU’s input and output in the production possibility set defined by the input and output of the DMUs being compared. In this paper, we proposed several DEA models measuring the multi-period efficiency of a DMU. First, we defined the input and output data that make a production possibility set as the spanning set. We proposed several spanning sets containing input and output of entire periods for measuring the multi-period efficiency of a DMU. We defined the production possibility sets with the proposed spanning sets and gave DEA models under the production possibility sets. Some models measure the efficiency score of each period of a DMU and others measure the integrated efficiency score of the DMU over the entire period. For the test, we applied the models to the sample data set from a long term university student training project. The results show that the suggested models may have the better discrimination power than CCR based results while the ranking of DMUs is not different.

목차

1. 서 론

2. 생산가능집합

3. DEA 모델 및 다기간 성과평가

4. 적용사례

5. 결 론

키워드

Data Envelopment Analysis Multi-period Efficiency Spanning Set Production Possibility Set