조선 성과 측정을 위한 다차원 생산성의 분석

다국어 초록 (Multilingual Abstract)

The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies.
The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 조선 산업의 생산성
• 3. DEA와 Tobit 분석을 이용한 조선생산성 분석
• 4. 조선 생산성의 분석
• 5. 결론 및 시사점
• 참고문헌

참고문헌 (Reference)

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2 박석호, "조선산업의 생산성과 효율성 변화와 그 결정요인" 한국항만경제학회 28 (28): 155-177, 2012

3 배재호, "자료포락 분석을 이용한 지방 사립 전문대학교 학과의 효율성 비교 및 성과 달성 목표수준 정의" 대한산업공학회 39 (39): 298-312, 2013

4 전익진, "연구개발 사업화 성과 평가 : DEA 기반 3단계 R&BD 성과 모형" 대한산업공학회 41 (41): 425-438, 2015

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7 "Productive Shipyards"

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