메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Taehoon Kim (고려대학교) Ung-Kyun Lee (Oklahoma State University) Wi Sung Yoo (Construction and Economy Research Institute of Korea) Sung-Hoon An (Daegu University) Hunhee Cho (Korea University) Younghoon Lee (Korea University) Nakju Doh (Korea University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2010
발행연도
2010.10
수록면
616 - 621 (6page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Many studies which try to integrate construction technologies with robotic technologies have been actively progressing. It is critical for an assessment model of the economical efficiency of new technologies to ensure the correct investment and the spread of these new technologies. However, an assessment model of economical efficiency of automated construction technology to evaluate properly various influencing factors in terms of technology and economy is relatively unsatisfied as there are no practical cases. Therefore, our research team has developed a new assessment process for automated construction technologies as a decision tool, inspired by benefit-cost analysis. This presented process was employed to evaluate the test-bed and the results show that the BI and CI are 1.24 and 5.22, respectively, and economic efficiency is 0.24. The results indicate that the applications of four new technologies present a significantly strong benefit and respectively large cost, compared to the traditional process. As establishing an assessment model of an automated construction system which has not previously been known, it is expected to understand the effect and potential power of the application of robot technology to the construction industry. For further study, it is necessary for the integration method to be developed because of the degree of difference between BI and CI.

목차

Abstract
1. INTRODUCTION
2. LITERATURE RIVIEW
3. DEVELOPMENT OF AN ASSESSMENT MODEL
4. CASE STUDY
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-569-000937765