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
학술저널
저자정보
Mohammad Hossein Karimi Gavareshki (Malek-Ashtar University of Technology) Seyed Javad Hosseini (Amirkabir University of Technology) Mohammad Khajezadeh (Iran University of Science and Technology)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.4
발행연도
2017.12
수록면
562 - 573 (12page)
DOI
10.7232/iems.2017.16.4.562

이용수

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

초록· 키워드

오류제보하기
Due to an increased today’s consciousness of environmental challenges, having green suppliers has become an essential concern for organizations about their supply chains. These considerations can help them to achieve their environmental goals and a competitive position in the industry. Thus, a robust framework to select the suppliers with environmental features and concerns is needed for today’s organizations. This study presents an integrated approach included interpretive structural modeling, Fuzzy MICMAC analysis, Fuzzy AHP and Vikor method. Initially, related factors to the green supplier selection are identified and the using the ISM and MICMAC analysis to determine the interaction of the categories and their subfactors driving and dependence power. The results depict that subfactors of “company resources and administrative capacity” category are the most important and fundamental affecting supplier selection problem. AHP is used to determine each weight of criteria and then using Vikor method and devotions analysis to select the most appropriate supplier. To evaluate the proposed framework a case example of brake pad factory is selected. Results is shown that supplier “C” got the highest rank in overall dimensions of study but in the second rank regard to the environmental dimensions.

목차

ABSTRACT
1. INTRODUCTION
2. GREEN SUPPLY CHAIN MANAGEMENT
3. METHODOLOGY
4. RESULTS
5. CONCLUSION
REFERENCES

참고문헌 (41)

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