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
Anik Yuesti (University of Mahasaraswati Denpasar) Paitoon Chetthamrongchai (Kasetsart University) Alim Al Ayub Ahmed (Jiujiang University) Vera Anitra (Universitas Muhammadiyah Kalimantan Timur) Surendar Aravindhan (Universitas Pendidikan Mandalika) Ravil Akhmadeev (Plekhanov Russian University of Economics) Dedy Achmad Kurniady (universitas pendidikan indonesia) Clara Neltje Meini Rotinsulu (Tompotika University) M. Kavitha (Saveetha University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.21 No.2
발행연도
2022.6
수록면
355 - 365 (11page)
DOI
10.7232/iems.2022.21.2.355

이용수

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

초록· 키워드

오류제보하기
Supply chain network design of a product is one of the primary and strategic measures in supply chain management that plays a vital role in supply chain performance. Since blood is a special commodity and has no substitute, supply chain management and optimization have a special place among researchers. In this research, for the first time, a two-objective nonlinear mixed integer model is presented to help make strategic and operational decisions in the blood supply chain. The first objective function is related to cost minimization and the second objective function is related to supply chain reliability maximization, which is considered as a series-parallel system. To check the validity of the model, a numerical example is solved using GAMS software, then using MOPSO meta-heuristic algorithm, the model is solved in larger dimensions and while comparing the performance criteria of multi-objective algorithms, the results are reviewed.

목차

ABSTRACT
1. INTRODUCTION
2. STATEMENT OF THE PROBLEM
3. METHODOLOGY
4. COMPUTATIONAL RESULTS
5. CONCLUSION AND RECOMMENDATIONS
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

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2022-530-001519909