유전 알고리즘을 이용한 다 제품 생산용량 및 분배계획 최적화

• 영문명: Optimization of the Distribution Plan and Multi-product Capacity using Genetic Algorithm
• 발행기관: 한국산업경영시스템학회
• 저자명: 이종환(Jonghwan Lee) 위도영(Do-Yeong Wie) 정지용(Ji-Yong Jeong) 이정호(Jung-ho Lee) 김상정(Sang-Jung Kim) 변민석(Min-Suk Byon) 권문수(Moon-Soo Kwon) 장세인(Se-in Jang)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2014년 춘계학술대회 논문집, 64~70쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2014.05.10

영문 초록

Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer's demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.

목차

Abstract

1. 서론

2. 문제 설정

3. 실험 및 적용결과

4. 실험결과

5. 결론

REFERENCES

키워드

Supply Chain Management Genetic Algorithm Optimization Production Plan Distribution Plan