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Optimization of the Distribution Plan and Multi-product Capacity using Genetic Algorithm

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  • URLhttps://db.koreascholar.com/Article/Detail/353539
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한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
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
저자
  • Jonghwan Lee(금오공과대학교) | 이종환
  • Do-Yeong Wie(금오공과대학교) | 위도영
  • Ji-Yong Jeong(금오공과대학교) | 정지용
  • Jung-ho Lee(금오공과대학교) | 이정호
  • Sang-Jung Kim(금오공과대학교) | 김상정
  • Min-Suk Byon(금오공과대학교) | 변민석
  • Moon-Soo Kwon(금오공과대학교) | 권문수
  • Se-in Jang(금오공과대학교) | 장세인