Earticle

초록

영어

Today, the management environments of intelligence firm are changing the way of production planning and logistics management, and are changing the process of supply chain management system. This paper shows the development of information system software for intelligence enterprises is used in supply chain management for robot engineering industry. Specifically, supply chain management system in this paper has been developed to analyze the impact of multi plant and multi distribution environment, showing the process analysis and system development of hierarchical assembly manufacturing industry. In this paper we consider a production planning and distribution management system of intelligence firm in the supply chain. We focus on a capacitated production resource and distribution volume allocation problem, develop a mixed integer programming model, and propose an efficient heuristic procedure using a genetic algorithm to solve it efficiently. This method makes it possible for the population to reach the feasible approximate solution easily. The proposed regeneration procedures, which evaluate each infeasible chromosome, makes the solution converge to the feasible approximate solution quickly.

목차

Abstract
 1. 서론
 2. 수리모형
  2.1 생산 분배 단계 수리모형
  2.2 유통 단계 수리모형
 3. 알고리듬
  3.1 혼합 유전 알고리듬 설계
  3.2 통합 생산 및 분배 시스템을 위한 유전 알고리듬
 4. 수치예제
 5. 결론
 참고문헌

키워드

저자

• 조성민 [ Sung-Min Jo | 한양대학교 전략경영학과 박사과정 ]
• 김태영 [ Tai-Young Kim | 한양대학교 경상대학 경영컨설팅학과 겸임교수 ]
• 황승준 [ Seung-June Hwang | 한양대학교 경상대학 경영학부 부교수 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005