Distribution delay is a common problem that causes logistics distribution plan difficult to implement. This paper using the customer satisfaction degree, the vehicle drivers’ satisfaction degree, the logistics company deviation cost and the customer future selection lost cost to measure the disturbing degree of disruption events. In this paper, a Genetic Algorithm based on improved elitist strategy is designed, and using re-scheduling and disruption management to solve the instance respectively, it demonstrated the effectiveness and feasibility of disruption management methods.
목차
Abstract 1. Introduction 2. Disruption Management Model Construction 2.1. Problem Description 2.2. Disruption Measurement 2.3. Model Construction 3. Algorithm Design 4. Empirical Analysis 5. Conclusions Acknowledgment Reference
키워드
Logistics distributionDistribution time delayDisruption managementVehicle schedulingNew evolutionary algorithm
저자
Ren Xiangyang [ School of Economics and Management, Hebei University of Engineering, Handan 056038, P.R.China ]
Zhou Xingyao [ School of Economics and Management, Hebei University of Engineering, Handan 056038, P.R.China ]
Guo Yanan [ School of Information, Shanxi Agricultural University, Jinzhong 030801, P.R. China ]
Corresponding author
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.8