摘要
远洋渔获物从港口出发被运输至各个需求市场的过程中,冷链配送方案的规划对于提高运输效率与降低成本投入等方面都起着至关重要的作用.为了提升配送效率和降低配送成本,根据渔获物受配送时间和环境温度等影响发生不同程度耗损的特点,引入低温能耗与需求时间窗等成本要素,建立了以配送服务时间最短和成本最小为目标的多目标冷链配送模型.根据所建立模型的决策变量,设计相应的遗传算法求解并结合某港口配送中心的算例进行分析.结果表明:本文提出的冷链物流配送模型可以为企业实现较少配送时间与较低成本,进而验证了模型的可行性.
During the process that ocean catches are transported from ports to markets, one rea- sonable cold chain distribution plan plays an important role in raising transport efficiency and lowering the cost input. In order to improve the distribution efficiency and reduce distribution costs since fish catches can be affected by the distribution time and environmental temperature in different levels, the multi-objective cold-chain distribution model is established aiming to achieve shortest delivery time and minimum cost. The model takes multiple cost elements into account in- cluding energy consumption at low temperature and demand time window. Then according to the decision variables of the model, the corresponding genetic algorithm is designed and a case study about one port distribution center is analysed. The results show that the proposed cold-chain lo- gistics distribution model can achieve less delivery time and lower distribution cost for the enter- prise and the models have been proved feasible.
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2017年第3期34-38,共5页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家科技支撑计划(2013BAD13B05)
上海市科技创新行动计划(15DZ1202202)~~
关键词
水路运输
远洋渔业
冷链物流
多目标优化
模型
waterway transportation
pelagic fishing
cold chain logistics
multi-objective optimiza- tion
model
