摘要
以蓄冷式多温共配和机械式多温共配模式为研究对象,充分考虑多温共配过程中的固定成本、行驶成本、制冷成本、变质成本、保温箱成本、违反时间窗的惩罚成本和碳税成本,分别构建了以配送总成本最小化为目标的蓄冷式多温共配和机械式多温共配路径优化模型,并设计了优化多温共配路径的蚁群算法。最后,通过实际算例,分别对2种多温共配模式的效益(经济性、安全性、灵活性、环保性)进行了对比分析,论证了蓄冷式多温共配运作模式的理论支撑性和实践应用性。
Taking cold accumulation and insulated box multi-temperature joint distribution （MTJD） mode and mechanical refrigerated compartment division MTJD mode as the research object, 2 MTJD route optimization models with the objective of minimizing total distribution cost （ giving full consideration of fixed cost, running cost, cooling cost, deterioration cost, insulated box cost, penalty cost for breaching time window, and carbon tax cost） for the abovementioned 2 MTJD modes are established respectively, and the ant colony algorithm to optimize the MTJD route is designed. Finally, a numerical example of comparatively analying the different benefits （economy, security, flexibility, environmental protection ） of the 2 MTJD modes is presented to demonstrate the replaceable cold accumulation and insulated box MTJD has more theoretical support and practical applicability.
出处
《公路交通科技》
CAS
CSCD
北大核心
2016年第3期146-153,共8页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(71372122)
教育部人文社会科学规划项目(11YJA630132)
山东省社科规划项目(15DGLJ05)
关键词
运输经济
多温共配
蚁群算法
冷链物流
车辆路径问题
transport economics
multi-temperature joint distribution
ant colony algorithm
cold chain logistics
VRP
