摘要
针对生鲜农产品配送时效性强的特点,应用模糊隶属度函数表示的时间窗反映客户满意度,引入生鲜度损耗系数反映农产品价格随时间推移而下降的特性,在此基础上,考虑配送总成本和顾客满意度两个目标,建立了生鲜农产品配送路径多目标优化模型,设计了求解模型的智能算法,并用算例对模型及算法的有效性进行验证,同时对模型参数进行了敏感性分析。研究结果表明:所建立的模型及设计的算法是有效的,可以为生鲜农产品车辆配送路径优化决策提供理论依据和实践指导。
Aiming at the strong time-sensitive character of fresh agricultural products logistics distribution,time window represented by fuzzy subordinative degree function is applied to reflect customer satisfaction.Freshness loss coefficient is introduced to reflect the characteristic of agricultural products that its price decreases with time.On this basis,taking the two goals that distribution cost minimum and customer satisfaction maximum into consideration,establishing a multi-objective optimization model of agricultural products distribution route,designing intelligent algorithm to solve the model.With a numerical examples the effectiveness of the model and the algorithm is proved,and the sensitivity of the parameters in model are analyzed with numerical examples.The results show that the established model and algorithm are effective and can provide theoretical basis and practical guidance for vehicle routing problem of fresh agricultural products.
出处
《工业工程与管理》
CSSCI
北大核心
2015年第1期122-127,134,共7页
Industrial Engineering and Management
基金
教育部人文社会科学研究规划基金资助项目(12YJA630097)
中国博士后科学基金资助项目(20110491567)
江苏省高校研究生科研创新计划项目(CXZZ13_0861)
关键词
生鲜农产品配送
VRP
时间窗
模型与算法
fresh agricultural products distribution
VRP
time window
model and algorithm
