| 基于新鲜度和配送成本的易腐食品配送路径 |
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| 引用本文： | 李畅,陈淮莉.基于新鲜度和配送成本的易腐食品配送路径[J].上海海事大学学报,2019,40(1):14-20. |
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| 作者姓名： | 李畅 陈淮莉 |
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| 作者单位： | 上海海事大学物流科学与工程研究院 |
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| 基金项目： | 国家社会科学基金 (15BGL084)；上海市科学技术委员会重点项目（16040501800）；上海市科学技术委员会科研计划(14DZ2280200)；上海市哲学社会规划课题（2014BGL018） |
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| 摘 要： | 为解决企业在制定易腐食品配送计划时难以权衡配送总成本与交付产品的新鲜度的问题,建立以配送总成本最低和交付产品平均新鲜度最大为目标,带时间窗的易腐食品配送路径规划模型。采用自适应差分进化(differential evolution,DE)算法求解模型,通过数值算例验证模型和算法的有效性。与基本DE算法和基本蚁群算法的求解结果进行对比,自适应DE算法的求解结果更优,收敛速度更快。求得的帕累托解集表明配送总成本与交付产品平均新鲜度相悖,增加少量的配送成本可以使交付产品的平均新鲜度得到大幅提升。对易腐食品保质期、时间窗宽度和车辆装载量进行灵敏度分析,为企业在不同配送情景下在配送总成本与交付产品的平均新鲜度之间的权衡提供参考。
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| 关 键 词： | 易腐食品 新鲜度 成本 配送路径 差分进化（DE）算法 |
| 收稿时间： | 2018/1/17 0:00:00 |
| 修稿时间： | 2018/5/2 0:00:00 |
Distribution route of perishable food based on freshness and distribution cost |
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| Institution: | Shanghai Maritime University Logistics Research Center and Shanghai Maritime University Logistics Research Center |
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| Abstract: | In order to solve the problem enterprises faced with when making the highly perishable food distribution planning that it is difficult to balance between the total cost of distribution and the freshness of delivery products, a distribution route planning model of perishable food with time window is established with the objectives of the minimum total cost of distribution and the maximum average freshness of pro ducts. The adaptive differential evolution (DE) algorithm is used to solve the model. A numerical example is used to verify the validity of the model and the algorithm. Compared with the results of the basic DE algorithm and the basic ant colony algorithm, the adaptive DE algorithm has better results and faster convergence speed. The obtained Pareto solution set shows that the relationship between the total cost of delivery and the average freshness of delivery products are contrary. By increasing a small amount of distribution cost, the average freshness of delivery products can be greatly improved. Sensitivity analysis on perishable food shelf life, time window width and vehicle loading provides reference for enterprises to balance between the total cost of delivery and the average freshness of delivered products under different distribution scenarios. |
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| Keywords: | perishable food freshness cost distribution route differential evolution (DE) algorithm |
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