基于随机情况下的多温共配冷链物流配送方案研究
发布时间：2019-05-20 19:50
【摘要】：鉴于易腐产品的特性，对其储存，尤其是运输过程中进行优化冷藏的处理，可以有效的减少易腐产品的损耗，实现易腐产品的及时有效的配送。在易腐产品的配送过程中，路径的优化以及车辆的选择在很大程度上决定了产品的送达效率。多温共配的运营模式运用了现代科技技术发展成果，给低温物流业创造出新的价值。 近年来人们的生活水平大幅度的提高,工作节奏的加快，对生鲜冷冻产品的需求越来越大，生鲜和冷冻食品的加工产业得到了迅速的发展。冷链物流的利润最大化或者成本最小化已经成为冷链产业在配送过程中重点考虑的因素。冷链物流配送问题成为配送商实现利润最大化的关键。 论文以传统的受时间窗限制的车辆配送路径问题为基础，分析了冷链产业的特点。总结了传统车辆路径问题的求解方法，以及涉及的多种配送方案的问题。论文在第四章重点介绍了在多温共配的基础上如何使产品高效的到达分销商。研究过程中充分考虑了配送过程中所存在的各种成本，包括车辆的固定成本与维修成本，，保温箱以及保温箱充电成本，燃油成本，超过时间窗时的惩罚成本等，并在此基础上引入了产品不被接受的特殊情况和处理方案,该种情况在以往的理论研究中很少被提到。在随机环境下利用改进的粒子群算法得到最优路径轨迹。并且建立了冷链物流配送数学模型，该模型的有效性通过算例得到了验证，以期为冷链配送提供理论和运作指导。
[Abstract]:In view of the characteristics of perishable products, the storage of perishable products, especially in the process of transportation, can effectively reduce the wear and tear of perishable products and realize the timely and effective distribution of perishable products. In the process of distribution of perishable products, the optimization of route and the choice of vehicles determine the efficiency of product delivery to a great extent. The multi-temperature matching operation mode makes use of the development achievements of modern science and technology to create new value for the low temperature logistics industry. In recent years, the living standard of people has been greatly improved, the pace of work has been accelerated, the demand for fresh frozen products is increasing, and the processing industry of fresh and frozen food has been developed rapidly. The profit maximization or cost minimizing of cold chain logistics has become the key factor in the distribution process of cold chain industry. The cold chain logistics distribution problem becomes the key to realize the profit maximization of the distributor. Based on the traditional vehicle distribution routing problem limited by time window, this paper analyzes the characteristics of cold chain industry. This paper summarizes the solving methods of traditional vehicle routing problem and the problems of various distribution schemes involved. In the fourth chapter, the paper focuses on how to make the product reach the distributor efficiently on the basis of multi-temperature matching. In the course of the study, all kinds of costs existing in the distribution process are fully considered, including the fixed cost and maintenance cost of the vehicle, the charging cost of the incubator and the incubator, the fuel cost, and the penalty cost when the time window is exceeded. On this basis, the special situation and treatment scheme which the product is not accepted are introduced, which are rarely mentioned in the previous theoretical research. The optimal path trajectory is obtained by using the improved particle swarm optimization algorithm in random environment. The mathematical model of cold chain logistics distribution is established, and the effectiveness of the model is verified by an example in order to provide theoretical and operational guidance for cold chain distribution.
【学位授予单位】：烟台大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F252
本文编号：2481910
[Abstract]:In view of the characteristics of perishable products, the storage of perishable products, especially in the process of transportation, can effectively reduce the wear and tear of perishable products and realize the timely and effective distribution of perishable products. In the process of distribution of perishable products, the optimization of route and the choice of vehicles determine the efficiency of product delivery to a great extent. The multi-temperature matching operation mode makes use of the development achievements of modern science and technology to create new value for the low temperature logistics industry. In recent years, the living standard of people has been greatly improved, the pace of work has been accelerated, the demand for fresh frozen products is increasing, and the processing industry of fresh and frozen food has been developed rapidly. The profit maximization or cost minimizing of cold chain logistics has become the key factor in the distribution process of cold chain industry. The cold chain logistics distribution problem becomes the key to realize the profit maximization of the distributor. Based on the traditional vehicle distribution routing problem limited by time window, this paper analyzes the characteristics of cold chain industry. This paper summarizes the solving methods of traditional vehicle routing problem and the problems of various distribution schemes involved. In the fourth chapter, the paper focuses on how to make the product reach the distributor efficiently on the basis of multi-temperature matching. In the course of the study, all kinds of costs existing in the distribution process are fully considered, including the fixed cost and maintenance cost of the vehicle, the charging cost of the incubator and the incubator, the fuel cost, and the penalty cost when the time window is exceeded. On this basis, the special situation and treatment scheme which the product is not accepted are introduced, which are rarely mentioned in the previous theoretical research. The optimal path trajectory is obtained by using the improved particle swarm optimization algorithm in random environment. The mathematical model of cold chain logistics distribution is established, and the effectiveness of the model is verified by an example in order to provide theoretical and operational guidance for cold chain distribution.
【学位授予单位】：烟台大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F252
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相关期刊论文 前4条
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本文编号：2481910
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