基于动态需求的冷链物流配送调度模型研究

发布时间：2019-05-01 07:27

【摘要】：我国是一个生鲜食品生产和消费的大国,由于人口和国情的因素,冷链物流的资源的配置严重不合理,优秀的人才和先进的设备都集中于大中型城市,且技术落后,使得冷链物流配送过程中总是出现延迟现象,导致生鲜食品的腐败,这不仅会影响到消费者的身体健康,还会对分销商及配送中心带来利润上的损失。近年来,随着冷链物流的发展、科技的进步以及研究者对于冷链物流配送问题的关注,冷链物流配送问题已经成为影响物流技术发展的关键所在。国内学者为解决这个问题也做了大量的研究,然而,目前国内学者在这方面的研究虽然能够显著改善物流配送问题,但对动态需求下的冷链物流而言成本太大、可操作性不强,导致国内冷链物流配送问题仍然是十分棘手。本文以动态需求下的冷链物流配送系统为研究对象,以遗传算法理论的优化仿真为切入点,把现实中的动态需求和配送中心为各个分销商进行配送的路程相结合来寻找最优的配送路径,并结合遗传算法理论构建了冷链物流配送系统的配送调度模型,该模型给出了在动态需求条件下配送中心对分销商进行生鲜食品配送是所走的最少车次,在配送成本最小,最终得到最优的配送系统。在理论研究的基础之上,本文以广西某地区冷链物流配送系统为对象进行了实例验证。首先,实地调研了广西某地区冷链物流配送流程,收集相关数据(分销商对生鲜食品的需求量、分销商与配送中心和分销商与分销商之间的路径距离、分销商发出补货申请的频数),并进行分析和处理,得到分销商发出补货申请的时间分布、配送中心为分销商配送生鲜食品的车次调度,然后以仿真软件MTLAB为平台,结合之前的数据处理结果进行了建模仿真,得到配送中心依据得出的车次调度,进行配送生鲜食品的路径。最后,利用优化模型进行优化,给出广西某地区冷链物流配送系统中成本的最小范围,利用遗传算法得出最优的配送路径。
[Abstract]:China is a big country in the production and consumption of fresh food, because of the factors of population and national conditions, the allocation of cold chain logistics resources is seriously unreasonable, excellent talents and advanced equipment are concentrated in large and medium-sized cities, and the technology is backward. In the process of cold chain logistics distribution, there is always a delay phenomenon, which leads to the corruption of fresh food, which will not only affect the health of consumers, but also bring profit loss to distributors and distribution centers. In recent years, with the development of cold chain logistics, the progress of science and technology and the researchers' concern about cold chain logistics distribution, cold chain logistics distribution has become the key to the development of logistics technology. Domestic scholars have also done a lot of research to solve this problem. However, although the current domestic scholars in this field can significantly improve the logistics distribution problem, but under the dynamic demand of cold chain logistics, the cost is too large, and the maneuverability is not strong. Leading to the domestic cold chain logistics distribution problem is still very difficult. This paper takes the cold chain logistics distribution system under the dynamic demand as the research object, and takes the optimization simulation of the genetic algorithm theory as the breakthrough point. The dynamic demand in reality and the distance of distribution center for each distributor are combined to find the optimal distribution route, and the distribution scheduling model of cold chain logistics distribution system is constructed based on the theory of genetic algorithm. Under the condition of dynamic demand, the model shows that the distribution center carries out fresh food distribution to the distributor is the least number of cars, and the distribution cost is the smallest, and finally the optimal distribution system is obtained. On the basis of theoretical research, this paper takes a cold-chain logistics distribution system in a certain area of Guangxi as an example to verify. Firstly, the paper investigates the cold chain logistics distribution process in a certain area of Guangxi and collects relevant data (the demand of distributors for fresh food, the path distance between distributors and distribution centers and distributors). The distribution center is used as the distributor to dispatch the fresh food, and then the simulation software MTLAB is used as the platform, and the distribution center is used as the distributor to distribute the fresh food, and then the simulation software MTLAB is used as the platform, and the distribution center is used as the distributor to distribute the fresh food, and the distribution center is the distributor to distribute fresh food. Combined with the results of the previous data processing, modeling and simulation were carried out, and the route of distribution of fresh food was carried out according to the dispatch of the train times obtained by the distribution center. Finally, the optimization model is used to optimize the distribution system of cold chain logistics in Guangxi, and the minimum range of the cost is given. The optimal distribution path is obtained by using genetic algorithm.
【学位授予单位】：广西科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP18;F259.27

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