Based On Cloud Computing Of Cold Chain Logistics Distribution Vehicle Routing Optimization Researching The Method

Cold chain logistics as a special kind of logistics is started late in China, Comparedwith developed countries, there is a gap between them. And the distribution is a key link inthe cold chain logistics system. Its informationalized level becomes cold chain logisticsenterprises advanced sign. The informatization of cold chain distribution is the developmentdirection of modern cold chain logistics enterprise. But some problems are existed in theinformatization process. For example, quick accessing to the transport network for thereal-time traffic information, quick calculation of the real-time vehicle optimal deliveryroute, the transport vehicle dynamics information obtained in real time and the high cost ofinformatization. These problems need to be solved in the cold chain logistics informationprocess. The emergence of cloud computing provides strong technical support to speed upthe logistics informatization. Research contents on the cloud-based cold chain logisticsvehicle routing optimization method are as follows.1. The cold chain logistics development status and the lack of cold chain logisticsvehicle routing problem are analyzed. Basing on cloud computing architecture, theadvantages of cloud computing and cold chain logistics vehicle path are researched, and themain contents are established.2. According to the cold chain logistics path elements, multi-source data of thedistribution of vehicle dynamic route optimization model is analyzed by the means ofclassification. And using the resource integration technology of cloud computing tointegrate and process the multi-source data. In order to create a cloud-based cold chainlogistics distribution vehicle routing optimization services application architecture, themulti-source data of optimization model is formed a data middleware, which is accessedthrough a unified interface.3. In the service application architecture, the real-time traffic information is acquired inthe transportation system. And after analyzing the delivery time and distribution costs of therefrigerated vehicles, the cold chain logistics distribution vehicle real-time pathoptimization model is established.4. Parallel programming mode of cloud computing is analyzed, and the parallelizationdesign of coarse-grained genetic algorithm is carried out. Then it is used to solve the optimization model simulation, the experimental results show that the cold chain logisticsdistribution vehicle routing optimization method using cloud computing is effective. Thismethod can work effectively and give real-time optimization path to achieve fine control ofthe cold chain logistics and distribution costs in time. Also the method improves theefficiency of distribution services and has certain theoretical significance and practicalvalue.