In order to meet the demand of consumers to fresh goods and reduce the transport cost of fresh cold chain logistics, this paper firstly expounds the development status of fresh cold chain in our country. On this basis, the factors affecting the cost of fresh cold chain logistics in multimodal transport are analyzed, which are mainly the different costs caused by the different transport distance, transport mode, transport time and transport node selection. In order to reduce the fixed cost, transport cost of distribution vehicles, node transport cost, freight damage cost in the process of refrigerated fresh food transport and energy cost consumed by refrigerated goods in the process of distribution brought by various influencing factors, the cost optimization model of fresh cold chain logistics multimodal transport was established and solved by genetic annealing algorithm for example. The multimodal transportation path with the optimal cost within the time specified by the customer is obtained, which effectively reduces the penalty value in the distribution process and reduces the transportation cost.
The traditional logistics industry has a history of many years of development. However, with the changes of the times and the progress of technology, the county express logistics has gradually developed into a ' bridge ' connecting agricultural products into the city and industrial products into the village, which has become a key factor in promoting modern economic development and promoting rural revitalization. Aiming at the problems of high cost, poor service and difficulty in entering the home of rural express delivery, this paper puts forward the terminal distribution mode of joint distribution + crowdsourcing, and combines the actual geographical coordinates, uses genetic algorithm and MATLAB to verify the example, and obtains the most suitable location scheme.
The logistics industry plays an indispensable role in our lives. But most logistics companies have the phenomenon of high logistics costs, which greatly limits the sustainable development of enterprises. For this reason, reducing logistics costs has become one of the immediate problems. As a heart of the system, transportation, particularly trunk logistics, plays an important role in coordinating and promoting regional economic development. The establishment of a reasonable transport network to reduce the logistics costs of enterprises to a large extent and can help enterprises to improve economic efficiency and service level. Taking Jingdong as an example, this paper combines the relevant theories of minimum cost and maximum flow into practical application. It is solved by MATLAB software. Analyze and optimize the transportation network to realize transportation standardization.
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