Abstract
In this paper, we take the winter Olympic Games held in Beijing in 2022 as the research background, mainly in the Olympic Games held during the cold chain food distribution path scheduling optimization problem. The Beijing Olympic Games in 2022 is the first time in the history of China to host the Winter Olympics, and in Beijing, Zhangjiakou two cities together, Beijing will soon become the history of the Olympic Games held the first summer Olympic Games and the Winter Olympic Games city. Therefore, during the Olympic Games held its research on the food supply problems of athletes, but also the issue of cold chain food distribution has become the focus of the study.Based on the model of vehicle routing problem with time window, we construct a cold chain food distribution model with the aim of minimizing the total cost of distribution. At the same time, in order to respond to the call of green Olympics and green supply chain, we consider energy saving and emission reduction. In the cost calculation, the environmental cost of carbon emission is added. Secondly, the routing of the distribution is optimized by the saving algorithm, and the distribution route is improved by the actual example given. The detailed distribution scheme is given Finally, according to the optimization results, some suggestions are put forward for the cold chain food distribution in the winter Olympic Games.
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