| Rural cold storage is located in the key position of the "first kilometer" of fresh agricultural products supply chain,which directly affects the after-harvest fresh-keeping effect of fresh agricultural products.It is of great significance for giving play to the role of local refrigeration facilities in improving the quality and efficiency of fresh agricultural products and improving the modernization level of fresh agricultural products supply chain.The online retail sales of agricultural products in China reached 250.67 billion yuan in 2022,up by 11.2%year on year.More and more farmers are selling agricultural products with the help of fresh E-commerce.However,the current cold storage location is difficult to match the small batch and scattered cold storage needs of farmers,and the contradiction between the long-term nature of cold storage and the seasonality of fresh agricultural products is becoming increasingly prominent.How to design the location of cold storage scientifically and reasonably has become a difficult problem for many cold storage operators in villages and towns.Aiming at the problem of cold storage location in villages and towns under the Ecommerce mode,this paper mainly makes contributions in the following three aspects:First,according to the characteristics of small batch and scattered cold storage demand of E-commerce farmers,the satisfaction of farmers was measured through two dimensions of cold storage service reliability and transportation freshness,and the satisfaction of farmers was introduced into the village location model in the form of penalty cost.In the part of numerical experiment,the influence of the variation of farmers’ satisfaction penalty cost on the total cost of cold storage operators and cold storage location is explored.Secondly,in view of the seasonal demand for cold storage of fresh agricultural products and the long-term operation of cold storage,the temporary cold storage is introduced,and two types of cold storage location models of fixed and "fixed + temporary" are proposed to serve E-commerce farmers.In the part of case study,the location of rural cold storage in Luochuan was taken as an example to verify the validity of the model,and the optimal location of cold storages was obtained and the service relationship between cold storage and farmers was determined.Thirdly,to solve the problems of slow convergence and low search efficiency of the artificial bee colony algorithm,the Tent map was introduced in the initialization and search phase of employeed bees,and an improved artificial bee colony algorithm was proposed.The effectiveness of the algorithm was verified by random examples.The main conclusions of this paper are as follows:(1)Farmers’ satisfaction has an important impact on location of cold storage.When the penalty cost of farmers’ satisfaction exceeds 200%,the results of cold storage location will be significantly affected.Therefore,cold storage operators need to consider farmers’ satisfaction when selecting sites.(2)Both the fixed cold storage location model and the "fixed + temporary" hybrid cold storage location model have the optimal total cost when seven cold storage units are built,and the total cost of the "fixed + temporary" hybrid cold storage location model is 25.6% lower than that of the fixed cold storage model,which effectively controls the total cost.(3)Compared with artificial bee colony algorithm and particle swarm optimization algorithm,the improved artificial bee colony algorithm’s average solving time of Luochuan rural cold storage location case decreased by 10.77% and 51.6%... |
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