Affiliations:
College of Mathematics and System Science, Xinjiang University, Urumqi, China
Correspondence:
[*]
Corresponding author. Yuhong Sheng, College of Mathematics and System Science, Xinjiang University, Urumqi 830017, China. E-mail: [email protected].
Abstract: The contradiction between logistics and distribution capacity and people’s increasing demand has attracted more and more attention from all walks of life. At present, there are many problems and deficiencies in logistics in China. This paper establishes the location model of the national supply chain logistics center, taking the vegetable logistics distribution as an example. Based on the principle of maximum satisfaction and satisfying demand, a vegetable material flow location model with the ability to predict the annual yield of vegetables is proposed by using the advantages of Holt’s linear trend method and immune algorithm in solving multi-objective optimization problems. Finally, the algorithm is applied to select the optimal logistics center in 31 provinces in China to maximize customer satisfaction. Thus, Chengdu, Guangzhou, Nanchang, Nanjing, Shijiazhuang, and Changchun re used as vegetable logistics centers.
Keywords: Uncertainty theory, location model, immune algorithm, uncertain programming, expected value model
