Research On Path Optimization Of Multimodal Transport Of Agricultural Products Under Uncertain Environment

As a large agricultural country,China has a huge output of agricultural products.The transportation of agricultural products has been widely concerned,but the existing transportation mode of agricultural products is still dominated by a single mode of transportation,and with a high cargo damage rate,there is still a large gap with developed countries.As a new mode of transportation,multimodal transport can improve these problems,reduce transportation costs and improve transportation efficiency.Therefore,the research on the multimodal transport path of agricultural products is of great significance to the transportation of agricultural products.Based on the transportation characteristics of agricultural products,multimodal transport and uncertainty related theories,this paper establishes the path optimization model of multimodal transport of agricultural products in an uncertain environment,so as to formulate a reasonable and efficient transportation scheme.The main work includes:(1)This paper analyzes the classification and transportation characteristics of agricultural products,expounds the advantages of multimodal transportation,operation process and uncertain factors in the transportation process of agricultural products,and introduces uncertain programming theory and triangular fuzzy number in fuzzy mathematics to express the uncertainty,so as to provide theoretical basis and support for the construction of follow-up multimodal transportation path model of agricultural products.(2)Considering the influencing factors of transportation cost and transportation time in the transportation process of agricultural products,the in transit transportation cost,node transfer cost,cargo damage cost,refrigeration cost and time penalty cost are analyzed one by one,the in transit transportation time and node transfer time are expressed by fuzzy variables,and a multi-objective multimodal transportation model of agricultural products with fuzzy variables is constructed,At the same time,the model is clearly transformed with the help of fuzzy chance constrained programming theory.(3)The solution process of multi-objective optimization model of multimodal transport of agricultural products based on NSGA-Ⅱ genetic algorithm is designed.The case is solved by Matlab programming software,the evenly distributed Pareto optimal solution set is obtained,and a variety of transportation schemes are provided for reference.Finally,the sensitivity of transportation period is analyzed to explore the impact of its change on transportation scheme.