| In the wake of the COVID-19 pandemic,the stability of supply chains has received more attention.Among them,agricultural products,as the basic means of living,are more vulnerable to the impact of interruption risk due to their own particularity,not easy to store,easy to corrode,seasonal sales and other characteristics.The elastic supply chain of agricultural products can quickly recover to the normal supply state after the interruption risk occurs,so as to minimize the impact of the interruption on the supply chain.An elastic agricultural supply chain needs to meet the following requirements: First,it should be able to adapt to changes and fluctuations in market demand.This requires flexibility and the ability to adjust production and transportation plans at short notice to meet changes in market demand.Second,it should be able to cope with emergencies,such as production and transportation disruptions caused by natural disasters,political unrest,etc.This requires a variety of sources and channels,as well as alternate production and transportation plans.Finally,it should be able to increase efficiency and reduce costs,which can generally be achieved through digital technology and intelligent management.Based on this,this paper takes the supply chain of an agricultural product processing enterprise as an example,considers the reasonable design of site selection and transportation network,and reserves the elastic capacity,and studies the supply chain optimization under the disruption risk.The main contents are as follows:Firstly,on the basis of literature summary,the influencing factors and assessment methods of agricultural product supply chain risk are analyzed.This paper reviews other scholars’ methods of measuring supply chain elasticity and measures to improve supply chain elasticity,and summarizes the nodes that can be optimized to improve supply chain’s ability to resist interruption risk.Then,the process of supply chain of agricultural products is described in detail,and the characteristics of supply chain of agricultural products are found and summarized,such as complex system,poor connection between nodes,prominent logistics bottleneck and difficulty in value added.In addition,by reading a large number of relevant literature,the sources of risk in the supply chain of agricultural products were summarized and classified,and combined with the conventional ways to improve the elasticity of the supply chain of agricultural products,some methods to improve the elasticity of the supply chain were proposed.Secondly,considering the interruption of factory and distribution center alone or simultaneously,the elastic supply chain optimization model with two-node interruption is constructed.By reserving some flexibility in the design phase of the supply chain to cope with the shortage of demand in the event of disruption in the plant and distribution center.At the same time,the supply and demand are balanced by the constraint conditions.Thirdly,the basic logic and operation steps of traditional genetic algorithm and simulated annealing algorithm are introduced,and the advantages and disadvantages of the two algorithms are summarized.Based on genetic algorithm,the idea of random probability of simulated annealing algorithm is added,and perturbation operators and crossover operators are improved.A hybrid genetic simulated annealing algorithm is designed,which can improve the disadvantage of single algorithm falling into local optimal solution.Finally,based on the constructed model and the corresponding algorithm,the supply chain of H agricultural product processing enterprise is simulated,coded by Matlab software,the results of single genetic algorithm and hybrid algorithm are compared,the effectiveness of the model and algorithm is verified,and the penalty cost is 6500 under any interruption condition.When the elasticity coefficient of 0.8～0.9 is satisfied,the supply chain of agricultural products can ensure a lower cost result. |
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