Fresh Produce Distribution Path Optimiztion Considering Fuzzy Time Window

In recent years,along with the growing pursuit of high quality of life and the acceleration of the pace of life,more and more people choose to buy fresh produce online.The growing demand is both an opportunity and a challenge for fresh produce e-commerce.In particular,after the outbreak of the new crown epidemic in early 2020,traditional commercial channels were unable to complete the market supply,and e-commerce became an important means to assist residents with food supply during home quarantine.Thanks to the rapid development of fresh e-commerce cold chain logistics in recent years,residents’ demand for fresh agricultural products was ensured during the epidemic.It should be noted that the rapid development of fresh produce e-commerce has been accompanied by many problems.They are mainly manifested in the following aspects: high transportation cost of goods,failure to deliver on time,difficulties in real-time supervision of goods,and distortion of information.At the same time,limited by the lack of cold chain logistics infrastructure equipment,large capital investment and high technical difficulty,it will have a direct impact on customer satisfaction,which will then have an impact on the economic benefits of enterprises.Therefore,for the distribution of fresh agricultural products,considering the time window factor and planning a good distribution route can not only ensure the quality of agricultural products,but also effectively reduce the distribution cost and improve customer satisfaction.At the same time,it can improve the utilization rate of vehicles,realize the reasonable allocation of resources,and bring more economic benefits to the enterprise.In the previous studies on cold chain distribution problems,there are not many studies considering time windows,and even fewer studies on fuzzy time windows,mainly for the two cases of hard time windows and soft time windows,mostly without carving out the overall satisfaction level of customers for the service time.And considering the real situation,the fuzzy time window is the most reasonable without clear upper and lower limits on time requirements.Therefore,in this paper,on the basis of considering the fuzzy time window,the cold chain logistics distribution path of fresh agricultural products is optimized,and a dual-objective model with minimum logistics distribution cost and maximum customer satisfaction is constructed.For the processing of the fuzzy time window,firstly,the fuzzy affiliation function is used to fuzzify the time window expected by the customer and the maximum tolerance time window,and then the fuzzy time window after the processing is completed is transformed into the overall satisfaction level of the customer for the service time.The overall customer satisfaction level is obtained from the weighted average of individual customer’s satisfaction level by the proportion of customer’s purchased goods to the overall distribution plan.For the processing of multi-objective function,the model is first solved under different satisfaction levels,and the optimal satisfaction level is selected by comparison,and then set as a fixed value as the constraint of the cost minimization function,thus converting the multi-objective function solution into a single-objective function solution through a two-stage solution idea.Then,the two-stage algorithm is designed for the model characteristics,and the customer points are first clustered using the k-means algorithm,and then the genetic algorithm is appropriately improved,and the solomon data set is selected to program the algorithm to solve the objective function through matlab software.Then compared with the use of traditional genetic algorithm to solve the objective function,it is concluded that the processing results of the optimization algorithm is more effective,and finally the feasibility and rationality of the optimization model and algorithm design are verified through cases.