Research On Logistics Economic Benefit Based On Interval Variables

Affected by Internet technology revolution and the development of e-commerce,logistics transportation economy have became the artery of national economy.at the same time,the competition among the market is also getting fierce,it also puts forward higher requirements on logistics.Therefore,in this paper,the problem of logistics distribution based on interval variable will be researched and discussed.we will do some effective exploration on logistics distribution model and the algorithm on the basis of previous research.In this paper,the research background and research significance are introduced firstly.We analyzed the research present situation from the previous studies and found the insufficient of these researches.Some innovations of this paper are put forward.Based on the above ideas,this paper completed the following work:First of all.the interval possibility degree method is used to establish a vehicle path planning model concerning interval demand,the difference is that we think the demand of each customer is an interval number.considering the error between the actual demand and interval demand,a transportation model of delivery is also established,but this operation will generate additional distance.In view of the logistics distribution model of interval variables,artificial immune algorithm is used to solve the the problem.Using standard test data of the logistics distribution to make simulation,we got the result:our decision makers in the face of every customer will have a comparison between vehicle load and the needs of customers,for the comparison,our risk appetite should be set at around 0.6,only in this way,can we get optimal results,namely at that time we can make the lowest cost of transportation and get biggest economic benefits.Then,we set up a time window based on the satisfaction function to solve the pickups and deliveries problem.The main characteristic of this model is a relaxed time window,let the degree of satisfaction is no longer a Boolean variable.For this model,we use the improved differential evolution algorithm to solve and adjusted the crossover probability of differential evolution algorithm,the objective function to make the algorithm more close to our requirements.Through analyzing for the economic benefits of the model,we concluded that the time window width directly related to customer satisfaction.That is because that wider time window means that customers more easily satisfied,.In addition,the delivery person should use as far as possible big load transportation tools to provide distribution efficiency,which can contribute to reduce transport costs and improve the economic benefit.Finally,we studied the actual application of the model,for example,logistics car carrier navigation,take-away 020 distribution,public bicycle scheduling management,which shows our research model of practicability and economy.