Model Research Of Disruption Management For Logistics Distribution Delay Based On CLV

As the important part of the entire logistics system,logistics distribution contacts with customers directly.Distribution efficiency not only affects thedistribution costs,but also to a large extent affects repeat purchases of customers and images of enterprises in the industry.Therefore,before the implementation of logistics distribution,logistics operators will develop an initial distribution plan to ensure the delivery is timely and efficient..However,there are a lot of unavoidable uncertain events in the process of logistics distribution,such as road congestion,weather changes,traffic accidents and vehicle failures.The delay caused by these disturbances may cause the initial distribution plan made by corporates to be interrupted and can not be implemented smoothly.After the impact of disruption,how to measure the disruption and how to adjust quickly to generate a scheme that is of the smallest disruption to the system is the key problem to be solved urgently.Besides,it is also the core of the disruption management research.To construct the delay disruption management model of logistics distribution,the paper selects customers and the corporate in the logistics system as the two main bodies that measure the disruption of logistics distribution delay,select the customer lifetime value and cost are used as the object of disturbance measurement.The thesis is divided into following three parts:(1)A new method of disruption measurement based on customer lifetime value.By sorting out the related research at home and abroad,we can find that papers about disruption management for logistics distribution in the customers' disruption measures consider little of the customers' value differences and future purchase losses.Based on this,the paper determines the customers and logistics operators as the two subjects for the disruption of logistics distribution delay,the paper cite the concept of customer lifetime value to the disruption management for logistics distribution delay issues,the prediction of each customer's future value based on customers' historical transaction data can accurately reflect the value of each customer differences and their contribution to the enterprise,so this is another disruption measurement way in the view of customers.(2)A new model of disruption management for logistics distribution delay is proposed.In order to solve the problem of delay in the logistics distribution caused by weather events,road congestion and vehicle failure during the logistics distribution process,based on the real state of the interference event,this paper sets the maximum of customer lifetime as the first target,the lowest cost of distribution as the second objectives and then build the disruption management model,and then adjust original plan locally taking customer lifetime value and distribution costs into account.(3)A optimization method to solve disruption management model for logistics distribution delay based on customer lifetime value.Firstly,the quantitative methods of customer lifetime value as well as the steps and processes of the ant colony algorithm for solving the model are given.In addition,the data processing and model optimization are implemented by Matlab2014a and Excel Solver.Finally,the validity and superiority of this model is verified through application research.In this thesis,the combination of customer lifetime value theory and disruption management for logistics distribution is a cross-infiltration of marketing and logistics,which not only extends the application of customer lifetime value theory,but also enriches the theory and method of disruption management for logistics distribution.The disruption management method proposed in this paper can help the corporates respond to the changes quickly after the delay disturbance,and develop the disruption management plan in real time.The disruption management scheme gives priority to customers with greater lifetime value.It is not only conducive to the development of important customers' loyalty and customer relationship maintenance,but also is conducive to the improvement of enterprises'competitiveness.