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Disruption Management Based On Customer Segmentation In Logistic Distribution

Posted on:2018-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:L F ZhaoFull Text:PDF
GTID:2359330515489379Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Distribution is an important part of logistics,and it is also a special and comprehensive logistics activity,which plays an important role in the economic and social development.Vehicle routing is the core content of the whole logistics distribution system,so the optimization of logistics distribution system can be seen as the optimization of vehicle routing.Different customers can bring different economic benefits for the enterprise,in order to greater economic benefits of enterprises,logistics enterprises need to judge,classify and manage customers.Allocate the limited resources in the enterprise to customers,so as to create higher economic benefits with limited resources.Firstly,this paper analyzes the current situation of domestic and foreign research on the disruption management of logistics and the main problems existing at the present stage,and expounds the relevant basic theories of vehicle scheduling,logistics distribution and interference management;Secondly,this paper analyzes the disturbance in the process of logistics distribution,and combines the customer relationship management and the logistics distribution disruption management.Based on the cloud model classification of customer premise,from three aspects of customer,logistics operators and logistics staff to measure disturbance on the distribution system interference events,constructing lexicographic multi-objective interference management model;Thirdly,the immune selection is introduced into the seed swarm optimization algorithm;Finally,with the example of Handan tobacco companies logistics distribution,the improved seed optimization algorithm is used to solve the interference management model,and the results are compared with the seed optimization algorithm to verify the effectiveness and feasibility of the model and algorithm.In view of the problems existing in the logistics distribution process of Handan tobacco companies,some suggestions and countermeasures are put forward.
Keywords/Search Tags:vehicle scheduling, customer segmentation, cloud model, disruption management, seed optimization algorithm
PDF Full Text Request
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