Modeling And Optimization Of Container Drayage Transportation Problem Considering Driver Differences

In recent years,with the development of international trade,more and more national companies are looking to reduce the huge costs spent on transport.Container transport is the main mode of long-distance transport.More and more people get attention to reduce container transportation costs.Researching on container transport has become increasingly deeper both in China and the other country.Container transport is an advanced and modern transport,the container as a transportation tool,concentrated the scattered cargo into container,using large-scale equipment loading and unloading container and using container trucks transport container,better achieved "door to door" transportation.This study is the container transport.It is an important part of the transport process,also an indispensable part.In general,long-distance mode of transport,including transport ships and rail transport,have an important drawback,namely geographical constraints.The port and the station are generally not in the same place.This requires a mode of transport to achieve convergence,this is container drayage transportation.Container trucking is fast and flexible,but also because of the road network extending in all directions,thus Container Transport is mainly done by trucks,while truck transportation task can be completed alone.Since the process of trucking containers,will appear the preference for the path of the driver,familiarity with driving the vehicle,the impact of weather,and other factors.They can cause different transport time between the adjacent members.In this thesis,the main work includes three parts:(1)Checking out literature,write a literature review about container drayage transportation problem,driver behavior patterns impact on trucking and general algorithm container drayage transportation problem.(2)Considering driver differences in container drayage transportation problems were studied.By the method of DAOV,we build asymmetric directed graph,then establish a mixed integer linear programming model.Solving by cplex,the solving speed meets the requirements of engineering practice,The effects of the width of time windows,the ratio of inbound containers and the ratio of empty containers are analyzed.(3)Considering driver differences in container drayage transportation problems were studied.Under the premise of minimum transport costs,businesses require to achieve maximum customer satisfaction in daily time.The thesis established a double objective mixed integer nonlinear model,the shortest total time of transport and the largest customer satisfaction.Double objectives change into a single objective by weighted method.After linearization the satisfaction function,model can solve by software of cplex,and the solving speed meets the requirements of engineering practice,recording the pilot utilization and driver time rate.The effects of the width of time windows,the ratio of inbound containers and the ratio of empty containers are analyzed.The driver and the driver’s record time utilization rate.Transport time was compared of two models solved.The effects of the ratio of inbound containers and the ratio of empty containers are analyzed.