Study On The Truck Appointment Quotas Optimization Considering Time Window Change

With the quickly development of international trade and the increasing tonnage of container ships,the efficiency and service capacity of container terminals need to be improved urgently.However,the randomness of the arrival of truck,poor communication between the terminal and the truck companies,information asymmetry and other problems lead to serious congestion and poor operation of the terminal,which hinders the improvement of the efficiency of the terminal and is harmful to the realization of the goal of green port.At the same time,the queuing and congestion phenomenon of truck prolonged the time of trucks at the port,disrupted the operation plan of truck companies,reduced its operation efficiency,impeded the punctuality of transportation service,deteriorated the customer satisfaction index,and seriously questioned the reputation of truck companies.In order to alleviate the congestion problem of trucks,the truck appointment mechanism arises at the historic moment.By setting the upper limit of time window,the arrival rule of trucks is forced to be changed to avoid the centralized arrival of collection cards.Through the review of the existing research literature,it is found that most of the current reservation mechanism of the truck is the establishment of the truck arrival quota at the port in one direction.When setting the quota,only the capacity of the storage yard resources and equipment is considered,and the influence of the reservation mechanism on the deployment scheme of the truck fleets is ignored,which changes truck booking expected time window and increases the extra operating cost of the truck companies.In view of the shortcomings of the existing reservation mechanism,this paper proposes a reservation feedback mechanism based on the original allocation plan of the truck,which breaks the upper limit of the short time window,and changes it to the terminal side to set the total amount of daily reservation quota combined with the terminal resources and facilities,and the truck company can reserve the expected time window according to the original allocation plan.According to the reservation expectation information collection,an optimization model of the reservation quota for trucks was built with the objective of minimizing the queuing time of the trucks at the port and the additional cost of the card companies caused by the time window change.The genetic and ant colony fusion algorithm was designed to solve the model,and the appointment share and relevant information of the trucks in each time window were obtained.The interests of both the dock side and the card operator should be taken into account when setting the truck appointment time window share,which is conducive to the promotion and implementation of the truck reservation system.Finally,the actual data of Tianjin Port is selected as an example to verify the effectiveness of the model and algorithm.In this paper,by setting different scale examples and applying Matlab software,the average of 10 running records of the examples were carried out,and the results of solution were compared with the basic ant colony algorithm,which verifies the effectiveness of the improved algorithm.Then the results obtained by the reservation mechanism in this paper are compared with those obtained by the reservation mechanism only considering the port waiting time.The results show that the reservation mechanism in this paper can reduce the number of trucks and time window change costs,reduce the impact of trucks reservation system on the trucks’ scheduling,and make the truck appointment scheme achieve a win-win situation.