Reservation Model for Trucks with Missed Appointment Rate based on Credit Constraints

To optimize the missed appointment in the traditional reservation system of trucks, a two-stage truck reservation optimization model with credit constraints was established, with the goal of minimizing the average waiting time of a single truck in the decision-making period. The genetic algorithm was designed to solve the problem. By comparing the traditional reservation model with the optimized reservation model, the validity of the model was verified. The results showed that the truck reservation system with credit constrains could better control the arrival time of the trucks. The average waiting time at the gate reduced by 23.94-26.95% and the average waiting time at yard reduced by 11.17%-29.22% compared with traditional mode. The model reduces the rate of missed arrvial of trucks and improves the efficiency of port operation.

關鍵字

Truck Appointment ； Priority Service ； Genetic Algorithm ； Overbooking ； Missed Appointment Rate

參考文獻

Lindley D.V. The theory of queues with a single sever [J]. Proceeding Cambridge Philosophy Society, 1952, 48(38),p.277-289.

Laganga L. awrence S. Appointment Overbooking in Healthcare Clinics to Improve Patient Service Clinic Performance [J]. ProductionandOperationsMangagement, 2012, 21(5),p.874-888.

Raynes A,Warren G. Some distinguishing features of patients failing to attend a psychiatric clinic after referral [J]. American Journal of Orthopsychiatry, 1971,41(4),p.581-588.

Feldman J, Liu N, Topaloglu H, et al. Appointment scheduling under patient perference and no-show behavior [J]. Operation Research, 2014,62(4), p.794-811.

Genevieve Giuliano, Thomas O’Brien. Reducing port-related truck emissions: The terminal gate appointment system at the Ports of Los Angeles and Long Bench [J]. Transportation Research Part D,2007, 53(7), p.157-168.

國際替代計量

Reservation Model for Trucks with Missed Appointment Rate based on Credit Constraints

全文下載

主題瀏覽