TY - GEN
T1 - Impact of Collaborative External Truck Scheduling on Yard Efficiency in Container Terminals
AU - Azab, Ahmed
AU - Mostafa, Ahmed Karam Abdelfattah
AU - Eltawil, Amr
PY - 2018
Y1 - 2018
N2 - In Container Terminals, managing the external truck arrivals is one of the essential managerial activities that, typically, the terminal operators conduct continuously on the short term using a Truck Appointment System (TAS). However, the trucking companies are influenced by the developed appointments and schedules which affect their operations and resources. This paper introduces a collaborative TAS to enable the trucking companies and container terminals to share making the decisions on scheduling the external truck appointments. This paper proposes a Dynamic Collaborative Truck Appointment System (DCTAS) which adopts a simulation optimization approach which integrates a discrete event simulation model with a mixed integer programming model. The DCTAS considers some realistic parameters that enhance the development of reliable appointments that fit the dynamic and stochastic circumstances of container terminals environment. The performance of the developed DCTAS is investigated by solving a numerical instance. The results show that both the container terminals and trucking companies can gain benefits from using the DCTAS. Yard efficiency performance indicators such as the maximum queue lengths, average waiting times, maximum waiting times and average truck turn times are improved using the developed appointment system.
AB - In Container Terminals, managing the external truck arrivals is one of the essential managerial activities that, typically, the terminal operators conduct continuously on the short term using a Truck Appointment System (TAS). However, the trucking companies are influenced by the developed appointments and schedules which affect their operations and resources. This paper introduces a collaborative TAS to enable the trucking companies and container terminals to share making the decisions on scheduling the external truck appointments. This paper proposes a Dynamic Collaborative Truck Appointment System (DCTAS) which adopts a simulation optimization approach which integrates a discrete event simulation model with a mixed integer programming model. The DCTAS considers some realistic parameters that enhance the development of reliable appointments that fit the dynamic and stochastic circumstances of container terminals environment. The performance of the developed DCTAS is investigated by solving a numerical instance. The results show that both the container terminals and trucking companies can gain benefits from using the DCTAS. Yard efficiency performance indicators such as the maximum queue lengths, average waiting times, maximum waiting times and average truck turn times are improved using the developed appointment system.
M3 - Article in proceeding
SN - 978-3-319-94766-2
T3 - Communications in Computer and Information Science
SP - 105
EP - 128
BT - Operations Research and Enterprise Systems
PB - Springer
T2 - 6th International Conference on Operations Research and Enterprise Systems
Y2 - 23 February 2017 through 25 February 2017
ER -