Impact of Collaborative External Truck Scheduling on Yard Efficiency in Container Terminals

2018 ◽  
pp. 105-128 ◽  
Author(s):  
Ahmed Azab ◽  
Ahmed Karam ◽  
Amr Eltawil
Keyword(s):  
Container Terminals ◽  
Truck Scheduling

Truck Scheduling Optimization of Container Terminals Based on Reservation Feedback

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Xiaofei Ye ◽  
Chang Yang ◽  
Wenli Liu ◽  
Jinfen Wang ◽  
Zhao Yang
Keyword(s):  
Container Terminals ◽  
Scheduling Optimization ◽  
Truck Scheduling

A decision support method for internal truck employment

2014 ◽  
Vol 114 (9) ◽  
pp. 1378-1395 ◽  
Author(s):  
Z.X. Wang ◽  
Felix T.S. Chan ◽  
S.H. Chung ◽  
Ben Niu
Keyword(s):  
Cost Effective ◽  
Empirical Method ◽  
Container Terminals ◽  
Storage Allocation ◽  
Content Type ◽  
Truck Scheduling ◽  
Integration Problem ◽  
The Cost

Purpose – The purpose of this paper is to propose a model that determines the strategy of owning and renting trucks in combinations with internal truck scheduling and storage allocation problems in container terminals. Design/methodology/approach – To deal with this complicated problem, a two-level heuristic approach is developed, in which the integration problem is decomposed into two levels. The first level determines the daily operations of the internal trucks, while the second level determines the truck employment strategy based on the calculation in the first level. Findings – The results show that: even if the using cost of owned yard trucks is much lower than the cost of rented yard tucks, terminal companies should not purchase too many trucks when the purchasing price is high. In addition, the empirical truck employment strategies, which are purchasing all the trucks or renting all the trucks, are not cost-effective when compared with the proposed yard truck employment strategy. Originality/value – The paper provides a novel insight for the internal truck employment strategy in container terminals which is the determination of the strategy of employing renting and outsourcing yard trucks to meet operational daily transportation requirements and minimize the long-term cost of employing yard trucks. A mathematical model is proposed to deal with the practical problem. Also, this study presents better solution than empirical method for employing different types of yard truck. Thus, in order to obtain more benefit, terminal companies should employ the proposed yard truck employment strategy.

Tandem Lift Quay Cranes and Yard Trucks Scheduling Problem at Container Terminals

2014 ◽  
Vol 505-506 ◽  
pp. 927-930 ◽  
Author(s):  
Li Hua Chen ◽  
Jin Xin Cao ◽  
Qing Yu Zhao
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Container Terminals ◽  
Mixed Integer ◽  
Scheduling Problem ◽  
Truck Scheduling ◽  
Mip Model ◽  
Quay Cranes ◽  
Local Sequence ◽  
Cut Method

The reasonable dispatching and scheduling of the Tandem Quay Cranes and trucks is the foundation to improve the efficiency of the container terminals. Under the base of single lift quay cranes research, a research on Tandem Lift Quay Cranes and Yard Trucks scheduling is carried on in this paper. A mixed integer programming (MIP) model can be built to solve an integrated tandem lift quay crane and yard truck scheduling problem (i-TLQCYT). A Local Sequence-cut Method is applied to solve the model. Then the shortest time to complete the unloading operations can be got.

Synchronization of yard truck scheduling and storage allocation in container terminals

2009 ◽  
Vol 41 (7) ◽  
pp. 659-672 ◽  
Author(s):  
D.-H. Lee ◽  
J. X. Cao ◽  
Q. X. Shi
Keyword(s):  
Container Terminals ◽  
Storage Allocation ◽  
Truck Scheduling ◽  
And Storage

scholarly journals Minimization of Delay and Travel Time of Yard Trucks in Container Terminals Using an Improved GA with Guidance Search

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Z. X. Wang ◽  
Felix T. S. Chan ◽  
S. H. Chung ◽  
Ben Niu
Keyword(s):  
Travel Time ◽  
Large Scale ◽  
Container Terminal ◽  
Container Terminals ◽  
Computational Time ◽  
Small Scale ◽  
Storage Allocation ◽  
Total Delay ◽  
Truck Scheduling ◽  
Np Hard Problem

Yard truck scheduling and storage allocation problems (YTS-SAP) are two important issues that influence the efficiency of a container terminal. These two problems aim to determine the routing of trucks and proper storage locations for discharging containers from incoming vessels. This paper integrates YTS and SAP as a whole and tries to minimize the weighted summation of total delay and total yard trucks travel time. A genetic algorithm (GA) is proposed to deal with the problem. In the proposed GA, guidance mutation approach and exhaustive heuristic for local searching are used in order to force the GA to converge faster and be steadier. To test the performance of the proposed GA, both small scale and large scale cases are studied. The results of these cases are compared with CPLEX for the small scale cases. Since this problem is an NP-hard problem, which CPLEX cannot solve, a simple GA is studied for comparison in large scale cases. The comparison demonstrates that the proposed GA can obtain near optimal solutions in much shorter computational time for small scale cases. In addition, the proposed GA can obtain better results than other methods in reasonable time for large scale cases.

Research on the Optimization Model of Berth Allocation-Quay Crane Assignment-Truck Scheduling at Container Terminals

2014 ◽  
Vol 587-589 ◽  
pp. 1785-1788
Author(s):  
Zhi Jun Gao ◽  
Chun Ji Wu ◽  
Qing Yu Zhao ◽  
Jin Xin Cao
Keyword(s):  
Optimization Model ◽  
Operation Time ◽  
Container Terminals ◽  
Berth Allocation ◽  
Model Based ◽  
Truck Scheduling ◽  
Quay Cranes ◽  
Quay Crane Assignment

The major difficulties of the operation of loading, unloading and transportation at container terminals are how to schedule berths, quay cranes and trucks more effectively and efficiently. Therefore, how to optimize their configurations effectively and connect them more reasonably is a problem which should be solved eagerly. However, a reasonable and effective optimization model is the basis and the key of this problem. The operation time of container terminals mainly depends on the time of ships in port and the operation time of trucks, quay cranes and yard cranes. So, the objective of this paper is to minimize the sum of these four parts. An optimization model based on some reasonable and necessary hypotheses is proposed and an algorithm and procedure are designed.

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