Research on bulk-cargo-port berth assignment based on priority of resource allocation
Abstract: The purpose of this
paper is to propose a Priority of Resource Allocation model about how to
utilize the resources of the port efficiently, through the improvement of
traditional ant colony algorithm, the ship-berth matching relation constraint
matrix formed by ontology reasoning.
Design/methodology/approach: Through questionnaires?Explore factor
analysis (EFA) and principal component analysis, the authors extract the
importance of the goods, the importance of customers, and type of trade as the
main factors of the ship operating priority. Then the authors combine berth
assignment problem with the improved ant colony algorithm, and use the model to
improve ship scheduling quality. Finally, the authors verify the model with
physical data in a bulk-cargo-port in China.
Findings: Test by the real data of bulk cargo port, it show that ships’
resource using priority and the length of waiting time are consistent; it
indicates that the priority of resource allocation play a prominent role in
improving ship scheduling quality.
Research limitations: The questionnaires is limited in only one port
group, more related Influence factors
should be considered to extend the conclusion.
Practical implications: The Priority of Resource Allocation model in this
paper can be used to improve the efficiency of the dynamic berth assignment.
Originality: This paper makes the time of ship in port minimized as the
optimization of key indicators and establishes a dynamic berth assignment model
based on improved ant colony algorithm and the ontology reasoning model.
Keywords: ship-scheduling
system, priority of resource allocation, ontology reasoning, dynamic berth assignment
Author: Chunfang Guo,
Zhongliang Guan, Yan Song
Journal Code: jptindustrigg130063
