Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/34045
Title: A collaborative agreement for berth allocation under excessive demand
Authors: Dulebenets, Maxim A. 
Golias, Mihalis 
Mishra, Sabyasachee 
Major Field of Science: Engineering and Technology
Keywords: Maritime container terminals;Collaborative agreement;Shared capacity;Service time windows;Memetic algorithm;Cost savings
Issue Date: 1-Mar-2018
Source: Engineering Applications of Artificial Intelligence, vol.69, p.76-92, 2018
Volume: 69
Start page: 76
End page: 92
Journal: Engineering Applications of Artificial Intelligence 
Abstract: International seaborne trade has increased significantly during the last three decades, and this growth is expected to continue at similar rates. To address the growing demand, terminal operators aim to improve productivity with the minimum capital investment. This study extends an existing berth allocation policy, where demand can be diverted from a multi-user maritime container terminal to an external maritime container terminal at an additional cost. Furthermore, additional market based rules are introduced in the model for the vessel diversion decision making. The objective of the multi-user maritime terminal operator is to minimize the total vessel service cost. Due to complexity of the proposed mathematical formulation, a Memetic Algorithm is developed to solve the resulting problem. A number of numerical experiments are presented to evaluate efficiency of the new berth allocation policy and the solution algorithm. Results indicate that the suggested berth allocation policy yields substantial cost savings during high demand periods.
URI: https://hdl.handle.net/20.500.14279/34045
ISSN: 09521976
DOI: 10.1016/j.engappai.2017.11.009
Type: Article
Affiliation : Florida State University 
University of Memphis 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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