Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2017
Abstract
Port capacity is determined by three major infrastructural resources namely, berths, yards and gates. Theadvertised capacity is constrained by the least of the capacities of the three resources. While a lot ofattention has been paid to optimizing berth and yard capacities, not much attention has been given toanalyzing the gate capacity. The gates are a key node between the land-side and sea-side operations in anocean-to-cities value chain. The gate system under consideration, located at an important port in an Asiancity, is a multi-class parallel queuing system with non-homogeneous Poisson arrivals. It is hard to obtaina closed form analytic approach for such a system. In this paper, we describe an application of simulationtechniques in analyzing the performance of gate operations. Further, we develop an optimization modelthat is integrated with simulation techniques to suggest efficient lane management policies for an outboundgate system.
Keywords
Logic gates, Servers, Containers, Ports (Computers), Analytical models, Urban areas, Optimization
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
2017 Winter Simulation Conference: Las Vegas, NV, December 3-6: Proceedings
First Page
3090
Last Page
3101
ISBN
9781538634271
Identifier
10.1109/WSC.2017.8248029
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
KULKARNI, Ketki; TRAN, Trong Khiem; Hai WANG; and LAU, Hoong Chuin.
Efficient gate system operations for a multipurpose port using simulation optimization. (2017). 2017 Winter Simulation Conference: Las Vegas, NV, December 3-6: Proceedings. 3090-3101.
Available at: https://ink.library.smu.edu.sg/sis_research/3911
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/WSC.2017.8248029
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons