Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2018
Abstract
Effective traffic management can help port operators gain a competitive edge in service level and efficient use of limited resources. One critical aspect of traffic management is gate operations management, ensuring a good customer experience to logistic carriers and considering the impact of congestion in and around the port. In this paper, we describe the design and implementation of a decision support tool to help gate operators plan for future scenarios with fluctuating demand and limited resources. We propose a simulation optimization framework which incorporates theoretical results from queuing theory to approximate complex multi-lane multi-server systems. Our major contribution in this paper is the demonstration that the proposed design, when coupled with real data, can indeed help port operators improve their performances. To provide concrete real-world evidence that such technology has benefits, we have tested the system operationally since December 2017 and present the results and analysis in this paper.
Keywords
Competitive edges, Customer experience, Decision support tools, Decision supports, Design and implementations, Queuing theory, Simulation optimization, Traffic management
Discipline
Operations Research, Systems Engineering and Industrial Engineering | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
WSC '18: Proceedings of the Winter Simulation Conference, Gothenburg, Sweden, December 9-12
First Page
2909
Last Page
2920
ISBN
9781538665725
Identifier
10.1109/WSC.2018.8632493
Publisher
ACM
City or Country
New York
Citation
KULKARNI, Ketki; LAU, Hoong Chuin; WANG, Hai; SIVABALASINGAM, Sathyavarathan; and TRAN, Trong Khiem.
Design and implementation of decision support for traffic management at multipurpose port gates. (2018). WSC '18: Proceedings of the Winter Simulation Conference, Gothenburg, Sweden, December 9-12. 2909-2920.
Available at: https://ink.library.smu.edu.sg/sis_research/4321
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.2018.8632493
Included in
Operations Research, Systems Engineering and Industrial Engineering Commons, Transportation Commons