Design and implementation of decision support for traffic management at multipurpose port gates

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 conges...

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Main Authors: KULKARNI, Ketki, LAU, Hoong Chuin, WANG, Hai, SIVABALASINGAM, Sathyavarathan, TRAN, Trong Khiem
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4321
https://ink.library.smu.edu.sg/context/sis_research/article/5324/viewcontent/WSC_2018___DecisionSupportPortGates.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-53242020-03-27T01:33:41Z Design and implementation of decision support for traffic management at multipurpose port gates KULKARNI, Ketki LAU, Hoong Chuin WANG, Hai SIVABALASINGAM, Sathyavarathan TRAN, Trong Khiem 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. 2018-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4321 info:doi/10.1109/WSC.2018.8632493 https://ink.library.smu.edu.sg/context/sis_research/article/5324/viewcontent/WSC_2018___DecisionSupportPortGates.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Competitive edges Customer experience Decision support tools Decision supports Design and implementations Queuing theory Simulation optimization Traffic management Operations Research, Systems Engineering and Industrial Engineering Transportation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Competitive edges
Customer experience
Decision support tools
Decision supports
Design and implementations
Queuing theory
Simulation optimization
Traffic management
Operations Research, Systems Engineering and Industrial Engineering
Transportation
spellingShingle Competitive edges
Customer experience
Decision support tools
Decision supports
Design and implementations
Queuing theory
Simulation optimization
Traffic management
Operations Research, Systems Engineering and Industrial Engineering
Transportation
KULKARNI, Ketki
LAU, Hoong Chuin
WANG, Hai
SIVABALASINGAM, Sathyavarathan
TRAN, Trong Khiem
Design and implementation of decision support for traffic management at multipurpose port gates
description 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.
format text
author KULKARNI, Ketki
LAU, Hoong Chuin
WANG, Hai
SIVABALASINGAM, Sathyavarathan
TRAN, Trong Khiem
author_facet KULKARNI, Ketki
LAU, Hoong Chuin
WANG, Hai
SIVABALASINGAM, Sathyavarathan
TRAN, Trong Khiem
author_sort KULKARNI, Ketki
title Design and implementation of decision support for traffic management at multipurpose port gates
title_short Design and implementation of decision support for traffic management at multipurpose port gates
title_full Design and implementation of decision support for traffic management at multipurpose port gates
title_fullStr Design and implementation of decision support for traffic management at multipurpose port gates
title_full_unstemmed Design and implementation of decision support for traffic management at multipurpose port gates
title_sort design and implementation of decision support for traffic management at multipurpose port gates
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/4321
https://ink.library.smu.edu.sg/context/sis_research/article/5324/viewcontent/WSC_2018___DecisionSupportPortGates.pdf
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