Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29820
Title: Design and development of an intelligent context-aware decision support system for real-time monitoring of container terminal operations
Authors: Ngai, EWT 
Li, CL 
Cheng, TCE 
Lun, YHV 
Lai, KH 
Cao, J 
Lee, MCM
Keywords: Container terminal
Operations monitoring
RFID technology
Ubiquitous sensor network
ZigBee
Issue Date: 2011
Source: International journal of production research, 2011, v. 49, no. 12, p. 3501-3526 How to cite?
Journal: International Journal of Production Research 
Abstract: This paper describes a case study of the research and development of an intelligent context-aware decision support system (ICADSS) prototype for real-time monitoring of container terminal operations in Hong Kong. We present the system design and development of the prototype system, and discuss the experiences and lessons learned. To the best of our knowledge, this study is the first identifiable application of an intelligent context-aware decision support system for the real-time monitoring of container terminal operations reported in the academic literature. The intelligent context-aware decision support system employs ZigBee-based ubiquitous sensor network (USN) technology. In this study, an ICADSS prototype was built and implemented in a real world setting. The results of the system prototype evaluation are satisfactory and support the contention that it is more effective in supporting the real-time tracking and tracing of container trucks, quay cranes, and rubber-tired gantry cranes in a container terminal. The results also validate the practical viability of the proposed system architecture. Given the contextual details of the study, we present the lessons learned from developing and operating the system in a container terminal and provide suggestions for further research. We hope that the proposed system architecture and developed prototype system can help both practitioners and academics in the further use and research of intelligent context-aware decision support systems.
URI: http://hdl.handle.net/10397/29820
ISSN: 0020-7543
DOI: 10.1080/00207541003801291
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

15
Last Week
0
Last month
0
Citations as of May 15, 2017

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
1
Citations as of May 21, 2017

Page view(s)

75
Last Week
1
Last month
Checked on May 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.