Title: Integrating X-ray technologies with intelligent transportation systems for enhancing the international maritime security

Authors: Hokey Min; Yong-Kon Lim; Jong-Won Park

Addresses: James R. Good Chair in Global Supply Chain Strategy, Department of Management, BAA 3008C, College of Business Administration, Bowling Green State University, Bowling Green, Ohio 43403, USA ' The Korea Institute of Ocean Science and Technology (KIOST), Building B-213, Yousung Road 1312-32, Daejeon, Choongnam, Korea ' The Korea Institute of Ocean Science and Technology (KIOST), Building B-213, Yousung Road 1312-32, Daejeon, Choongnam, Korea

Abstract: Over the past decade, the use of X-ray scanning technology for cargo inspection has been on the rise due to its effectiveness in providing clear and unobtrusive views of the contents of items hidden inside containers. Also, it is able to add intelligence and to minimise human intervention in the cargo inspection process without opening up suspected containers. Although X-ray scanning technology is proven to be useful for automatic detection of potential dangers or illicit contents (e.g., narcotics) inside containers, its usefulness may be constrained unless it can be embedded within the system-wide decision support tool. Such a tool includes an intelligent transportation system (ITS) which is designed to improve transportation safety and mobility through the seamless integration of information and communication technology, transportation infrastructure, and shipping vessels. This paper is one of the first to combine X-ray scanning technology with ITS for cargo inspection procedures and gauges its usefulness for enhancing maritime security in global supply chain operations.

Keywords: intelligent transport systems; ITS; maritime security; global supply chains; X-ray technology; X-ray scanning; cargo inspection; supply chain management; SCM; transport safety; mobility; information and communications technology; ICT; information technology; transport infrastructure; shipping vessels; decision support sytems; DSS.

DOI: 10.1504/IJLSM.2015.070888

International Journal of Logistics Systems and Management, 2015 Vol.22 No.1, pp.1 - 14

Received: 22 Mar 2014
Accepted: 15 May 2014
Published online: 31 Jul 2015 *

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