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Dynamic Management of Inspection Effort Allocation in an International Port of Entry (POE)


Abstract Every year, more than 11 million maritime containers and 11 million commercial trucks arrive to the United States, carrying all types of imported goods. As it would be costly to inspect every container, only a fraction of them are inspected before being allowed to proceed into the United States. This dissertation proposes a decision support system that aims to allocate the scarce inspection resources at a land POE (L-POE), to minimize the different costs associated with the inspection process, including those associated with delaying the entry of legitimate imports. Given the ubiquity of sensors in all aspects of the supply chain, it is necessary to have automated decision systems that incorporate the information provided by these sensors a... (more)
Created Date 2012
Contributor Xue, Liangjie (Author) / Villalobos, Jesus René (Advisor) / Gel, Esma (Committee member) / Runger, George (Committee member) / Maltz, Arnold (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering / Operations research / Container Inspection / Decision support systems / Optimization / Queuing / Truck Inspection
Type Doctoral Dissertation
Extent 150 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Industrial Engineering 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description code developed in this dissertation