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Optimality, uncertainty, and performance of passenger screening in aviation security systems /Lee, Adrian Jenkyn, January 2009 (has links)
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. / Source: Dissertation Abstracts International, Volume: 70-06, Section: B, page: 3718. Adviser: Srinivasa M. Salapaka. Includes bibliographical references (leaves 144-148) Available on microfilm from Pro Quest Information and Learning.
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Strategic inventory management for supply chains subject to supply uncertainty.Schmitt, Amanda J. January 2008 (has links)
Thesis (Ph.D.)--Lehigh University, 2008. / Adviser: Lawrence V. Snyder.
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Studying the impact of supply uncertainty on multi-echelon supply chains.Rong, Ying. January 2008 (has links)
Thesis (Ph.D.)--Lehigh University, 2008. / Adviser: Lawrence V. Snyder.
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Stochastic sequential resource allocation and passenger assignment in aviation security systems /Nikolaev, Alexander, January 2008 (has links)
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. / Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 7123. Adviser: Carolyn Beck. Includes bibliographical references (leaves 82-87) Available on microfilm from Pro Quest Information and Learning.
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Strengthening the sustainability of the pediatric vaccine supply by using operations research methods /Proano M., Ruben A., January 2008 (has links)
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. / Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 7070. Adviser: Sheldon Jacobson. Includes bibliographical references (leaves 107-114) Available on microfilm from Pro Quest Information and Learning.
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Designing aviation security systems : theory and practice /McLay, Laura A, January 2006 (has links)
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006. / Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 4034. Adviser: Sheldon H. Jacobson. Includes bibliographical references (leaves 123-128) Available on microfilm from Pro Quest Information and Learning.
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Two combinatorial optimization problems at the interface of computer science and operations research /Kao, Gio K., January 2008 (has links)
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. / Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6920. Adviser: Sheldon Jacobson. Includes bibliographical references (leaves 120-128) Available on microfilm from Pro Quest Information and Learning.
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Training trust in automation within a NextGen environmentHigham, Tiana-Lynn M. 20 November 2013 (has links)
<p> The projected increase in air traffic density has led to the development of NextGen that is expected to revolutionize the way the NAS is currently functioning. For NextGen to be implemented successfully, it is important to understand the humanautomation relationship within a complex system. Controllers will have to rely on automated tools to successfully manage aircraft in their sector. Increasing human trust in automation can lead to an increase in automation acceptance and its proper use. However, we are not aware of any research studies that have attempted to directly train individuals to trust automation. We report on an attempt to train 8 novice air traffic controllers to trust the automated NextGen tools in a radar internship course. Although the results were not statistically significant, the trend in the data suggests that it may be possible to train trust in automation.</p>
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Human errors in industrial operations and maintenanceAbu Hawwach, Mohammed January 2021 (has links)
Within maintenance activities and industrial operations, human is subjected to different kind of stresses and situation that could result in mistakes and accidents. The human errors in maintenance and manufacturing are an unexplored latter such that a little focusis invested in this area. The report aims to widen up the understanding of the human error in maintenance and manufacturing area. Aviation and marine operations are the most sectors that are subjected to human errors according tothe literature. There aredifferent types of human error that have effect on quality and overall effectivity. Human reliability models are one method to quantify human errors and usually used for the identification of human errors and HEP calculation. The most common reliability measurement methods are HEART, THERP and SLIM which are used depending on application and industry. As a part of efforts to define differences between those reliability models, literature including different industries is used and itis found that expert judgement influences the success and accuracy of such methods. There are many causes for human errors depending on the application but, communication and procedures followed are the most contributing factors. There is always a probability of existence of human errors as the mistake done by workers are inevitable. Industry 4.0 can help in decreasing human errors through the introduction of operator 4.0 as well as other approaches like training and upgrading organizational standards.
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