Browsing Department of Industrial, Manufacturing, and Systems Engineering by Title
Now showing items 138-157 of 167
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Some New Results on Statistical Information and Evidence
(2020-05-21)This dissertation represents an attempt to relate some fundamental statistical problems using the notions of information, entropy, and evidence. -
Sparse Representation and Learning for Discriminative EEG Source Imaging
(2018-05-07)As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic ... -
Stationary And Non-stationary Time Series Prediction Using State Space Model And Pattern-based Approach
(Industrial & Manufacturing Engineering, 2014)The motion-adaptive radiotherapy techniques are promising to deliver ablative radiation doses to tumor with minimal normal tissue exposure by accounting for real-time tumor movement. However, a major challenge of successful ... -
STATISTICAL META-MODEL FOR AIR TRAFFIC FLOW AND CAPACITY MANAGEMENT BASED ON AIRSPACE OPTIMIZATION-SIMULATION: THE CONTINUOUS CHALLENGE OF THE HUB OF THE AMERICA CONGESTION
(2018-08-31)Panama is only Country on the Americas with a Canal and the hub of Logistics that include the interaction of the Atlantic and the Pacific in a less than a day. This Logistics growth after the Panama Canal Expansion resulted ... -
Statistical Modeling Approach To Airline Revenue Management With Overbooking
(Industrial & Manufacturing Engineering, 2007-08-23)A Revenue Management (RM) method in the airline industry plays a very important role in maximizing revenue under various uncertainty issues, like customer demand, the number of seats to be maintained in inventory, the ... -
Statistics-based Approaches To Stochastic Optimal Control Problems
(Industrial & Manufacturing Engineering, 2007-08-23)This dissertation develops practical approaches to stochastic optimal control problems in the absence of linear system transition functions, quadratic cost functions, and/or Gaussian random disturbances. In such type of ... -
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ... -
A Survey Paper of Protecting Critical Infrastructure: Applying High Reliability Theory to Advance Organizational Resilience
(Institute of Industrial and Systems Engineers (IISE), 2017)After the 1979 Three Mile Island nuclear plant meltdown, a claim was made that “accidents happen,” suggesting that such catastrophes were inevitable. That concept was eventually labeled normal accident theory (NAT). Soon ... -
A Sustainability Based Framework To Make A Strategic Outsourcing Decision For Warehouses In The Electronics Industry
(Industrial & Manufacturing Engineering, 2013-07-22)Over the course of last decades, sustainability matured from an abstract concept to an important source of corporate legitimacy. Supply chain management plays an important role in shaping and framing sustainability, due ... -
Sustainable Delivery System in a Temperature Controlled Supply Chain
(Institute of Industrial and Systems Engineers (IISE), 2018)A modern customer expects high quality of food products, and consequently, retailers must present their products in a decent quality to improve their reputation and customer retention in the market. There are many factors ... -
System And Method For The Pooling Of Sterile Product
(Industrial & Manufacturing Engineering, 2007-10-08)This dissertation defines an automated system and method for removing the tops from individual sealed bottles and pooling the small volumes of liquid contained in each bottle together in a collection container while ... -
A Systemic View of Obtaining High Reliability Organization Status
(IISE, 2018)Becoming a High Reliability Organization (HRO) is of interest to many organizations, yet the tools or processes to obtain HRO status are unclear. Historically, organizations are studied in isolation, yet HROs exist due to ... -
A Systems Thinking Approach To Apply Water Sustainability In Hospitals
(Industrial & Manufacturing Engineering, 2014)One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for ... -
TEENAGE CYCLISTS’ PERCEPTION TOWARDS AUTONOMOUS VEHICLES AND ITS ASSOCIATED TRAFFIC INFRASTRUCTURES
(2021-05-03)Background: Cycling is a cost-effective means of transportation. Many teenagers cycle to go to schools and ride in neighborhoods. Cyclists are more vulnerable to injuries and fatalities than motor vehicle drivers. With the ... -
The Art Of Microchannel Molding In Microscope Glass Slides
(Industrial & Manufacturing Engineering, 11-28-12)This research is an effort to develop a new process by combining engineering principles with the history of glass art molding to develop clear micro-level test features in glass, for bio-medical and drug experiments dealing ... -
Time Depedent Queuing Models Of The National Airspace
(Industrial & Manufacturing Engineering, 2011-07-14)Air transportation in the US system has dramatically changed in the past few decades. The National Airspace System (NAS) has increasingly become congested. A high volume of air traffic demand is one of the major challenges ... -
TK-MARS: An Efficient Approach for Deterministic and Stochastic Black-Box Optimization
(2018-08-23)Surrogate optimization approaches for black-box functions focus on approximating the underlying function, using metamodeling techniques, in order to optimize computationally expensive simulation models. Historically, ... -
Topics in Optimization for Sustainable Energy Planning
(2023-08-24)**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Due to the current trend of rising energy demand, finding alternate energy sources is vital. Many cities consider renewable energy as a component of ... -
Towards Sustainable Additive Manufacturing: Assessment of Cost, Greenhouse Gas Emission, and Recyclability
(2023-08-11)Additive Manufacturing technologies fabricate 3D objects layer by layer following a predesigned CAD model. Owing to the unique layer-wise production method, additive manufacturing offers competitive advantages in comparison ... -
Two-stage Stochastic Programming In Adaptive Interdisciplinary Pain Management
Chronic pain is a global health problem. About 100 million adult Americans suffering from chronic pain, which costs $560 - $635 billion per year. The Eugene McDermott Center for Pain Management at the University of Texas ...