Browsing Industrial engineering by Title
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Approximate dynamic programming for weakly coupled Markov decision processes with perfect and imperfect information
A broad range of optimization problems in applications such as healthcare operations, revenue management, telecommunications, high-performance computing, logistics and transportation, business analytics, and defense, have ... -
Approximating Large-Scale Binary Integer Programs by Discrete Optimal Control
Optimal control theory has been introduced as a powerful tool for approximately solving binary integer programming problems. In previous studies, an approach using continuous optimal control theory was developed, where the ... -
Assessing Cognitive Workload of In-Vehicle Voice Control Systems
In-Vehicle Information Systems (IVIS) are becoming more accessible to drivers and contain more complex communication features. Voice control systems (VCS's) promise to be less distracting than visual-manual interfaces, but ... -
Asynchronous stochastic learning curve effects in a large scale production system
(2008)Large scale production systems contain dynamically unequal distributing lead times and improvement rates. This has made it very problematic to statistically predict the ability of global partners to meet common deadlines ... -
Characterising Cryptocurrency Project Networks Using Graph-Based Analysis
With the introduction of smart contracts by the Ethereum blockchain in 2015, cryptocurrencies can now function as decentralized applications (dApps). Over the years, the proliferation of dApps has grown exponential and in ... -
Complex Adaptive Food Supply Systems
(2014-02-24)The long-term sustainability of food supply chains (FSCs) is critical to human and environmental health. While the modern industrial FSC is capable of the production and global distribution of enormous quantities of food, ... -
Contemporaneous Health Monitoring and Biomarker Discovery by Integration of Patient Data and Disease Knowledge
Technological innovations have given rise to data-rich environments that support the use of heterogeneous sensor measurements to monitor complex healthcare systems. Despite these advancements, however, there remains little ... -
Convex and Dynamic Optimization with Learning for Adaptive Biologically Conformal Radiotherapy
The research objective of this dissertation is to apply convex and dynamic optimization methods to establish a rigorous mathematical framework called Adaptive Biologically Conformal Radiotherapy (ABCRT) for spatiotemporally ... -
Convex and Robust Optimization Methods for Modality Selection in External Beam Radiotherapy
The goal in external beam radiotherapy (EBRT) for cancer is to maximize damage to the tumor while limiting toxic effects of radiation dose on the organs-at-risk (OAR). EBRT can be delivered via different modalities such ... -
Cost-Effectiveness Analysis of Adaptive Monitoring Strategies for Depression Treatment
Depression is a significant challenge for the American medical care system and affects as high as 10% of the adult population in the U.S. There are many challenges in treating depression. People are reluctant to reveal ... -
Data-Driven Assessment of Disaster Damage and Recovery Time
Although natural hazards may sometimes be predictable, their occurrence is not preventable, especially in low-frequency-yet-high-impact events such as earthquakes and hurricanes. The catastrophic effects of natural hazards ... -
Data-Driven Polynomial Chaos Expansions for Uncertainty Quantification
Uncertainties exist in both physics-based and data-driven models of systems. Understanding how system inputs affect a system output's uncertainty is essential to improve system outputs such as quality and productivity. ... -
Decision-Analytic Models for Treatment Optimization in the Presence of Patient Heterogeneity
With the ever-increasing complexity in disease etiology, new therapeutics, healthcare service delivery, and clinical guidelines, selecting the appropriate course of treatment for an individual or population can become a ... -
Depression Management Using Electronic Health Record: Individual Progression Prediction
Mitigating depression has become a national health priority and is the most common mental illness seen in primary care. Due to the complex dynamics of individual's depression trajectory, how to predict the progression of ... -
Developing Domain-specific Simulation Objects for Modeling Clinical Laboratory Operations
Clinical laboratories play a critical role in patient diagnosis, treatment planning and prevention of disease. The inherent complexity of clinical laboratories lies both in the volume and variety of specimen types, which ... -
Diagnostic Monitoring of High-dimensional Networked Systems (with Applications in Manufacturing and Healthcare System)
Rapid advances in sensor and information technology have resulted in both spatially and temporally data-rich environment, which creates a intensive need for us to develop novel statistical methods and computationally ... -
Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System
Healthcare systems have attracted the attention of management and analysis due to their high percentage of the gross domestic product (GDP) and increasing rate of growth of expenditures. Within the various types of healthcare ... -
Driver Behavioral Adaptation to In-Vehicle Technologies: Influence of Demands and Exposures
In-Vehicle Information Systems (IVIS) can assist drivers by increasing both safety and efficiency, but may also divert drivers' attention away from the road and cause distractions. The goal of this dissertation is to examine ... -
Dynamic Models under Uncertainty for Large-Scale Enterprise Systems
Many enterprise applications such as assortment planning, inventory control and supply chain management rely on forecasting, optimization and machine learning methodologies. While many methods have been developed for static ... -
Estimating distance between pedestrians from street view images using geometric properties
A National Science Foundation (NSF)-supported Rapid Response Research (RAPID) project was granted in the early months of the COVID-19 lockdown for the purposes of tracking Seattle, Washington through the progression of the ...