Browsing Department of Industrial, Manufacturing, and Systems Engineering by Author "Rosenberger, Jay M."
Now showing items 1-20 of 22
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A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
Fallahi, Alireza; 0000-0002-3744-4380 (2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
A TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR ENHANCING SEISMIC RESILIENCE OF WATER PIPE NETWORKS
Boskabadi, Azam (2020-09-03)Earthquakes are sudden and inevitable disasters that can cause enormous losses and suffering, and having accessible water is critically important for earthquake victims. To address this challenge, utility managers do ... -
Branch-and-Cut-and-Price Methods For Logistics Problems With Limited Risk
Hwang, Hee-Su (Industrial & Manufacturing Engineering, 2007-08-23)There exist many uncertainties in a logistics system, such as unknown demand, unsteady fuel cost, machine breakdowns, and accidents to name a few. Logistics management is difficult because logistics managers must solve a ... -
Global Optimization Of Nonconvex Piecewise Linear Regression Splines
Martinez Cepeda, Nadia Maria (Industrial & Manufacturing Engineering, 2013-10-22)Global optimization has been applied to a wide variety of science and engineering design problems. Although numerous global optimization techniques have been developed and studied for decades, when used for complex systems ... -
Integrated Nurse Staffing And Assignment Under Uncertainty
Punnakitikashem, Prattana (Industrial & Manufacturing Engineering, 2007-09-17)One of the major problems in the United States health care system is a shortage of nurses. Baby boomers and an increasing elderly population are the main reasons for a rapidly growing demand for nurses. Besides the decline ... -
MARS Knot Positioning and Global Optimization
Ju, Xinglong; 0000-0001-5213-2898 (2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
MATHEMATICAL OPTIMIZATION TECHNIQUES FOR MANAGING SELECTIVE CATALYTIC REDUCTION FOR A FLEET OF COAL-FIRED POWER PLANTS
Alanis Pena, Antonio Alejandro; 0000-0001-5714-3369 (2016-05-19)Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is ... -
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For Coal-fired Power Plants
Phananiramai, Passakorn (Industrial & Manufacturing Engineering, 2011-07-14)Coal is one of the most important energy sources in the U.S. However, it is also one of the biggest air polluters where the major emissions generated from coal combustion are oxides of nitrogen (NOx). NOx leads to ozone ... -
Mathematical Programming Approaches For Land Use Planning That Limits Urban Sprawl
Kumar, Piyush (Industrial & Manufacturing Engineering, 2014-03-12)Sprawl has a detrimental effect on quality of life and the environment. For example, it increases our dependence on vehicles for daily tasks. This leads to increased vehicular pollution. It also increases traffic, which ... -
Mixed Integer Programming Models For Selecting Ground-level Ozone Control Strategies
Hsu, Wei-Che (Industrial & Manufacturing Engineering, 2011-07-14)Under the Clean Air Act (CAA) in 1990, the U.S Environmental Protection Agency (EPA) was required to set National Ambient Air Quality Standards (NAAQS) for six common air pollutants that are considered harmful to public ... -
MULTI-OBJECTIVE TWO-STAGE STOCHASTIC PROGRAMMING FOR ADAPTIVE INTERDISCIPLINARY PAIN MANAGEMENT WITH PIECE-WISE LINEAR NETWORK TRANSITION MODELS
Iqbal, Gazi Md Daud (2017-08-16)Pain is the most common symptom when a patient visits a physician. People experience pain throughout their lifetime at different degrees. If short term pain is not treated properly, then it can become long term pain, ... -
Optimization Models For Leishmaniasis Control: A Case For Bihar, India
Gorahava, Kaushik (Industrial & Manufacturing Engineering, 2013-10-22)Leishmaniasis, is a family of infectious diseases, which mostly affects poor and developing countries. The highest prevalence and mortality rate of Visceral Leishmaniasis (VL) the world over occurs in Bihar state of ... -
OPTIMIZING A SYSTEM OF ELECTRIC VEHICLE CHARGING STATIONS
Chawal, Ukesh; 0000-0002-0858-9492 (2018-05-07)There has been a significant increase in the number of electric vehicles (EVs) mainly because of the need to have a greener living. Thus, ease of access to charging facilities is a prerequisite for large scale deployment ... -
Optimizing Load Control For A Residential Microgrid In A Collaborative Environment
Ahmadi, Majid (Industrial & Manufacturing Engineering, 2013-07-22)This research is aimed to develop an analytical model for a Residential Microgrid under a collaborative environment. In order to maximize profit, Collaborative Consumption (C.C) as a community-based social agreement has ... -
Sparse Representation and Learning for Discriminative EEG Source Imaging
Liu, Feng; 0000-0002-5225-8199 (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 ... -
Supervised Sparse Learning with Applications in Bioinformatics
Puk, Kin Ming; 0000-0002-6432-101X (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 ... -
Time Depedent Queuing Models Of The National Airspace
Roongrat, Chatabush (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
Anahideh, Hadis (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, ... -
Two-stage Stochastic Programming In Adaptive Interdisciplinary Pain Management
Wang, NaChronic 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 ... -
Unmanned Aerial Vehicle Routing In The Presence Of Threats
Alotaibi, Kamil A. (Industrial & Manufacturing Engineering, 2014)The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles ...