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Articles 61 - 90 of 169
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Logistics Best Practices For Regional Food Systems: A Review, Anuj Mittal, Caroline C. Krejci, Teri J. Craven
Logistics Best Practices For Regional Food Systems: A Review, Anuj Mittal, Caroline C. Krejci, Teri J. Craven
Industrial, Manufacturing, and Systems Engineering Faculty Publications - Archive
The modern industrial food supply system faces many major environmental and social sustainability challenges. Regional food systems, in which consumers prefer geographically proximate food producers, offer a response to these challenges. However, the costs associated with distributing food from many small-scale producers to consumers have been a major barrier to long-term regional food system success. Logistics best practices from conventional supply chains have the potential to improve the efficiency and effectiveness of regional food supply chains (RFSCs). This paper provides a structured and in-depth review of the existing literature on RFSC logistics, including recommended and implemented best practices. The purpose …
Proposing A Sparse Weighted Directed Network Construction Method And A Novel Mutual-Information Based Sparse Feature Selection Algorithm For Multivariate Time-Series Analysis And Its Application In Medical Diagnostic Problems, Rahilsadat Hosseini
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed a network estimation approach namely SWDN which stands for sparse weighted directed network. In this approach, the directed subgraph of the underlying network was detected by maximum spanning tree (MST) algorithm that created a null model of connections with maximum inter-dependence (pairwise correlation or mutual information) forming the backbone structure of the MV time-series as an empirical reference. The edge weights were estimated using the …
Supervised Sparse Learning With Applications In Bioinformatics, Kin Ming Puk
Supervised Sparse Learning With Applications In Bioinformatics, Kin Ming Puk
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 the result. Sparsity of result leads to a parsimonious learning model - in other words, only few features from the data matrix are required to build the learning model and for further interpretation. The motivations of employing sparse learning in bioinformatics are two-fold: firstly, a parsimonious learning model enhances the explanatory power; and secondly, a parsimonious model generally allows better prediction and generalizes better to new …
Adjusting For Time Varying Confounding In Adaptive Interdisciplinary Pain Management Program, Nilabh Ohol
Adjusting For Time Varying Confounding In Adaptive Interdisciplinary Pain Management Program, Nilabh Ohol
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. The Eugene McDermott Center of Pain at University of Texas at Southwestern Medical Center in Dallas runs a two stage adaptive interdisciplinary pain management program with the aim to improve current and future pain outcomes. The sequential treatment regime for the pain and the observational nature of data yield to time varying confounding and a form of endogeneity. This yields biased estimates of the treatment effects which is undesirable. Our adaptive …
Tk-Mars: An Efficient Approach For Deterministic And Stochastic Black-Box Optimization, Hadis Anahideh
Tk-Mars: An Efficient Approach For Deterministic And Stochastic Black-Box Optimization, Hadis Anahideh
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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, surrogate optimization models have been validated by deterministic (noiseless) functions with every variable being significant. As a result, many surrogate optimization models used interpolating surrogates. However, many real world experiments often times include parameters that are insignificant and uncertainties associated with the black-box function. Using traditional interpolating surrogate optimization methods can lead to surrogate models with unnecessary predictors and sensitivity to noise. Consequently, a surrogate model with flexible, non-interpolating, and parsimonious characteristics is required to overcome …
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, Juan Marcos Castillo
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, Juan Marcos Castillo
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 in an overwhelming growth in Aviation. Furthermore, the economic and Logistic growth at Panama is increasing the demand of air transportation and it is creating potential for Air Logistics. Thus, the air traffic congestion is one of the greatest challenges that the Aviation Industry is seeking to address. The objective of this research is to understand if the Air Traffic …
Sparse Representation And Learning For Discriminative Eeg Source Imaging, Feng Liu
Sparse Representation And Learning For Discriminative Eeg Source Imaging, Feng Liu
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 resonance imaging (fMRI) and it has become one of the popular neuroimaging tools to find signatures of brain diseases and to understand how the brain works. Other advantages of EEG include low cost, easy portability, and non-invasive. However, a limitation of EEG is its low spatial resolution since the measurement is on the scalp rather than inside the brain. Given the recorded scalp EEG data, to reconstruct the activated brain …
Optimizing A System Of Electric Vehicle Charging Stations, Ukesh Chawal
Optimizing A System Of Electric Vehicle Charging Stations, Ukesh Chawal
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 for EV. The first component of this dissertation research seeks to formulate a deterministic mixed-integer linear programming (MILP) model to optimize the system of EV charging stations, the locations of the stations and the number of slots to be opened to maximize the profit based on the user-specified cost of opening a station. Despite giving the optimal solution, the drawback of MILP formulation …
Development Of A Framework And Analysis System To Support Intervention In Newborn Healthcare, Holly E. Lane
Development Of A Framework And Analysis System To Support Intervention In Newborn Healthcare, Holly E. Lane
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
One of the most vulnerable populations in healthcare is the newborn infant. As hospitalization for childbirth is the largest cause for entry into a healthcare facility, the population of newborns each year is extensive as is their cost of care. Newborn infants also may have additional costs associated with readmission for common or preventable illnesses, which may occur due to insufficient infant screening or lack of caregiver knowledge. Much research has been done to attempt to determine causes of readmission, what contributes to an increased or decreased readmission rate among newborns, and how healthcare interventions can impact these rates and …
Some New Results For Equilibria Of N-Person Games, Ahmad Nahhas
Some New Results For Equilibria Of N-Person Games, Ahmad Nahhas
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In this dissertation, we present four journal articles in the area of game theory. In the first article, we define a generalized equilibrium for n-person normal form games. We prove that the Nash equilibrium and the mixed Berge equilibrium are special cases of the generalized equilibrium. In the second article, we study the computational complexity of finding a mixed Berge equilibrium in n-person normal form games. In particular, we prove that the problem is an NP-complete problem for n >= 3. In the third article, we give an interpretation of mixed strategies via resource allocation. Finally, in the fourth article, …
Probability Of Success In Program Management, Tejas Pawar
Probability Of Success In Program Management, Tejas Pawar
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The field of Program Management is subject to high program failures. The Project Management Institute (PMI) states that 74% of programs are executed unsuccessfully (Mulcahy, Rita). The high rate of program failures is primarily due to inadequate planning before a program begins and inadequate management of a program when it is being executed. To avoid these high failure rates, a Program Manager needs a tool to help him assess the Probability of Success (POS) of fully accomplishing the objectives of his program from the initial planning phase and throughout all phases of program execution. Purpose: The purpose of this research …
Multi-Objective Two-Stage Stochastic Programming For Adaptive Interdisciplinary Pain Management With Piece-Wise Linear Network Transition Models, Gazi Md Daud Iqbal
Multi-Objective Two-Stage Stochastic Programming For Adaptive Interdisciplinary Pain Management With Piece-Wise Linear Network Transition Models, Gazi Md Daud Iqbal
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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, which is also known as chronic pain. The Eugene McDermott Center for pain management at UT Southwestern Medical Center conducts a two-stage pain management program for chronic pain. This research uses a two-stage stochastic programming approach to optimize personal adaptive treatment strategies for pain management. The goal is to generate adaptive treatment strategies using statistics based optimization approaches that can be used by physicians …
Using Approximate Dynamic Programming To Control An Electric Vehicle Charging Station System, Ying Chen
Using Approximate Dynamic Programming To Control An Electric Vehicle Charging Station System, Ying Chen
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Dynamic programming (DP) as a mathematical programming approach to optimize a system evolving over time has been applied to solve the multi-stage optimization problems in a lot of areas such as manufacturing systems and environmental engineering. Due to the “curses of dimensionality”, traditional DP method is only able to solve a low dimensional problem or problems under very limiting restrictions, In order to employ DP to solve high-dimensional practical complex systems, approximate dynamic programming (ADP) is proposed. Several versions of ADP has been introduced in the literature and for this study, the author takes advantage of design and analysis of …
Productivity Improvement And Cost Optimization Of Small And Medium Scale Enterprises, Unmesh Vishwas Tamhankar
Productivity Improvement And Cost Optimization Of Small And Medium Scale Enterprises, Unmesh Vishwas Tamhankar
Industrial, Manufacturing, and Systems Theses - Archive
Productivity improvement and cost optimization have been a topic of discussion for at least a century. The publication of Fredrick Taylor’s book ‘The Principles of Scientific Management’ in 1911 can be considered as the beginning of the Efficiency movement. Surprisingly, the awareness about the principles of Industrial Engineering is relatively low in many family-owned Small and Medium Scale Enterprises (SMEs). According to a World Bank report, formal SMEs make up 45% of total employment and contribute 33% of GDP in emerging markets. In the USA, SMEs make up for more than 95% of all firms and employ 50% of private …
Risk Assessment And Analysis Of Pharmaceutical Industry Due To Recalls, Sowmya Dinamani Rao
Risk Assessment And Analysis Of Pharmaceutical Industry Due To Recalls, Sowmya Dinamani Rao
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In the past five years, there have been 5900 recalls of drugs by the U.S. Food and Drug Administration (FDA) which created distraught consumers and shareholders of pharmaceutical companies. In addition, recalls cause disruption in the supply chain mak-ing the pharmaceutical companies vulnerable to various types of risks. These risks include the potential for losing customers and investors as well as the huge financial losses from fines, penalties, lawsuits, revenue loss, market share and increased operations costs. Purpose: The purpose of this research is to study the consequences of product recall on Pharmaceutical Company. Methodology: Event study methodology was used …
Predicting A Quarterback's Fantasy Football Point Output For Daily Fantasy Sports Using Statistical Models, Nicholas Aaron King
Predicting A Quarterback's Fantasy Football Point Output For Daily Fantasy Sports Using Statistical Models, Nicholas Aaron King
Industrial, Manufacturing, and Systems Theses - Archive
In the new age of daily fantasy sports (DFS), fantasy football has become an enormous revenue generator for DFS sites, such as DraftKings and FanDuel. Both companies are valued over \$1 billion. However, previous analysis done by popular DFS site Rotogrinders has shown that only the top players are consistently winning, the top 10 players much more frequently than the remaining 20,000 players. Using complex statistical models they're able to identify top athletes and value picks (based on an athlete's draft `salary') that the average player might not be aware of. There is a need to evaluate which methods and …
A Design And Analysis Of Computer Experiments Approach For Green Building, Marjan Sayadi
A Design And Analysis Of Computer Experiments Approach For Green Building, Marjan Sayadi
Industrial, Manufacturing, and Systems Theses - Archive
The coming shortage of energy sources and critical environmental impacts are two major factors that have forced a change in product design processes. The shortage of energy sources is related to the limitation on non-renewable energy sources on earth and requires the development of new concepts with lower energy consumptions. Environmental impact, on the other hand, is concerned about the negative effects of products on the natural environment. In recent years, research on designing more environmentally-friendly products that consume lower of energy with lower environmental impact has been initiated to address these issues [1-3]. Designing new powertrains for vehicles [4] …
Evaluating Increasing Hospital Closure Rates In U.S: A Model Framework And A Lean Six Sigma Deployment Approach For Quality Improvement Initiatives To Prevent Further Closures In Rural And Disadvanaged Locations, Soma Sekar Balasubramanian
Evaluating Increasing Hospital Closure Rates In U.S: A Model Framework And A Lean Six Sigma Deployment Approach For Quality Improvement Initiatives To Prevent Further Closures In Rural And Disadvanaged Locations, Soma Sekar Balasubramanian
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Hospital Closures occur from time to time. Several rural hospitals were closed in the U.S recently in an unprecedented manner and hundreds of others are at the risk of closing. The Patient Protection and Affordable Care Act (PPACA) which was amended in 2010, has brought sea of changes in the healthcare industry right from changing the way how hospitals receive reimbursements by introducing several new programs targeting hospitals’ quality of care to expanding health insurance for millions of poor and underprivileged populations in the country. The goal of this study is to understand the closure of rural hospitals in line …
Evaluating The Impacts Of Sleep Disruptions In Women Through Automated Analysis (Sjsl Framework), Shalini Gupta
Evaluating The Impacts Of Sleep Disruptions In Women Through Automated Analysis (Sjsl Framework), Shalini Gupta
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The proposed research suggests a solution for female sleep disruption by using automated analytics and attempts to improve our understanding of sleep disruption physiology. Although, sleep disruption monitoring is gaining attention with the use of sleep monitoring devices that track sleep disruptions. Automated technology can capture repeated measurements, evaluate sleep patterns, and make suggestions. However, facts revealed by clinical research suggest that it can measure sleep – disruption records, and sleep disorders. Moreover, this research can be useful for prescribing individual treatment, and hence improve individual healthcare optimization. In fact, some of the health tracking electronic devices assist individuals in …
Evaluating The Impacts Of The Internet Of Things To Reduce Runway Incursions: Understanding The Why, How, And When, Samuel Inanore Okate
Evaluating The Impacts Of The Internet Of Things To Reduce Runway Incursions: Understanding The Why, How, And When, Samuel Inanore Okate
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The Federal Aviation Administration’s (FAA) mission is to maintain the safest and most efficient aerospace system in the world. The FAA has stated that runway safety is one of their top priorities, which encapsulates pilots, air traffic controllers, and airport vehicle drivers and workers (Federal Aviation Administration, June 2015). Federal Aviation Administration categorizes a runway incursion as a hazardous event that can occur in the Air Operations Area (AOA) that involves an incorrect presence of an aircraft, vehicle or person in the protected area of a surface designated for the landing and takeoff of an aircraft (Federal Aviation Administration, June …
Capacity Fade Of Valve Regulated Lead Acid & Lithium Iron Phosphate Batteries Through High Rate, Pulsed Loads, Christopher Lee Williams
Capacity Fade Of Valve Regulated Lead Acid & Lithium Iron Phosphate Batteries Through High Rate, Pulsed Loads, Christopher Lee Williams
Industrial, Manufacturing, and Systems Theses - Archive
Electrochemical energy storage has become more power and energy dense in recent years. Many applications demanding energy storage operate in a pulsed manner. The most common chemistries considered for use in these applications include valve regulated lead acid (VRLA) and lithium-ion (LI). In the work presented here, one of each of these types of batteries has been assembled with ~60 V open circuit potentials (OCPs) and is in the process of experimentally characterizing their capacity fade and impedance growth when they are used to drive a high current pulsed load in a 5 seconds on / 5 seconds off pulsed …
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 cheaply available, making it a good choice for the generation of electricity on a large scale. However, one major problem associated with using coal for combustion is that it produces a group of pollutants known as nitrogen oxides (NOx). NOx are strong oxidizers and contribute to ozone formation and respiratory illness. The Environmental Protection Agency (EPA) regulates the quantity of NOx emitted to the atmosphere in …
Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis, Daniel Gellerup
Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis, Daniel Gellerup
Industrial, Manufacturing, and Systems Theses - Archive
In this study, we explored the use of functional connectivity patterns in fMRI data to classify subjects on the basis of Parkinson's disease. We explore various brain networks and features. We partition our fMRI data in 5 filtered frequency ranges. We use a proximal support vector machine paired with a minimum-redundancy and maximum-relevance feature selection method on each frequency range. We use a majority voting ensemble classification method on the results of the proximal support vector machine classification results. We use a double 5-fold cross validation scheme for model validation. We achieve 84% accuracy 74% sensitivity, and 93% specificity. Our …
A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos
A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Sustainability of energy systems is one of the most important challenges currently facing humanity. Access to energy is critical to ensure economic and social development of a nation (UNDP et al., 2000); however, extraction, production and consumption of energy resources are also associated with high volumes of greenhouse gas (GHG) emissions, environmental damage and, in some cases, adverse health effects in communities where energy facilities are located. Renewable energy sources have been considered as an alternative to traditional energy sources to meet energy demand in a sustainable manner (Del Rio and Burguillo, 2008). Wind energy is considered to be one …
Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan
Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving linear programming problems. Here we use the simplex method in an active-set frame work to improve it substantially. In general an active-set method obtains solutions by adding one or more problem constraints at a time to solve smaller problems iteratively. In particular, some of these methods have proven to perform significantly faster than the simplex method. In this dissertation we proposed an e?cient constraint selection metric …
Implementation Process For Automated Data Analysis In Mineral Extraction Companies, Richard A. Leach
Implementation Process For Automated Data Analysis In Mineral Extraction Companies, Richard A. Leach
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The need to determine knowledge from increasing amounts of information and raw data is a current and ongoing goal [1]. As technology continues to advance in the ability to collect and save more and more data, companies today must assimilate and understand this information as a valuable resource [2]. Companies in marketing and sales have found the use of a data warehouse and automated data analysis to be valuable resources [2]. This automated analysis of data has also been implemented in disciplines including scientific and medical research [2]. However, there continue to be other lower tech industrial areas of activity …
Evaluating The Economic Impacts Of Pipeline Useage On The Indian Oil And Gas Supply Chain., Atul Vilas Kamble
Evaluating The Economic Impacts Of Pipeline Useage On The Indian Oil And Gas Supply Chain., Atul Vilas Kamble
Industrial, Manufacturing, and Systems Theses - Archive
The objective of this dissertation is to find the minimum supply chain cost for the Indian oil and gas industry. The problem is solved by introducing a mixed – integer programming model which will avail in taking the obligatory decisions predicated on the cost estimates for sundry scenarios. In order to meet the objective, categorical objectives were put down to evaluate their impacts. This research was to evaluate the economic impact of mode of transport. This research primarily focusses on the Pipeline mode of transport and how the selected pipe diameter and the flow through the selected pipe affect the …
Evaluating The Economic Impacts Of Pipeline Usage On Texas Oil & Gas Supply Chain, Jashandeep Singh
Evaluating The Economic Impacts Of Pipeline Usage On Texas Oil & Gas Supply Chain, Jashandeep Singh
Industrial, Manufacturing, and Systems Theses - Archive
The objective of this dissertation is to find the minimum supply chain cost for the Texas oil and gas industry, when pipeline is used as the major mode of transporting oil. The problem is solved, by introducing a mixed – integer linear programming model which will help in taking the necessary decisions based on the cost estimates for various scenarios. In order to meet the objective, specific objectives were put down to evaluate their impacts. First was to evaluate the economic impact of mode of transport and the infrastructure second was to evaluate the economic impact of refinery flow. Finally …
Evaluate The Impact Of Sustainability And Pipeline Quality On Global Crude Oil Supply Chain, Sunny Paraskumar Jain
Evaluate The Impact Of Sustainability And Pipeline Quality On Global Crude Oil Supply Chain, Sunny Paraskumar Jain
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
United states is one of the largest crude oil producer in the world but the consumption rate is higher than production hence united states imports oil from varies part of world depend on different criteria. The objective of this dissertation is to evaluate the impact of pipeline quality and facility sustainability on crude oil supply chain cost for Russia and Colombia that gave idea about when and where we have to invest to satisfy United states oil requirement. In order to meet this objective, three specific criteria are investigated as follow:1. Evaluate the supply chain factors that determine pipeline quality …
Two-Stage Stochastic Programming In Adaptive Interdisciplinary Pain Management, Na Wang
Two-Stage Stochastic Programming In Adaptive Interdisciplinary Pain Management, Na Wang
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 Southwestern Medical Center at Dallas conducted a two-stage pain management program for patients who suffer from chronic pain. Data information such as patient’s parameter, past treatment, pain outcome at different evaluation point and so on has been collected by the McDermott Center. The University of Texas at Arlington is collaborating with the McDermott Center to find optimal treatment strategies for individual patients.A treatment strategy …