Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Game Theory (2)
- Integer Programming (2)
- Multi-objective Optimization (2)
- Nash bargaining solution (2)
- : Infectious disease simulation (1)
-
- Anomaly Detection (1)
- Antiviral Agent (1)
- Asset Allocation (1)
- Battery Systems (1)
- Benders’ decomposition (1)
- Bi-level Optimization (1)
- Bi-level programming (1)
- Bike Sharing (1)
- Bloodmobile Routing Problem (1)
- Boundedly Rational (1)
- C2 (1)
- CMF (1)
- Carbon Trading (1)
- Chemotherapy (1)
- Combinatorial Auction (1)
- Computer Simulation (1)
- Concurrent viral strains (1)
- Conditional Value-at-Risk (1)
- Conservation (1)
- Crossmatch-to-Transfusion Ratio (1)
- Crowd-sourcing last-mile delivery (1)
- Cyber (1)
- Cyber operations (1)
- Cyberspace (1)
- Data mining (1)
- Publication Year
- Publication Type
Articles 1 - 24 of 24
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Theory And Algorithms For Systems Optimization, Vahid Mahmoodian
Theory And Algorithms For Systems Optimization, Vahid Mahmoodian
USF Tampa Graduate Theses and Dissertations
This dissertation presents four sets of contributions in the field of theory and algorithms for system optimization. In the first set, we introduce a simulation optimization method for redistributing bikes in a free-floating bike sharing system. The second set of contributions is a framework for batching queries in large databases to optimize the data retrieval time. The third set includes two branch-and-bound algorithms to solve minimum multiplicative programming problems and one branch-and-bound algorithm to solve the maximum form of the mentioned problems. At last, the fourth set presents an approach to fairlyassign delivery tasks in an outsourcing last-mile delivery system …
Analysis And Modeling Of Strategic Interactions In Health Systems To Improve Patient Care Access, Jorge A. Acuña Melo
Analysis And Modeling Of Strategic Interactions In Health Systems To Improve Patient Care Access, Jorge A. Acuña Melo
USF Tampa Graduate Theses and Dissertations
Affordable health care access that provides well-coordinated and high-quality services on time is a goal that governments and health organizations strive for. Regrettably, most countries deal with access problems that affect the population's health, such as long waiting lists for specialized medical services, overcrowding of emergency departments, and high health prices. In the present doctoral dissertation, I model and analyze the strategic interactions that inhabit the health system machinery to uncover possible structural problems that led to the aforementioned issues. The study involves operation research, data science, and game theory techniques to address the health care access predicament.
Each research …
Maximum Multiplicative Programming: Theory, Algorithms, And Applications, Payman Ghasemi Saghand
Maximum Multiplicative Programming: Theory, Algorithms, And Applications, Payman Ghasemi Saghand
USF Tampa Graduate Theses and Dissertations
This dissertation presents three different contributions to an important class of optimization problems known as Multiplicative Programs (MPs). The first group of contributions contains the development and analysis of several multi-objective optimization-based based algorithms designed to find the optimal solution of Mixed Integer Linear MPs. As for the second group, the application of a special class of MPs in radiotherapy planning is presented. Finally, in the last group, a new technique for conducting the multiplication process in the objectives of MPs is presented. Using this technique, we introduce a family of novel solution methods that are capable of solving both …
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo
USF Tampa Graduate Theses and Dissertations
The quadruple aim is an approach to optimize the performance of the health system in the United States and consists of four dimensions. The main objective is to improve the population's health, followed by reducing cost, improving patients' experience, and increasing providers' satisfaction. In the present doctoral dissertation, I explore three strategies that help accomplish the quadruple aim at the primary care level. The analysis combines data science and operation research principles to address health system engineering questions.
Each strategy proposed in this document emphasizes one objective more than another; however, all of them in conjunction serve to attain the …
The Utilization Of Shared Energy Storage In Energy Systems: Design, Modeling And Optimization, Rui Dai
The Utilization Of Shared Energy Storage In Energy Systems: Design, Modeling And Optimization, Rui Dai
USF Tampa Graduate Theses and Dissertations
Energy storage (ES) plays a significant role in modern smart grids and energy systems. With the advances of ES technologies, efficiently applying ES to energy systems has become the bottleneck for achieving the benefits of ES. The traditional approach of utilizing ES is the so-called distributed framework in which there is a separate ES for each individual user. Due to the inherent limits in the distributed framework such as cost inefficiency and space limitations, many studies have promoted to utilize a shared ES in energy systems to further exploit the potentials of ES. However, current studies always focus on maximizing …
Using Optimization Methods For Solving Problems In Sustainable Urban Mobility And Conservation Planning, Zulqarnain Haider
Using Optimization Methods For Solving Problems In Sustainable Urban Mobility And Conservation Planning, Zulqarnain Haider
USF Tampa Graduate Theses and Dissertations
This dissertation considers three separate optimization problems related to sustainable urban and environmental systems. The first problem relates to the nightly relocation and recharging operations for Free-floating electric vehicle sharing (FFEVS) systems. Such operations involve a crew of drivers to move the shared electric vehicles (EVs), and a fleet of shuttles to transport those drivers. Mixed integer programs are used to model the relocation and recharging operations. Two approaches are devised: sequential and synchronized approaches. In the sequential approach, the movement of EVs is first decided, then the routing of shuttles and drivers is determined. In the synchronized approach, all …
Game Theory Approaches For Transportation Problems, Mahdi Takalloo
Game Theory Approaches For Transportation Problems, Mahdi Takalloo
USF Tampa Graduate Theses and Dissertations
This dissertation considers three separate game theory problems in transportation. In the first problem, a combinatorial auction market has been proposed for fractional ownership of autonomous vehicles. The proposed combinatorial auction has two unique features. First, the items are continuous time slots defined by bidders and second, the spatial information of bidders has been incorporated so that sharing becomes a viable plan. A conflict-based formulation of the winner determination problem has been proposed, for which an effective solution approach based on a heuristic and a maximal-clique based relaxation has been presented. The second part of the dissertation examines a pessimistic …
Algorithms For Multi-Objective Mixed Integer Programming Problems, Alvaro Miguel Sierra Altamiranda
Algorithms For Multi-Objective Mixed Integer Programming Problems, Alvaro Miguel Sierra Altamiranda
USF Tampa Graduate Theses and Dissertations
This thesis presents a total of 3 groups of contributions related to multi-objective optimization. The first group includes the development of a new algorithm and an open-source user-friendly package for optimization over the efficient set for bi-objective mixed integer linear programs. The second group includes an application of a special case of optimization over the efficient on conservation planning problems modeled with modern portfolio theory. Finally, the third group presents a machine learning framework to enhance criterion space search algorithms for multi-objective binary linear programming.
In the first group of contributions, this thesis presents the first (criterion space search) algorithm …
Prioritizing Strategic Cyberspace Lethality, Andrew J. Schoka
Prioritizing Strategic Cyberspace Lethality, Andrew J. Schoka
Military Cyber Affairs
The primary concern of United States national security policy, as detailed in the 2018 National Defense Strategy, has shifted from asymmetrical counter-insurgency operations to countering inter-state strategic competition by rogue regimes and revisionist powers. This doctrinal shift has prompted an increased emphasis on military lethality, particularly in strategic-level cyberspace operations intended to counter open challenges to the global security environment and United States preeminence. Drawing from the theory of constraints in industrial engineering and Bayesian search theory in operations research, this paper identifies the key organizational constraints that hinder the lethality of the Department of Defense’s strategic-level cyberspace operations units …
Essays On Time Series And Machine Learning Techniques For Risk Management, Michael Kotarinos
Essays On Time Series And Machine Learning Techniques For Risk Management, Michael Kotarinos
USF Tampa Graduate Theses and Dissertations
The Capital Asset Pricing Model combined with the Sharpe ratio is a standard method for choosing assets for selection in a portfolio. However, this method has many structural issues and was designed for a time when high dimensional computing was in its infancy. An alternative to these methods using a mix of Multi-Level Time Series Clustering, the MACBETH algorithm and traditional time series techniques was constructed that minimized data loss and allow for customized portfolio construction for investors with different risk profiles and specialized investment needs. It was shown that these methods are adaptable to cloud computing environments and allow …
Routing And Designing Networks For Two Transportation Problems, Liu Su
Routing And Designing Networks For Two Transportation Problems, Liu Su
USF Tampa Graduate Theses and Dissertations
Routing and designing are essential for transportation networks. With effective routing and designing policies, transportation networks can work safely and efficiently. There are two transportation problems: hazardous materials (hazmat) transportation and warehouse logistics. This dissertation addresses the routing of networks for both problems. For hazmat transportation, the routing can be regulated via network design. Due to catastrophic consequences of potential accidents in hazmat transportation, a risk-averse approach for routing is necessary. In this dissertation, we consider spectral risk measures, for risk-averse hazmat routing. In addition, we introduce a network design problem to select a set of closed road segments for …
Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal
Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal
USF Tampa Graduate Theses and Dissertations
Bike Sharing is a sustainable mode of urban mobility, not only for regular commuters but also for casual users and tourists. Free-floating bike sharing (FFBS) is an innovative bike sharing model, which saves on start-up cost, prevents bike theft, and offers significant opportunities for smart management by tracking bikes in real-time with built-in GPS. Efficient management of a FFBS requires: 1) analyzing its mobility patterns and spatio-temporal imbalance of supply and demand of bikes, 2) developing strategies to mitigate such imbalances, and 3) understanding the causes of a bike getting damaged and developing strategies to minimize them. All of these …
Space-Time Transportation System Modelling: From Traveler’S Characteristics To The Network Design Problem, Mohsen Parsafard
Space-Time Transportation System Modelling: From Traveler’S Characteristics To The Network Design Problem, Mohsen Parsafard
USF Tampa Graduate Theses and Dissertations
Traditional network design problems only consider the long-term stationary travel patterns (e.g., fixed OD demand) and short-term variations of human mobility are ignored. This study aims to integrate human mobility characteristics and travel patterns into network design problems using a space-time network structure. Emerging technologies such as location-based social network platforms provide a unique opportunity for understanding human mobility patterns that can lead to advanced modeling techniques. To reach our goal, at first multimodal network design problems are investigated by considering safety and flow interactions between different modes of transport. We develop a network reconstruction method to expand a single-modal …
Optimal Demand Response Models With Energy Storage Systems In Smart Grids, Mohemmed Masooud Alhaider
Optimal Demand Response Models With Energy Storage Systems In Smart Grids, Mohemmed Masooud Alhaider
USF Tampa Graduate Theses and Dissertations
This research aims to develop solutions to relieve system stress conditions in electric grids. The approach adopted in this research is based on a new concept in the Smart Grid, namely, demand response optimization. A number of demand response programs with energy storage systems are designed to enable a community to achieve optimal demand side energy management.
The proposed models aim to improve the utilization of the demand side energy through load management programs including peak shaving, load shifting, and valley lling. First, a model is proposed to nd the optimal capacity of the battery energy storage system (BESS) to …
Achieving Reliable Generation \& Delivery Of Energy Through Robust Optimization, Anna Danandeh
Achieving Reliable Generation \& Delivery Of Energy Through Robust Optimization, Anna Danandeh
USF Tampa Graduate Theses and Dissertations
In this dissertation, we elaborate on the inherent risks and uncertainties in power systems and associated industries, and develop practical solution methods to eliminate their adverse effects.
our research agenda consists of practice-driven problems in different stages of power generation as follows. (1) Affordable fuel procurement through developing a comprehensive fuel supply chain design and operations planning system for electricity generation companies, (2) reliable electricity generation through incorporating dynamic asset rating concept in the unit commitment problem, and (3) efficient demand management through proposing a job scheduling model for effective local generation consumption.
Since reliability cannot be compromised in energy …
Antiviral Resistance And Dynamic Treatment And Chemoprophylaxis Of Pandemic Influenza, Sandro Paz
Antiviral Resistance And Dynamic Treatment And Chemoprophylaxis Of Pandemic Influenza, Sandro Paz
USF Tampa Graduate Theses and Dissertations
Public health data show the tremendous economic and societal impact of pandemic influenza in the past. Currently, the welfare of society is threatened by the lack of planning to ensure an adequate response to a pandemic. This preparation is difficult because the characteristics of the virus that would cause the pandemic are unknown, but primarily because the response requires tools to support decision-making based on scientific methods. The response to the next pandemic influenza will likely include extensive use of antiviral drugs, which will create an unprecedented selective pressure for the emergence of antiviral resistant strains. Nevertheless, the literature has …
Location And Capacity Modeling Of Network Interchanges, Aldo D. Fabregas
Location And Capacity Modeling Of Network Interchanges, Aldo D. Fabregas
USF Tampa Graduate Theses and Dissertations
Network design decisions, especially those pertaining to urban infrastructure, are made by a central authority or network leader, and taking into consideration the network users or followers. These network decision problems are formulated as non-linear bi-level programming problems. In this work, a continuous network design problem (CNDP) and discrete network design problem (DNDP) bi-level optimization programs are proposed and solved in the context of transportation planning. The solution strategy involved reformulation and linearization as a single-level program by introducing the optimality conditions of the lower level problem into the upper level problem. For the CNDP, an alternative linearization algorithm (modified …
Novel Models And Algorithms For Uncertainty Management In Power Systems, Long Zhao
Novel Models And Algorithms For Uncertainty Management In Power Systems, Long Zhao
USF Tampa Graduate Theses and Dissertations
This dissertation is a collection of previously-published manuscript and conference papers. In this dissertation, we will deal with a stochastic unit commitment problem with cooling systems for gas generators, a robust unit commitment problem with demand response and uncertain wind generation, and a power grid vulnerability analysis with transmission line switching. The latter two problems correspond to our theoretical contributions in two-stage robust optimization, i.e., how to efficiently solve a two-stage robust optimization, and how to deal with mixed-integer recourse in robust optimization. Due to copyright issue, this dissertation does not include any methodology papers written by the author during …
Supply Chain Optimization Of Blood Products, Serkan Gunpinar
Supply Chain Optimization Of Blood Products, Serkan Gunpinar
USF Tampa Graduate Theses and Dissertations
Major challenges in the management of blood supply chain are related to the shortage and wastage of the blood products. Given the perishability characteristics of blood which can be stored up to a limited number of days, if hospitals and blood centers keep an excessive number of blood units on inventory, wastages may occur. On the other hand, if sufficient number of blood units are not stored on inventory, shortages of this resource may cause the cancellations of important activities and increase the fatality rates at hospitals. Three mathematical models have been developed with the goal to improve the efficiency …
A Methodology For Scheduling Operating Rooms Under Uncertainty, Marbelly Paola Davila
A Methodology For Scheduling Operating Rooms Under Uncertainty, Marbelly Paola Davila
USF Tampa Graduate Theses and Dissertations
An operating room (OR) is considered to be one of the most costly functional areas within hospitals as well as its major profit center. It is known that managing an OR department is a challenging task, which requires the integration of many actors (e.g., patients, surgeons, nurses, technicians) who may have conflicting interests and priorities.
Considering these aspects, this dissertation focuses on developing a simulation based methodology for scheduling operating rooms under uncertainty, which reflects the complexity, uncertainty and variability associated with surgery.
We split the process of scheduling ORs under uncertainty into two main components. First, we designed a …
Extensions Of Multistage Stochastic Optimization With Applications In Energy And Healthcare, Ludwig Charlemagne Kuznia
Extensions Of Multistage Stochastic Optimization With Applications In Energy And Healthcare, Ludwig Charlemagne Kuznia
USF Tampa Graduate Theses and Dissertations
This dissertation focuses on extending solution methods in the area of stochastic optimization. Attention is focused to three specific problems in the field. First, a solution method for mixed integer programs subject to chance constraints is discussed. This class of problems serves as an effective modeling framework for a wide variety of applied problems. Unfortunately, chance constrained mixed integer programs tend to be very challenging to solve. Thus, the aim of this work is to address some of these challenges by exploiting the structure of the deterministic reformulation for the problem. Second, a stochastic program for integrating renewable energy sources …
Modeling And Surveillance Of Pandemic Influenza Outbreaks, Diana Prieto
Modeling And Surveillance Of Pandemic Influenza Outbreaks, Diana Prieto
USF Tampa Graduate Theses and Dissertations
Pandemic outbreaks are unpredictable as to their virus strain, transmissibility, and impact on our quality of life. Hence, the decision support models for mitigation of pandemic outbreaks must be user-friendly and operational, and also incorporate valid estimates of disease transmissibility and severity. This dissertation research is aimed at 1) reviewing the existing pandemic simulation models to identify their implementation gaps with regard to usability and operability, and suggesting research remedies, 2) increasing operability of simulation models by calibrating them via an epidemiological model that estimates infection probabilities using viral shedding profiles of concurrent pandemic and seasonal influenza, and 3) developing …
Cap-And-Trade Modeling And Analysis For Electric Power Generation Systems, Patricio Rocha
Cap-And-Trade Modeling And Analysis For Electric Power Generation Systems, Patricio Rocha
USF Tampa Graduate Theses and Dissertations
Cap-and-trade is the most discussed CO2 emissions control scheme in the U.S. It is a market-based mechanism that has been used previously to successfully reduce the levels of SO2 and NOx emitted by power generators. Since electricity generators are responsible for about 40% of the CO2 emissions in the U.S., the implementation of CO2 cap-and-trade will have a significant impact on electric power generation systems. In particular, cap-and-trade will influence the investment decisions made by power generators. These decisions in turn, will affect electricity prices and demand. If the allowances (or emission permits) created by …
Decision Support Models For Design Of Fortified Distribution Networks, Qingwei Li
Decision Support Models For Design Of Fortified Distribution Networks, Qingwei Li
USF Tampa Graduate Theses and Dissertations
Lean distribution networks have been facing an increased exposure to the risk of unpredicted disruptions causing significant economic forfeitures. At the same time, the existing literature contains very few studies that examine the impact of fortification of facilities for improving network reliability. This dissertation presents three related classes of models that support the design of reliable distribution networks. The models extend the uncapacitated P-median and fixed-charge location models by considering heterogeneous facility failure probabilities, supplier backups, and facility fortification within a finite budget. The first class of models considers binary fortification via linear fortification functions. The second class of models …