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Articles 31 - 44 of 44
Full-Text Articles in Operational Research
Migration Issues In The Democratic Republic Of Congo, Michael J. Thompson
Migration Issues In The Democratic Republic Of Congo, Michael J. Thompson
Theses and Dissertations
Since the end of the Cold War, the number of weak and failing states has increased significantly. The United States (US) military has been deployed in multiple nation states in an effort to prevent these weak states from collapsing into chaos. This thesis explores one of the driving factors of state collapse, net migration, to gauge how US foreign policy might be employed to reduce the flow of people out of a country. To demonstrate the foreign policies and their effects, a pilot model was constructed using a system dynamics methodology. The Democratic Republic of Congo (DRC) was selected as …
Fusion Schemes For Ensembles Of Hyperspectral Anomaly Detection Algorithms, Brooks R. Turnquist
Fusion Schemes For Ensembles Of Hyperspectral Anomaly Detection Algorithms, Brooks R. Turnquist
Theses and Dissertations
Hyperspectral imaging is playing an ever increasing role in our military's remote sensing operations. The exponential increase in collection operations generates more data than can be evaluated by analysts unassisted. Anomaly detectors attempt to reduce this load on analysts by identifying potential target pixels which appear anomalous when compared to what are determined to be background, or non-target, pixels. However, there is no one individual algorithm that is best suited for all situations and it can be difficult to choose the best algorithm for each individual task. Fusion techniques have been shown to reduce errors and increase generalization, eliminating the …
Artificial Neural Networking As A Decision Tool For Natural Gas Investment, Micah D. Denecour
Artificial Neural Networking As A Decision Tool For Natural Gas Investment, Micah D. Denecour
Master's Theses
With the growing interest in the Marcellus Shale and its natural gas deposits, there are opportunities to purchase and hold land for investment purposes. A robust decision tool is needed to help guide investors towards the most profitable properties. Artificial neural networks have many unique benefits that make them an ideal candidate for this purpose.
The artificial neural networks created in this study had nine independent variables. Combinations of these nine variables were created to describe 300 theoretical properties available for purchase. Each of these properties were then evaluated by an expert in the field and given a score from …
Ambulatory Healthcare Utilization In The United States: A System Dynamics Approach, Rafael Diaz, Joshua G. Behr, Mandar Tulpule
Ambulatory Healthcare Utilization In The United States: A System Dynamics Approach, Rafael Diaz, Joshua G. Behr, Mandar Tulpule
VMASC Publications
Ambulatory health care needs within the United States are served by a wide range of hospitals, clinics, and private practices. The Emergency Department (ED) functions as an important point of supply for ambulatory healthcare services. Growth in our aging populations as well as changes stemming from broader healthcare reform are expected to continue trend in congestion and increasing demand for ED services. While congestion is, in part, a manifestation of unmatched demand, the state of the alignment between the demand for, and supply of, emergency department services affects quality of care and profitability. The central focus of this research is …
A Microsimulation Of Traffic, Parking, And Emissions At California Polytechnic State University – San Luis Obispo, Steven Michael Kilbert
A Microsimulation Of Traffic, Parking, And Emissions At California Polytechnic State University – San Luis Obispo, Steven Michael Kilbert
Master's Theses
Traffic and parking congestion are significant issues at many universities nationwide. The delays experienced result in wasted time, money, and fuel for students, faculty and staff, not to mention the negative contributions to the environment. This paper quantifies the amount of vehicle emissions generated during an average morning peak hour in the university environment. Using VISSIM and CMEM microsimulation packages, a model is created for California Polytechnic State University- San Luis Obispo to aggregate the collective transportation behaviors and practices of the campus and recognize the implications these behaviors pose on the transportation network as a whole. Reasonable estimates are …
Introduction: Advances In E-Business Engineering, Ling Li
Introduction: Advances In E-Business Engineering, Ling Li
Information Technology & Decision Sciences Faculty Publications
(First paragraph) E-business is more than just e-commerce. It is one of the most challenging areas for industry and research communities. E-business has evolved from business-to-business, business-to-customer, customer-to-business, customer-to-customer, and business-to-government systems to the integrated and collaborative business services among various information systems and e-marketplaces. In this evolving process, integrated e-business systems and their related supporting platforms have to be rapidly designed and developed in order to meet different requirements. A variety of e-business engineering paradigms and technologies have been developed to tackle these challenges. There are many research issues needed to be addressed. These issues include heterogeneous services integration, …
Self Learning Strategies For Experimental Design And Response Surface Optimization, Adel Alaeddini
Self Learning Strategies For Experimental Design And Response Surface Optimization, Adel Alaeddini
Wayne State University Dissertations
Most preset RSM designs offer ease of implementation and good performance over a wide range of process and design optimization applications. These designs often lack the ability to adapt the design based on the characteristics of application and experimental space so as to reduce the number of experiments necessary. Hence, they are not cost effective for applications where the cost of experimentation is high or when the experimentation resources are limited. In this dissertation, we present a number of self-learning strategies for optimization of different types of response surfaces for industrial experiments with noise, high experimentation cost, and requiring high …
Dynamic Routing On Stochastic Time-Dependent Networks Using Real-Time Information, Ali R. Guner
Dynamic Routing On Stochastic Time-Dependent Networks Using Real-Time Information, Ali R. Guner
Wayne State University Dissertations
In just-in-time (JIT) manufacturing environments, on-time delivery is one of the key performance measures for dispatching and routing of freight vehicles. Both the travel time delay and its variability impact the efficiency of JIT logistics operations, that are becoming more and more common in many industries, and in particular, the automotive industry. In this dissertation, we first propose a framework for dynamic routing of a single vehicle on a stochastic time dependent transportation network using real-time information from Intelligent Transportation Systems (ITS). Then, we consider milk-run deliveries with several pickup and delivery destinations subject to time windows under same network …
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 …
The Effects Of Anti-Price Gouging Legislation On Supply Chain Dynamics, Jason Edward Maynard
The Effects Of Anti-Price Gouging Legislation On Supply Chain Dynamics, Jason Edward Maynard
Master's Theses
The purpose of this thesis is to model the effects of anti-price gouging (APG) legislation on the costs to businesses during the recovery period of a disaster. A system dynamics model of a business’s replenishment procedures is used to simulate the effects of APG legislation on business performance. Economists have published expansive research on the effects of price ceilings on supply and demand, but there is little research evidence on the operational consequences of price ceiling legislation on business costs. APG legislation increases consumer’s forward buying and shortage gaming after a disaster by removing price incentives to be frugal. Forward …
Perspectives On Quality Coordination And Assurance In Global Supply Chains, Ling Li, John N. Warfield
Perspectives On Quality Coordination And Assurance In Global Supply Chains, Ling Li, John N. Warfield
Information Technology & Decision Sciences Faculty Publications
The 2007 recall of Berko Electric Toe-Space Heaters made in the US, the recall of backpack blowers made in Japan, the recalls of toys and pet food produced in China have exposed the potential of global supply chain disruptions. This product recall storm leads to the issue of quality assurance in global supply chain management. Product recalls indicate that manufacturing companies are particularly vulnerable to ensure quality when they source via a global supply chain with poor visibility. Obviously, a supply chain cannot afford this kind of sourcing and supply structure that threatens the supply-chain integrity. This special issue on …
Development Of A New Evolutionary Algorithm Based On Adaptive Echolocation Applied To A Multi Objective Version Of The Redundancy Allocation Problem, Karla Rocio Gutierrez
Development Of A New Evolutionary Algorithm Based On Adaptive Echolocation Applied To A Multi Objective Version Of The Redundancy Allocation Problem, Karla Rocio Gutierrez
Open Access Theses & Dissertations
The intention of this research is to develop a new algorithm that it is mainly focus in the principle of echolocation or also called biosonar. This principle is active in many animals such as: birds, shrews, dolphins and bats, these last ones are going to be a fundamental part of our study. These animals use it as radar in order to find food, obstacles or just to locate objects.
These animals use ultrasound beams with a certain degree of angle and multiple receivers; such as the two ears that are located slightly apart, so at the time of the returning …
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 …