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Articles 1 - 30 of 178
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He
Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He
Journal of International Technology and Information Management
This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in …
Table Of Contents Jitim Vol 27 Issue 3, 2018
Table Of Contents Jitim Vol 27 Issue 3, 2018
Journal of International Technology and Information Management
Table of Contents
Classifying Interdependencies In The Food And Agriculture Critical Infrastructure Sector, John Doerpinghaus
Classifying Interdependencies In The Food And Agriculture Critical Infrastructure Sector, John Doerpinghaus
Graduate Theses and Dissertations
This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An …
Real-Time Heuristics And Metaheuristics For Static And Dynamic Weapon Target Assignments, Alexander G. Kline
Real-Time Heuristics And Metaheuristics For Static And Dynamic Weapon Target Assignments, Alexander G. Kline
Theses and Dissertations
The problem of targeting and engaging individual missiles (targets) with an arsenal of interceptors (weapons) is known as the weapon target assignment problem. This problem has been well-researched since the seminal work in 1958. There are two distinct categories of the weapon target assignment problem: static and dynamic. The static weapon target assignment problem considers a single instance in which a known number of incoming missiles is to be engaged with a finite number of interceptors. By contrast, the dynamic weapon target assignment problem considers either follow on engagement(s) should the first engagement(s) fail, a subsequent salvo of incoming missiles, …
Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey
Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey
Student Research
Over the last few years, the state of Oklahoma has been looking at ways to reduce expenses to address concerns about a budget deficit. There have been efforts made to reduce expenses due to the use of energy. It has been said, when the lights are on, work is getting done. Running lights is therefore the cost of doing business. Our research examines the question, “is there a way to provide better lighting while operating at a lower cost.” This research examines the current lighting at Southwestern State University, primarily fluorescent lighting (FL), and a cost benefit analysis of switching …
A Mathematical Framework On Machine Learning: Theory And Application, Bin Shi
A Mathematical Framework On Machine Learning: Theory And Application, Bin Shi
FIU Electronic Theses and Dissertations
The dissertation addresses the research topics of machine learning outlined below. We developed the theory about traditional first-order algorithms from convex opti- mization and provide new insights in nonconvex objective functions from machine learning. Based on the theory analysis, we designed and developed new algorithms to overcome the difficulty of nonconvex objective and to accelerate the speed to obtain the desired result. In this thesis, we answer the two questions: (1) How to design a step size for gradient descent with random initialization? (2) Can we accelerate the current convex optimization algorithms and improve them into nonconvex objective? For application, …
A Sysml Trade Study Of A Large-Scale Liquid Hydrogen Storage Tank With Zero Boiloff, Justin Conner
A Sysml Trade Study Of A Large-Scale Liquid Hydrogen Storage Tank With Zero Boiloff, Justin Conner
Von Braun Symposium Student Posters
No abstract provided.
Network Design For In-Motion Wireless Charging Of Electric Vehicles: Models And Algorithms, Mamdouh Mubarak
Network Design For In-Motion Wireless Charging Of Electric Vehicles: Models And Algorithms, Mamdouh Mubarak
Operations Research and Engineering Management Theses and Dissertations
The aim of this research is to study the optimal deployment of wireless charging stations (WCS) in urban transportation networks. It is widely acknowledged that the relatively short driving range of EV and the long battery charging times collectively lead to a phenomenon known as "range anxiety" of EV drivers. This phenomenon remains to be the major factor that hampers EV adoption. Thus, in this dissertation, we study a cost-effective deployment plan of WCSs that facilitates EV adoption by alleviating the two major causes of the “range anxiety” phenomenon.
In the first part of this dissertation, we propose a deployment …
Maximizing Financial Benefit Of Lean Six Sigma Projects Through Optimized Selection Criteria, Colin Wasiloff
Maximizing Financial Benefit Of Lean Six Sigma Projects Through Optimized Selection Criteria, Colin Wasiloff
Operations Research and Engineering Management Theses and Dissertations
As evolving threats across the globe keep pace with increasing budget constraints, the US Army’s major subordinate commands and their sub-organizations are constantly challenged to do more with less. Resources such as human capital, information technology, facilities, and budgeted funding are stretched as thin as ever, while requirements to serve the Warfighter remain paramount. Each dollar of financial benefit gained through cost reduction efforts at the US Army can affect the Warfighter directly. Budgeted money saved or avoided is reprogrammed both locally and atop the hierarchy at the Department of Treasury to serve the Warfighter better.
Ordinal Logistic Regression was …
Operational Squadron Scheduling, Khaled A. Almannaei
Operational Squadron Scheduling, Khaled A. Almannaei
Theses and Dissertations
The 28th Operational Weather Squadron (28th OWS) is responsible for producing and disseminating mission planning and execution weather analyses and forecasts. The squadron must prepare schedules that meet the needs of their mission while dealing with real-world constraints such as time windows, task priorities, and intermittent recurring missions. The 28th OWS's manning consists of active duty, deployed in-place, reserve, civilian and contract personnel. In this research, a scheduling model and algorithm are provided as an approach to crew scheduling for the 28th Operational Weather Squadron. Scheduling in the 28th OWS is complex and can be time consuming. This model will …
Generating Strong Diversity Of Opinions: Agent Models Of Continuous Opinion Dynamics, Christopher W. Weimer
Generating Strong Diversity Of Opinions: Agent Models Of Continuous Opinion Dynamics, Christopher W. Weimer
Theses and Dissertations
Opinion dynamics is the study of how opinions in a group of individuals change over time. A goal of opinion dynamics modelers has long been to find a social science-based model that generates strong diversity -- smooth, stable, possibly multi-modal distributions of opinions. This research lays the foundations for and develops such a model. First, a taxonomy is developed to precisely describe agent schedules in an opinion dynamics model. The importance of scheduling is shown with applications to generalized forms of two models. Next, the meta-contrast influence field (MIF) model is defined. It is rooted in self-categorization theory and improves …
Methods To Support The Project Selection Problem With Non-Linear Portfolio Objectives, Time Sensitive Objectives, Time Sensitive Resource Constraints, And Modeling Inadequacies, Neil C. Ranly
Theses and Dissertations
The United States Air Force relies upon information production activities to gain insight regarding uncertainties affecting important system configuration and in-mission task execution decisions. Constrained resources that prevent the fulfillment of every information production request, multiple information requestors holding different temporal-sensitive objectives, non-constant marginal value preferences, and information-product aging factors that affect the value-of-information complicate the management of these activities. This dissertation reviews project selection research related to these issues and presents novel methods to address these complications. Quantitative experimentation results demonstrate these methods’ significance.
The Military Inventory Routing Problem: Utilizing Heuristics Within A Least Squares Temporal Differences Algorithm To Solve A Multiclass Stochastic Inventory Routing Problem With Vehicle Loss, Ethan L. Salgado
Theses and Dissertations
Military commanders currently resupply forward operating bases (FOBs) from a central location within an area of operations mainly via convoy operations in a way that closely resembles vendor managed inventory practices. Commanders must decide when and how much inventory to distribute throughout their area of operations while minimizing soldier risk. Technology currently exists that makes utilizing unmanned cargo aerial vehicles (CUAVs) for resupply an attractive alternative due to the dangers of utilizing convoy operations. Enemy actions in wartime environments pose a significant risk to a CUAV's ability to safely deliver supplies to a FOB. We develop a Markov decision process …
Multi-Level Multi-Objective Programming And Optimization For Integrated Air Defense System Disruption, Aaron M. Lessin
Multi-Level Multi-Objective Programming And Optimization For Integrated Air Defense System Disruption, Aaron M. Lessin
Theses and Dissertations
The U.S. military's ability to project military force is being challenged. This research develops and demonstrates the application of three respective sensor location, relocation, and network intrusion models to provide the mathematical basis for the strategic engagement of emerging technologically advanced, highly-mobile, Integrated Air Defense Systems. First, we propose a bilevel mathematical programming model for locating a heterogeneous set of sensors to maximize the minimum exposure of an intruder's penetration path through a defended region. Next, we formulate a multi-objective, bilevel optimization model to relocate surviving sensors to maximize an intruder's minimal expected exposure to traverse a defended border region, …
Optimization And Management Techniques For Geo-Distributed Sdn-Enabled Cloud Datacenters' Provisioning, Khaled M. Alhazmi
Optimization And Management Techniques For Geo-Distributed Sdn-Enabled Cloud Datacenters' Provisioning, Khaled M. Alhazmi
Electronic Thesis and Dissertation Repository
Cloud computing has become a business reality that impacts technology users around the world. It has become a cornerstone for emerging technologies and an enabler of future Internet services as it provides on-demand IT services delivery via geographically distributed data centers. At the core of cloud computing, virtualization technology has played a crucial role by allowing resource sharing, which in turn allows cloud service providers to offer computing services without discrepancies in platform compatibility.
At the same time, a trend has emerged in which enterprises are adopting a software-based network infrastructure with paradigms, such as software-defined networking, gaining further attention …
Analysis Of Shanghai Aviation Hub Logistics Competitiveness, Tuo Chen
Analysis Of Shanghai Aviation Hub Logistics Competitiveness, Tuo Chen
World Maritime University Dissertations
No abstract provided.
Assessment And Comparison Of Aviation Manufacturing Industries Throughout Mexico And Brazil, Omar E. Morsi, Kelly A. Whealan-George, Aaron D. Clevenger
Assessment And Comparison Of Aviation Manufacturing Industries Throughout Mexico And Brazil, Omar E. Morsi, Kelly A. Whealan-George, Aaron D. Clevenger
Aaron D. Clevenger
This literature review serves to provide insight and understanding in regards to the evolving aviation manufacturing industry throughout the globe and more specifically, Mexico and Brazil. Increased demand for aircraft units both in the commercial and private sectors have led to unprecedented expansions in aircraft manufacturing across the industry. In order to illuminate certain potentials and current growth levels of such industries, this review will delve into an array of information and specifications in regards to economic, political, and cultural influences throughout both Mexican and Brazilian markets respectively. In conclusion, the review will identify the transformation of an aviation manufacturing …
Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand
Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Increasing pushes toward next-generation/smart manufacturing motivate the development of economic model predictive control (EMPC) designs which can be practically deployed. For EMPC, the constraints, objective function, and accuracy of the state predictions would benefit from process models that describe the process physics. However, obtaining first- principles models of chemical process systems can be time-consuming or challenging such that it is preferable to develop physics-based process models automatically from process operating data. In this work, we take initial steps in this direction by suggesting that because experiments that are used to characterize first-principles models often target specific types of data, an …
Modeling And Solution Approaches For Non-Traditional Network Flow Problems With Complicating Constraints, Negin Enayaty Ahangar
Modeling And Solution Approaches For Non-Traditional Network Flow Problems With Complicating Constraints, Negin Enayaty Ahangar
Graduate Theses and Dissertations
In this dissertation, we model three network-based optimization problems. Chapter 2 addresses the question of what the operation plan should be for interdependent infrastructure systems in resource-constrained environments so that they collectively operate at the highest level. We develop a network-based operation model of these systems that accounts for interdependencies among them. To solve this large-scale model, a solution approach is proposed that relatively quickly generates high-quality solutions to the problem.
Chapter 3 presents a routing model for a single train within a railyard with the objective of minimizing the total length traveled by train. The difference between this problem …
Barge Prioritization, Assignment, And Scheduling During Inland Waterway Disruption Responses, Liliana Delgado-Hidalgo
Barge Prioritization, Assignment, And Scheduling During Inland Waterway Disruption Responses, Liliana Delgado-Hidalgo
Graduate Theses and Dissertations
Inland waterways face natural and man-made disruptions that may affect navigation and infrastructure operations leading to barge traffic disruptions and economic losses. This dissertation investigates inland waterway disruption responses to intelligently redirect disrupted barges to inland terminals and prioritize offloading while minimizing total cargo value loss. This problem is known in the literature as the cargo prioritization and terminal allocation problem (CPTAP). A previous study formulated the CPTAP as a non-linear integer programming (NLIP) model solved with a genetic algorithm (GA) approach. This dissertation contributes three new and improved approaches to solve the CPTAP.
The first approach is a decomposition …
Configuring Traditional Multi-Dock, Unit-Load Warehouses, Mahmut Tutam
Configuring Traditional Multi-Dock, Unit-Load Warehouses, Mahmut Tutam
Graduate Theses and Dissertations
The development of expected-distance formulas for multi-dock-door, unit-load warehouse configurations is the focus of the dissertation. From formulations derived, the width-to-depth ratios minimizing expected distances are obtained for rectangle-shaped, unit-load warehouse configurations. Partitioning the storage region in the warehouse into three classes, the performance of a multi-dock-door, unit-load warehouse is studied when storage regions can be either rectangle-shaped or contour-line-shaped. Our first contribution is the development of formulas for expected distance traveled in storing and retrieving unit loads in a rectangle-shaped warehouse having multiple dock doors along one warehouse wall and storage racks aligned perpendicular to that wall. Two formulations …
Solving School Bus Routing And Student Assignment Problems With Heuristic And Column Generation Approach., Di Zhang
Electronic Theses and Dissertations
In this dissertation, we solve a school bus routing problem of transporting students including special education (handicapped) students and assigning them in Oldham county education district. The main contribution of this research is that we consider special education students (Type-2) along with other students (Type-1) and design a comprehensive school bus schedule to transport both kinds of students at the same time. Also, a student assignment mathematical model is presented to optimize the number of bus stops in use as well as one important measure of service quality, the total student walking distance. Comparing to the classic clustering methods, heuristic …
Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser
Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser
Electronic Theses and Dissertations
In business-to-business logistical sourcing events, companies regularly use a bidding process known as tendering in the procurement of transportation services from third-party providers. Usually in the form of an auction involving a single buyer and one or more sellers, the buyer must make decisions regarding with which suppliers to partner and how to distribute the transportation lanes and volume among its suppliers; this is equivalent to solving the optimization problem commonly referred to as the Winner Determination Problem. In order to take into account the complexities inherent to the procurement problem, such as considering a supplier’s network, economies of scope, …
Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami
Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami
International Material Handling Research Colloquium
Poster 27
Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher
Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher
International Material Handling Research Colloquium
Poster 12
Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon Mcginnis
Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon Mcginnis
International Material Handling Research Colloquium
Poster 31
On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu
On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu
International Material Handling Research Colloquium
Poster 6
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
International Material Handling Research Colloquium
Poster 30
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
International Material Handling Research Colloquium
Poster 26
Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger
Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger
International Material Handling Research Colloquium
Poster 20