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Articles 31 - 60 of 216
Full-Text Articles in Industrial Engineering
A Methodology For Data-Driven Decision-Making In Last Mile Delivery Operations, Edgar Gutierrez Franco
A Methodology For Data-Driven Decision-Making In Last Mile Delivery Operations, Edgar Gutierrez Franco
Electronic Theses and Dissertations
Across all industries, from manufacturing to services, decision-makers must deal day to day with the outcomes from past and current decisions that affect their business. Last-mile delivery is the term used in supply chain management to describe the movement of goods from a hub to final destinations. This research proposes a methodology that supports decision making for the execution of last-mile delivery operations in a supply chain. This methodology offers diverse, hybrid, and complementary techniques (e.g., optimization, simulation, machine learning, and geographic information systems) to understand last-mile delivery operations through data-driven decision-making. The hybrid modeling might create better warning systems …
Stochastic Optimization And Applications With Endogenous Uncertainties Via Discrete Choice Models, Mengnan Chen
Stochastic Optimization And Applications With Endogenous Uncertainties Via Discrete Choice Models, Mengnan Chen
Electronic Theses and Dissertations
Stochastic optimization is an optimization method that solves stochastic problems for minimizing or maximizing an objective function when there is randomness in the optimization process. In this dissertation, various stochastic optimization problems from the areas of Manufacturing, Health care, and Information Cascade are investigated in networks systems. These stochastic optimization problems aim to make plan for using existing resources to improve production efficiency, customer satisfaction, and information influence within limitation. Since the strategies are made for future planning, there are environmental uncertainties in the network systems. Sometimes, the environment may be changed due to the action of the decision maker. …
Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index, Henriette Schoen
Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index, Henriette Schoen
Electronic Theses and Dissertations
The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence of many interrelated solutions to socio-economic problems in an extensively interconnected network, which create value for each other. Such a complex creativity and innovation value-creating network is here called an Innovation Ecosystem (IE). The main objective of this dissertation research is to improve the current understanding of the IE by developing a simulation model that uses …
Methods For Online Feature Selection For Classification Problems, Alaleh Razmjoo
Methods For Online Feature Selection For Classification Problems, Alaleh Razmjoo
Electronic Theses and Dissertations
Online learning is a growing branch of machine learning which allows all traditional data mining techniques to be applied on an online stream of data in real-time. In this dissertation, we present three efficient algorithms for feature ranking in online classification problems. Each of the methods are tailored to work well with different types of classification tasks and have different advantages. The reason for this variety of algorithms is that like other machine learning solutions, there is usually no algorithm which works well for all types of tasks. The first method, is an online sensitivity based feature ranking (SFR) which …
Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality., Hadi Miyanaji
Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality., Hadi Miyanaji
Electronic Theses and Dissertations
Binder jetting additive manufacturing (BJ-AM) technology is a process by which a part is fabricated layer by layer through depositing liquid binder in the designated regions of each layer until the feature is complete. Due to the use of binder in geometry generation, this process possesses various advantages over the other additive manufacturing technologies including the ability to create colored objects via colored binders, lower cost, lack of heat-induced defects, and its potential capability to print a variety of materials such as metals, sands and ceramics. Although the application of the binder jetting process has been recently reported by different …
Tooling For Injection Molding Using Laser-Powder Bed Fusion., Mohith Ram Buxani
Tooling For Injection Molding Using Laser-Powder Bed Fusion., Mohith Ram Buxani
Electronic Theses and Dissertations
Laser-Powder Bed Fusion (L-PBF) has been considered for some time by the injection molding industry for the fabrication of tooling for injection molding in order to address large lead times and costs for tool-making. Computer-aided simulations are also routinely used to evaluate new part and mold designs as well as understanding the effects of material compositions and processing conditions on part quality and overall productivity. However, there remains a significant need to integrate the perspectives from injection molding, 3D printing, metal powders, and component design and process simulation to better utilize LPBF for fabricating tooling required for injection molding. The …
An Agent Based Model To Assess Crew Temporal Variability During U.S. Navy Shipboard Operations, Kevin Muhs
An Agent Based Model To Assess Crew Temporal Variability During U.S. Navy Shipboard Operations, Kevin Muhs
Electronic Theses and Dissertations
Understanding the factors that affect human performance variability as well as their temporal impacts is an essential element in fully integrating and designing complex, adaptive environments. This understanding is particularly necessary for high stakes, time-critical routines such as those performed during nuclear reactor, air traffic control, and military operations. Over the last three decades significant efforts have emerged to demonstrate and apply a host of techniques to include Discrete Event Simulation, Bayesian Belief Networks, Neural Networks, and a multitude of existing software applications to provide relevant assessments of human task performance and temporal variability. The objective of this research was …
Ultrasonic Nondestructive Evaluation Of Metal Additive Manufacturing., Venkata Karthik Nadimpalli
Ultrasonic Nondestructive Evaluation Of Metal Additive Manufacturing., Venkata Karthik Nadimpalli
Electronic Theses and Dissertations
Metal Additive Manufacturing (AM) is increasingly being used to make functional components. One of the barriers for AM components to become mainstream is the difficulty to certify them. AM components can have widely different properties based on process parameters. Improving an AM processes requires an understanding of process-structure-property correlations, which can be gathered in-situ and post-process through nondestructive and destructive methods. In this study, two metal AM processes were studied, the first is Ultrasonic Additive Manufacturing (UAM) and the second is Laser Powder Bed Fusion (L-PBF). The typical problems with UAM components are inter-layer and inter-track defects. To improve the …
Simulation-Based Analysis And Optimization Of The United States Army Performance Appraisal System., Lee A. Evans
Simulation-Based Analysis And Optimization Of The United States Army Performance Appraisal System., Lee A. Evans
Electronic Theses and Dissertations
In this dissertation, a discrete event simulation framework is considered to replicate the dynamics, structure, and regulatory constraints placed on the officers in the U.S. Army. Using performance appraisal data provided by the United States Army Human Resources Command, we create a multi-objective response function that quantifies the human behavior associated with evaluating subordinates. Utilizing simulation-optimization techniques for model validation enables estimating unknown input parameters, such as human behavior, based on historical data. Furthermore, the model allows users to analyze the effects of current constraints on the evaluation system and the effects of proposed personnel policy changes.The effectiveness of the …
Multi Self-Adapting Particle Swarm Optimization Algorithm (Msapso)., Gerhard Koch
Multi Self-Adapting Particle Swarm Optimization Algorithm (Msapso)., Gerhard Koch
Electronic Theses and Dissertations
The performance and stability of the Particle Swarm Optimization algorithm depends on parameters that are typically tuned manually or adapted based on knowledge from empirical parameter studies. Such parameter selection is ineffectual when faced with a broad range of problem types, which often hinders the adoption of PSO to real world problems. This dissertation develops a dynamic self-optimization approach for the respective parameters (inertia weight, social and cognition). The effects of self-adaption for the optimal balance between superior performance (convergence) and the robustness (divergence) of the algorithm with regard to both simple and complex benchmark functions is investigated. This work …
Equivalency Analysis Of Sidestick Controller Modes During Manual Flight, Alex Rummel
Equivalency Analysis Of Sidestick Controller Modes During Manual Flight, Alex Rummel
Electronic Theses and Dissertations
Equivalency analysis is a statistical procedure that can enhance the findings of an analysis of variance in the case when non-significant differences are identified. The demonstration of functional equivalence or the absence of practical differences is useful to designers introducing new technologies to the flight deck. Proving functional equivalence is an effective means to justify the implementation of new technologies that must be "the same or better" than previous technology. This study examines the functional equivalency of three operational modes of a new active control sidestick during normal operations while performing manual piloting tasks. Data from a between-subjects, repeated-measures simulator …
The Relationship Between Agile Project Management And Project Success Outcomes, Thomas Bergmann
The Relationship Between Agile Project Management And Project Success Outcomes, Thomas Bergmann
Electronic Theses and Dissertations
Agile project management (APM) has recently emerged as a new approach to managing complex projects. Some experts believe that APM will become the standard project management approach used in the 21st century. However, thus far, the role of agility in project management has not been widely investigated. In the recent past, the concept of agility has mainly been applied to software development projects. The literature on agility is still in its early stages, and further research needs to be conducted in new project management domains. This study is intended to determine the impact of the adoption of APM on project …
A Study Of Eeg Signature Associated With Emotional And Stress Responses Due To Cyberbullying, Ashraf Alhujailli
A Study Of Eeg Signature Associated With Emotional And Stress Responses Due To Cyberbullying, Ashraf Alhujailli
Electronic Theses and Dissertations
The human brain processes vital information regarding human feelings. Prior research has focused on the problems of underage bullying, workplace bullying, burnout, mobbing and, most recently, cyberbullying. Scholars have traditionally examined the adverse outcomes of cyberbullying using subjective measures of stress and emotion for decades. However, very few studies examined cyberbullying using objective measures like EEG. The main goal of this study was to explore the relationship between the brain's EEG, expressed by the power spectral density, and emotions and stress due to two types of cyberbullying, specifically: 1) social exclusion, and 2) verbal harassment. This research also examined how …
An Engineering Analytics Based Framework For Computational Advertising Systems, Mengmeng Chen
An Engineering Analytics Based Framework For Computational Advertising Systems, Mengmeng Chen
Electronic Theses and Dissertations
Engineering analytics is a multifaceted landscape with a diversity of analytics tools which comes from emerging fields such as big data, machine learning, and traditional operations research. Industrial engineering is capable to optimize complex process and systems using engineering analytics elements and the traditional components such as total quality management. This dissertation has proven that industrial engineering using engineering analytics can optimize the emerging area of Computational Advertising. The key was to know the different fields very well and do the right selection. However, people first need to understand and be experts in the flow of the complex application of …
A Methodology On Weapon Combat Effectiveness Analytics Using Big Data And Live, Virtual, Or/And Constructive Simulations, Won Jung Ii
Electronic Theses and Dissertations
The Weapon Combat Effectiveness (WCE) analytics is very expensive, time-consuming, and dangerous in the real world because we have to create data from the real operations with a lot of people and weapons in the actual environment. The Modeling and Simulation (M&S) of many techniques is used for overcoming these limitations. Although the era of big data has emerged and achieved a great deal of success in a variety of fields, most WCE research using the Defense Modeling and Simulation (DM&S) techniques were studied without the help of big data technologies and techniques. The existing research has not considered various …
Comparative Analysis Of The Effects Of Virtual Reality Active Video Game And Controller-Free Active Video Game Play On Physiological Response, Perceived Exertion, And Hedonic Experience, Shanon Wooden
Electronic Theses and Dissertations
Over 60% of US adults are overweight or obese. Sedentary lifestyles are considered major contributors to the high rates and increasing prevalence of obesity. Physical activity is a critical component in shifting from sedentary lifestyles. Studies indicate that less than half of U.S. adults meet the CDC/ACSM physical activity recommendations. Interactive video games can increase PA, but no study has yet assessed physiologic effort, hedonics, and perceived exertion for playing immersive virtual reality (VR) and controller-free screen-based active video games (AVGs), compared to treadmill walking and resting. We ran 25 subjects (9 female, 16 male) in 10-minute sessions of five …
A Framework For Prioritizing Opportunities Of Improvement In The Context Of Business Excellence Model In Healthcare Organization, Alia Aldarmaki
A Framework For Prioritizing Opportunities Of Improvement In The Context Of Business Excellence Model In Healthcare Organization, Alia Aldarmaki
Electronic Theses and Dissertations
In today's world, the healthcare sector is facing challenges to improve the efficiency and effectiveness of its operations. More and more improvement projects are being adopted to enhance healthcare services, making it more patient-centric, and enabling better cost control. Healthcare organizations strive to identify and carry out such improvement initiatives to sustain their businesses and gain competitive advantage. Seeking to reach a higher operational level of excellence, healthcare organizations utilize business excellence criteria to conduct assessment and identify organizational strengths and weaknesses. However, while such assessments routinely identify numerous areas for potential improvement, it is not feasible to conduct all …
Development Of An Mrm Federation System Using Cots Simulations, Jaeho Kim
Development Of An Mrm Federation System Using Cots Simulations, Jaeho Kim
Electronic Theses and Dissertations
The goal of this research is to build an experimental environment for the Simulation Interoperability Laboratory (SIL) of the University of Central Florida (UCF). The Simulation Interoperability Laboratory (SIL) is researching about multi-resolution modeling(MRM), with a focus on military field uses. This thesis proposes steps to develop an MRM federation system and build two different MRM systems using COTS simulations (SIMBox, VR-Forces, and MASA Sword). This report is written to provide the basis for a time-based MRM federation study in the Simulation Interoperability Laboratory. The report describes many definitions and notions related to Multi-Resolution Modeling(MRM) and discusses examples to make …
Performance Analysis Of Organizations As Complex Systems., William C. Harrington Jr.
Performance Analysis Of Organizations As Complex Systems., William C. Harrington Jr.
Electronic Theses and Dissertations
This dissertation provides a method for evaluating the difference in performance after an organization makes a change while considering the stochastic nature in which it operates. A procedure that uses simulation to estimate outcomes by adjusting controllable parameters and leaving uncontrolled parameters unadjusted is proposed. As healthcare organizations are considered as highly complex systems, a case study involving a scheduling tactic change in the mother-baby service line of a hospital is used to demonstrate application of this procedure. The goal in the case study was to reduce delays in transitioning care of mother patients from the labor and delivery unit …
A Multi-Period Facility Location Model For Service Organizations Operating In A Competitive Environment., Sven W. Brose
A Multi-Period Facility Location Model For Service Organizations Operating In A Competitive Environment., Sven W. Brose
Electronic Theses and Dissertations
This thesis develops a multi-period, mathematical programming location model for facilities operating in a competitive environment. The objective is to maximize the profit in a variable demand environment. The solution of the problem can either be done in a robust or in a dynamic manner. A robust solution methodology forecasts the demand for all the periods in the planning horizon and provides a robust solution that may be suboptimal for any given period, but optimal when all the periods are taken into consideration. A problem with this approach is that it requires accurate forecast of demand for multiple periods into …
The Effect Of Role Assignment And Personality Subtypes In Simulation On Critical Thinking Development, Situation Awareness, And Perceived Self-Efficacy Of Nursing Baccalaureate Students., Dustin Travis Weiler
The Effect Of Role Assignment And Personality Subtypes In Simulation On Critical Thinking Development, Situation Awareness, And Perceived Self-Efficacy Of Nursing Baccalaureate Students., Dustin Travis Weiler
Electronic Theses and Dissertations
Previous studies have evaluated the effectiveness of high fidelity patient simulators (HFPS) on nursing training. However, a gap exists on the effects of role assignment and student personality subtypes in simulation scenarios. This thesis explored the effects of role assignment and personality on critical thinking, situation awareness, and self-efficacy in baccalaureate-level nursing students. Using researcher-developed tools and altering previously validated tools to fit the simulation scenario, the effects of role assignment and personality were determined. Role assignment and personality were found to have a significant effect on critical thinking and self-efficacy, but not situation awareness. It was determined that roles …
Investigation Of Influential Factors On Selecting An Engineering Major., Paige A. Miller
Investigation Of Influential Factors On Selecting An Engineering Major., Paige A. Miller
Electronic Theses and Dissertations
This thesis evaluates the factors that freshman engineering students at the University of Louisville are taking into consideration when deciding on their major within engineering. The outcome of the research is expected to help to shape the syllabus of the ENGR 110 course, which is a mandatory class for all freshman engineering students. ENGR 110 is comprised of course lectures, department presentations, and company presentations. Currently, both the department and company presentations are held outside of course times. The influential factors identified by this research may help shape the course so that these factors are discussed thoroughly about each major …
Optimization Approaches For Electricity Generation Expansion Planning Under Uncertainty, Yiduo Zhan
Optimization Approaches For Electricity Generation Expansion Planning Under Uncertainty, Yiduo Zhan
Electronic Theses and Dissertations
In this dissertation, we study the long-term electricity infrastructure investment planning problems in the electrical power system. These long-term capacity expansion planning problems aim at making the most effective and efficient investment decisions on both thermal and wind power generation units. One of our research focuses are uncertainty modeling in these long-term decision-making problems in power systems, because power systems' infrastructures require a large amount of investments, and need to stay in operation for a long time and accommodate many different scenarios in the future. The uncertainties we are addressing in this dissertation mainly include demands, electricity prices, investment and …
A Framework For Measuring Return On Investment For Healthcare Simulation-Based Training, Hatim Bukhari
A Framework For Measuring Return On Investment For Healthcare Simulation-Based Training, Hatim Bukhari
Electronic Theses and Dissertations
In the healthcare sector, providing high-quality service in a safe environment for both patient and staff is an obvious and ultimate major objective. Training is an essential component for achieving this important objective. Most organizations acknowledge that employee simulation-based training programs are an important part of the human capital strategy, yet few have effectively succeeded in quantifying the real and precise ROI of this type of investment. Therefore, if the training is perceived as a waste of resources and its ROI is not clearly recognized, it will be the first option to cut when the budget cut is needed. The …
Weighting Policies For Robust Unsupervised Ensemble Learning, Ramazan Unlu
Weighting Policies For Robust Unsupervised Ensemble Learning, Ramazan Unlu
Electronic Theses and Dissertations
The unsupervised ensemble learning, or consensus clustering, consists of finding the optimal com- bination strategy of individual partitions that is robust in comparison to the selection of an algorithmic clustering pool. Despite its strong properties, this approach assigns the same weight to the contribution of each clustering to the final solution. We propose a weighting policy for this problem that is based on internal clustering quality measures and compare against other modern approaches. Results on publicly available datasets show that weights can significantly improve the accuracy performance while retaining the robust properties. Since the issue of determining an appropriate number …
An Sos Conceptual Model, Lvc Simulation Framework, And A Prototypical Implementation Of Unmanned System Interventions For Nuclear Power Plant Disaster Preparedness, Response, And Mitigation, Matthew Davis
Electronic Theses and Dissertations
Nuclear power plant disasters can have severe and far-reaching consequences, thus emergency managers and first responders from utility owners to the DoD must be prepared to respond to and mitigate effects protecting the public and environment from further damage. Rapidly emerging unmanned systems promise significant improvement in response and mitigation of nuclear disasters. Models and simulations (M&S) may play a significant role in improving readiness and reducing risks through its use in planning, analysis, preparation training, and mitigation rehearsal for a wide spectrum of derivate scenarios. Legacy nuclear reactor M&S lack interoperability between themselves and avatar or agent-based simulations of …
Investigating The Impact Of Levels Of Experience On Workload During Nuclear Power Plant Operations, Jonathan Harris
Investigating The Impact Of Levels Of Experience On Workload During Nuclear Power Plant Operations, Jonathan Harris
Electronic Theses and Dissertations
The human-machine interface (HMI) of a Nuclear Power Plant (NPP) Main Control Room (MCR) is complex. Understanding HMI factors that influence Reactor Operator (RO) performance and workload when controlling an NPP is important. The Nuclear Regulatory Commission (NRC) began a program of research known as the Human Performance Test Facility (HPTF) with the goal of collecting human performance data to better understand cognitive and physical elements that support safe control room operation. The HPTF team developed an experimental methodology to evaluate workload using perceived ratings, performance measures, and physiological correlates. This methodology focuses on tasks commonly performed during operations in …
Design Of A Framework For Sharing And Generating Combat Damage Assessment(Cda) Of A Hla/Rti Federation, Hongseon Park
Design Of A Framework For Sharing And Generating Combat Damage Assessment(Cda) Of A Hla/Rti Federation, Hongseon Park
Electronic Theses and Dissertations
In this paper, a new framework for sharing Combat Damage Assessment(CDA) is proposed to find out the differences of each CDA system between military combat units belonging to their own federate in a HLA/RTI federation. When there are engagements in a battle among combat units belonging to their own federate in the HLA/RTI federation, each result of damage assessments is very different. This affects the HLA/RTI federation’s confidence and needed to be overcome because it is also one of the major issues to generate reliable engagement data. Also, a RTI can generate only qualitative data about combat damage while quantitative …
A Framework For Lean Transformation In Developing Countries: The Case Of Saudi Arabian Industry, Murad Andejany
A Framework For Lean Transformation In Developing Countries: The Case Of Saudi Arabian Industry, Murad Andejany
Electronic Theses and Dissertations
Lean is a dynamic, knowledge-driven, and customer focused philosophy that continuously eradicates waste and generates value, with a goal to improve a company's productivity, efficiency, and quality. Successful implementation of lean does not only offer cost reduction and improved quality and productivity, but also provides efficient guidance for organizations to attain significant and continued growth. Although its adoption by companies has proven successful in developed countries, there is no sufficient evidence of its successful implementation in developing countries such as Saudi Arabia. A review of the literature indicates that there is a need to study lean transformation in developing countries …
Dynamic Job-Shop Scheduling Program (Djsp) Analysis For Preventive Military Helicopter Maintenance System (Pms), Kyungjin Park
Dynamic Job-Shop Scheduling Program (Djsp) Analysis For Preventive Military Helicopter Maintenance System (Pms), Kyungjin Park
Electronic Theses and Dissertations
Republic of Korea Army(ROKA) has been founding new attack helicopter troops since last year by adopting US main attack helicopter, AH-64E Apache, and peripheral system like pilots and mechanics training systems and their organization. The AH-64E Apache is a major attack helicopter of the US Army and all of its systems are verified in terms of the effectiveness in real operations for several decades. However, ROKA still needs their own version of systems including tactics, template, and maintenance which are suitable for Korean terrain, climate, personnel, and so on. At least ROKA needs to have a chance to verify that …