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Graduate Theses and Dissertations

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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Performance Archery Shooting, Hunter Sabers Jan 2019

Performance Archery Shooting, Hunter Sabers

Graduate Theses and Dissertations

Bows and arrows can be traced all the way back to 65,000 BC and have evolved from a tool used for hunting, to a tool for war, and today used by hobbyists in competition. The evolution of this technology has progressed for the most part without an understanding of the effect it has on humans. The present study aims to connect how technology effects humans specifically looking at archery. The study measured the muscle activity in the bow arm of the archer and the vibration experienced on the bow arm of the archer during the shooting process. From those ...


A Top-Down Human-Centered Approach To Exoskeleton Design, Thomas Michael Schnieders Jan 2019

A Top-Down Human-Centered Approach To Exoskeleton Design, Thomas Michael Schnieders

Graduate Theses and Dissertations

This dissertation begins, as all good research does, with a thorough review of the literature. The literature is broken into three primary sections covering the early 1960’s when information on exoskeletons was first published up to 1970, then the formative years of 1970 to 2000 where much of the primary technology was developed, and finally 2000 to present where new advancements in battery density, computer processing, and materials leads to more robust and advanced exoskeleton designs. The literature review determines the areas where there is a dearth of research or places needing further examination and lays the groundwork for ...


Statistical Monitoring Of Queuing Networks, Yaren Bilge Kaya Oct 2018

Statistical Monitoring Of Queuing Networks, Yaren Bilge Kaya

Graduate Theses and Dissertations

Queuing systems are important parts of our daily lives and to keep their operations at an efficient level they need to be monitored by using queuing Performance Metrics, such as average queue lengths and average waiting times. On the other hand queue lengths and waiting times are generally random variables and their distributions depend on different properties like arrival rates, service times, number of servers. We focused on detecting the change in service rates in this report. Therefore, we monitored queues by using Cumulative Sum(CUSUM) charts based on likelihood ratios and compared the Average Run Length values of different ...


Physical And Social Systems Resilience Assessment And Optimization, Daniel Romero Rodriguez May 2018

Physical And Social Systems Resilience Assessment And Optimization, Daniel Romero Rodriguez

Graduate Theses and Dissertations

Resilience has been measured using qualitative and quantitative metrics in engineering,economics, psychology, business, ecology, among others. This dissertation proposes a resilience metric that explicitly incorporates the intensity of the disruptive event to provide a more accurate estimation of system resilience. A comparative analysis between the proposed metric and average performance resilience metrics for linear and nonlinear loss and recovery functions suggests that the new metric enables a more objective assessment of resilience for disruptions with different intensities. Moreover, the proposed metric is independent of a control time parameter. This provides a more consistent resilience estimation for a given system ...


User-Packaging Interaction (Upi): A Comprehensive Research Platform And Techniques For Improvement, Evaluation, And Design, Ahmad Abdelhafiz Mumani Jan 2018

User-Packaging Interaction (Upi): A Comprehensive Research Platform And Techniques For Improvement, Evaluation, And Design, Ahmad Abdelhafiz Mumani

Graduate Theses and Dissertations

Users are expected to interact with their packages through product life cycles with either good or bad experiences, depending on packaging design, which can be characterized by physical and verbal features, such as size, shape, symbols, picture, etc. User packaging interaction (UPI) field has evolved with the aim to provide user-friendly packages, which support performing tasks such as, opening, handling, disposing, and checking-out. A great deal of work addressing issues, related to packaging, and suggesting potential improvements has been directed toward UPI. However, this work is not easily accessible to researchers as it lacks a cohesive structure of UPI stages ...


Interaction Of Optimization Models And Information Sharing In A Two Echelon Supply Chain, Preetam Kulkarni Jan 2018

Interaction Of Optimization Models And Information Sharing In A Two Echelon Supply Chain, Preetam Kulkarni

Graduate Theses and Dissertations

Uncertainty in the manufacturing industry has been a research interest for many years. Deterministic and stochastic optimization methods have been proposed in the past. The objective of this thesis is to study the interaction of these models in a supply chain with a varying error in demand forecast. All the possible combinations of the optimization strategies in a two-echelon supply chain have been considered. Results indicate that the performance of the supply chain is driven by the choice of strategy of the supplier. Stochastic optimization is very efficient in lowering the operational costs and bull-whip effect in most cases. However ...


Cognitive Skill Degradation: Analysis And Evaluation In Flight Planning, Katherine Mary Volz Jan 2018

Cognitive Skill Degradation: Analysis And Evaluation In Flight Planning, Katherine Mary Volz

Graduate Theses and Dissertations

The objective of this work was to identify the cognitive skills needed in flight planning and evaluate how they degrade over time. Cognitive skill degradation has been identified as a potential issue in information automation systems that manage and present relevant information to the flight crew. Much as physical piloting skills can degrade over time due to lack of practice, the cognitive skills associated with many aviation tasks may degrade over time if these skills have been automated and pilots no longer have a chance to practice them. To further evaluate cognitive skill degradation in information automation, two studies were ...


Optimization Of Job Shop Scheduling With Material Handling By Automated Guided Vehicle, Shiyang Huang Jan 2018

Optimization Of Job Shop Scheduling With Material Handling By Automated Guided Vehicle, Shiyang Huang

Graduate Theses and Dissertations

Job Shop Scheduling with Material Handling has attracted increasing attention in both industry and academia, especially with the inception of Industry 4.0 and smart manufacturing. A smart manufacturing system calls for efficient and effective production planning. On a typical modern shop floor, jobs of various types follow certain processing routes through machines or work centers, and automated guided vehicles (AGVs) are utilized to handle the jobs. In this research, the optimization of a shop floor with AGV is carried out, and we also consider the planning scenario under variable processing time of jobs. The goal is to minimize the ...


Real Options Models And Analyses For Energy Transportation Systems With Jump And Diffusion Processes: Electric Power Transmission Planning And Fuel-Carrying Ship Design, Fikri Kucuksayacigil Jan 2018

Real Options Models And Analyses For Energy Transportation Systems With Jump And Diffusion Processes: Electric Power Transmission Planning And Fuel-Carrying Ship Design, Fikri Kucuksayacigil

Graduate Theses and Dissertations

Investments in transportation sector have arisen as significant problems due to the substantial cost of maintaining required level of service. Energy transportation draws a particular attention. In this dissertation, we focus on two special forms of energy transportation problems. On the one hand, we study the quantification of value of expansion investments in high-voltage power lines. On the other hand, we quantify the value of expansion of capacities for U.S. Navy transportation ships. Problems are subject to severe uncertainties being in the form of smooth changes and discrete disruptions. We use geometric Brownian motion and Poisson arrival processes to ...


A Multiple Decision-Maker Approach To Allocating Resources To Prepare And Respond To Major Disruptions, Brandon Joe Landowski Jan 2018

A Multiple Decision-Maker Approach To Allocating Resources To Prepare And Respond To Major Disruptions, Brandon Joe Landowski

Graduate Theses and Dissertations

Disruptions are significant events that cause a disturbance in the normal operations of communities and can result in thousands of fatalities, millions of dollars lost, and significant infrastructure and ecological damage. It is difficult to model the different decision makers in a disruption and express the decisions made in a form that all decision makers understand and can act upon. In disruption response planning, it is necessary to have specific allocation strategies in place, rather than just a set of guidelines, so that budgets can be created, and effective distribution pathways can be established. Therefore, models need to incorporate both ...


Investment Decision-Making In Clean Energy Under Uncertainties: A Real Options Approach, Yihua Li Jan 2018

Investment Decision-Making In Clean Energy Under Uncertainties: A Real Options Approach, Yihua Li

Graduate Theses and Dissertations

International commitments on emission reduction and the deterioration of fossil energy resources have caused more research attention to clean energy production. Getting the optimal investment portfolio in infrastructure for energy supply and consumption is a minimum requirement to enable the transition towards a sustainable energy system. Due to their environmental benefits, advanced biofuel and clean power generation are expected to play an important role in the future in transportation sector and electricity sector, respectively. In this dissertation, a real options approach is adopted for valuating clean technology investment portfolios under uncertainty, exploring managerial insights, and examining policy implications. The dissertation ...


An Evaluation Of The Microsoft Hololens For A Manufacturing-Guided Assembly Task, Melynda Hoover Jan 2018

An Evaluation Of The Microsoft Hololens For A Manufacturing-Guided Assembly Task, Melynda Hoover

Graduate Theses and Dissertations

Many studies have confirmed the benefits of using Augmented Reality (AR) work instructions over traditional digital or paper instructions, but few have compared the effects of different AR hardware for complex assembly tasks. For this research, previously published data using Desktop Model Based Instructions (MBI), Tablet MBI, and Tablet AR instructions were compared to new assembly data collected using AR instructions on the Microsoft HoloLens Head Mounted Display (HMD). Participants completed a mock wing assembly task, and measures like completion time, error count, Net Promoter Score, and qualitative feedback were recorded. The HoloLens condition yielded faster completion times than all ...


The Implication Of Rapid Technologies On The Design Process, Esra'a Abdel-All Jan 2018

The Implication Of Rapid Technologies On The Design Process, Esra'a Abdel-All

Graduate Theses and Dissertations

This dissertation focuses on the challenges of design and additive manufacturing (AM). It considers the challenges that such a freeform manufacturing process can have on design freedom. Much of the current literature is focused on this design freedom only as a positive, and work to improve design-for-AM, and how to better exploit the technology. On the contrary, this work looks at how that design freedom can be a challenge if and when a move from AM to a more conventional process is needed. The work is broken into three studies related to the implication of rapid technologies on the design ...


Investigation On Selected Factors Causing Variability In Additive Manufactured Parts, Anusha Velineni Jan 2018

Investigation On Selected Factors Causing Variability In Additive Manufactured Parts, Anusha Velineni

Graduate Theses and Dissertations

Additive Manufacturing (AM) is known for its ability to manufacture complex parts layer by layer using 3D design data. AM brings significant freedom in design, yet it can get hard to produce the same parts with identical dimensional tolerances, a.k.a. reproducibility problem. Reproducibility, the ability to produce the same part again under same conditions, is one of the major challenges in AM as it plays an important role in the replacement of worn-out/damaged parts in an assembly. Ceramics, metals, alloys, and plastics are being used for the biomedical implants in which the concept of reproducibility is crucial ...


Exploring Households' Weatherization Adoptions: An Agent-Based Approach, Wanyu Huang Jan 2018

Exploring Households' Weatherization Adoptions: An Agent-Based Approach, Wanyu Huang

Graduate Theses and Dissertations

This thesis consists of one submitted journal paper and one modified conference paper, both on simulating residents' weatherization adoption decisions.

Residential buildings are responsible for a large number of energy consumptions and are therefore a major contributor to climate change. Weatherization is set of approaches that can be used to make buildings more energy-efficient. This yields many benefits for residents, including reduced energy costs and improved health and safety, as well as benefits for the environment, such as reducing greenhouse gas emissions and conserving resources. However, the current adoption rate for such a good practice remains low. The government has ...


A Design Framework For Additive Manufacturing Based On The Integration Of Axiomatic Design Approach, Inverse Problem-Solving And An Additive Manufacturing Database, Sarath Chennamkulam Renjith Jan 2018

A Design Framework For Additive Manufacturing Based On The Integration Of Axiomatic Design Approach, Inverse Problem-Solving And An Additive Manufacturing Database, Sarath Chennamkulam Renjith

Graduate Theses and Dissertations

Additive manufacturing has emerged as an integral part of modern manufacturing because of its unique capabilities and has already found its application in various domains like aerospace, automotive, medicine and architecture. In order to take the full advantage of this breakthrough manufacturing technology, it is imperative that practical design frameworks or methodologies are developed and consequently, Design for Additive Manufacturing (DfAM) has risen to provide a set of guidelines during the product design process. The existing DfAM methods have certain limitations in that the additive manufacturing process capabilities are not taken into consideration in the early design stage effectively and ...


A Current State Analysis Of Preventive Control Requirements And Traceability Infrastructure In Small U.S. Food Facilities, Quin Schultz Jan 2018

A Current State Analysis Of Preventive Control Requirements And Traceability Infrastructure In Small U.S. Food Facilities, Quin Schultz

Graduate Theses and Dissertations

In 2011, the U.S. government enacted the Food Safety Modernization Act (FSMA). The goal of the new legislation was to reduce the 48 million people per year in the U.S. who are affected by food borne illnesses through the requirement of preventive controls in food supply chains. Compliance dates for small food businesses started in 2017, when the new preventive control measures were required to be implemented. This research focuses on understanding the current state of FSMA preventive control requirements in relationship to small food facilities. Also, an assessment of the traceability infrastructure within small food facilities was ...


Generalized Weighting For Bagged Ensembles, Hieu Trung Pham Jan 2018

Generalized Weighting For Bagged Ensembles, Hieu Trung Pham

Graduate Theses and Dissertations

Ensemble learning is a popular classification method where many individual simple learners contribute to a final prediction. Constructing an ensemble of learners has been shown to consistently improve prediction accuracy over a single learner. The most common types of ensembles include: bootstrap aggregated (bagged), boosted, and stacked. Each are different, yet has the same foundation of combining multiple learners.

In this dissertation, we focus our attention to bagged ensembles; namely we propose a generalization by way of model weighting. The new method is motivated by the potential instability of averaging predictions of trees that may be of highly variable quality ...


Solution Methods And Bounds For Two-Stage Risk-Neutral And Multistage Risk-Averse Stochastic Mixed-Integer Programs With Applications In Energy And Manufacturing, Ge Guo Jan 2018

Solution Methods And Bounds For Two-Stage Risk-Neutral And Multistage Risk-Averse Stochastic Mixed-Integer Programs With Applications In Energy And Manufacturing, Ge Guo

Graduate Theses and Dissertations

This dissertation presents an integrated method for solving stochastic mixed-integer programs, develops a lower bounding approach for multistage risk-averse stochastic mixed-integer programs, and proposes an optimization formulation for mixed-model assembly line sequencing (MMALS) problems.

It is well known that a stochastic mixed-integer program is difficult to solve due to its non-convexity and stochastic factors. The scenario decomposition algorithms display computational advantage when dealing with a large number of possible realizations of uncertainties, but each has its own advantages and disadvantages. This dissertation presents a solution method for solving large-scale stochastic mixed-integer programs that integrates two scenario-decomposition algorithms: Progressive Hedging (PH ...


Evaluating Manufacturing Energy Consumption For A Part Using Geometry, Alicia M. Guzman Gutierrez Jan 2018

Evaluating Manufacturing Energy Consumption For A Part Using Geometry, Alicia M. Guzman Gutierrez

Graduate Theses and Dissertations

The decisions made during the design process have a significant impact on the manufacturing of a part. Besides technical and functional requirements, designers also weigh in the effects that design geometry, material, and specifications will have on energy consumption. Since most of a part’s sustainability impact is defined during the design process, it is important that engineers consider sustainability throughout the design process. Existing tools that assess the sustainability of designs do not consider the geometric complexity of designs and provide little guidance for engineers to improve designs.

Based on the notion that more complex designs will require more ...


Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal Nov 2017

Improving Service Level Of Free-Floating Bike Sharing Systems, Aritra Pal

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 Jun 2017

Space-Time Transportation System Modelling: From Traveler’S Characteristics To The Network Design Problem, Mohsen Parsafard

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 ...


Analysis Of A Potential A(H7n9) Influenza Pandemic Outbreak In The U.S., Walter A. Silva Sotillo Jun 2017

Analysis Of A Potential A(H7n9) Influenza Pandemic Outbreak In The U.S., Walter A. Silva Sotillo

Graduate Theses and Dissertations

This dissertation presents a collection of manuscripts that describe development of models and model implementation to analyze impact of potential A(H7N9) pandemic influenza outbreak in the U.S. Though this virus is still only animal-to-human transmittable, it has potential to become human-to-human transmittable and trigger a pandemic. This work is motivated by the negative impact on human lives that this virus has already caused in China, and is intended to support public health officials in preparing to protect U.S. population from a potential outbreak of pandemic scale.

An agent-based (AB) simulation model is used to replicate the social ...


Decision Support Models For A Few Critical Problems In Transportation System Design And Operations, Ran Zhang Apr 2017

Decision Support Models For A Few Critical Problems In Transportation System Design And Operations, Ran Zhang

Graduate Theses and Dissertations

Transportation system is one of the key functioning components of the modern society and plays an important role in the circulation of commodity and growth of economy. Transportation system is not only the major influencing factor of the efficiency of large-scale complex industrial logistics, but also closely related to everyone’s daily life. The goals of an ideal transportation system are focused on improving mobility, accessibility, safety, enhancing the coordination of different transportation modals and reducing the impact on the environment, all these activities require sophisticated design and plan that consider different factors, balance tradeoffs and maintaining efficiency. Hence, the ...


Strategies For Reducing Preventable Hospital Readmissions On Medicare Patients, Andres Patricio Garcia-Arce Apr 2017

Strategies For Reducing Preventable Hospital Readmissions On Medicare Patients, Andres Patricio Garcia-Arce

Graduate Theses and Dissertations

The high expenditure of healthcare in the United States (U.S.) does not translate into better quality of care. Indeed, the U.S. healthcare system is recognized by its lack of efficiency and waste (which represents about 20% of the country’s healthcare expenses). Lack of coordination is one of the most referenced causes of waste in the U.S. healthcare system, and preventable hospital readmissions have been acknowledged to be evidence of poor coordination of care. In fiscal year 2013, the Centers for Medicare and Medicaid Services (CMS) established financial penalties for inpatient care reimbursements in hospitals with excessive ...


Optimal Bidding Strategy For A Strategic Power Producer Using Mixed Integer Programming, Sayed Abdullah Sadat Mar 2017

Optimal Bidding Strategy For A Strategic Power Producer Using Mixed Integer Programming, Sayed Abdullah Sadat

Graduate Theses and Dissertations

The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer’s bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool’s operation and guessing the rival producer’s bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties.

First, the ...


Automated Design For Manufacturing And Supply Chain Using Geometric Data Mining And Machine Learning, Michael Jeffrey Daniel Hoefer Jan 2017

Automated Design For Manufacturing And Supply Chain Using Geometric Data Mining And Machine Learning, Michael Jeffrey Daniel Hoefer

Graduate Theses and Dissertations

This thesis presents an automated method for assessing conceptual designs with respect to manufacturing and supply chain, using geometric data mining and machine learning algorithms. It is important for designers to understand how design decisions will impact downstream manufacturing and sourcing. Many critical decisions are made during conceptual design that impact production cost even before detailed design is finalized; however, the effects of these decisions are not known until later. Design for manufacturing and design for supply chain are methods that provide feedback to the user in a way that enables proactive design changes.

A conceptual design is largely defined ...


Learning To Optimize: Training Deep Neural Networks For Wireless Resource Management, Haoran Sun Jan 2017

Learning To Optimize: Training Deep Neural Networks For Wireless Resource Management, Haoran Sun

Graduate Theses and Dissertations

For decades, optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design. However, these algorithms often require a considerable number of iterations for convergence, which poses challenges for real-time processing. In this work, we propose a new learning-based approach for wireless resource management. The key idea is to treat the input and output of a resource allocation algorithm as an unknown non-linear mapping and to use a deep neural network (DNN) to approximate it. If the non-linear mapping can be learned accurately and effectively by a DNN of moderate size, then ...


What Does Decision Making With Intervals Really Assume? The Relationship Between The Hurwicz Decision Rule And Prescriptive Decision Analysis, Sarat Sivaprasad Jan 2017

What Does Decision Making With Intervals Really Assume? The Relationship Between The Hurwicz Decision Rule And Prescriptive Decision Analysis, Sarat Sivaprasad

Graduate Theses and Dissertations

Decision analysis can be defined as a discipline where a decision maker chooses the best alternative by considering the decision maker’s values and preferences and by breaking down a complex decision problem into simple or constituent ones. Decision analysis helps an individual make better decisions by structuring the problem. Non-probabilistic approaches to decision making have been proposed for situations in which an individual does not have enough information to assess probabilities over an uncertainty. One non-probabilistic method is to use intervals in which an uncertainty has a minimum and maximum but nothing is assumed about the relative likelihood of ...


Distributed Nonconvex Optimization: Algorithms And Convergence Analysis, Davood Hajinezhad Jan 2017

Distributed Nonconvex Optimization: Algorithms And Convergence Analysis, Davood Hajinezhad

Graduate Theses and Dissertations

This thesis addresses the problem of distributed optimization and learning over multi-agent networks. Our main focus is to design efficient algorithms for a class of nonconvex problems, defined over networks in which each agent/node only has partial knowledge about the entire problem. Multi-agent nonconvex optimization has gained much attention recently due to its wide applications in big data analysis, sensor networks, signal processing, multi-agent network, resource allocation, communication networks, just to name a few. In this work, we develop a general class of primal-dual algorithms for distributed optimization problems in challenging setups, such as nonconvexity in loss functions, nonsmooth ...