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Quantitative Methods For Select Problems In Facility Location And Facility Logistics, Bin Li 2018 University of Arkansas, Fayetteville

Quantitative Methods For Select Problems In Facility Location And Facility Logistics, Bin Li

Graduate Theses and Dissertations

This dissertation presented three logistics problems. The first problem is a parallel machine scheduling problems that considers multiple unique characteristics including release dates, due dates, limited machine availability and job splitting. The objective of is to minimize the total amount of time required to complete work. A mixed integer programming model is presented and a heuristic is developed for solving the problem. The second problem extends the first parallel scheduling problem to include two additional practical considerations. The first is a setup time that occurs when warehouse staff change from one type of task to another. The second is a …


Effective Resource Utilization In Arkansas Public Schools, Ryan Sanders 2018 University of Arkansas, Fayetteville

Effective Resource Utilization In Arkansas Public Schools, Ryan Sanders

Industrial Engineering Undergraduate Honors Theses

Teacher pay in Arkansas public schools varies widely from district to district across the state. This pay discrepancy is driven by both the funds available to a district and by how these funds are allocated. There is a standard per student budget given to districts across the state, but this budget can be supplemented by additional property taxes collected on property within a district. This leaves districts with more highly valued property at an advantage. Districts are free to allocate their budget for teacher pay as they see fit, with constraints on number of students per teacher and minimum teacher …


Developing An Ergonomic Model And Automation Justification For Industrial Spraying Operations: A Case Study, Anthony Woods 2018 University of Arkansas, Fayetteville

Developing An Ergonomic Model And Automation Justification For Industrial Spraying Operations: A Case Study, Anthony Woods

Industrial Engineering Undergraduate Honors Theses

Industrial spraying tasks prove to be some of the most dull, dirty, and dangerous jobs in the modern day. Although it is a ripe area for automation, justification methods do not typically account for the potential improvements in the ergonomics of a task from automating it. In addition, there is a gap in the ergonomics literature in formal methodologies to comprehensively evaluate an industrial spraying task ergonomically, including all relevant musculoskeletal elements. This research focuses on first developing a formal, comprehensive methodology for ergonomically evaluating industrial spraying tasks and attaining a final classification of the ergonomic ranking of the task. …


Analysis Of Verification And Validation Techniques For Educational Cubesat Programs, Noah Weitz 2018 California Polytechnic State University, San Luis Obispo

Analysis Of Verification And Validation Techniques For Educational Cubesat Programs, Noah Weitz

Master's Theses

Since their creation, CubeSats have become a valuable educational tool for university science and engineering programs. Unfortunately, while aerospace companies invest resources to develop verification and validation methodologies based on larger-scale aerospace projects, university programs tend to focus resources on spacecraft development. This paper looks at two different types of methodologies in an attempt to improve CubeSat reliability: generating software requirements and utilizing system and software architecture modeling. Both the Consortium Requirements Engineering (CoRE) method for software requirements and the Monterey Phoenix modeling language for architecture modeling were tested for usability in the context of PolySat, Cal Poly's CubeSat research …


Transportation And Distribution Of Strategic National Stockpile Supplies In A Public Health Emergency, Olivia A. Goss 2018 University of Arkansas, Fayetteville

Transportation And Distribution Of Strategic National Stockpile Supplies In A Public Health Emergency, Olivia A. Goss

Industrial Engineering Undergraduate Honors Theses

In the event of a public health emergency in the United States, it is important that public

authorities are equipped to distribute medical supplies to every person in need as quickly as

possible. Federal guidelines state that all persons in an area affected by a public health

emergency should receive their medical countermeasures within 48 hours of the emergency’s

declaration. While the CDC has determined a general dispensing plan for each state and county

to follow, it is ultimately up to the state and county to formalize and implement detailed plans.

A body of academic literature focuses on optimizing the …


An Agent Based Model To Assess Crew Temporal Variability During U.S. Navy Shipboard Operations, Kevin Muhs 2018 University of Central Florida

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 …


Optimizing A System Of Electric Vehicle Charging Stations, Ukesh Chawal 2018 University of Texas at Arlington

Optimizing A System Of Electric Vehicle Charging Stations, Ukesh Chawal

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

There has been a significant increase in the number of electric vehicles (EVs) mainly because of the need to have a greener living. Thus, ease of access to charging facilities is a prerequisite for large scale deployment for EV. The first component of this dissertation research seeks to formulate a deterministic mixed-integer linear programming (MILP) model to optimize the system of EV charging stations, the locations of the stations and the number of slots to be opened to maximize the profit based on the user-specified cost of opening a station. Despite giving the optimal solution, the drawback of MILP formulation …


Ultrasonic Nondestructive Evaluation Of Metal Additive Manufacturing., Venkata Karthik Nadimpalli 2018 University of Louisville

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 …


Predicting The Impact Of Resource Delays On A Construction Project’S Critical Path Using Monte Carlo Simulation, Colby Weishaar 2018 University of Arkansas, Fayetteville

Predicting The Impact Of Resource Delays On A Construction Project’S Critical Path Using Monte Carlo Simulation, Colby Weishaar

Graduate Theses and Dissertations

The construction industry is a complex and evolving industry, making the project manager’s job of planning, organizing, and making decisions a difficult one. One of the most difficult decisions throughout a project is determining what resources are needed to complete a task by the deadline. Uncertainties cause risks within the schedule often creating delays for which the project manager must develop a mitigation plan once risks are identified. After conducting a review of the literature, no research was found examining the use of an analytical model to estimate the delays caused within the resource allocation process. If an analytical model …


Simulation-Based Analysis And Optimization Of The United States Army Performance Appraisal System., Lee A. Evans 2018 University of Louisville

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 2018 University of Louisville

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 …


Optimal Allocation Of Resources In Reliability Growth, Mohammadhossein Heydari 2018 University of Arkansas, Fayetteville

Optimal Allocation Of Resources In Reliability Growth, Mohammadhossein Heydari

Graduate Theses and Dissertations

Reliability growth testing seeks to identify and remove failure modes in order to improve system reliability. This dissertation centers around the resource allocation across the components of a multi-component system to maximize system reliability. We summarize this dissertation’s contributions to optimal resource allocation in reliability growth.

Chapter 2 seeks to deploy limited testing resources across the components of a series-parallel system in effort to maximize system reliability under the assumption that each component’s reliability exhibits growth according to an AMSAA model with known parameters. An optimization model for this problem is developed and then extended to consider the allocation of …


A Multi-Objective Affinity-Based Savings Algorithm For Improving Processes In Centralized Warehousing Operations, McKenLee M. Coco 2018 University of Arkansas, Fayetteville

A Multi-Objective Affinity-Based Savings Algorithm For Improving Processes In Centralized Warehousing Operations, Mckenlee M. Coco

Graduate Theses and Dissertations

Traditional approaches to improving material management processes in warehousing operations tend to focus on one of three major areas: facility design, order picking and sorting, and order batching. In an effort to improve total system savings, a new affinity function is developed and applied to batching logic to create a multi-objective problem. The proposed multi-objective function incorporates user input to increase adaptability to changing demand and flexibility to changing requirements. Computational experience shows the new function leads to solutions that deviate no more than 25% from the most efficient distance based picking route by the same batching logic, while creating …


Essays On Applications Of Transportation Network Design And Optimization, Amirali Ghaharikermani 2018 University of Arkansas, Fayetteville

Essays On Applications Of Transportation Network Design And Optimization, Amirali Ghaharikermani

Graduate Theses and Dissertations

In this dissertation, we address different transportation problems. The three main outcomes are: designing a battery swap station network, studying gaps in Empty Container Management literature, designing a model with similar characteristics to the vehicle routing problem as well as implementation scenario for it to be applied for a real-world case.

For the designed battery swap station, a model is developed for customer demand satisfaction that permits construction of different types of BSS in the planning network. Our solution methodology is a Tabu Search algorithm combined with a dynamic programming initialization. Numerous tests showed that the proposed TS approach provides …


Demonstrating Set-Based Design Techniques- A Uav Case Study, Colin Small 2018 University of Arkansas, Fayetteville

Demonstrating Set-Based Design Techniques- A Uav Case Study, Colin Small

Graduate Theses and Dissertations

The Department of Defense (DoD) and Engineered Resilient Systems (ERS) community seek to improve decision making in the Analysis of Alternatives (AoA) process by incorporating resilience and leveraging the capabilities of model-based engineering (MBE) early in the design process. Traditional tradespace exploration utilizing Point-Based Design (PBD) often converges quickly on a solution with subsequent engineering changes to modify the design. However, this process can lead to a suboptimal solution if an incorrect initial solution is chosen. Enabled by MBE, Set-Based Design (SBD) considers sets of all possible solutions and enables down-selecting possibilities to converge on a final solution. Using a …


Convergent Set-Based Design In Integrated Analysis Of Alternatives: Designing Engineered Resilient Systems, Zephan Wright Wade 2018 University of Arkansas, Fayetteville

Convergent Set-Based Design In Integrated Analysis Of Alternatives: Designing Engineered Resilient Systems, Zephan Wright Wade

Graduate Theses and Dissertations

This thesis presents a comprehensive package for understanding and expanding set-based design quantification through the definition and demonstration of Convergent set-based design (SBD). Convergent SBD is a technique developed for the Engineered Resilient Systems program sponsored by the Department of Defense. Convergent SBD contributes a repeatable methodology with the goal of mathematically eliminating inefficient sets. The study of Convergent SBD led to the development of dominance identification criteria equations using comparison of statistical means. The demonstration of Convergent SBD also illustrates the effect of mission resilience in the tradespace and the impact mission resilience has on preference. Finally, Convergent SBD …


The Implementation Of Opportunistic Multiple Spacecraft Per Antenna Concepts On The Msu-Sta Deep Space Station 17, Murphy C. Stratton 2018 Morehead State University

The Implementation Of Opportunistic Multiple Spacecraft Per Antenna Concepts On The Msu-Sta Deep Space Station 17, Murphy C. Stratton

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science, Morehead State University in partial fulfillment of the requirements for the Degree Master of Science by Murphy C. Stratton on April 30, 2018.


Improvement Of Quality Processes- Asset Condition Assessment Tool And Process For Vanderlande Industries, Mariantonia Hoyos Lopez, Tori Shonk 2018 Kennesaw State University

Improvement Of Quality Processes- Asset Condition Assessment Tool And Process For Vanderlande Industries, Mariantonia Hoyos Lopez, Tori Shonk

Senior Design Project For Engineers

Vanderlande Industries is the global market leader in the value added logistic process automation for airports, the parcel market, warehouses, and e-commerce. The company’s extensive portfolio of integrated solutions results in fast, reliable and efficient automation technology. The VI Marietta office supports airport sites that have an operational BHS. These sites hire VI to operate and maintain the site. Preventive, corrective, and emergency maintenance is completed on the equipment to maintain operational success. Usually, the U.S. sites that are supported have BHS systems that are old and worn down. It is important for VI to determine the risk of maintaining …


Class A Average Handle Time Standard, Stephanie Lee 2018 Kennesaw State University

Class A Average Handle Time Standard, Stephanie Lee

Senior Design Project For Engineers

This report provides an analysis and evaluation on the Average Handle Time performed at Class A. The Universal, Shipping, International, Tracking, InfoNotice, Amazon, Field Support Group, and Preferred Customer Associates call types are evaluated in this study. An Average Handle Time Standard is created, while meeting the appropriate sample size, covering multiple site locations, at various times of the day and days of the week, and meeting corporate quality expectations. Methods of cost analysis, Six Sigma, and optimization are utilized in this study. The V-Process Model is used to verify the system. The implementation and results served as the verification …


Carlex Glass Laminated Side Glass Process Optimization, Jake Massingill, Marshal Turner 2018 Kennesaw State University

Carlex Glass Laminated Side Glass Process Optimization, Jake Massingill, Marshal Turner

Senior Design Project For Engineers

The intent of this project is to determine how many racks of glass should be inserted into the autoclave at a given time in order to maximize productivity of the Laminated Side Glass line. Based on this value, the total number of workers necessary at finishing and the cycle time of the bag furnace were determined. This was achieved by building a model of the line in Arena and analyzing it. The model demonstrated that twelve is the optimal number of racks to insert at a given time, only one team of two workers is necessary per shift, and that …


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