Industrial Engineering Commons^™

Slm Materials Development, Justin G. Reiner, Michael T. Schembri

Industrial and Manufacturing Engineering

The purpose of this project was to create a procedure to efficiently determine a “recipe” of parameter values that create a desired set of mechanical properties. Research was conducted into the laser powder bed fusion process with focus on underdeveloped materials. A design of experiment was used with a set of density correlated parameters to establish a method of producing nearly dense parts. Our methods include SLM printing, metrology, and statistical analysis. An experimental procedure for materials development was designed, but unable to be validated during the scope of this project, due to unforeseen safety issues (exposure to Chromium 6, …

Risk Assessment Of Dropped Cylindrical Objects In Offshore Operations, Adelina Steven

LSU New Orleans Theses and Dissertations

Dropped object are defined as any object that fall under its own weight from a previously static position or fell due to an applied force from equipment or a moving object. It is among the top ten causes of injuries and fatality in oil and gas industry. To solve this problem, several in-house tools and guidelines is developed over time to assess the risk of dropped objects on the sub-sea structures. This thesis focuses on compiling and comparing those methods in hope to improve the recommended practices available in the market. A simple modification is done on the in-house tools …

Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …

Bi-Directional Testing For Change Point Detection In Poisson Processes, Moinak Bhaduri

UNLV Theses, Dissertations, Professional Papers, and Capstones

Point processes often serve as a natural language to chronicle an event's temporal evolution, and significant changes in the flow, synonymous with non-stationarity, are usually triggered by assignable and frequently preventable causes, often heralding devastating ramifications. Examples include amplified restlessness of a volcano, increased frequencies of airplane crashes, hurricanes, mining mishaps, among others. Guessing these time points of changes, therefore, merits utmost care. Switching the way time traditionally propagates, we posit a new genre of bidirectional tests which, despite a frugal construct, prove to be exceedingly efficient in culling out non-stationarity under a wide spectrum of environments. A journey surveying …

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

USF Tampa 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 and …

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 …

Dispensing Medical Countermeasures In Public Health Emergencies Via Home Health Agencies And Points Of Distribution, Anna Hudgeons

Industrial Engineering Undergraduate Honors Theses

A major concern regarding emergency preparedness on the state government level involves the handling and dispensing of the Strategic National Stockpile (SNS) of medicinal supplies. Each state is required to update and maintain a plan of action for dispensing SNS materials that would effectively provide care to the state’s population in times of distress. This research evaluates a state’s ability to dispense an adequate amount of medicine to her population in a timely manner, specifically after it has been received by the state government. Although simulation modeling has previously been utilized to replicate the dispensing process at pre-designated points of …

Modeling Commodity Flow As A Statistical Function Of Lock Unavailability And Usage, Grace Mcgee

Industrial Engineering Undergraduate Honors Theses

The inland waterway system in the United States allows for the transportation of commodities, and interruptions to the system can have remarkable economic consequences. This research estimates statistical models of commodity flow as a function of lock usage and lock unavailability to discover relationships between system disruption and economic penalties. Findings specifically complement a portfolio of research conducted by the Maritime Transportation Research & Education Center (MarTREC) for the United States Army Corps of Engineers (USACE) to aid in decision making and resource planning for lock maintenance.

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 …

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 …

Understanding The Decision-Making Process Of Local Level Emergency Managers And Future Impacts Of Social Data, Justin Taylor

Industrial Engineering Undergraduate Honors Theses

During the course of a natural disaster, affected populations turn to different avenues to attempt to communicate their needs and locations while emergency managers are faced with the task of making quick decisions to aid in the response effort. The decisions that emergency managers face are affected by factors such as available resources, responder safety, and source of information. In this research, we interview emergency managers about the 2009 North American Ice Storm and a flooding event in late April of 2017 to understand the decisions made and the factors that affected these decisions. Using these interviews, a list of …

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

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. …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Service Drive 2020 - Fine Design, David Sirotinsky, Ling Marshall

Senior Design Project For Engineers

This report explores a cloud network solution for the automotive industry. The project scope was defined with a problem statement. Robust connectivity solutions offered by the OEM manufacturers provide data communication between the customer and the connected car, but lack data communication from the customer to the private franchise dealers. This antiquated business model creates variation in operation from one dealer to the other and creates a challenge to apply a standardized solution. One fundamental requirement is to provide a network solution that can seamlessly integrate into existing hardware, software and process infrastructure.

The project group conducted interviews with two …

Quality Function Deployment Method And Its Application On Wearable Technology Product Development, Mir Salahuddin

LSU Master's Theses

The purpose of this thesis was to investigate consumers and product developer’s expectations of wearable technology products in the context of the Quality Function Deployment (QFD) framework. The specific objectives were to: 1) Explore the quality features that consumers consider most important when purchasing wearable technology product. 2) Explore the technical features product developers consider most important in the development of wearable technology. 3) Identify the technical features that wearable technology product developers need to focus on to meet the customer requirements.

The Qualtrix online survey system was used to collect demographic, quantitative and essay length written responses from participants. …

Ensemble Machine Learning To Predict Family Consent For Organ Donation, Md Ehsan Khan

Graduate Dissertations and Theses

There is ever increasing disparity between number of organs needed for transplantation and numbers available for donation to save lives. As a result, thousands of people die every year waiting for organs. Therefore, it is now more important than ever before to take serious actions to decrease this disparity. One way to bridge gap between organ demand and supply is to increase family consent for organ donation. This research studied the factors associated with family consent. Machine Learning approach had been used in very few literature to understand factors related to family consent. This study uses six Ensemble Machine Learning …

Improving The Truck Driver Job, Kerry Melton

Operations Management Presentations

Freight transportation has increased dramatically over the last 35 years as freight and shipment demand have expanded resulting in truck driver and equipment capacity issues and infrastructure problems. Freight transport tonnage in the U.S. is predominately truck transportation consisting of more than 70% of all freight distribution with a 25% growth expectation over the next 5 years. Within the trucking industry, over-the-road (OTR) truckload transportation consists of 50% of all truck tonnage shipped. Due to high OTR truckload demand, OTR driver capacity issues have plagued the truckload industry for years. Additionally, high OTR driver turnover and poor driver job retention …

Compressed Air Systems Evaluation And Improvement, Lukas Swoboda

Honors Theses

This project was centered on recommending a new air compressor system for the Fluid System Connectors division of Parker Hannifin in Otsego, Michigan. The recommended compressor for the plant is a 250hp variable speed drive Ingersoll Rand Compressor. It is recommended that this compressor, along with two 35hp compressors already purchased by Parker be tied together using an automated system. In addition to the compressor, a flow controller was recommended to be implemented into the system.

Given that leaks are also a problem in the system, it is recommended that the majority of air leaks in the system be fixed …

Ranking Of Human Senses In Relation To Different In-Flight Activities Contributing To The Comfort Experience Of Airplane Passengers, Joyce Bouwens, Suzanne Hiemstra-Van Mastrigt, Peter Vink

International Journal of Aviation, Aeronautics, and Aerospace

Bubb, Bengler, Grünen, and Vollrath (2015) identified six environmental comfort factors and ordered them from most important to least important (smell, light, vibrations, sound, climate and anthropometry). This paper attempts to verify whether this suggested order of comfort-related factors also applies to the expectations of aircraft passengers. For this purpose, two studies were carried out. First, a survey was conducted among 183 aircraft passengers between 19 and 64 years old. In this survey, respondents were asked to rank six comfort factors by selecting the most important factor from 15 pairs of factors (e.g. light versus smell). The respondents indicated anthropometry …

An Analysis Of The Relationship Between Leadership Style And Lean Expressed Through Respect, Proactivity, And Innovative Work Behavior, Reiner Martens

Organization, Information and Learning Sciences ETDs

This dissertation is based on the idea that a leadership style is necessary to implement a lean culture within an organization. This research study employed a systematic literature review, from which a lean leadership model was developed. Based on the two principles of a lean organizational culture, 1. respect for people and 2. continuous improvement, three measurable variables were identified, respect, proactivity, and innovative work behavior. These three variables were connected to the lean leadership model. Leadership styles based on the full range model of leadership were used as independent variable(s). The overarching results of this study were: (1) transformational …

Implementing A Total Productive Maintenance Approach Into An Improvement At S Company, Xiaomeng Sun

Masters Theses & Specialist Projects

The study improved the overall equipment effectiveness (OEE) of machines and processes through the implementation of a total productive maintenance (TPM) approach at Company S over a three-month period. By comparing the OEE of equipment before and after the implementation of autonomous maintenance, this study concluded that autonomous maintenance improves OEE. The target of this study was one general product line at a polytetrafluoroethylene (PTFE) plant. Due to time limitations, the study only applied autonomous maintenance to operational activities. This research involved machine and processes selection, condition assessment, baseline OEE assessment, operator training, execution of autonomous maintenance, and OEE measurement. …