Operations Research, Systems Engineering and Industrial Engineering Commons^™

Agent-Based Model Of Broadband Adoption In Unserved And Underserved Areas, Ankit Agarwal

Masters Theses

"In the last two decades, demand for broadband internet has far outpaced its availability. The Federal Communications Commission’s (FCC) 2020 Broadband Deployment report suggests that at least 22 million Americans living in rural areas lack access to broadband internet. With the COVID-19 pandemic affecting normal life, there is an overwhelming need to enable unserved and underserved communities to adapt to the “new normal”. To address this challenge, federal and state agencies are funding internet service providers (ISPs) to deploy infrastructure in rural communities. However, policymakers and ISPs need open-source tools to predict take-rates of broadband service and formulate effective strategies …

Goal Programming Approach For Bi-Objective Optimization For A Single Batch Processing Machine, Dheeban Kumar Srinivasan Sampathi

Graduate Research Theses & Dissertations

This research considers a real-time problem where jobs need to be batched and scheduled to a single batch processing machine to minimize makespan and maximum tardiness. Jobs must be placed in batches such that the machine capacity is not violated. The jobs considered have unequal ready times, unequal processing times, and unequal sizes. This research aims to develop an effective solution approach for the proposed problem. The problem under study can be denoted as 1|p-batch, sj, rj| Cmax, Tmax.

The problem under study is NP-Hard. A new Mixed Integer Linear Programming (MILP) formulation using Goal programming (MILP-G) and Column Generation …

Redeployment Of Athletic Trainers During A Pandemic, James Caiola

Clinical Practice in Athletic Training

Before COVID-19 was recognized as a global pandemic involving the United States of America in March of 2020, MedStar Health employed 40 Athletic Trainers (ATs) in multiple settings. While ATs worked in the traditional setting at 17 high schools, 2 universities, and with 2 professional teams in the Baltimore, MD and Washington, DC area, they also have been used in nontraditional ways. They are used in the physician practice setting to manage clinic flow, evaluate patients and present to the physician, provide pre- and post-surgical patient education, and being an overall patient point of contact in a busy clinic. They …

Table Of Contents Jitim Vol 30 Issue 1, 2021

Journal of International Technology and Information Management

Table of Content

Conference Proceedings Of The 32nd Annual Iima Conference

Journal of International Technology and Information Management

Conference Proceedings of the 32nd Annual IIMA Conference

Sae Formula Team Carbon Fiber Seat, Sean Turner, Jacob Jaksic

Williams Honors College, Honors Research Projects

This project is for the Formula SAE Zips Racing team here at the University of Akron. The team includes Jacob Jaksic, Sean Turner, Dovydas Sodys, Mike White, and Sevin Johnson. We are tasked with reducing the weight of their current seat, while remaining comfortable to the driver. Our plan was to do this with a lightweight material, specifically carbon fiber. Many different steps were required when outlining this project: finalizing a design with verification from our Zips racing advisor, completing FEA analysis on finished design, acquiring material to be molded into seat, and finding a company to fabricate out of …

Computational Decision Support For The Covid-19 Healthcare Coalition, Andreas Tolk, Christopher Glazner, Joseph Ungerleider

VMASC Publications

In the early months of 2020, the SARS-CoV-2 Coronavirus took the world by surprise, resulting in the COVID-19 pandemic that has caused significant loss of lives and challenged the sustainability of our health care systems. In mid-March, it became obvious that government and communities had to react immediately. Under the lead of the Mayo Clinic and The MITRE Corporation, the COVID-19 Healthcare Coalition (C19HCC) was established as a coordinated public-interest, private-sector response. The coalition brought healthcare organizations, technology firms, nonprofits, academia, and startups to support supply chains, inform coordinated social policies, and provide data-driven insights to protect people and preserve …

A Machine Vision Based Automated Quality Control System For Product Dimensional Analysis, Aditya Akundi, Mark Reyna

Manufacturing & Industrial Engineering Faculty Publications

Quality control (QC) in manufacturing processes is critical to ensuring consumers receive products with proper functionality and reliability. Faulty products can lead to additional costs for the manufacturer and damage trust in a brand. A growing trend in QC is the use of machine vision (MV) systems because of their noncontact inspection, high repeatability, and relatively low cost. This paper presents a robust MV system developed to perform comparative dimensional inspection on diversely shaped samples, including additive manufacturing products. The algorithm used performs dimensional inspection on a base product considered to have acceptable dimensions. The perimeter, area, rectangularity, and circularity …

A Review On Application Of Model Based Systems Engineering To Manufacturing And Production Engineering Systems, Aditya Akundi, Viviana Lopez

Manufacturing & Industrial Engineering Faculty Publications

Increasing complexity in today’s manufacturing and production industry due to the need for higher flexibility and competitiveness is leading to inconsistencies in the iterative exchange loops of the system design process. To address these complexities and inconsistencies, an ongoing industry trend for organizations to make a transition from document-centric principles and applications to being model-centric is observed. In this paper, a literature review is presented highlighting the current need for an industry-wide transition from document-centric systems engineering to Model-Based Systems Engineering (MBSE). Further, investigating the tools and languages used by the researchers for facilitating the transition to and the integration …

Potential Production Of Theranostic Boron Nitride Nanotubes (64cu-Bnnts) Radiolabeled By Neutron Capture, Wellington Marcos Silva, Helio Ribeiro, Jaime Taha-Tijerina

Manufacturing & Industrial Engineering Faculty Publications

In this work, the radioisotope 64Cu was obtained from copper (II) chloride dihydrate in a nuclear research reactor by neutron capture, (63Cu(n, )64Cu), and incorporated into boron nitride nanotubes (BNNTs) using a solvothermal process. The produced 64Cu-BNNTs were analyzed by TEM, MEV, FTIR, XDR, XPS and gamma spectrometry, with which it was possible to observe the formation of64Cu nanoparticles, with sizes of up to 16 nm, distributed through nanotubes. The synthesized of 64Cu nanostructures showed a pure photoemission peak of 511 keV, which is characteristic of gamma radiation. This type of emission is desirable for Photon Emission Tomography (PET scan) …

Machine Learning Model Optimization With Hyper Parameter Tuning Approach, Md. Riyad Hossain, Douglas Timmer

Manufacturing & Industrial Engineering Faculty Publications

Hyper-parameters tuning is a key step to find the optimal machine learning parameters. Determining the best hyper-parameters takes a good deal of time, especially when the objective functions are costly to determine, or a large number of parameters are required to be tuned. In contrast to the conventional machine learning algorithms, Neural Network requires tuning hyperparameters more because it has to process a lot of parameters together, and depending on the fine tuning, the accuracy of the model can be varied in between 25%-90%. A few of the most effective techniques for tuning hyper-parameters in the Deep learning methods are: …

Investigation Of Anaerobic Digestion Of The Aqueous Phase From Hydrothermal Carbonization Of Mixed Municipal Solid Waste, Kameron J. Adams, Ben Stuart, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

In 2017, the United States Environmental Protection Agency (EPA) reported that Americans generated over 268 million tons of municipal solid waste (MSW). The majority (52%) of this waste ends up in landfills, which are the third largest source of anthropogenic methane emissions. Improvements in terms of waste management and energy production could be solved by integrating MSW processing with hydrothermal carbonization (HTC) and anaerobic digestion (AD) for converting organic carbon of MSW to fuels. The objectives of this study were to (a) investigate HTC experiments at varying temperatures and residence times (b) evaluate aqueous phase and solids properties, and (c) …

The Architecture Design Of Electrical Vehicle Infrastructure Using Viable System Model Approach, Mahdi Boucetta, Niamat Ullah Ibne Hossain, Raed Jaradat, Charles Keating, Siham Tazzit, Morteza Nagahi

Engineering Management & Systems Engineering Faculty Publications

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not …

Effective Project Management And The Role Of Quality Assurance Throughout The Project Life Cycle, Monier Madison Ouabira, Hengameh Fakhravar

Engineering Management & Systems Engineering Faculty Publications

Quality is a fundamental requirement in effective project management. Effective project management entails a steady focus on quality management as well as achievement of all user requirements as defined during the requirements engineering phase of project implementation. Quality assurance must be executed throughout the project development cycle as a new normal in reducing errors and challenges during project development. Conducting quality assurance throughout the project development cycle has many benefits to both the project as well as the project development team. Understanding the research approach to use is critical in achieving high-quality findings in projects. There is a need to …

Complex System Governance As A Framework For Asset Management, Polinpapilinho F. Katina, James C. Pyne, Charles B. Keating, Dragan Komljenovic

Engineering Management & Systems Engineering Faculty Publications

Complex system governance (CSG) is an emerging field encompassing a framework for system performance improvement through the purposeful design, execution, and evolution of essential metasystem functions. The goal of this study was to understand how the domain of asset management (AsM) can leverage the capabilities of CSG. AsM emerged from engineering as a structured approach to organizing complex organizations to realize the value of assets while balancing performance, risks, costs, and other opportunities. However, there remains a scarcity of literature discussing the potential relationship between AsM and CSG. To initiate the closure of this gap, this research reviews the basics …

The Technology Transfer Network Dynamic In The Information Technology Industry Of Yucatan, Mexico, Francisco Cima, Pilar Pazos, Ana Maria Canto

Engineering Management & Systems Engineering Faculty Publications

The present paper explores the technology transfer linkages among universities, research centers, and private companies in Yucatan, Mexico's information technology industry. Social network analysis (SNA) was used as a method to identify the structural characteristics of the technology transfer collaborations, and the changes in the patterns of interactions among institutions over the years. Data were obtained from the National Council for Science and Technology repository (CONACYT). Associations formed to enhance technology advancement and innovation practices between 2010 and 2018 were analyzed in this study. Network transitivity, the patterns of triadic configurations, and heterophily were compared to uncover the evolution of …

Enhancing Cyberweapon Effectiveness Methodology With Se Modeling Techniques: Both For Offense And Defense, C. Ariel Pinto, Matthew Zurasky, Fatine Elakramine, Safae El Amrani, Raed M. Jaradat, Chad Kerr, Vidanelage L. Dayarathna

Engineering Management & Systems Engineering Faculty Publications

A recent cyberweapons effectiveness methodology clearly provides a parallel but distinct process from that of kinetic weapons – both for defense and offense purposes. This methodology promotes consistency and improves cyberweapon system evaluation accuracy – for both offensive and defensive postures. However, integrating this cyberweapons effectiveness methodology into the design phase and operations phase of weapons systems development is still a challenge. The paper explores several systems engineering modeling techniques (e.g., SysML) and how they can be leveraged towards an enhanced effectiveness methodology. It highlights how failure mode analyses (e.g., FMEA) can facilitate cyber damage determination and target assessment, how …

Interactive Agent-Based Simulation For Experimentation: A Case Study With Cooperatve Game Theory, Andrew J. Collins, Sheida Etemadidavan

Engineering Management & Systems Engineering Faculty Publications

Incorporating human behavior is a current challenge for agent-based modeling and simulation (ABMS). Human behavior includes many different aspects depending on the scenario considered. The scenario context of this paper is strategic coalition formation, which is traditionally modeled using cooperative game theory, but we use ABMS instead; as such, it needs to be validated. One approach to validation is to compare the recorded behavior of humans to what was observed in our simulation. We suggest that using an interactive simulation is a good approach to collecting the necessary human behavior data because the humans would be playing in precisely the …

Human Characteristics Impact On Strategic Decisions In A Human-In-The-Loop Simulation, Andrew J. Collins, Shieda Etemadidavan

Engineering Management & Systems Engineering Faculty Publications

In this paper, a hybrid simulation model of the agent-based model and cooperative game theory is used in a human-in-the-loop experiment to study the effect of human demographic characteristics in situations where they make strategic coalition decisions. Agent-based modeling (ABM) is a computational method that can reveal emergent phenomenon from interactions between agents in an environment. It has been suggested in organizational psychology that ABM could model human behavior more holistically than other modeling methods. Cooperative game theory is a method that models strategic coalitions formation. Three characteristics (age, education, and gender) were considered in the experiment to see if …

A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The disaster area is a true dynamic environment. Lack of accurate information from the affected area create several challenges in distributing the supplies. The success of a disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a trust-based dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts in a distributed technological ecosystem. This study aims to analyze the application …