Operations Research, Systems Engineering and Industrial Engineering Commons^™

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

Machine Learning Prediction Of Dod Personal Property Shipment Costs, Tiffany Tucker, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

U.S. Department of Defense (DoD) personal property moves account for 15% of all domestic and international moves - accurate prediction of their cost could draw attention to outlier shipments and improve budget planning. In this work 136,140 shipments between 13 personal property shipment hubs from April 2022 through March 2023 with a total cost of $1.6B were analyzed. Shipment cost was predicted using recursive feature elimination on linear regression and XGBoost algorithms, as well as through neural network hyperparameter sweeps. Modeling was repeated after removing 28 features related to shipment hub location and branch of service to examine their influence …

A New Course In Defense Manufacturing – An Introduction To Shipbuilding, Alley C. Butler

Manufacturing & Industrial Engineering Faculty Publications

This paper discusses the development and deployment of a new course in DMEI (Defense Manufacturing Engineering Innovation) titled, “Introduction to Shipbuilding.” This course has been taught using Zoom since 2021 at both the University of Texas Rio Grande Valley, a Hispanic Serving Institution, and Virginia State University, a Historically Black University. After a brief literature review, an outline of the course is presented with topics including the maritime market for shipbuilding, economics of shipbuilding, the classification agencies, metallurgy and welding processes, ship structure and assembly, shipyard layout, accuracy control, and shipbuilding planning and scheduling. Difficulties in obtaining an appropriate textbook …

Model Based Systems Engineering With A Docs-As-Code Approach For The Sealion Cubesat Project, Kevin Chiu, Sean Marquez, Sharanabasaweshwara Asundi

Mechanical & Aerospace Engineering Faculty Publications

The SeaLion mission architecture team sought to create a model-based systems engineering approach to assist improving CubeSat success rates as well as for the SeaLion CubeSat project to guide an implementation for the flight software. This is important because university CubeSat teams are growing in number but often have untrained students as their core personnel. This was done using a document-as-code, or docs-as-code, approach. With this the team created tools for the systems architecture with the Mach 30 Modeling Language to create an architecture that is easy to learn and use even for newly admitted team members with little to …

การประเมินราคาเครื่องจักรโดยใช้เทคนิคเดลฟายและกระบวนการวิเคราะห์เชิงลำดับชั้น, นัจนันท์ เลี่ยงทรชน

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อหาเกณฑ์การประเมินราคาเครื่องจักรที่เหมาะสม สำหรับการประเมินราคาเครื่องจักรตามแนวทางการเปรียบเทียบราคาตลาด โดยใช้กระบวนการวิเคราะห์เชิงลำดับชั้นในการกำหนดเกณฑ์และน้ำหนักความสำคัญ และใช้เทคนิคเดลฟายในการหาระดับของแต่ละเกณฑ์ การดำเนินงานวิจัยได้เริ่มจาก 1) ทำการสำรวจเกณฑ์การประเมินราคา 2) การสอบถามเชิงลึกถึงเกณฑ์ที่เกี่ยวข้องจากนักประเมินอาชีพ 3) สร้างผังโครงสร้างการตัดสินใจเชิงลำดับชั้นสำหรับการหาเกณฑ์ในการประเมินราคา 4) วิเคราะห์น้ำหนักความสำคัญจากกระบวนการวิเคราะห์เชิงลำดับชั้น 5) วิเคราะห์ระดับคุณสมบัติของเกณฑ์จากเทคนิคเดลฟาย 6) เปรียบเทียบผลการประเมินราคาเครื่องจักรด้วยวิธีเปรียบเทียบราคาตลาด งานวิจัยนี้ได้เลือกเครื่องกลึงโลหะ เครื่องผสมยาง ห้องเย็น เครื่องฉีดพลาสติก และเครื่องสีข้าว มาเป็นตัวแทนของกลุ่มอุตสาหกรรมในงานวิจัย โดยสร้างผังโครงสร้างการตัดสินใจเชิงลำดับชั้นการประเมินราคาประกอบด้วยเกณฑ์หลักทั้งหมด 6 เกณฑ์ เกณฑ์รอง 15 เกณฑ์ ผลจากการหาน้ำหนักความสำคัญของเกณฑ์ พบว่าเกณฑ์หลักที่มีน้ำหนักความสำคัญสูงในทุกเครื่องจักร คือ สภาพเครื่องจักร และประสิทธิภาพ ส่วนเกณฑ์รอง คือ สภาพความพร้อมใช้งาน เมื่อนำเกณฑ์หลักและเกณฑ์รองมาพิจารณาร่วมกัน ทำให้ได้เกณฑ์การประเมินราคาเครื่องจักรทั้งหมด 17 เกณฑ์ ที่มีค่าน้ำหนักความสำคัญของแต่ละเกณฑ์ในแต่ละเครื่องจักรแตกต่างกัน โดยน้ำหนักความสำคัญของเกณฑ์จะสัมพันธ์วัตถุประสงค์ของเครื่องจักรนั้นๆ อาจปรับเปลี่ยนมีความแตกต่างกันตามหน้าที่ของเครื่องจักร จากนั้นใช้เทคนิคเดลฟายในการหาระดับของแต่ละเกณฑ์ ซึ่งนักประเมินทั้งกลุ่มมีความเห็นชอบต่อการแบ่งระดับของแต่ละเกณฑ์ดังกล่าว เมื่อนำเกณฑ์ที่ได้นี้ไปใช้ในการประเมินมูลค่าของเครื่องกัดแนวตั้งและเครื่องฉีดพลาสติกเพื่อเป็นตัวอย่างการสร้างเกณฑ์ในงานวิจัยนี้ พบว่าสามารถลดความแตกต่างของมูลค่าเครื่องกัดแนวตั้งและเครื่องฉีดพลาสติก ของนักประเมินแต่ละคนได้ถึง 83.05% และ 97.56% ตามลำดับ

ตัวแบบการวางแผนจัดโปรโมชันลดราคาหลายช่วงเวลา สำหรับสินค้าร้านค้าปลีก, ชนิกานต์ ทั่งทอง

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อพัฒนาแบบจำลองทางคณิตศาสตร์ สำหรับการวางแผนจัดโปรโมชันลดราคาหลายช่วงเวลาสำหรับสินค้าในร้านค้าปลีกกรณีศึกษา ซึ่งปัจจุบันวางแผนการจัดโปรโมชัน โดยใช้ผู้มีประสบการณ์ ทำให้การจัดโปรโมชันแต่ละครั้งใช้เวลานาน ดังนั้นผู้วิจัยจึงนำเสนอแบบจำลองโปรแกรมเชิงเส้นจํานวนเต็มไบนารี ในการแก้ปัญหาภายใต้ข้อจำกัดต่างๆ โดยมีวัตถุประสงค์เพื่อเพิ่มผลกำไรรวมสูงที่สุด งานวิจัยนี้ใช้ตัวแบบการประมาณการยอดขายแบบลอการิทึม ในการประมาณการยอดขายรายเดือนและจำแนกกลุ่มสินค้าตามค่าความยืดหยุ่นของอุปสงค์ต่อราคา ผลการวิจัยพบว่าการจัดโปรโมชันโดยพิจารณารวมทุกกลุ่มกำไรพร้อมกัน สามารถให้ผลกำไรรวมได้ดีที่สุด โดยพัฒนาผลกำไรรวมเพิ่มขึ้น 1,194,517.75 บาท หรือคิดเป็น 3.94 เปอร์เซ็นต์ เมื่อเทียบกับการจัดโปรโมชันของร้านค้าปลีกกรณีศึกษาในปัจจุบัน และใช้เวลาประมวลผลได้เหมาะสม นอกจากนั้นผู้วิจัยได้ใช้วิธีจำลองสถานการณ์มอนติคาร์โล เพื่อจำลองสถานการณ์ค่าสัมประสิทธ์ของความยืดหยุ่นของอุปสงค์ต่อราคาเพื่อใช้ในการศึกษาผลกระทบของปัจจัยต่างๆ ผลจากการทดลองเชิงคำนวณพบว่าปัจจัยความยืดหยุ่นของอุปสงค์ต่อราคา เป็นปัจจัยที่สำคัญที่ต่อการเลือกประเภทความลึกของการลดราคาที่เหมาะสม นอกจากนั้นผู้วิจัยได้ทำการพัฒนาและสร้างแม่แบบในโปรแกรมเอ็กเซล เพื่อใช้ในการรับข้อมูลเพื่อส่งต่อไปยังโปรแกรม IBM ILOG CPLEX Optimization จากนั้นก็ทำการแปลงข้อมูลผลลัพธ์ของตัวแปรตัดสินใจกลับมาใน Excel ให้อยู่ในรูปแบบตารางที่ง่ายต่อการนำไปใช้งาน

Utilisation Des Ponts Élévateurs De Véhicules Hors Terre À Deux Colonnes : Identification De Déterminants Techniques De Stabilité Et Des Déterminants Du Travail Des Techniciens Automobiles, Damien Burlet-Vienney, Sylvie Beaugrand, Bertrand Galy, Maud Gonella, François Gauthier, Élise Ledoux, Isabelle Berger, Isvieysys Armas Marrero, Kariane Cusson Bertrand

Rapports de recherche scientifique

Cette recherche porte spécifiquement sur l’utilisation des ponts élévateurs de véhicules (PEV) hors terre à deux colonnes (HT2C). Les PEV HT2C sont utilisés par les techniciens automobiles lors de l’entretien et de la réparation des véhicules et les amènent à travailler sous ou à proximité d’une charge surélevée de plusieurs tonnes. La mort d’un jeune technicien en 2014 est à l’origine d’une concertation du secteur de la réparation automobile et de ces travaux de recherche. La chute d’un véhicule d’un PEV HT2C est le risque ciblé par cette étude.

De nombreux facteurs sont susceptibles de contribuer à la chute d’un …

Managing The Success Of Tpm Deployment & Sustainment In The Automotive Industry, Kevin Gembel

Wayne State University Dissertations

Maintenance has assumed increased importance in manufacturing as companies look for ways to gain an advantage over their competitors. The philosophical benefits of jointly implementing Total Productive Maintenance (TPM) programs in concert with other lean and quality programs have been discussed in the manufacturing literature. However, there is an absence of real-life implementation studies for objective assessment. To the best of our knowledge, this is the very first longitudinal study to investigate the implementation of TPM programs at a large global OEM across several regions and facilities using objective data collected across all key functions and outcomes. We study a …

Like You Search, Gipson Bachman

LMU Theses and Dissertations

As consumers continue to make their purchases solely online without visiting brick-and-mortar stores, they increasingly look for ways to “touch, feel and try on” products without actually doing so. We believe social media influencers provide a way to do this, with the influencers themselves acting as “stand-ins” for consumers in their place. Finding influencers that look like you in 2022 sounds like it would be easy, but it isn’t. Until now.

LIKE YOU aims to answer this gap in the market by creating a proprietary search engine that, through answering a few questions, recommends a list of influencers that can …

A Framework To Define And Quantify Leadership Styles Within Navy Engineering Units, Megan Praschak

Electronic Theses and Dissertations, 2020-2023

This study aimed to develop a framework for the U.S. Navy's leadership styles by assessing self-perceived leadership styles in a sample of reserve Engineering Duty Officers (EDOs) and the Senior Enlisted Leaders (SELs) in these technical units. Transformational and transactional leadership styles were examined using the Multifactor Leadership Questionnaire (MLQ) Form (Avolio & Bass, 2004), while the servant leadership style was analyzed using the Servant Leadership Self-Assessment Questionnaire (SLSQ) (Sandling, 2021). The effect of rank and the triad leadership position on leadership style was explored in this study. The survey was made available to all EDOs and SELs (n = …

Generalizable And Adaptable Data-Driven Methods For Overcoming Barriers To Practical Industrial Condition Monitoring, Matthew B. Russell

Theses and Dissertations--Electrical and Computer Engineering

The future of smart manufacturing relies on predictive maintenance systems that intelligently minimize expensive downtime through timely assessment of machine condition. Deep Learning (DL) has achieved excellent performance in industrial condition monitoring experiments, but the constraints of the manufacturing environment prevent many algorithms from being practically deployed on the factory floor. Ubiquitous sensing from online machines generates high velocity data streams that require new techniques for efficient transmission and storage. Despite these ever-increasing data lakes, many applications still lack the data needed for training DL fault diagnosis and wear tracking models since most data is unlabeled and only from nominal …

Modeling Behavior And Vaccine Hesitancy For Predicting Daily Vaccination Inoculations Using Trends, Case, Death, And Twitter Sentiment Data, Talal Daghriri

Electronic Theses and Dissertations, 2020-2023

Over the past 100 years, epidemiological models have evolved to incorporate greater facets of the process. With the advent of social networking, massive computational power, population sentiment analysis can now be added to the epidemiological modeling process. Sentiment analysis is greater understanding of the fears, uncertainties, motivation, and trends of the public with respect to vaccination and associated events. Lack of public confidence in the efficacy of models, safety of vaccines, and appropriateness of policies confounds vaccine inoculation prediction. Sentiment analysis of social media is a seminal technique that accesses shared users' contents and tweets on the Twitter platform for …

The American Multi-Modal Energy System: Model Development With Structural And Behavioral Analysis Using Hetero-Functional Graph Theory, Dakota John Thompson

Dartmouth College Ph.D Dissertations

In the 21st century, infrastructure is playing an ever greater role in our daily lives. Presidential Policy Directive 21 emphasizes that infrastructure is critical to public confidence, the nation's safety, and its well-being. With global climate change demanding a host of changes across at least four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system, it is imperative to study models of these infrastructures to guide future policies and infrastructure developments. Traditionally these energy systems have been studied independently, usually in their own fields of study. Therefore, infrastructure datasets often lack the …

Higher-Order Effects In Biaxial Flexure Of Gfrp I-Section Beams, Zia Razzaq, Faridoon Z. Razzaq

Civil & Environmental Engineering Faculty Publications

A theoretical study of Glass Fiber Reinforced Polymer (GFRP) beams subjected to biaxial bending moments is presented with a focus on the influence of higher-order effects on maximum normal stresses. It is shown that the biaxial bending type of loading causes a dramatic increase in the maximum normal stress for a GFRP beam when induced torsional effects are included. The study demonstrates that the traditional first-order theory can grossly underestimate the maximum normal stress in a GFRP beam. Based on the numerical results presented using a higher-order theory which also accounts for induced warping normal stresses, the maximum normal stress …

A Comparative Analysis Of Coastdown Testing Methods From An Electric Drive Unit Engagement Perspective Using A Student-Designed Parallel Hybrid Electric Vehicle, Dawson Everett Dunnuck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Coastdown testing and road load determination are pivotal parts of the automotive design process. Vehicle manufacturers and independent companies perform and analyze road loads determined through a coastdown or similar method to determine a vehicle’s road load for modeling and EPA certification. For a traditional coastdown, the vehicle’s drivetrain must be disconnected through a clutch between the engine and the transmission while traveling at a high rate of speed to place the vehicle in neutral. This changes for hybrid and electric vehicles. Some hybrid, and most electric, vehicles delivered to customers do not have this clutch action to grant the …

Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman

VMASC Publications

Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …

An Ioe Blockchain-Based Network Knowledge Management Model For Resilient Disaster Frameworks, Amir Javadpour, Farinaz Sabz Ali Pour, Arun Kumar Sangaiah, Weizhe Zhang, Forough Ja'far, Ashish Singh

Engineering Management & Systems Engineering Faculty Publications

The disaster area is a constantly changing environment, which can make it challenging to distribute supplies effectively. The lack of accurate information about the required goods and potential bottlenecks in the distribution process can be detrimental. The success of a response network is dependent on collaboration, coordination, sovereignty, and equal distribution of relief resources. To facilitate these interactions and improve knowledge of supply chain operations, a reliable and dynamic logistic system is essential. This study proposes the integration of blockchain technology, the Internet of Things (IoT), and the Internet of Everything (IoE) into the disaster management structure. The proposed disaster …

Fugacity-Based Lattice Boltzmann Method For Multicomponent Multiphase Systems, Muzammil Soomro, Luis F. Ayala, Cheng Peng, Orlando M. Ayala

Engineering Technology Faculty Publications

The free-energy model can extend the lattice Boltzmann method to multiphase systems. However, there is a lack of models capable of simulating multicomponent multiphase fluids with partial miscibility. In addition, existing models cannot be generalized to honor thermodynamic information provided by any multicomponent equation of state of choice. In this paper, we introduce a free-energy lattice Boltzmann model where the forcing term is determined by the fugacity of the species, the thermodynamic property that connects species partial pressure to chemical potential calculations. By doing so, we are able to carry out multicomponent multiphase simulations of partially miscible fluids and generalize …

Component Maintenance Strategies And Risk Analysis For Random Shock Effects Considering Maintenance Costs, Chao Zhang, Yadong Zhang, Hongyan Dui, Shaoping Wang, Mileta Tomovic

Engineering Technology Faculty Publications

Maintenance can improve a system’s reliability in a long operation period or when a component has failed. The reliability modeling method that uses the stochastic process degradation model to describe the system degradation process has been widely used. However, the existing reliability models established using stochastic processes only consider the internal degradation process, and do not fully consider the impact of external random shocks on their reliability modeling. Furthermore, the existing theory of importance does not consider the actual factors of maintenance cost. In this paper, based on the reliability modeling of random processes, the degradation rate under the influence …

Cybersecurity And Digital Privacy Aspects Of V2x In The Ev Charging Structure, Umit Cali, Murat Kuzlu, Onur Elma, Osman Gazi Gucluturk, Ahmet Kilic, Ferhat Ozgur Catak

Engineering Technology Faculty Publications

With the advancement of green energy technology and rising public and political acceptance, electric vehicles (EVs) have grown in popularity. Electric motors, batteries, and charging systems are considered major components of EVs. The electric power infrastructure has been designed to accommodate the needs of EVs, with an emphasis on bidirectional power flow to facilitate power exchange. Furthermore, the communication infrastructure has been enhanced to enable cars to communicate and exchange information with one another, also known as Vehicle-to-Everything (V2X) technology. V2X is positioned to become a bigger and smarter system in the future of transportation, thanks to upcoming digital technologies …

Implementing Systems Engineering Practices To The Zips Aero Design Team, Kaitlyn Bebb, Ariel Bryan

Williams Honors College, Honors Research Projects

The Zips Aero Design Team is a college sponsored design team that competes each year through the American Institute of Aeronautics and Astronautics (AIAA) Design Build Fly (DBF) competition. The rules generally consist of 3 differing flight missions and a ground mission, with overarching requirements such as size, takeoff distance, and battery limitations. A complex set of rules such as these is meant to be difficult for even the best of teams to master, especially without proper organization and project management. This senior design report outlines the benefits of implementing systems engineering to the Zips Aero Design Team, through multiple …

Mitigating Supply Chain Disruptions In Retail Discount Department Stores, Anthony T. Patton

Walden Dissertations and Doctoral Studies

Supply chain disruptions can have adverse effects on business outcomes. Retail industry supply chain leaders are concerned with supply chain disruptions because supply chain disruptions can lead to dissatisfied customers and loss of profits. Grounded in game theory, the purpose of this multiple case study was to explore strategies four retail industry supply chain leaders in Northern Illinois and Northwest Indiana implemented to mitigate the effects of supply chain disruptions. Data were collected using semistructured virtual interviews with four retail industry supply chain leaders and a review of company documents. Through thematic analysis, four themes emerged: (a) choosing appropriate inventory …

Coaxial Beam Eaxle Modeling And Analysis For Gawr Limits, Alexander Cebriak, Jackson Foster, Chris James

Williams Honors College, Honors Research Projects

The goal of this project was to design three different models of a coaxial beam eAxle for a range of electric vehicles. The requirement was to satisfy three different loading conditions, each characterized by a GAWR. These three loading conditions were 3000lb, 7500lb, and 10,000lb. This was done by first creating a model based on a basic outline given by Schaeffler. This model was then analyzed using Ansys®, and then iterated upon by designing new models using the 3D design program Solidworks. The iteration process was continued using more Ansys® analysis, as well as calculations to determine things like bolt …

Hendrickson Lift Kit, Matthew Rozmajzl

Williams Honors College, Honors Research Projects

This research project will be completed with Hendrickson Trailer as the sponsor. The goal of the project is to create a lift kit for a newer suspension system. The lift kit must provide enough lift force to lift an axle off the road and suspend it off the road while in transit. There are similar systems offered for different products at Hendrickson, but the configuration of this system is such that new brackets must be designed. The benefit of such a system is a reduction in wear on the lifted tires, and thus an increase in the life of the …

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

Acceptance Of Interoperable Electronic Health Record (Ehrs) Systems: A Tanzanian E-Health Perspective, Emmanuel Mbwambo, Herman Mandari

Journal of International Technology and Information Management

The study assessed factors that influence the acceptance of interoperable electronic Health Records (EHRs) Systems in Tanzania Public Hospitals. The study applied a hybrid model that combined the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE). Snowball sampling technique was applied and a total of 340 questionnaires were distributed to selected clinics, polyclinics and hospitals, of which 261 (77%) received questionnaires were considered to be valid and reliable for subsequent data analysis. IBM SPSS software version 27.0 was employed for data analysis. Findings indicated that relative advantage, compatibility, management support, organizational competency, training and education, perceived ease of use, perceived usefulness, …

Analysis Of The Impact Of Vaccinations On Pandemic Metrics In The New York Metropolitan Area, Oredola A. Soluade, Heechang Shin, Robert Richardson

Journal of International Technology and Information Management

This study evaluates the relationship between pandemic cases and vaccination usage, ICU bed utilization, hospitalizations, and deaths in the New York City metropolitan area. The study includes variables for the lockdown period and confirmed infections. The evaluation addresses three periods: (1) before vaccinations, (2) after vaccinations, and (3) the lockdown period. In addition, the number of vaccines per day for the manufacturers (Pfizer, Moderna, and Johnson & Johnson) are included in the study. Comparisons with New Jersey and Connecticut are used to validate that New York statistics are consistent with other states. The results provide a general model of the …

Strategies Aircraft Manufacturing Organizational Leaders Use For Proper Material Pricing, Chin Kuei Jen

Walden Dissertations and Doctoral Studies

The lack of proper material pricing strategies can challenge manufacturers’ profitability and growth. Aircraft manufacturing leaders are concerned because understanding and developing material pricing strategies are essential to increasing profitability. Grounded in price theory, the purpose of this qualitative single case study was to explore strategies aircraft manufacturing organizational leaders use for proper material pricing estimates. The participants were four aircraft manufacturing organizational leaders from a successful aircraft manufacturing business located in the state of Georgia. Data were gathered from semistructured interviews and document reviews and analyzed using Yin’s five step approach. The four themes that emerged were the impact …

Enhanced Load Balancing Based On Hybrid Artificial Bee Colony With Enhanced Β-Hill Climbing In Cloud, Maha Zeedan, Gamal Attiya, Nawal El-Fishawy

Mansoura Engineering Journal

This paper proposes enhanced load balancer based artificial bee colony and β-Hill climbing for improving the performance metrics such as response time, processing cost, and utilization to avoid overloaded or under loaded situations of virtual machines. In this study, the suggested load balancer is called enhanced load balancing based on hybrid artificial bee colony with enhanced β-Hill climbing (ELBABCEβHC) to improve the response time, processing cost and the resource utilization. Our proposed approach starts by ranking the task then the greedy randomized adaptive search procedure (GRASP) is used in initializing populations. Further, the binary artificial bee colony (BABC) enhanced with …

Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran

College of Graduate Studies: Theses & Dissertations

Accessing websites with various devices has brought changes in the field of application development. The choice of cross-platform, reusable frameworks is very crucial in this era. This thesis embarks in the evaluation of front-end, back-end, and database technologies to address the status quo. Study-a explores front-end development, focusing on angular.js and react.js. Using these frameworks, comparative web applications were created and evaluated locally. Important insights were obtained through benchmark tests, lighthouse metrics, and architectural evaluations. React.js proves to be a performance leader in spite of the possible influence of a virtual machine, opening the door for additional research. Study b …