Assessment Of Heavy Metal Concentration In Soils Around Geita The Gold Mine, Tanzania,
2021
udsm
Assessment Of Heavy Metal Concentration In Soils Around Geita The Gold Mine, Tanzania, Mariam G. Mgendi, Mkabwa L. K Manoko, W.J.S. Mwegoha, C. Southway C. Southway
Journal of Humanities and Social Sciences
Health issues related to gold mining cannot be underestimated. Gold mining produce acid mine drainage (AMD), which in turn releases heavy metals into the nearby environment, hence causing environmental pollution. Heavy metals are naturally very toxic, thus pose a great health concern especially when their concentration exceeds the recommended permissible limits. In this study, concentrations of five heavy metals—including Pb, Ni, Cr, Cu and Zn—were assessed in the soil around Geita Gold Mine (GGM). A total of 17 sampling sites were established from which the soil samples were collected at 0-15cm and 15-30cm soil depth. The concentration of both total …
Adaptive Task Allocation In Automated Vehicles,
2021
Old Dominion University
Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen
Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues
Adaptive task allocation is used in many human-machine systems and has been proven to improve operators’ monitoring and/or performance with automated systems. However, there is little knowledge surrounding the benefits of adaptive task allocation in automated vehicles. In this study, participants were presented with media depicting driving scenarios of both low and high workload at two levels of automation. The participants reported which tasks they felt comfortable allocating to themselves or to the automated system in each driving scenario, as well as whether they would conduct the task allocation manually or have the automated system automatically allocate the tasks. The …
Intelligent Healthcare Process Discovery And Operational Coordination Using Discrete Event Simulation And Machine Learning,
2021
Wayne State University
Intelligent Healthcare Process Discovery And Operational Coordination Using Discrete Event Simulation And Machine Learning, Suleyman Yildirim
Wayne State University Dissertations
The healthcare system in the US is rapidly changing and reshaping to adopt continuously evolving demand for improved operational efficiency and treatment effectiveness from patients and providers in critical health services. Healthcare service systems and clinical treatment operations need to be more predictable to increase operational efficiency through proactive operations management. This research contributes to the literature by discovering clinical processes and calibrating discrete-event simulation models in healthcare service systems using data-driven and process-driven predictive models. Unlike the data-driven predictive approaches such as machine learning and statistical methods, the proposed methodologies in this thesis leverages and focuses on process-based methods …
Medical Surge Capability: Performance Modeling Of Hospital Emergency Departments,
2021
Wayne State University
Medical Surge Capability: Performance Modeling Of Hospital Emergency Departments, Egbe-Etu Emmanuel Etu
Wayne State University Dissertations
Hospitals are faced with significant challenges during and after natural or human-caused disasters. Surge planning is a critical component of every healthcare facility’s emergency plan and response system. The process of managing and allocating scarce resources by tackling the vulnerability inherent to patients means that defining improvement priorities is one of the main challenges healthcare systems face when responding to a medical surge event (e.g., COVID-19). The consequences of these challenges include increased patient mortality, ambulance diversion, long wait times, and unavailability of beds. Previous efforts in hospital operations management have successfully applied operations research techniques in analyzing and optimizing …
Methods To Integrate Domain Expert User Knowledge Into Process Discovery,
2021
Wayne State University
Methods To Integrate Domain Expert User Knowledge Into Process Discovery, Jasim Alnahas
Wayne State University Dissertations
Process Mining (PM) is a new era in business development management that reinforces business process sustainability. Process Mining uses various techniques to discover the process model and identify the root cause analysis of process delays based on the event log. There are three main types of process models: procedural models, declarative models, and hybrid models. Procedural models tend to discover the main pattern of the activity flows in the process. In contrast, declarative models analyze the process behavior and express this behavior as a compact set of rules between pair of two activities. Hybrid models are a combination of procedural …
Effective Project Management And The Role Of Quality Assurance Throughout The Project Life Cycle,
2021
Old Dominion University
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 …
Dynamic Analysis Of The Implementation Of The Blockchain Technology In The Supply Chain,
2021
University of Central Florida
Dynamic Analysis Of The Implementation Of The Blockchain Technology In The Supply Chain, Rehab Ali
Electronic Theses and Dissertations, 2020-2023
Blockchain technology is a new digital technology that has been disrupting the way businesses are performing. It is a decentralized and distributed ledger that enables transactions of any form of value. As blockchain technology provides visibility, transparency, and security through the multi-agent system, the supply chain sector is one of its critical and promising applications. In a highly dynamic environment, the supply chain's efficiency needs to be measured from a blockchain perspective. As the main benefit of blockchain technology is the visibility and real-time access to data, blockchain technology's preeminent affected areas within the supply chain are the responsiveness to …
Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics,
2021
Wayne State University
Integrated Optimization And Learning Methods Of Predictive And Prescriptive Analytics, Mehmet Kolcu
Wayne State University Dissertations
A typical decision problem optimizes one or more objectives subject to a set of constraints on its decision variables. Most real-world decision problems contain uncertain parameters. The exponential growth of data availability, ease of accessibility in computational power, and more efficient optimization techniques have paved the way for machine learning tools to effectively predict these uncertain parameters. Traditional machine learning models measure the quality of predictions based on the closeness between true and predicted values and ignore decision problems involving uncertain parameters for which predicted values are treated as the true values.Standard approaches passing point estimates of machine learning models …
Predicting The Geometrical Disassembly Feasibility Of Mechanical Assemblies In Design Phase,
2021
Wayne State University
Predicting The Geometrical Disassembly Feasibility Of Mechanical Assemblies In Design Phase, Header Alrufaifi
Wayne State University Dissertations
Disassembly of products has gained more and more attention due to the economic, environmental, and social benefits and the contribution to the protection of natural resources [1]. Where, disassembly is the first and usually the most critical and challenging process in most recovery processes (i.e. remanufacturing, reuse, maintenance, and recycling processes) which are essential reverse flows in circular economy systems. As policies, regulations, products, and systems move towards and strive for a circular economy, it is increasingly vital that disassembly analysis, models, and methods are feasible during development and manufacturing life-cycle stages. However, checking disassembly feasibility is considered a critical …
Strategies For Implementing Internet Of Things Devices In Manufacturing Environments,
2021
Walden University
Strategies For Implementing Internet Of Things Devices In Manufacturing Environments, Todd Efrain Hernandez
Walden Dissertations and Doctoral Studies
The Internet of Things (IoT) has been exploited as a threat vector for cyberattacks in manufacturing environments. Manufacturing industry leaders are concerned with cyberattacks because of the associated costs of damages and lost production for their organizations. Grounded in the general systems theory, the purpose of this multiple case study was to explore strategies electrical controls engineers use to implement secure IoT devices in manufacturing environments. The study participants were eight electrical controls engineers working in three separate manufacturing facilities located in the Midwest region of the United States. The data were collected by semistructured interviews and 15 organizational documents. …
Neural Signatures Of Human Perception Of Effort And Comfort In Isometric Arm Force Exertions By Males,
2021
University of Central Florida
Neural Signatures Of Human Perception Of Effort And Comfort In Isometric Arm Force Exertions By Males, Raul Fernandez Sumano
Electronic Theses and Dissertations, 2020-2023
Understanding the brain's electrical activity provides objective evidence of different psychophysical phenomena related to manual handling tasks. The primary objective of this research was to assess the neural signatures of human physical efforts and perceived comfort in isometric arm exertions. Two experiments were conducted with male participants (n=20) who applied isometric forces at 1) different levels of exertion and 2) different levels of physical comfort. EEG signals, the rate of perceived exertion (RPE), and the rate of perceived physical comfort (RPC) have been recorded. The results showed statistically significant differences in EEG's power spectral density (PSD) at different brain regions …
Factors That Affect The Successful Implementation Of Quality Management Systems In Healthcare,
2021
University of Central Florida
Factors That Affect The Successful Implementation Of Quality Management Systems In Healthcare, Mustafa Rawshdeh
Electronic Theses and Dissertations, 2020-2023
Modern Organizations must be high performing to sustain and grow their operations. This is particularly true for healthcare organizations as they have complex and sensitive operations. One way to improve organizational performance is to adopt Quality Management Systems (QMSs). QMSs organize and improve the effectiveness of all processes to meet stakeholder requirements and achieve organizational performance improvements in alignment with strategic goals. However, the value of QMSs is dependent on successful implementation, which is reportedly quite challenging. This doctoral research examines the factors that affect the successful implementation of QMSs in healthcare. First, a systematic analysis of the published literature …
A Framework For Mitigating Obsolescence In Military Based Systems,
2021
University of Central Florida
A Framework For Mitigating Obsolescence In Military Based Systems, Ryan Rust
Electronic Theses and Dissertations, 2020-2023
Obsolescence is an unavoidable reality in manufacturing systems and supply chain environments as systems are needed to be sustained for longer and longer periods of time. These extended life cycle products include airplanes, ships, industrial equipment, medical equipment, and military systems. The United States military has coined this issue as Diminishing Manufacturing Sources and Material Shortages (DMSMS). Research shows that the main areas of concern for obsolescence are cost optimization, obsolescence management, system life cycle, design/system refresh planning, architecture/open systems, and end-of-life (EOL) predictions. This effort suggests a need for a more effective management approach to tackling obsolescence with an …
Eeg-Based Signatures Of Isometric Arm Forces By Females At Different Levels Of Physical Exertion And Comfort,
2021
University of Central Florida
Eeg-Based Signatures Of Isometric Arm Forces By Females At Different Levels Of Physical Exertion And Comfort, Mahjabeen Rahman
Electronic Theses and Dissertations, 2020-2023
In recent years, electroencephalography (EEG) has become a valuable technique for ergonomics studies of physical activities and other real-life tasks. Since the perception of force exertion is influenced by various psychophysical, cognitive, and social factors, different subjective measures have been traditionally used to measure the perception of physical exertion and related body discomfort. Along with the subjective measures, research showed that neural signals are also necessary objective measures to understanding human perception of physical tasks. However, EEG signatures of different physical exertion levels and perceived physical comfort have not been explored. The main objective of this study was to investigate …
Investigating The Interaction Effects Of Green Product Development And Countries Green Growth Performance: Economic Complexity Perspective,
2021
University of Central Florida
Investigating The Interaction Effects Of Green Product Development And Countries Green Growth Performance: Economic Complexity Perspective, Seyyedmilad Talebzadehhosseini
Electronic Theses and Dissertations, 2020-2023
For many years, natural resources have been used as the main input of production process in countries around the world, which has caused many problems to our planet such as rapid climate change, loss of biodiversity, drastic environmental events, and social problems. In recent years, pressure on countries to transition to cleaner production processes to mitigate problems arising from using natural resources has increased. As a result, green products have become a point of interest due to their low environmental impact, and green product development has become an important part of green growth policies for many countries. Green product development …
An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes,
2021
Faculty of Engineering
An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes, Penpak Rangsipunyaporn
Chulalongkorn University Theses and Dissertations (Chula ETD)
Data analytics is a powerful tool to deliver value-added internal audit results as it reduces execution time and increases efficiency, effectiveness, and assurance level compared with the audit sampling approach. Because detection rules are criteria applied in the data analytics method to discover anomalies in the business transactions. Therefore, this project aims to improve the anomaly detection rules in the procure-to-pay and inbound inventory processes for an audit firm based in Thailand to provide internal audit services for clients in the manufacturing business. The sub-processes cover (1) process governance, (2) vendor selection, evaluation, and master data maintenance, (3) ordering, (4) …
Total Quality And Innovation Management In Hospital,
2021
Faculty of Engineering
Total Quality And Innovation Management In Hospital, Suebsakul Tonjang
Chulalongkorn University Theses and Dissertations (Chula ETD)
Previously, quality of care and customers' satisfaction in healthcare services is fulfilled only through total quality management (TQM) which as a core management philosophy, as adopted by many healthcare organizations. Nevertheless, TQM focuses on incremental improvement may prove insufficient to address the new technology and innovation-driven organization with a faster pace. Therefore, this research aimed to integrate quality and innovation management in healthcare affecting healthcare performance. To propose the key factor of both TQM and innovation management in healthcare, we conducted a systematic literature review. Then, TQM and innovation management factors were combined and integrated with ISO 56002 as to …
A Machine Vision Based Automated Quality Control System For Product Dimensional Analysis,
2021
The University of Texas Rio Grande Valley
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,
2021
The University of Texas Rio Grande Valley
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,
2021
The University of Texas Rio Grande Valley
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) …
