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Articles 3511 - 3540 of 13783
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Bibliometric Review Of Predictive Maintenance Using Vibration Analysis, Aashna Midha Ms., Ishita Maheshwari Ms., Kaushik Ojha Mr., Kritika Gupta Ms., Shripad V. Deshpande Mr.
Bibliometric Review Of Predictive Maintenance Using Vibration Analysis, Aashna Midha Ms., Ishita Maheshwari Ms., Kaushik Ojha Mr., Kritika Gupta Ms., Shripad V. Deshpande Mr.
Library Philosophy and Practice (e-journal)
Every day the world is depending more and more on machines in almost every aspect of life. With the increasing use of machines, there also needs to be an evolution in the maintenance of these machines. Predictive maintenance is a process used to monitor the equipment and machinery during its operation to detect any damages and/or deteriorations and enable the required maintenance plan in advance, resulting in reduced operational costs and full utilization of tools and parts. The fundamental goal of this bibliometric review paper is a comprehension of the extent and sources of the literature available for predictive maintenance …
Design And Sensitivity Analysis Of Blood Supply Chain Network, The Merits Of Lateral Resupply, Mohammad Arani
Design And Sensitivity Analysis Of Blood Supply Chain Network, The Merits Of Lateral Resupply, Mohammad Arani
Theses and Dissertations
The vibrant subject of blood banking and blood distribution is addressed where lateral resupply of blood products is allowed. In this research, a blood supply chain network design (BSCND) consisting of four conventional levels each of which corresponding to one entity in the real world is comprehensively studied: donors, blood collection facilities, blood centers, and hospitals. Two important properties are considered within the blood supply chain network (BSCN): ABO-Rh factors and shelf lives of blood products. Moreover, an integrated inventory system for sharing hospitals’ inventory levels is designed to investigate the two performance indicators of the network in terms of …
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo
USF Tampa Graduate Theses and Dissertations
The quadruple aim is an approach to optimize the performance of the health system in the United States and consists of four dimensions. The main objective is to improve the population's health, followed by reducing cost, improving patients' experience, and increasing providers' satisfaction. In the present doctoral dissertation, I explore three strategies that help accomplish the quadruple aim at the primary care level. The analysis combines data science and operation research principles to address health system engineering questions.
Each strategy proposed in this document emphasizes one objective more than another; however, all of them in conjunction serve to attain the …
The Probability Of Success-Through Fault Tree Analytical Binomial Result, Tyleka Riddle
The Probability Of Success-Through Fault Tree Analytical Binomial Result, Tyleka Riddle
Night Flight: Online Literary Journal
Prestigious Appeal Rule of Thumb (Ear Drum Plugs)
In truant fashion, with proven accidental probabilistic perception for proposed cued facial expression recognition and voice commands without filtering. The estimated cost analysis for design and development generated from the enhanced project in the word "no”: Additionally, an audio noise effect size (ES) for desired level of comprehensive sensory receptors in sound reference to noisy party syndrome. Sytoss, (2019) "Resulting in a cocktail party theory for chalkboard distinction and conversation with applied facial recognition. As well as, the enhanced project management tool, EPMT, to provide output and input determination for higher-level acoustic …
Fatigue Monitoring Through Wearable Sensors For Construction Workers, Srikanth Sagar Bangaru
Fatigue Monitoring Through Wearable Sensors For Construction Workers, Srikanth Sagar Bangaru
LSU Doctoral Dissertations
About 40% of the US construction workforce experiences high-level fatigue, which leads to poor judgment, increased risk of injuries, a decrease in productivity, and a lower quality of work. Excessive fatigue from working in unpleasant working conditions, long working hours, or heavy workloads can aggravate fatigue's adverse effects, leading to work-related musculoskeletal disorders (WMSDs) and productivity loss. Therefore, it is essential to monitor fatigue to reduce the adverse effects and preventing long-term health problems. However, since fatigue demonstrates itself in several complex processes, there is no single standard measurement method for fatigue detection. This research aims to develop a system …
Integration Of Blockchain Technology Into Supply Network For Resilient And Efficient Acquisition [Video], Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin, Cornel Vintila, Laura Manciu
Integration Of Blockchain Technology Into Supply Network For Resilient And Efficient Acquisition [Video], Adrian Gheorghe, Farinaz Sabz Ali Pour, Unal Tatar, Omer Faruk Keskin, Cornel Vintila, Laura Manciu
Engineering Management & Systems Engineering Faculty Publications
In the modern acquisition, it is unrealistic to consider single entities as producing and delivering a product independently. Acquisitions usually take place through supply networks. Resiliency, efficiency, and effectiveness of supply networks directly contribute to the acquisition system's resiliency, efficiency, and effectiveness. All the involved firms form a part of a supply network essential to producing the product or service. The decision-makers have to look for new methodologies for supply chain management. Blockchain technology introduces new methods of decentralization and delegation of services, which can transform supply chains and result in a more resilient, efficient, and effective supply chain. This …
Multilayer Perceptron With Auto Encoder Enabled Deep Learning Model For Recommender Systems, Subhashini Narayan
Multilayer Perceptron With Auto Encoder Enabled Deep Learning Model For Recommender Systems, Subhashini Narayan
Future Computing and Informatics Journal
In this modern world of ever-increasing one-click purchases, movie bookings, music, health- care, fashion, the need for recommendations have increased the more. Google, Netflix, Spotify, Amazon and other tech giants use recommendations to customize and tailor their search engines to suit the user’s interests. Many of the existing systems are based on older algorithms which although have decent accuracies, require large training and testing datasets and with the emergence of deep learning, the accuracy of algorithms has further improved, and error rates have reduced due to the use of multiple layers. The need for large datasets has declined as well. …
A Study Of Hygrometer Based On The Method Of Intracavity Laser Absorption, Abdulaziz Muminovich Nazarov Prof, Mirkomil Mirhidoyat Ogli Xasanov
A Study Of Hygrometer Based On The Method Of Intracavity Laser Absorption, Abdulaziz Muminovich Nazarov Prof, Mirkomil Mirhidoyat Ogli Xasanov
Chemical Technology, Control and Management
The article presents the results of experimental studies of a fiber-optic humidity sensor, the principle of operation of which is based on the method of intracavity laser absorption. A method of intracavity laser absorption is described, which makes it possible to dramatically increase the sensitivity of the fiber humidity sensor by switching to it. A schematic diagram of a fiber optical humidity sensor using a differential detection scheme and a design of an active ring laser fiber consisting of a diode pump laser, a fiber pump beam splitter, two directional couplers, a measuring ring laser, a ring comparison laser, two …
Application Of The Ultrasonic Generator In The Extractor And Determination Of Its Energy Consumption, Shaxnoza Abduvaxitovna Sultanova, Jasur Esirgapovich Safarov, Azamat Usenov, Doston Ishmuhammat Ogli Samandarov
Application Of The Ultrasonic Generator In The Extractor And Determination Of Its Energy Consumption, Shaxnoza Abduvaxitovna Sultanova, Jasur Esirgapovich Safarov, Azamat Usenov, Doston Ishmuhammat Ogli Samandarov
Chemical Technology, Control and Management
An ultrasonic generator was used in the Soxhlet extractor. To evaluate the process, the solvent flow was examined. The influence of the flow time in the Soxhlet on the process was analyzed. The formula for the residence time of streaming particles in the apparatus is given. A standardized volume curve V was formed. The time required for the solvent to remain in the apparatus is important during the extraction process. The description of the structure of flows of mass metabolic processes also means that it allows you to determine the movement and distribution of substances in these flows. Therefore, we …
Main Stages Of Automated System Of Processes For Determining And Ensuring Functional And Parametric Compatibility Of Production And Technological Systems, Sarvar Botir Ugli Nabiyev
Main Stages Of Automated System Of Processes For Determining And Ensuring Functional And Parametric Compatibility Of Production And Technological Systems, Sarvar Botir Ugli Nabiyev
Chemical Technology, Control and Management
This article presents the main stages of the development of an automated system of processes for determining and ensuring functional and parametric compatibility (FPC) of components of production and technological systems (PTS), in particular production and technological modules (PTM) of machine-building production, respectively, based on the analysis and systematization of technological zones of loading of the main technological equipment (MTE) and the construction of coating surfaces, the main parameters of industrial robots and storage systems (SS), determination and mathematical formalization of coating surfaces and guiding planes of MTE loading zones, formation of types of analytical dependences of FPC PTM functions, …
Errors Of Universal Contactless Converters Of Monitoring And Control Systems From External Magnetic Fields, A.M Plakhtiev, Gayratjon Gaziev, Yahyojon Meliboyev, Odil Doniyorov
Errors Of Universal Contactless Converters Of Monitoring And Control Systems From External Magnetic Fields, A.M Plakhtiev, Gayratjon Gaziev, Yahyojon Meliboyev, Odil Doniyorov
Chemical Technology, Control and Management
In communication and communication devices, power equipment, relay protection and automation terminals, in the electric power industry of "smart" cities and homes, in industry, in railway transport, microprocessor-based relay protection and automation devices, distributed generation installations, including renewable energy sources, and electricity storage, as well as "intelligent" automated information and measurement systems are beginning to be used. Contactless converters of direct and alternating currents of control and control systems are widely used in them. Their disadvantages are a narrow range of controlled currents, large dimensions and weight. Therefore, it is important to eliminate them. The paper discusses the general principles …
Development And Implementation Of Two-Dimensional Fault-Tolerant Programmable Logical Controllers, Azizbek Nodirbekovich Yusupbekov, Nodirjon Turgunboy Ugli Tulaganov, Khurshid Salim Ugli Turaev
Development And Implementation Of Two-Dimensional Fault-Tolerant Programmable Logical Controllers, Azizbek Nodirbekovich Yusupbekov, Nodirjon Turgunboy Ugli Tulaganov, Khurshid Salim Ugli Turaev
Chemical Technology, Control and Management
It has been revealed that a significant part of industrial control systems designed for technological facilities with more than one input and one output and the most widespread are objects with two inputs and two outputs.The article describes the programming environment for fault-tolerant two-dimensional control systems using PID controller, which software is implemented in an environment for programmable logic controllers (PLC).An experimental testing system has been implemented and software settings and regulator settings have been considered. Real-time PID controllers and filters have been implemented. It has been implemented a variation of the control system software with object imitation.
Production Of Lime-Ammonium Nitrate Based On Chalk, Nitrate And Ammonium Sulfate, O.X. Rasulov, Abdurasul Mamataliyev, M.X. Dadaxodjaeva, Sh.S. Namazov, B.M. Beglov
Production Of Lime-Ammonium Nitrate Based On Chalk, Nitrate And Ammonium Sulfate, O.X. Rasulov, Abdurasul Mamataliyev, M.X. Dadaxodjaeva, Sh.S. Namazov, B.M. Beglov
Chemical Technology, Control and Management
The article studies the process of obtaining carbonate-ammonium nitrate (CAN) based on the mixing of melt ammonium nitrate (NH4NO3) with chalk (СаСО3) and ammonium sulfate (NH4)2SO4). For the granulation of nitrate-sulfate-carbonate melt the prilling method is applied using a granulation tower. Determined the composition and properties of new types of fertilizers. It is shown that with the ratio NH4NO3 : СаСО3 : (NH4)2SO4 = 100 : 24 : 1 the product contains 28,03% N, SO3 – 0,50%, 10% …
Selection Of Mineral Raw Material Fields For Glauconite Sorption Materials, Diyor Xadjibayev, Furkat Ilyasovich Erkabaev
Selection Of Mineral Raw Material Fields For Glauconite Sorption Materials, Diyor Xadjibayev, Furkat Ilyasovich Erkabaev
Chemical Technology, Control and Management
Natural minerals, such as bentonite, kaolinite, biotite, vermiculite, and glauconite, which have sufficiently high performance properties in the softening of industrial and waste water, softening and cleaning of heavy metals, are promising. To study the physical and chemical properties of glauconites from various deposits of the country, samples of glauconite mineral were brought from the Parkent, Bukhara, and Karakalpak mountain reserves, their physical and chemical properties were studied, compared with each other, and the optimal reserve was selected. The reserves of these deposits are sufficient and have the potential for industrial development. The purpose of this study is to compare …
Mathematic Simulation Of Glass Melting Process In Glass Production, Shuhrat Manapovich Gulyamov, Azamat Toirovich Rajabov, Utkir Uktam Ugli Kholmanov
Mathematic Simulation Of Glass Melting Process In Glass Production, Shuhrat Manapovich Gulyamov, Azamat Toirovich Rajabov, Utkir Uktam Ugli Kholmanov
Chemical Technology, Control and Management
A systematic analysis of the technological process of glass melting as an object of automatic control and management has been carried out. As an object of automatic control with distributed parameters, the mathematical description of the glassmaking furnace operation has been developed (considering the main phenomenological features of the technological mode of glassmaking).In this paper, a mathematical description of charge melting process, additional heating by electric current, bubbling, thermal conductivity and heat fluxes during the processing of molten glass have been generated. Initial conditions and simplifying assumptions have been derived. The model is based on the equations of continuity, momentum …
Algorithms Of System Synthesis For Stabilizing Uncertain Dynamic Objects, Uktam Farkhodovich Mamirov
Algorithms Of System Synthesis For Stabilizing Uncertain Dynamic Objects, Uktam Farkhodovich Mamirov
Chemical Technology, Control and Management
The article deals with the formation of stable algorithms for the system synthesis for the stabilizing uncertain dynamic objects based on the method of local optimization in the presence of approximate mathematical models. The article analyzes the issues of building adaptive control systems using the concept of roughness, taking into account the assessment of the maximum allowable discrepancy between the object and its model. Some of the most constructive algorithms for determining pseudo-inverse matrices are given. When calculating the pseudo-inverse matrix of the control object, modified QR decomposition algorithms are used, obtained by deleting or assigning a column. The obtained …
Algorithms For Synthesis Of Discrete Controllers In Nonlinear Control Systems With Delay, Alisher Rajabaliyevich Mallayev, Suban Nurullayevich Xusanov
Algorithms For Synthesis Of Discrete Controllers In Nonlinear Control Systems With Delay, Alisher Rajabaliyevich Mallayev, Suban Nurullayevich Xusanov
Chemical Technology, Control and Management
Algorithms for the synthesis of discrete controllers in nonlinear control systems, taking into account the delay, have been proposed. The synthesized vector controller provides a solution to the control problem, for example, the translation of the image point of a closed system from arbitrary initial conditions to the origin of the phase space coordinates. Built on the basis of a series-parallel set of invariant manifolds, the dynamic discrete controller ensures the fulfillment of the specified technological requirements, the asymptotic stability of a closed discrete-continuous system, and has the property of predicting the behavior of the system after sampling. These algorithms …
Principles Of Eliminating The Impact Of Disturbances On Integrated Information And Analytical Systems, Orifjon Olimovich Zaripov, Umidjon Sharabidinovich Hamrakulov, Fatima Faxritdinovna Isxakova
Principles Of Eliminating The Impact Of Disturbances On Integrated Information And Analytical Systems, Orifjon Olimovich Zaripov, Umidjon Sharabidinovich Hamrakulov, Fatima Faxritdinovna Isxakova
Chemical Technology, Control and Management
Today, production management using integrated information and analytical systems and their integration with the elements of Industry 4.0 is considered one of the most pressing problems in all areas of production. The correct formation of the structure of information systems in their development contributes to the formation of elements of Industry 4.0 and their further full and high-quality integration into other areas. When implementing these processes, one of the most important steps is to reduce the impact of disturbances on integrated information and analytical systems. Taking into account the above, the article considers mathematical models of the principles of eliminating …
Queuing-Inventory Models With Map Demands And Random Replenishment Opportunities, Srinivas R. Chakravarthy, B. Madhu Rao
Queuing-Inventory Models With Map Demands And Random Replenishment Opportunities, Srinivas R. Chakravarthy, B. Madhu Rao
Industrial & Manufacturing Engineering Publications
Combining the study of queuing with inventory is very common and such systems are referred to as queuing-inventory systems in the literature. These systems occur naturally in practice and have been studied extensively in the literature. The inventory systems considered in the literature generally include (s, S)-type. However, in this paper we look at opportunistic-type inventory replenishment in which there is an independent point process that is used to model events that are called opportunistic for replenishing inventory. When an opportunity (to replenish) occurs, a probabilistic rule that depends on the inventory level is used to determine whether to avail …
Toppings Refinery Retrofit, Connor Meyer Gulledge
Toppings Refinery Retrofit, Connor Meyer Gulledge
Honors Capstone Projects and Theses
No abstract provided.
Robust Optimization With Recourse In Portfolio Management: Theory And Applications To Stocks And Projects, Hedieh Ashrafi, Aurelie Thiele
Robust Optimization With Recourse In Portfolio Management: Theory And Applications To Stocks And Projects, Hedieh Ashrafi, Aurelie Thiele
Operations Research and Engineering Management Theses and Dissertations
Many real-world decision problems in engineering and management have uncertain parameters. Robust optimization methodology takes into account the uncertainty in parameters of the model in the decision-making framework. In robust optimization methodology, we assume we do not know the probability distribution of parameters, and we have partial information about parameters. Portfolio management is one of those famous applications that have an uncertain environment. So, for this application, robust methodology would be a good choice. This dissertation contains three main works as the following:\\ In the first work, we provided the combination of European options and a robust optimization model to …
Understanding Of Aerosol Transmission Of Covid 19 In Indoor Environment - Part 2: Approaches To Mitigation, Adama Barro, Cathal O'Toole, Jacob S. Lopez, Matthew Quinones, Sherene Moore
Understanding Of Aerosol Transmission Of Covid 19 In Indoor Environment - Part 2: Approaches To Mitigation, Adama Barro, Cathal O'Toole, Jacob S. Lopez, Matthew Quinones, Sherene Moore
Publications and Research
The challenge we face in implementing solutions for new HVAC ventilation and filtration design, is to effectively improve air quality for virus mitigation without losing performance efficiency. The purpose of this improvement is to decontaminate the occupied enclosed areas, reducing the transmission of the corona virus aerosol transmission. Our research seeks reliable approaches to mitigate the further spread of aerosol transmission in indoor spaces. The methodology is to examine innovative HVAC engineering solutions that combat epidemiological problems of Covid-19 for the post-pandemic era, by researching scholarly articles and ASHRAE journals. We are achieving the goal of finding highly efficient resolutions …
The Effects Of At-Home Remote Work Environments On Human Cognitive Performance And Work Task Performance Based On Current Societal Conditions, Angela Arias
Doctoral Dissertations and Master's Theses
Home-based remote work systems present a unique set of cognitive performance and work task performance challenges to employees without remote work experience. The COVID-19 pandemic forced companies into transforming their work system structures, and their employee roles, without the preparation or education of the dynamics that surround home-based remote work systems. This thesis benefits the Human Factors community by investigating the effects of at-home remote-based work environments on cognitive performance, and work task performance, of employees who currently work remotely from home. A multimethod approach was employed to carry out this research. A survey was administered to home-based remote employees, …
An Examination Of Grid Stability As It Relates To The Increased Integration Of Inverter-Based Resources, Daniel Voss
An Examination Of Grid Stability As It Relates To The Increased Integration Of Inverter-Based Resources, Daniel Voss
Electrical Engineering Undergraduate Honors Theses
There is currently a growing interest in increasing the amount of renewable energy resources connected to the bulk electric system (BES) that stems from various environmental, political, and social concerns. However, the differences between conventional generation resources and inverter-based resources (IBR)—namely wind and solar—pose new issues that make this increased integration a larger problem. In other studies, the increased penetration of renewable energy resources has resulted in weak-grid systems that are more susceptible to collapse. This comes as a result from the inability for IBRs to effectively provide enough reactive power, an effect especially apparent during fault conditions, which the …
Topological Changes In The Functional Brain Networks Induced By Isometric Force Exertions Using A Graph Theoretical Approach: An Eeg-Based Neuroergonomics Study, Lina Ismail
Electronic Theses and Dissertations, 2020-2023
Neuroergonomics, the application of neuroscience to human factors and ergonomics, is an emerging science focusing on the human brain concerning performance at work and in everyday settings. The advent of portable neurophysiological methods, including electroencephalography (EEG), has enabled measurements of real-time brain activity during physical tasks without restricting body movements. However, the EEG signatures of different physical exertion activity levels that involve the musculoskeletal system in everyday settings remain poorly understood. Furthermore, the assessment of functional connectivity among different brain regions during different force exertion levels remains unclear. One approach to investigating the brain connectome is to model the underlying …
Improving Logistics Efficiency Through Collaborative Truck Routing, Patrick Dougherty
Improving Logistics Efficiency Through Collaborative Truck Routing, Patrick Dougherty
Industrial Engineering Undergraduate Honors Theses
The logistics industry is among the world’s largest and most essential. Specifically, trucking is a massive component of the modern logistics system. In 2012, truck transportation carried 68% of all freight tonnage in the U.S. However, trucking currently faces significant problems with efficiency and sustainability. Of all miles driven by trucks yearly in the U.S., 25% are driven with empty loads and 36% are driven with underutilized loads. In addition to this economic inefficiency, the industry faces social and environmental challenges. Driver turnover rates are near 100%, and trucking accounts for a significant level of greenhouse gas emissions. One potential …
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model, Matthew Walters
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model, Matthew Walters
Industrial Engineering Undergraduate Honors Theses
The transportation industry contributed around one trillion dollars to the economy in 2016 accounting for 8.9% percent of the GDP. In 2017, it was responsible for 1.5 billion tons of CO2 emissions. With the American Trucking agency predicting a 35% growth in the trucking industry between 2016 and 2027, there are rising concerns about the impact the trucking industry will have on the economy and the environment. The trucking industry is also very inefficient with many trucks driving with empty loads or with less than full capacity loads. There is potential to save billions of dollars and cut back …
Using Empirical Data To Design And Validate Hybrid Simulation Models Of Human Behavior In Service Operations, Mohammed Farhan
Using Empirical Data To Design And Validate Hybrid Simulation Models Of Human Behavior In Service Operations, Mohammed Farhan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The purpose of this research is to examine how a change in a team member's role, team dynamics, and organizational policies impact an individual's motivation to engage in helping behavior, as well as the impact of helping behavior on service system operational performance. To analyze these behavioral dynamics in a dynamic setting, this research integrates empirical human behavioral data into a hybrid discrete-event and agent-based simulation model of service operations in a restaurant. The model was then validated using Metamorphic Testing (MT), an approach that has previously been used for verification of software. Recent research shows that MT can be …
Locating Drone Battery Supply Stations To Facilitate The Delivery Of Medical Supplies In Low And Middle-Income Countries, Madeline Suellentrop
Locating Drone Battery Supply Stations To Facilitate The Delivery Of Medical Supplies In Low And Middle-Income Countries, Madeline Suellentrop
Industrial Engineering Undergraduate Honors Theses
In the sub-Saharan region of Africa, the inability to perform emergency blood transfusions due to an inadequate blood supply has led to high fatality rates, especially among women and children. The prevalence of disease in this region limits the supply of local blood donations and, if blood is imported, then the region’s poor infrastructure inhibits fast distribution. There is a need for a technological update in the current process that overcomes the limitations of regional transportation, and drones present one promising solution for delivering small, lightweight items such as blood units. The current focus of this new delivery method is …
Decision Making Within An Nfl Context Using Multiple Objective Decision Analysis, Lawson Porter
Decision Making Within An Nfl Context Using Multiple Objective Decision Analysis, Lawson Porter
Industrial Engineering Undergraduate Honors Theses
The National Football League (NFL) is the most popular sports league in the world, with millions of viewers every game and billions of dollars generated every season. Statistics are an important part of an NFL team’s business operating model and contribute greatly towards their decision making. Every season, general managers try to sign players that give the team the highest probability of winning games throughout the year. There are many factors that go into this decision, including the amount of money the team has to spend and the value that available players can bring to a team. Teams must abide …