Lean Six Sigma Body Of Knowledge For Healthcare Industry Administrators: Implementation Of Lessons Learned In Applied Engineering,
2023
The University of Texas at Tyler
Lean Six Sigma Body Of Knowledge For Healthcare Industry Administrators: Implementation Of Lessons Learned In Applied Engineering, Mohammed Ali
Technology Faculty Publications and Presentations
The purpose of this paper is to propose a Lean Six Sigma (LSS) course curriculum for healthcare administration and management majors. It identifies the relevant opportunities and challenges for the application of LSS within the healthcare industry. The paper also discusses the cultural changes necessary to provide an appropriate climate for its long-term success. This work contains a comprehensive description of the body of knowledge in LSS, which were successful in applied engineering. Additionally, the paper describes how LSS may be applied in the hospital setting to improve processes in patient-care services. Upon successful completion of the course, the healthcare …
Wire Deflection Investigation During Wedm Of Aisi 304 Stainless Steel: An Experimental And Numerical Study,
2023
Associate Professor, Production & Mechanical Design Engineering Department, Faculty of Engineering, Mansoura University, Egypt. Programs Director, Faculty of Engineering, New Mansoura University, Egypt
Wire Deflection Investigation During Wedm Of Aisi 304 Stainless Steel: An Experimental And Numerical Study, Sara A. El-Bahloul, Mohamed G. Elkhateeb
Mansoura Engineering Journal
Wire electrical discharge machining (WEDM) is a specific form of electrical discharge machining that employs a small diameter wire electrode to cut a narrow kerf in the workpiece. Since the wire deflection has a negative effect on the performed cutting, this research seeks to study the resultant wire deflection during WEDM of AISI 304 stainless steel. This study is performed with the help of three types of modeling; namely, mathematical modeling, experimental modeling, and thermo-mechanical finite element modeling. The mathematical modeling is performed to analyze the stresses and the wire lag, while the experimental modeling is achieved to observe the …
Evaluating The Chief Of Staff Of The Air Force 2016 Initiative To Revitalize The Squadron: A Thematic Content Analysis Of Appreciative Inquiry Mechanisms,
2023
Air Force Institute of Technology
Evaluating The Chief Of Staff Of The Air Force 2016 Initiative To Revitalize The Squadron: A Thematic Content Analysis Of Appreciative Inquiry Mechanisms, John M. Huntz
Theses and Dissertations
A thorough thematic analysis and literature review were undertaken to understand better the integration of AI mechanisms within the Revitalize the Squadron initiative. To facilitate the initiative's implementation, the aim is to provide commanders with practical instances, dimensions, findings, and results. Throughout the coding process, instances of AI’s mechanisms were discovered in the literature. The link between PE and HQR boosted the overall vitality within the squadron, where vitality was determined to be the goal. AI, as a whole, was not found in the literature, but the analysis determined that the Revitalize the Squadron initiative was “Appreciative” in nature.
Advances In Quaternion-Valued Neural Networks,
2023
Air Force Institute of Technology
Advances In Quaternion-Valued Neural Networks, Jeremiah P. Bill
Theses and Dissertations
This dissertation investigates the construction, optimization, and application of quaternion neural networks (QNNs) to Department of Defense (DoD) related problem sets. QNNs are a type of neural network wherein the weights, biases, and input values are all represented as quaternion numbers. This work provides a critical evaluation of the myriad different quaternion backpropagation derivations that exist in the literature, testing the performance of each on a range of regression problem sets. The optimization dynamics of QNNs are explored, presenting visualizations of QNN loss surfaces and a novel method for assessing the “smoothness” of these loss surfaces. Finally, this dissertation presents …
Test Problem Generation And Metaheuristic Selection For The Multidemand Multidimensional Knapsack Problem,
2023
Air Force Institute of Technology
Test Problem Generation And Metaheuristic Selection For The Multidemand Multidimensional Knapsack Problem, Matthew E. Scherer
Theses and Dissertations
This work focuses on instance generation methods for the multi-demand multidimensional knapsack problem (MDMKP). Specifically, instance space analysis (ISA) is used to characterize the landscape of existing instances and validate the novelty of new instances generated with a novel problem generation method, the primal problem instance generator (PPIG). The instance generator is capable of producing feasible, diverse, and challenging instances by directly controlling the problem features. PPIG contributes to the previous collections of instances and is validated through instance space analysis. The research presents an in-depth empirical evaluation of existing solution procedures for the MDMKP. The portfolio of metaheuristics examined …
Improving Deep Reinforcement Learning Methodology For Autonomous Defense And Escort Of Military High-Value Assets,
2023
Air Force Institute of Technology
Improving Deep Reinforcement Learning Methodology For Autonomous Defense And Escort Of Military High-Value Assets, Joseph Liles Iv
Theses and Dissertations
This dissertation explores the application of machine learning to the control of autonomous unmanned combat aerial vehicles (AUCAVs). In particular, this research applies deep reinforcement learning methodologies to a defensive air combat scenario wherein a fleet of AUCAVs protects a military high-value asset (HVA). A collection of air battle management scenarios along with an original simulation environment and a set of designed computational experiments support the approximation of high-quality decision policies by employing Markov decision processes, approximate dynamic programming algorithms, and deep neural networks for value function approximation.
Network Vulnerability Identification For The Material Routing Problem,
2023
Air Force Institute of Technology
Network Vulnerability Identification For The Material Routing Problem, Carson G. Long
Theses and Dissertations
This dissertation considers the importance of identifying spatiotemporal vulnerabilities in ground distribution networks and uses operations research methods to formulate models that allow military logistic planners to implement prevention and mitigation measures regarding the routing of personnel, equipment, and supplies in contested Areas of Responsibility (AOR). For optimization models relating to identifying spatiotemporal network vulnerabilities in distribution networks, this work leverages game theory, mixed-integer programming, multi-objective optimization, and metaheuristics to inform mitigation measures for shipment routing. This research has three related components: the first component develops a multi-objective mathematical program to identify spatiotemporal vulnerabilities via myopic heuristic identification, in combination …
Grasp Solution Approach For The E-Waste Collection Problem,
2023
Singapore Management University
Grasp Solution Approach For The E-Waste Collection Problem, Aldy Gunawan, Dang Viet Anh Nguyen, Pham Kien Minh Nguyen, Pieter Vansteenwegen
Research Collection School Of Computing and Information Systems
The digital economy has brought significant advancements in electronic devices, increasing convenience and comfort in people’s lives. However, this progress has also led to a shorter life cycle for these devices due to rapid advancements in hardware and software technology. As a result, e-waste collection and recycling have become vital for protecting the environment and people’s health. From the operations research perspective, the e-waste collection problem can be modeled as the Heterogeneous Vehicle Routing Problem with Multiple Time Windows (HVRP-MTW). This study proposes a metaheuristic based on the Greedy Randomized Adaptive Search Procedure complemented by Path Relinking (GRASP-PR) to solve …
Analysis Of Multi-Agent Routing Solution Methodologies Exploring A Mosaic Warfare Strategy,
2023
Air Force Institute of Technology
Analysis Of Multi-Agent Routing Solution Methodologies Exploring A Mosaic Warfare Strategy, Stephen D. Donnel
Theses and Dissertations
Recognizing that communication between assets may be possible locally but not globally (e.g., due to disruptions to a communication network), Mosaic Warfare requires the movement and operation of multiple, dispersed assets in smaller groups (i.e., tiles), within which exist hierarchical, functional relationships between assets. This research first evaluates a heuristic for an enterprise of aerial assets comprised of airborne sensors, command and control, and strike aircraft seeking to move towards and destroy stationary targets. Next, we examine routing multiple assets of different types over a network to service demands in a collaborative manner, in that, when servicing a demand, …
Understanding Multi-Homing And Switching By Platform Drivers,
2023
Massachusetts Institute of Technology
Understanding Multi-Homing And Switching By Platform Drivers, Xiaotong Guo, Andreas Haupt, Hai Wang, Rida Qadri, Jinhua Zhao
Research Collection School Of Computing and Information Systems
Freelance drivers in the shared mobility market frequently switch or work for multiple platforms, affecting driver labor supply. Due to the importance of driver labor supply for the shared mobility market, understanding drivers’ switching and multi-homing behavior is vital to managing service quality on – and effective regulation of – mobility platforms. However, a lack of individual-level data on driver behavior has thus far impeded a deeper understanding. This paper taxonomizes and estimates perceived switching and multi-homing frictions on mobility platforms. Based on a structural model of driver labor supply, we estimate switching and multi-homing costs in a platform duopoly …
Constrained Multiagent Reinforcement Learning For Large Agent Population,
2023
Singapore Management University
Constrained Multiagent Reinforcement Learning For Large Agent Population, Jiajing Ling, Arambam James Singh, Duc Thien Nguyen, Akshat Kumar
Research Collection School Of Computing and Information Systems
Learning control policies for a large number of agents in a decentralized setting is challenging due to partial observability, uncertainty in the environment, and scalability challenges. While several scalable multiagent RL (MARL) methods have been proposed, relatively few approaches exist for large scale constrained MARL settings. To address this, we first formulate the constrained MARL problem in a collective multiagent setting where interactions among agents are governed by the aggregate count and types of agents, and do not depend on agents’ specific identities. Second, we show that standard Lagrangian relaxation methods, which are popular for single agent RL, do not …
Use Of Neural Networks In Intelligent Measurement Tools,
2023
Tashkent State Technical University, Address: Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan, E-mail: [email protected];
Use Of Neural Networks In Intelligent Measurement Tools, N.R Yusupbekov, Y.Sh. Avazov, Umidjon Ruziev Phd
Chemical Technology, Control and Management
The paper presents algorithms for processing the measurement signal with the possibilities of adaptation, learning and decision making. A comparative analysis of the methods of intellectual processing of measurement data is carried out. A model of a measuring instrument for determining the structure of a neural network has been developed. The problem of error reduction due to measurement noise filtering with the use of neural networks is considered. The structure of the neural network has been developed for intelligent processing of the measurement signal and ensuring the implementation of the functions of reconfiguration, calibration, self-diagnosis and self-control. A neural network …
Results Of The Study Of The Pumpkin Drying Process,
2023
Tashkent state technical university named after Islom Karimov, Address: 2, University str., 100095, Tashkent, Uzbekistan. E-mail: [email protected];
Results Of The Study Of The Pumpkin Drying Process, Jasur Esirgapovich Safarov, Shahnoza Abduvakhitovna Sultanova, Andrey Svyatoslavovich Ponasenko, Gani Toshkhujaevich Dadaev
Chemical Technology, Control and Management
The article presents the results of the study of the pumpkin drying process, comparisons with different drying models are carried out. A mathematical model for numerical analysis has been developed. Pumpkin drying rates are calculated and various drying models are investigated. 5 different drying models were used to verify the accuracy of experimental data and search for the most suitable model. The experimental data obtained for the drying air temperature of 45 °C, 55 °C and 65 °C were applied to various drying models.
Systematic Analysis Of Methods Of Control Of Dynamic Objects In Conditions Of Non-Measurable Disturbances,
2023
doctor of technical sciences, Associate Professor of the department “Information Processing Systems and Control” at Tashkent state technical university named after Islam Karimov, Address: 100095, University str. 2, Tashkent, Uzbekistan, E-mail: [email protected], Phone: (90) 900-56-25;
Systematic Analysis Of Methods Of Control Of Dynamic Objects In Conditions Of Non-Measurable Disturbances, Mamirov Farkhodovich Uktam, Buronov Mamurjon Ugli Bunyod
Chemical Technology, Control and Management
The article presents a systematic analysis of control methods of dynamic objects under non-measurable disturbances. It is important to study all the factors affecting the control object in order to increase the efficiency of the control system. Due to the immeasurable nature of disturbances affecting control objects, it is shown that they cause negative effects and increase the complexity of control systems in this case. In the control of dynamic objects of this type, the possibilities of control by indirect measurement of disturbances or by estimation of object position and disturbances have been explored. The use cases, shortcomings and achievements …
Development Of The Computer Model Of The Waste Water Treatment Process Using Ion-Exchange Resins In The Matlab Program,
2023
Tashkent institute of chemical technology. Address:.Navoi Street, 32, Tashkent, Uzbekistan, 100011. E-mail: [email protected], Phone: +998938032741;
Development Of The Computer Model Of The Waste Water Treatment Process Using Ion-Exchange Resins In The Matlab Program, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Adham Tilovovich Norkobilov, Orifjon Sharipovich Kodirov
Chemical Technology, Control and Management
In this work, a mathematical model of industrial wastewater treatment technology was formed. First, wastewater treatment technologies were analyzed and the technology of ion-exchange resin treatment was selected. A water purification device using ion-exchange resins was made, and tested on the Kungrad soda plant and the results were obtained. According to these results, it was determined that the cleaning coefficient of the device is up to 98-99%. In this article, a mathematical model of a wastewater treatment device using ion-exchange resins was developed using the stoichiometric matrix method. After the mathematical model of the process was found, a graph of …
The Morphology Analysis Of Soil In Remote Sensing Image Processing,
2023
Digital technologies and artificial intelligence research institute, Tashkent, Uzbekistan. E-mail: [email protected];
The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev
Chemical Technology, Control and Management
This article analyzed various techniques used in satellite image processing to analyze soil morphology. Analysis of soil morphology using satellite imagery plays a crucial role in soil science research, Land Management, and environmental monitoring. It provides an economical and efficient means of studying large-scale soil variability, providing information on land sustainable use, resource management and soil conservation decisions.
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises,
2023
Doctor of Technical Sciences, Professor of the Department of Automation of Production Processes, Tashkent State Technical University named after Islam Karimov. Address: 100095, University str. 2, Tashkent, Uzbekistan. E-mail: [email protected], Phone: +998-94-612-67-08.
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises, Yusuf Shodiyevich Avazov, Kamola Rustamovna Abdullaeva
Chemical Technology, Control and Management
A principle has been proposed for constructing computer simulators for improving the qualifications of process control operators at industrial enterprises and for training students of higher educational institutions. The capabilities of a computer simulator that can be used as a digital assistant are revealed. Their architecture for building digital simulators is proposed. From the architecture it is clear that the computer simulator consists of two systems. The training process management system and the server of the computerized simulator are combined into a digital simulator. Simulators in this category provide student operators with the opportunity to develop skills in self-control of …
Obtaining Sweet Molasses By The Method Of Hydromechanical And Enzymatic Processing Of Grain,
2023
Tashkent state technical university named after Islom Karimov, Address: 2, University str., 100095, Tashkent, Uzbekistan.
Obtaining Sweet Molasses By The Method Of Hydromechanical And Enzymatic Processing Of Grain, Sadritdin Maxamatdinovich Turabdjanov, Kamoliddin Ahmadjonovich Mahmudov, Bexzod Alisherovich Kasimov, Kasun Dissanayake Kumara
Chemical Technology, Control and Management
Methods of hydrolysis of grains to starch under the influence of hydrodynamic and enzymatic processes are logically based. Polysaccharides derived from starchy grains are known and popular in the food industry for their thickening and stabilizing properties. To date, studies that allow for a deeper understanding of the mechanism of interaction of polysaccharide-containing products with their main components, the effect on the set of rheological, organoleptic, physico-chemical properties of food products that determine their functions are relevant.
Mathematical Model Of An Industrial Robot Built On The Basis Of Linear Motion Mechatron Modules,
2023
Tashkent state technical university named after Islom Karimov, Address: 2, University str., 100095, Tashkent, Uzbekistan. E-mail: [email protected],
Mathematical Model Of An Industrial Robot Built On The Basis Of Linear Motion Mechatron Modules, Matyokubov Nurbek Rustamovich, Rakhimov Temurbek Omonboyevich
Chemical Technology, Control and Management
The use of Industry 4.0 technologies in modern production serves to increase production efficiency. Robots and robotic complexes with innovative intelligent control are widely used in industrial production. However, studying their mechanical part, linear motion mechatronic modules and control system is a complex object. The variety and complexity of control methods and operating modes negatively affects the operator's working time and production productivity. In such cases, it is necessary to improve control methods and develop technologies used in industry, including robots and robotic manipulators, which allow to perform short movements with high accuracy and speed. In the article, the mathematical …
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems,
2023
Tashkent State Technical University, Address: Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan E-mail: [email protected], Phone+998-90-359-52-68;
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay
Chemical Technology, Control and Management
The paper presents the possibilities of using evolutionary algorithms to solve the problem of optimizing the operation modes of electric power facilities in the presence of constraints in the form of inequalities and equalities. The limits of constraints have a variable character, depending on the generated and consumed energy. Existing methods used for the optimization of modes are based on general principles and approaches to optimization, which usually adapt to the specifics of the problem. In electric power facilities, optimization problems have some peculiarities, among which is the presence of multiple constraints applied to both independent and dependent variables. Many …
