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Articles 61 - 90 of 139
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is cheaply available, making it a good choice for the generation of electricity on a large scale. However, one major problem associated with using coal for combustion is that it produces a group of pollutants known as nitrogen oxides (NOx). NOx are strong oxidizers and contribute to ozone formation and respiratory illness. The Environmental Protection Agency (EPA) regulates the quantity of NOx emitted to the atmosphere in …
A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos
A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Sustainability of energy systems is one of the most important challenges currently facing humanity. Access to energy is critical to ensure economic and social development of a nation (UNDP et al., 2000); however, extraction, production and consumption of energy resources are also associated with high volumes of greenhouse gas (GHG) emissions, environmental damage and, in some cases, adverse health effects in communities where energy facilities are located. Renewable energy sources have been considered as an alternative to traditional energy sources to meet energy demand in a sustainable manner (Del Rio and Burguillo, 2008). Wind energy is considered to be one …
Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan
Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving linear programming problems. Here we use the simplex method in an active-set frame work to improve it substantially. In general an active-set method obtains solutions by adding one or more problem constraints at a time to solve smaller problems iteratively. In particular, some of these methods have proven to perform significantly faster than the simplex method. In this dissertation we proposed an e?cient constraint selection metric …
Implementation Process For Automated Data Analysis In Mineral Extraction Companies, Richard A. Leach
Implementation Process For Automated Data Analysis In Mineral Extraction Companies, Richard A. Leach
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The need to determine knowledge from increasing amounts of information and raw data is a current and ongoing goal [1]. As technology continues to advance in the ability to collect and save more and more data, companies today must assimilate and understand this information as a valuable resource [2]. Companies in marketing and sales have found the use of a data warehouse and automated data analysis to be valuable resources [2]. This automated analysis of data has also been implemented in disciplines including scientific and medical research [2]. However, there continue to be other lower tech industrial areas of activity …
Evaluate The Impact Of Sustainability And Pipeline Quality On Global Crude Oil Supply Chain, Sunny Paraskumar Jain
Evaluate The Impact Of Sustainability And Pipeline Quality On Global Crude Oil Supply Chain, Sunny Paraskumar Jain
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
United states is one of the largest crude oil producer in the world but the consumption rate is higher than production hence united states imports oil from varies part of world depend on different criteria. The objective of this dissertation is to evaluate the impact of pipeline quality and facility sustainability on crude oil supply chain cost for Russia and Colombia that gave idea about when and where we have to invest to satisfy United states oil requirement. In order to meet this objective, three specific criteria are investigated as follow:1. Evaluate the supply chain factors that determine pipeline quality …
Two-Stage Stochastic Programming In Adaptive Interdisciplinary Pain Management, Na Wang
Two-Stage Stochastic Programming In Adaptive Interdisciplinary Pain Management, Na Wang
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Chronic pain is a global health problem. About 100 million adult Americans suffering from chronic pain, which costs $560 - $635 billion per year. The Eugene McDermott Center for Pain Management at the University of Texas Southwestern Medical Center at Dallas conducted a two-stage pain management program for patients who suffer from chronic pain. Data information such as patient’s parameter, past treatment, pain outcome at different evaluation point and so on has been collected by the McDermott Center. The University of Texas at Arlington is collaborating with the McDermott Center to find optimal treatment strategies for individual patients.A treatment strategy …
High-Dimensional Adaptive Dynamic Programming With Mixed Integer Linear Programming, Zirun Zhang
High-Dimensional Adaptive Dynamic Programming With Mixed Integer Linear Programming, Zirun Zhang
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Dynamic programming (DP, Bellman 1957) is a classic mathematical programming approach to solve multistage decision problems. The “Bellman equation” uses a recursive concept that includes both the current contribution and future contribution in the objective function of an optimization. The method has potential to represent dynamic decision-making systems, but an exact DP solution algorithm is limited to small problems with restrictions, such as problems with linear transitions and problems without uncertainty. Approximate dynamic programming (ADP) is a modern branch of DP that seeks to achieve numerical solutions via approximation. It is can be applied to real-world DP problems, but there …
Embedding Integrated Rfid Sensors Into Fiber Reinforced Plastics During The Manufacturing Process, Billy Joe Gray
Embedding Integrated Rfid Sensors Into Fiber Reinforced Plastics During The Manufacturing Process, Billy Joe Gray
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research evaluates the impact of embedding a Radio Frequency Identification (RFID) tag into the structure of a fiber reinforced polymer (FRP). The first portion of the research evaluates the mechanical impacts of embedding the tag through simulation of the stresses that the polymer will be exposed to and then comparing with compression and shear testing of the polymer parts. The second portion of the research evaluates the impact of the reinforcement materials on the transmission of radio frequency to and from the tag. The last portion of the research looks at how the costs of RFID compare to the …
Build-To-Order Supply Chain Efficiency Using Stochastic Frontier Analysis, Maysaa M. Hamdan
Build-To-Order Supply Chain Efficiency Using Stochastic Frontier Analysis, Maysaa M. Hamdan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The Build-to-Order supply chain (BTO-SC) is one agile supply chain that has received great attention in research and industry. Flexibility and responsiveness in mass customization has become a major objective of many companies that lead to the development of BTO-SC. Knowing the efficiency of the BTO-SC and the decision making units responsible for controlling the production process and decision making at different managerial levels is important for resources utilization to stay competitive in such a global market. The main purpose of this study is to measure, compare and analyse the impact of BTO and traditional supply chain on the company's …
Evaluating The Impact Of Auto Id Technologies On Oil And Gas Erp System Data Accuracy And Reliability, Gowthaman Ananta Krishnan
Evaluating The Impact Of Auto Id Technologies On Oil And Gas Erp System Data Accuracy And Reliability, Gowthaman Ananta Krishnan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Most of Enterprise Resource Planning (ERP) systems currently use manual entry or mass upload methods to enter data collected from warehouse operations. These methods are highly unreliable and prone to manual error affecting the data accuracy. Data accuracy and accurate real-time data are required by businesses for many critical decisions. Unreliable data becomes invalid and have a negative performance impact on ERP systems that can lead to economic loss to the organization. Automatic Identification (Auto-ID) technologies are used to track and collect data in real time or near real time. They can be integrated into ERP systems automatically to provide …
A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces, Asama Kulvanitchaiyanunt
A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces, Asama Kulvanitchaiyanunt
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Dynamic programming (DP) is an optimization approach that transforms a complex problem into a sequence of simpler sub-problems at different points in stage. The original DP approach used Bellman's equation to compute the "cost-to-go' function. This method is useful when considering a few states and decisions. However, when dealing with high-dimensional data set with continuous state space, the limit called 'curse of dimensionality' obstructs the solution as the size of the state space grows exponentially. Given recent advances in computational power, approximate dynamic programming (ADP) is introduced by not seeking to compute the future value function exactly and at each …
Inventory Pooling In Petroleum Upstream Logistics Network, Sulaiman Hamad Al Jedaie
Inventory Pooling In Petroleum Upstream Logistics Network, Sulaiman Hamad Al Jedaie
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The petroleum industry is heading toward the era of efficiency and cost reduction. Oilfield service companies have to raise their efficiency to stay competitive. This dissertation explores the efficiency issues facing an existing upstream petroleum logistics network, with 30 products, 30 countries and two hubs, for an international Oilfield Service Company (OSC). Inventory control was found to be a main source for inefficiency. Safety stock was studied by implementing inventory pooling concept, joint ordering, demand outliers analysis, demand bucket size analysis and regional distribution centers.Six-sigma (DMAIC) approach was used to diagnose the issues in this network and propose alternative solutions. …
Unmanned Aerial Vehicle Routing In The Presence Of Threats, Kamil A. Alotaibi
Unmanned Aerial Vehicle Routing In The Presence Of Threats, Kamil A. Alotaibi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles (UAVs) in the presence of the risk of enemy threats. The main goal for this research is to find optimal routes that consider the targets visited, expected fuel burn, threat exposure, and travel time. We formulate two mixed integer linear programs. In first formulation, we minimize the total expected fuel burn for multiple UAVs in order to visit multiple targets while maintaining the total threat …
An Exploration And Exploitation Pareto Approach To Surrogate Optimization, John F. Dickson
An Exploration And Exploitation Pareto Approach To Surrogate Optimization, John F. Dickson
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The experiments or simulations conducted by computers can be a tedious task,requiring substantial computational time. To find a global solution using a computerexperiments process, we usually need to perform many function evaluations of thecomputer model. This research focuses on developing an optimization method to find aglobally optimal solution efficiently using surrogates. The surrogates represent thecomputer model or the system that reads the inputs and generates the output responsesof interest, so that these surrogate models can be used in place of time-consumingsimulations runs. In surrogate based optimization, we iteratively build a surrogate model(a.k.a, approximate model or a metamodel) and conduct an …
A Systems Thinking Approach To Apply Water Sustainability In Hospitals, Misagh Faezipour
A Systems Thinking Approach To Apply Water Sustainability In Hospitals, Misagh Faezipour
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for current and future generations. Sustainability acts to balance the resource supply and demand. Hospitals are a major consumer of water. Unfortunately water is facing the challenges of diminishing resources and increasing demands. Therefore, considering water sustainability in hospitals is of significant importance. Water sustainability in hospitals is also important since hospitals offer services to help people improve the quality and health …
Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages, Jae Bong Choi
Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages, Jae Bong Choi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The pharmaceutical supply chain in the United States of America (USA) is getting complicated and is often not controllable due to a globally open market, increasing online market, and many illegal activities. Consumers who cannot afford to buy high priced genuine products are tempted by easily accessible counterfeit drugs on illegal web site pharmacies in or out of the USA. Many corrupt participants, such as wholesalers or pharmacies in the supply chain, take advantage of weak enforcement and a flawed drug supply chain for financial gain. The public health system and numerous patients are in, or could be in, painful …
Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach, Mohammed Almansouri
Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach, Mohammed Almansouri
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Market demand is constantly changing. Therefore, it is critical for companies to be flexible and willing to adapt in order to remain competitive. This study will evaluate bottleneck detection techniques that have been identified in previous research by comparing the performance of each method on all case study models that can be replicated from the literature. The purpose of this analysis is to identify the most efficient and reliable bottleneck detection algorithm(s) which are capable of supporting constraint identification on a wide range of production system classes and configurations. The primary objective will be to identify a robust bottleneck detection …
Phase I Monitoring With Applications In Manufacturing And Healthcare, Smriti Neogi
Phase I Monitoring With Applications In Manufacturing And Healthcare, Smriti Neogi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research develops statistical methods for quality monitoring in complex systems. Quality monitoring typically consists of two phases called Phase I analysis (or offline monitoring) and Phase II analysis (or online monitoring). This research is focused on Phase I monitoring. Two application areas are considered, complex manufacturing processes and healthcare delivery processes. In the first application, a robust strategy for Phase I analysis of optical profiles in low-E glass manufacturing is developed. The proposed approach aims to solve the problems such as violation of normality, high dimensionality, detection of multiple change points, etc. It will provide a convenient process monitoring …
Joint Kinematics, Muscle Activity And Postural Strain For Finger- Intensive Operation Of Small Hand- Held Devices, Farhana Afreen Proma
Joint Kinematics, Muscle Activity And Postural Strain For Finger- Intensive Operation Of Small Hand- Held Devices, Farhana Afreen Proma
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Background: Extensive movement of fingers while playing video games, and while browsing or texting in a smartphone often result in medically recognized repetitive strain injuries such as "PlayStation thumb" or "Blackberry thumb". In order to understand the strenuous effects of these tasks, it is important to study the geometry of the movement of fingers (kinematics), corresponding muscle activities (physiology), and the overall posture of the tasks (ergonomics). There is almost no information available in the present literature regarding the finger kinematics of video gaming. Although texting and browsing tasks have been studied, a multifaceted approach including kinematic, physiological and postural …
Stationary And Non-Stationary Time Series Prediction Using State Space Model And Pattern-Based Approach, Kin Ming Kam
Stationary And Non-Stationary Time Series Prediction Using State Space Model And Pattern-Based Approach, Kin Ming Kam
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The motion-adaptive radiotherapy techniques are promising to deliver ablative radiation doses to tumor with minimal normal tissue exposure by accounting for real-time tumor movement. However, a major challenge of successful applications of these techniques is the real-time prediction of target motion to accommodate system delivery latencies. Predicting respiratory motion in real-time is challenging. The current respiratory mo-tion prediction approaches are still not satisfactory in terms of accuracy and interpretability due to the com-plexity of breathing patterns and the many sources of variability across patients. In this paper, we propose a novel respiratory motion prediction approach based on future values of …
Eutectic Diffusion Brazing Process For Joining Aluminum Laminae With Macro- And Micro- Scale Features, Paul Wilson
Eutectic Diffusion Brazing Process For Joining Aluminum Laminae With Macro- And Micro- Scale Features, Paul Wilson
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Eutectic brazing occurs when two metals, such as aluminum and copper, react and diffuse together at a temperature lower than either material would melt separately. Commonly used in electronics manufacturing, this brazing method provides the basis for a new process of joining a laminated device with micro fluidic features. The proposed process overcomes the challenges of aluminum oxidation resulting from traditional diffusion bonding of aluminum laminae and does not require flux or caustic material pre-treatments. The process also protects surface geometries and avoids warpage, which is common with other higher-temperature joining processes such as welding. This research provides a foundation …
Outcome And State Transition Modeling For Adaptive Interdisciplinary Pain Management, Aera Kim Leboulluec
Outcome And State Transition Modeling For Adaptive Interdisciplinary Pain Management, Aera Kim Leboulluec
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Pain management is a major global health problem. The World Health Organization estimates that, globally, 1 in 5 adults suffer from chronic pain and in the United States alone, chronic pain affects nearly 100 million adults resulting in an estimated annual cost of $560 to $635 billion. The University of Texas at Arlington and the Eugene McDermott Center for Pain Management at the University of Texas Southwestern Medical Center at Dallas (The Center) are collaborating to seek adaptive treatment strategies for interdisciplinary pain management in a two-stage program. Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological …
Development Of Optimal Decision Model For Multi-System Process Capability Improvements Through A Personnel Environment And Integration (Pei) Framework Utilizing Radio Frequency Identification (Rfid) Technology, Maurice Dwayne Cavitt
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research describes a framework that minimizes uncertainty and risk in lead time and excessive costs associated with multi-automating systems in very complex and dynamic environments. Further, by seeking to reduce risk by increasing the reliability component of the system, crucial inventories levels are maintained and leveraged in complex an environment that provides additional organization cost savings and enhanced flexibility by enhancing their ability to optimize inventories. Inventory control is crucial for any supply chain as it drives the costs which influence business decision models. The reliability of the systems that maintain the important inventories in complex operations is crucial …
Optimizing The Use Of Systems Engineering On Proposals, Clement Douglas Smartt
Optimizing The Use Of Systems Engineering On Proposals, Clement Douglas Smartt
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Organizations whose primary business is executing contracts must be able to capture contracts to survive. When the contracts involve engineering complex systems, systems engineering often plays a significant role in the proposal process, sometimes leading the technical effort. This research seeks to find an optimal use of systems engineering in proposal management to maximize the probability that a supplier organization will be awarded contracts. A number of systems engineering related factors that can potentially be used to predict contract awards are identified that pertain to the organization, the skill levels of employees, the competitive environment, the proposal project, the contract, …
Rfid And Rtls Enhancement For Retained Surgical Instrument In The Body, Ida Lumintu
Rfid And Rtls Enhancement For Retained Surgical Instrument In The Body, Ida Lumintu
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Retained surgical items (e.g., sponges, needles, and instruments) are classified as preventable medical errors that cost the United States about $17 to $29 billion each year and the most frequently reported sentinel events in 2011 as reported by the Joint Commission. This research proposes a new approach to decrease such preventable medical errors by developing a Radio Frequency Identification-based Real Time Locating System (RTLS) for surgical operations (RfSurg). Patient safety concern, e.g. the excessive exposure of x-ray to the patient after the surgery, is a major motivation behind the need of RTLS in this research. The use of RTLS techniques …
Evaluation Of Quality And Sustainability Incentives To Optimize The Indonesian To The United States Crude Oil Supply Chain, Restu Purwaningtyas Sunarto-Bussey
Evaluation Of Quality And Sustainability Incentives To Optimize The Indonesian To The United States Crude Oil Supply Chain, Restu Purwaningtyas Sunarto-Bussey
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The New York Times explained that the United States increased its dependence on oil from Saudi Arabia by more than 20 percent last year (Krauss 2012). The United States of Energy Information Administration (U.S. EIA) stated that oil from Saudi Arabia was accounted for 14 percent of the U.S. crude oil and petroleum products in 2012 ("Oil: Explained" 2012). This is problematic due to the fact that 14 percent of the U.S. net crude oil and petroleum products imports come from one country, Saudi Arabia. What happens to the U.S. economy when Saudi Arabia manipulates demand and possibly stops exporting …
Global Optimization Of Nonconvex Piecewise Linear Regression Splines, Nadia Maria Martinez Cepeda
Global Optimization Of Nonconvex Piecewise Linear Regression Splines, Nadia Maria Martinez Cepeda
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Global optimization has been applied to a wide variety of science and engineering design problems. Although numerous global optimization techniques have been developed and studied for decades, when used for complex systems such as the design of an aircraft or an automobile, the results are impractical or not completely satisfactory. One of the main drawbacks is the computational CPU time required to solve these problems. The majority of design problems require a significant number of experiments or simulations in order to find a globally best solution; however a single simulation can take between seconds and days to finish. One way …
Parametric Cost Estimation Model For Microchannel Bonding Process Based On Activity Based Costing, Panita Suebvisai
Parametric Cost Estimation Model For Microchannel Bonding Process Based On Activity Based Costing, Panita Suebvisai
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The microchannel bonding process was developed to decrease product size and improve product performance. As the microchannel bonding process has moved from research to industrial manufacturing, it has become increasingly important to create a model to more accurately estimate the costs associated with this process. However, due to problems in project planning and limitations in funding, most microchannel bonding projects appear to have schedule slips and cost overruns. This dissertation presents a cost estimation model that links activity-based costing with parametric cost estimation. A parametric cost model has been designed to improve decision making in the microchannel bonding process, specifically …
Optimized Estimates Based On Multiple Sensor Configuration Knowledge, Roochi Mishra
Optimized Estimates Based On Multiple Sensor Configuration Knowledge, Roochi Mishra
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
There has been an increase in the usage of sensor technology as they are adaptable for use in different environments, many of which are hostile to direct human observation, such as regions affected by land mines or forest fires. The sensors used to monitor developing situations are small inexpensive computing devices with limited processing capabilities, limited power supply and may be destroyed in the event that they are monitoring, without suffering a great financial cost. Also, since these devices are inexpensive, multiple sensors can be deployed for the same application where the sensors are placed or attached to a mobile …
Mathematical Programming Approaches For Land Use Planning That Limits Urban Sprawl, Piyush Kumar
Mathematical Programming Approaches For Land Use Planning That Limits Urban Sprawl, Piyush Kumar
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Sprawl has a detrimental effect on quality of life and the environment. For example, it increases our dependence on vehicles for daily tasks. This leads to increased vehicular pollution. It also increases traffic, which results in people spending more time on the road. With dwindling resources and increasing population, it becomes necessary that we manage sprawl. Ewing et al. defined factors to measure sprawl in the present urban structure. The measures are divided into four broad categories, which are density factors, mixed use factors, streets factor, and centers factors. These measures address various aspects that contribute to sprawl. For example, …