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Articles 1 - 11 of 11
Full-Text Articles in Engineering
Predicting Surgical Flow Disruption Recovery In Cardiothoracic Operating Rooms, Gary Palmer Ii
Predicting Surgical Flow Disruption Recovery In Cardiothoracic Operating Rooms, Gary Palmer Ii
All Dissertations
Disruptions are common occurrences in a variety of healthcare settings and early research has shown that they are likely contributors to medical errors. For this reason, healthcare researchers have focused on studying and understanding the nature of Surgical Flow Disruptions (SFDs) to increase patient safety and quality of care within the operating room (OR). Many researchers have used simplistic taxonomies to collect and categorize the types of SFD that occur within the OR. Others have gone further to study SFD recovery and have link unrecovered and recovered SFD to minor and major adverse events experienced by patients. This dissertation, focused …
Hybrid Low-Order Modeling For Conceptual Vehicle Design, Robert Mau
Hybrid Low-Order Modeling For Conceptual Vehicle Design, Robert Mau
All Dissertations
Design freedom, and particularly the freedom to incorporate innovative designs and strategies, is greatest at the very beginning of vehicle conceptual design. Conversely, this is when the least knowledge of the product exists. As product content decisions are made the level of freedom in the design decreases and the design becomes "locked in." The majority of vehicle lifecycle cost is also set by the end of vehicle conceptual design. This makes it critical to make well-informed and validated decisions in the concept design phase to avoid expensive iterations and redesign in the detailed design phase. Parametric vehicle modeling permits rapid …
Characteristics And Contributing Factors Of Emergency Vehicle Crashes, Naji Abdelwanis
Characteristics And Contributing Factors Of Emergency Vehicle Crashes, Naji Abdelwanis
All Dissertations
The purpose of this study is to determine the contributing factors and characteristics associated with emergency vehicle(EV) crashes in order to generate insights about the emergency crashes. This dissertation consists of three approaches to address the purpose. In the first analysis a binary logistic regression model was used to identify the critical factors associated with EV crashes that resulted in fatality compared to those that did not. In the second analysis, an ordered regression model was used to identify critical factors that contributed to the severity of injuries that EV occupants experience in crashes as well as the effect of …
Joint Location And Dispatching Decisions For Emergency Medical Service Systems, Hector Toro-Diaz
Joint Location And Dispatching Decisions For Emergency Medical Service Systems, Hector Toro-Diaz
All Dissertations
Emergency Medical Service (EMS) systems are a service that provides acute care and transportation to a place for definitive care, to people experiencing a medical emergency. The ultimate goal of EMS systems is to save lives. The ability of EMS systems to do this effectively is impacted by several resource allocation decisions including location of servers (ambulances), districting of demand zones and dispatching rules for the servers. The location decision is strategic while the dispatching decision is operational. Those two decisions are usually made separately although both affect typical EMS performance measures. The service from an ambulance is usually time …
An Optimization Model For Class Scheduling At A Dance Studio, Chirag Ojha
An Optimization Model For Class Scheduling At A Dance Studio, Chirag Ojha
All Theses
Scheduling has been a large area of research for decades. A substantial amount of work has been done to express, classify, and solve scheduling problems. Most of these problems are computationally difficult to solve and require complex algorithms. In this thesis, we develop a mixed-integer linear program for a real world optimization problem at a dance studio. Similar to a university, the students in this studio request a particular class and instructors teach the classes under constrained resources such as a limited number of classrooms. The priorities of instructors as well as dancers are included to further mimic reality. Experimental …
Organization Of Information For Reversible Causes Of Pulseless In-Hospital Cardiac Arrest: A Randomized Control Trial Using A Cognitive Aid, Meera Ramachandran
Organization Of Information For Reversible Causes Of Pulseless In-Hospital Cardiac Arrest: A Randomized Control Trial Using A Cognitive Aid, Meera Ramachandran
All Theses
More than 200,000 in-hospital cardiac arrests are treated each year in the US with 21% survival rate. According to American Heart Association (AHA) guidelines, many causes for these arrests could be successfully treated if identified early. Such causes can be generalized as 'reversible causes'. Medical doctors identify the reversible causes associated with an arrest by recalling them from memory, using a mnemonic. In this study, using a cognitive aid such as an iPad application, the mnemonic was modified and causes were displayed alphabetically, and tested along with a new method that rank-ordered the reversible causes based on the patient context, …
Improved Photolithography Scheduling In Semiconductor Manufacturing, Sreenath Chalil Madathil
Improved Photolithography Scheduling In Semiconductor Manufacturing, Sreenath Chalil Madathil
All Theses
Photolithography is typically the bottleneck process in semiconductor manufacturing. In this thesis, we present a model for optimizing photolithography job scheduling in the presence of both individual and cluster tools. The combination of individual and cluster tools that process various layers or stages of the semiconductor manufacturing process flow is a special type of flexible flowshop. We seek separately to minimize total weighted completion time and maximize on-time delivery performance. Experimental results suggest that our mathematical- and heuristic-based solution approaches show promise for real world implementation as they can help to improve resource utilization, reduce job completion times, and decrease …
Evolution Of Medication Administration Workflow In Implementing Electronic Health Record System, Yuan-Han Huang
Evolution Of Medication Administration Workflow In Implementing Electronic Health Record System, Yuan-Han Huang
All Dissertations
This study focused on the clinical workflow evolutions when implementing the health information technology (HIT). The study especially emphasized on administrating medication when the electronic health record (EHR) systems were adopted at rural healthcare facilities. Mixed-mode research methods, such as survey, observation, and focus group, were used to investigate insightful interventions to compensate potential errors during the medication administration process. Research data were collected from three South Carolina small-scale rural hospitals over several clinical departments.
The major purposes of this study were two folds: (1) to assess medical staff's computer competency for the new IT system, and (2) to investigate …
Robust Parameter Design In Complex Engineering Systems:, Gregory Boylan
Robust Parameter Design In Complex Engineering Systems:, Gregory Boylan
All Dissertations
Many industrial firms seek the systematic reduction of variability as a primary means for reducing production cost and material waste without sacrificing product quality or process efficiency. Despite notable advancements in quality-based estimation and optimization approaches aimed at achieving this goal, various gaps remain between current methodologies and observed in modern industrial environments. In many cases, models rely on assumptions that either limit their usefulness or diminish the reliability of the estimated results. This includes instances where models are generalized to a specific set of assumed process conditions, which constrains their applicability against a wider array of industrial problems. However, …
Prediction Of Subsurface Damage During Machining Nickel-Based Superalloys, Yujie Chen
Prediction Of Subsurface Damage During Machining Nickel-Based Superalloys, Yujie Chen
All Dissertations
Nickel-based superalloys are widely utilized in hostile environments such as jet engines and gas turbines due to their high resistance to oxidation, high corrosion resistance, good thermal fatigue-resistance and fracture toughness. Subsurface damage is typically generated during the machining of these materials, and in particular, ã'-strengthened nickel-based superalloys. The depth of the subsurface damage is a critical requirement specified by the customer. Therefore, it is critical to predict, measure and control subsurface damage.
This research specifically targets the development of a model to predict subsurface damage during the machining of ã'-strengthened nickel-based superalloys. To accomplish this, a modified Johnson-Cook model …
Adaptive Model Based Combustion Phasing Control For Multi Fuel Spark Ignition Engines, Baitao Xiao
Adaptive Model Based Combustion Phasing Control For Multi Fuel Spark Ignition Engines, Baitao Xiao
All Dissertations
This research describes a physics-based control-oriented feed-forward model, combined with cylinder pressure feedback, to regulate combustion phasing in a spark-ignition engine operating on an unknown mix of fuels. This research may help enable internal combustion engines that are capable of on-the-fly adaptation to a wide range of fuels. These engines could; (1) facilitate a reduction in bio-fuel processing, (2) encourage locally-appropriate bio-fuels to reduce transportation, (3) allow new fuel formulations to enter the market with minimal infrastructure, and (4) enable engine adaptation to pump-to-pump fuel variations. These outcomes will help make bio-fuels cost-competitive with other transportation fuels, lessen dependence on …