Operations Research, Systems Engineering and Industrial Engineering Commons^™

Enterprise Transformation Through A Zachman-Bayesian Framework To Improve Efficiency & Productivity, Ramakanth Gona

Open Access Theses & Dissertations

Although organizations are aware of the benefits of enterprise architectures models, organizations have difficulties determining deficiencies in their business architecture. Organizational assessment tools often do not achieve expectations as sold to management. Performance measures often fail to properly represent necessary holistic measurements. Methods for capturing deficiencies in current business models and deterring improvements to optimize business processes are rare. This thesis develops a new experimental architecture modeling approach for enterprise transformations. The approach is efficient in capturing deficiencies and finding correlations which can become targeted goals for improvements. The Zachman enterprise architecture framework provides a holistic view of organizational models …

Indentifying And Understanding User Preferences In Generic Planning Tools, Grisel Ventura

Open Access Theses & Dissertations

Planning is an important cognitive work activity. To support this complex task, the development of planning tools is important to support people during decision-making and problem-solving tasks. Nowadays, a large number of manual and electronic tools support this complex activity; manual and electronic planning tools aid people in creating strategies for effective work performance. However, there is limited information on the design of generic planning tools people use for their activities, and why people choose to use the planning tool they do. Some examples of generic tools for planning are calendars, checklists, agendas, etc.

To answer this question, this research …

Identification Of Patient Recovery Patterns After Cardiovascular Surgery Based On Laboratory Tests Results, Alcides Ricardo Santander Mercado

USF Tampa Graduate Theses and Dissertations

In this dissertation is proposed a methodology to identify patient's recovery patterns after cardiovascular surgery based on laboratory tests results. The main purpose is to enhance the understanding of the manifestations of postsurgical complications in patients who underwent cardiovascular surgery. The analysis of patients' recovery process is based on the relationship between plasma calcium, ionized calcium and platelet count over time.

Laboratory results from the James A. Haley Veterans' Hospital databases, related to patients admitted to the Surgical Intensive Care Unit (SICU) after cardiac surgery (coronary artery bypass, aortic value replacement and mitral valve replacement), are used. These databases contain …

Decision Support Models For Design Of Fortified Distribution Networks, Qingwei Li

USF Tampa Graduate Theses and Dissertations

Lean distribution networks have been facing an increased exposure to the risk of unpredicted disruptions causing significant economic forfeitures. At the same time, the existing literature contains very few studies that examine the impact of fortification of facilities for improving network reliability. This dissertation presents three related classes of models that support the design of reliable distribution networks. The models extend the uncapacitated P-median and fixed-charge location models by considering heterogeneous facility failure probabilities, supplier backups, and facility fortification within a finite budget. The first class of models considers binary fortification via linear fortification functions. The second class of models …

The Impact Of Pharmacy Work Design On Pharmacist Productivity, Nicholas Allen Coblio

USF Tampa Graduate Theses and Dissertations

Healthcare costs in the United States continue to grow at an alarming rate. Concerning the cost of medications, there are a number of factors that drive these costs. While personnel costs are not the largest of these, they do contribute a significant portion. The cost of the cognitive component of order processing by pharmacists can range from three dollars to over six dollars per prescription depending on the production throughput of the pharmacist.

Studies at the organization which was the focus of the research, as well as reports in the literature, indicated that work disruption and other environmental factors could …

Analytical Methods To Support Risk Identification And Analysis In Healthcare Systems, Laila Nadime Cure Vellojin

USF Tampa Graduate Theses and Dissertations

Healthcare systems require continuous monitoring of risk to prevent adverse events. Risk analysis is a time consuming activity that depends on the background of analysts and available data. Patient safety data is often incomplete and biased. This research proposes systematic approaches to monitor risk in healthcare using available patient safety data. The methodologies combine traditional healthcare risk analysis methods with safety theory concepts, in an innovative manner, to allocate available evidence to potential risk sources throughout the system. We propose the use of data mining to analyze near-miss reports and guide the identification of risk sources. In addition, we propose …

The Impact Of Supply Chain And Network Structure On The Environmental Performance Of Sustainability-Focused Companies, Ozan Ozcan

USF Tampa Graduate Theses and Dissertations

The goal of this dissertation was to contribute to our understanding of the relationship between supply chain structure and the pursuit of a sustainability-driven corporate strategy. The literature indicates that in order to pursue a sustainability-focused strategy, an increased level of integration across the supply chain is required. However, there are also industry-level dynamics that impact observed levels of vertical integration. That is, some industries are naturally more integrated than others based on the maturity level of the industry. Thus, some firms may experience opposing forces regarding their sourcing strategies once they choose to pursue a sustainability-focused strategy.

To explore …

Apparent Total Evaporative Resistance Values From Human Trials Over A Range Of Metabolic And Heat Stress Levels, Matthew David Dooris

USF Tampa Graduate Theses and Dissertations

Failure to maintain thermal equilibrium can cause uncontrollable increases in body core temperature beyond critical upper limits. In selecting clothing, consideration must be given to the heat transfer properties of clothing that may restrict the cooling capacity of the human body under heat stress conditions, most importantly, apparent total evaporative resistance (R_e,T,_a). This study calculated and compared R_e,T,_a for five clothing ensembles under varying heat stress conditions, including three relative humidity (RH) levels and three stages of heat stress to determine if R_e,T,_a values varied or remained the same with …

Architecture Value Mapping: Using Fuzzy Cognitive Maps As A Reasoning Mechanism For Multi-Criteria Conceptual Design Evaluation, Atmika Singh

Doctoral Dissertations

"The conceptual design phase is the most critical phase in the systems engineering life cycle. The design concept chosen during this phase determines the structure and behavior of the system, and consequently, its ability to fulfill its intended function. A good conceptual design is the first step in the development of a successful artifact. However, decision-making during conceptual design is inherently challenging and often unreliable. The conceptual design phase is marked by an ambiguous and imprecise set of requirements, and ill-defined system boundaries. A lack of usable data for design evaluation makes the problem worse. In order to assess a …

Instance-Based Parameter Tuning Via Search Trajectory Similarity Clustering, Linda Lindawati, Hoong Chuin Lau, David Lo

Research Collection School Of Computing and Information Systems

This paper is concerned with automated tuning of parameters in local-search based meta-heuristics. Several generic approaches have been introduced in the literature that returns a ”one-size-fits-all” parameter configuration for all instances. This is unsatisfactory since different instances may require the algorithm to use very different parameter configurations in order to find good solutions. There have been approaches that perform instance-based automated tuning, but they are usually problem-specific. In this paper, we propose CluPaTra, a generic (problem-independent) approach to perform parameter tuning, based on CLUstering instances with similar PAtterns according to their search TRAjectories. We propose representing a search trajectory as …

Fine-Tuning Algorithm Parameters Using The Design Of Experiments Approach, Aldy Gunawan, Hoong Chuin Lau, Linda Lindawati

Research Collection School Of Computing and Information Systems

Optimizing parameter settings is an important task in algorithm design. Several automated parameter tuning procedures/configurators have been proposed in the literature, most of which work effectively when given a good initial range for the parameter values. In the Design of Experiments (DOE), a good initial range is known to lead to an optimum parameter setting. In this paper, we present a framework based on DOE to find a good initial range of parameter values for automated tuning. We use a factorial experiment design to first screen and rank all the parameters thereby allowing us to then focus on the parameter …

Integrated Computational Intelligence And Japanese Candlestick Method For Short-Term Financial Forecasting, Takenori Kamo

Doctoral Dissertations

"This research presents a study of intelligent stock price forecasting systems using interval type-2 fuzzy logic for analyzing Japanese candlestick techniques. Many intelligent financial forecasting models have been developed to predict stock prices, but many of them do not perform well under unstable market conditions. One reason for poor performance is that stock price forecasting is very complex, and many factors are involved in stock price movement. In this environment, two kinds of information exist, including quantitative data, such as actual stock prices, and qualitative data, such as stock traders' opinions and expertise. Japanese candlestick techniques have been proven to …

Exploratory Study Of Barriers To Use Of Feigenbaum's Quality Cost Strategy Within Design Engineering Firms, David Patrick Loduca

Doctoral Dissertations

"It has been more than a half century since Armand Feigenbaum first conceived of the strategy for the manufacturing sector, yet quality costing strategies have not found a foothold among engineering firms. This study was aimed at constructing a set of theories that explains possible barriers to acceptance of the Feigenbaum strategy by analyzing attitudes and opinions of players in an actual engineering firm and the culture in which they work.

Modeled after the Feigenbaum approach and tailored to the business model of engineering and architectural firms, a system was developed to classify and record costs of quality. A local …

Assessing System Architectures: The Canonical Decomposition Fuzzy Comparative Methodology, Jason Paul Dauby

Doctoral Dissertations

"The impacts of decisions made during the selection of the system architecture propagate throughout the entire system lifecycle. The challenge for system architects is to perform a realistic assessment of an inherently ambiguous system concept. Subject matter expert interpretations, intuition, and heuristics are performed quickly and guide system development in the right overall direction, but these methods are subjective and unrepeatable. Traditional analytical assessments dismiss complexity in a system by assuming severability between system components and are intolerant of ambiguity. To be defensible, a suitable methodology must be repeatable, analytically rigorous, and yet tolerant of ambiguity. The hypothesis for this …

Creating A Sustainable Transportation Workforce: Identifying Skills, Abilities And Knowledge For Future Transportation Workforce, Sandhya Gopalakrishnan

Masters Theses

"The recruitment and retention of a transportation workforce capable of adapting to the requirements of emerging sustainable technologies is an important concern for engineering managers in transportation. Although there is an increasing demand for transportation professionals to fill positions stemming from retirement or created by innovations in sustainable transportation systems, the supply is decreasing. The objective of this research was to fill the gap between the supply and demand of skilled workforce by presenting a life-cycle framework for recruiting and retaining the transportation workforce as part of succession planning efforts funded by the U.S. Department of Transportation's Transportation Education Development …

Economic Evaluation Of Sustainable Strategies For The Transportation Sector, Yaqin Lin

Masters Theses

"Sustainable strategies are drawing growing attention as global environmental challenges increase concerns over energy consumption. As one of the most intensive consumers of energy, the transportation sector has a particular need to go green. Implementing alternative energy sources and applying advanced energy efficient technologies are two major approaches to achieve sustainability. Much work thus far used cost-effectiveness as an important criterion for assessing the practicability of sustainable strategies. However, few studies have evaluated such strategies systematically. This thesis has developed a framework of cost-effectiveness analysis to assess sustainability strategies. The framework summarizes the various effects of five representative alternative energy …

Design And Analysis Of A Speed-Aware Routing Protocol For Mobile Ad Hoc Networks, Kirthana Akunuri

Masters Theses

"The flexibility of movement for the wireless ad hoc devices, referred to as node mobility, introduces challenges such as dynamic topological changes, increased frequency of route disconnections and high packet loss rate in Mobile Ad hoc Wireless Network (MANET) routing. This research proposes a novel on-demand routing protocol, Speed-Aware Routing Protocol (SARP) to mitigate the effects of high node mobility by reducing the frequency of route disconnections in a MANET. SARP identifies a highly mobile node which forms an unstable link by predicting the link expiration time (LET) for a transmitter and receiver pair. When the nodes have high relative …

Managing A Solar Sensor Array Project: Analyzing Insolation & Motivation, Beth A. Yount

Masters Theses

"The renewable power industry is rapidly growing today and is in need of much data to augment the advancement of the field. Photovoltaic technology, while making substantial improvement over the last 60 years, still has some significant hurdles to overcome. When shading, dust, or damaged cells reduce the power output of one panel, the traditional series-parallel configurations make it so every panel in series with that lower current panel, will also have its current lowered; this lowers the overall power output of the array significantly. Advancements in configurations and converters could change this phenomenon and dramatically increase a solar array's …

Quantifying The Carbon Footprint Of Lean Waste, Kristen Donovan Balinski

Masters Theses

"The objective of this paper is to provide a method of quantifying lean wastes in terms of carbon dioxide emissions by using value stream mapping. Lean manufacturing, a process based on waste identification and reduction, is a growing trend in industry and a proven method of lowering costs. The environmental impact of these wastes can be quantified by identifying the metrics associated with them, and using existing reports to convert those metrics into measurements of carbon dioxide. Growing environmental concerns are prompting federal government regulation of greenhouse gas or carbon dioxide emissions, as seen in the American Clean Energy and …

Improving Service Through Just-In-Time Concept In A Dynamic Operational Environment, Kar Way Tan, Hoong Chuin Lau, Na Fu

Research Collection School Of Computing and Information Systems

This paper is concerned with the problem of Just-In-Time (JIT) job scheduling in a dynamic environment under uncertainty to attain timely service. We provide an approach, based on robust scheduling concepts, to analytically evaluate the expected cost of earliness and tardiness for each job and also the project. In addition, we search for a schedule execution policy with the minimum robust cost such that for a given risk level (epsilon), the actual realized schedule has (1 - epsilon) probability of completing with less than or equal to this robust cost. Our method is quite generic, and can be applied to …

Management Of Wind Power Generation With The Attachment Of Wind Tunnel, Ulan Dakeev

Dissertations and Theses @ UNI

This study presents a new approach in which a wind tunnel apparatus is used to identify the efficiency of power output by a wind turbine with a 400W rating. Moreover, the study addresses a significant issue concerning the turbulence formed by a natural wind which can be eliminated or reduced with the use of the proposed wind tunnel. Wind power characteristics that indicate power output versus wind velocity are obtained by performing a number of case studies. The case studies include normal operation of the experimental wind turbine at variable wind velocity values with and without proposed wind tunnel. A …

Quality Costing Knowledge, Attitudes, And Perceptions In A Small Manufacturing Company, Adam M. Benner

Dissertations and Theses @ UNI

The purpose of this research was to identify and assess employee knowledge, attitude, and perception of quality costing in a manufacturing company. The company selected for this research was a small manufacturer of agricultural processing equipment with an undeveloped quality management program. A quality costs questionnaire was discovered from a review of the literature and was slightly modified to gather data from a sample of company employees. The following information was collected from employees: knowledge of common quality costing terminology, attitude towards quality and non-quality concepts, and perception of departments associated with quality costs and the scale of quality costs …

An Occupational Analysis Of Prepress In The Des Moines And Eastern Iowa Regions, Lee John Geisinger

Dissertations and Theses @ UNI

It is important that educators use a relevant, up-to-date curriculum when educating on a specific occupation. Job task analysis is an effective way for educators to understand an occupation and provide students with valuable information. This study analyzed prepress technicians' duties and tasks.

This research used the occupational analysis method called the DACUM (Developing a Curriculum) process. The DACUM process uses an expert worker panel to identify the duties and tasks of an occupation. This study found that there are 9 duties and 55 tasks for a prepress technician. After identifying the duties and tasks, the study confirmed those duties …

Virtual Ed: Utilisation Of A Discrete Event Simulation-Based Framework In Identifying "Real-Time’ Strategies To Improve Patient Experience Times In An Emergency Department, Waleed Abo Hamad, John Mcinerney, Amr Arisha

Articles

Objectives and Backgrounds Emergency Department (ED) overcrowding and associated excessive Patient Experience Times (PETs) have proven deleterious impacts on patient mortality, morbidity and overall length of hospital stay. Health systems constantly seek cost-effective organisational strategies to reduce ED crowding and improve patient outcomes, but complex change implementation is constrained by the necessity of maintaining concurrent safe patient-care. Computer modelling in a “virtual reality” has been successfully utilised in industries outside medicine, in providing innovative “real-time” solutions to outdated practices. Therefore a bespoke “Virtual ED” computer model, based on a Discrete Event Simulation (DES) -Based Framework was constructed to determine the …

Approximate Policy Iteration For Semi-Markov Control Revisited, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

The semi-Markov decision process can be solved via reinforcement learning without generating its transition model. We briefly review the existing algorithms based on approximate policy iteration (API) for solving this problem for discounted and average reward under the infinite horizon. API techniques have attracted significant interest in the literature recently. We first present and analyze an extension of an existing API algorithm for discounted reward that can handle continuous reward rates. Then, we also consider its average reward counterpart, which requires an updating based on the stochastic shortest path (SSP). We study the convergence properties of the algorithm that does …

Sysml Profiling For Handling Army Base Camp Planning, Dustin Nottage, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Army base camp planning is a complicated process involving many variables and optional facilities. the facilities can also vary in size and resource utilization depending on permanency of the base, local resources, and population on the base. Each level of facility is modeled and placed into a library database. All of these facilities must be distinguishable for planners to come in and export the correct facility based on the mission. the first method involves separating the different levels into packages so just the package could be exported. the issue is not all facilities will fit correctly. the second method is …

Cognition Evolutionary Computation For System-Of-Systems Architecture Development, Feng Yang, Cihan Dagli, Weiping Wang

Engineering Management and Systems Engineering Faculty Research & Creative Works

The evolving nature of system-of-systems requirements and corresponding architecture, and the complex causal relationship between the architecture of system-of-systems and its emergent behavior make the problem of system-of-systems architecture development a great challenge. as a tentative effort in meeting this special challenge, a new evolutionary computation paradigm- named Cognition Evolutionary Computation(CEC) is proposed, which models the creative cognition process of divergent and convergent thinking, adaptation and innovation, that drives the co-evolution of problem space, knowledge space and solution space. the optimization algorithm for CEC uses causal probabilistic network as the knowledge representation mechanism. a theoretical framework for CEC based system-of-system …

Model Development Of A Virtual Learning Environment To Enhance Lean Education, Akalpit Gadre, Elizabeth Cudney, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Modern day industry is becoming leaner by the day. This demands engineers with an in-depth understanding of lean philosophies. Current methods for teaching lean include hands-on projects and simulation. However, simulation games available in the market lack simplicity, ability to store the results, and modeling power. the goal of this research is to develop a virtual simulation platform which would enable students to perform various experiments by applying lean concepts. the design addresses these deficiencies through the use of VE-Suite, a virtual engineering software. the design includes user-friendly dialogue boxes, graphical models of machines, performance display gauges, and an editable …

Workforce Planning Models For Semiconductor Manufacturing: Assembly-Test Operations, Shrikant Jarugumilli

Doctoral Dissertations

"We present a framework that integrates strategic and operational workforce planning models. Since these models provide decisions for planning horizons with different lengths, the formulation and solution strategy should ensure that the flow of information between these models is both appropriate and consistent.

The single-shift workforce planning problem is formulated as a two-phase goal program. In the first phase, the model allocates the workers to machine groups and identifies the shortage of workers (referred to as gap) followed by the second phase, in which certain constraints are relaxed and the workers are reallocated to the machine groups in order to …

A Framework For Determining The Reliability Of Nanoscale Metallic Oxide Semiconductor (Mos) Devices, Wilkistar Otieno

USF Tampa Graduate Theses and Dissertations

An increase in worldwide investments during the past several decades has pro-pelled scienti c breakthroughs in nanoscience and technology research to new and exciting levels. To ensure that these discoveries lead to commercially viable prod-ucts, it is important to address some of the fundamental engineering and scientific challenges related to nanodevices. Due to the centrality of reliability to product integrity, nanoreliability requires critical analysis and understanding to ensure long-term sustainability of nanodevices and systems. In this study, we construct a relia-bility framework for nanoscale dielectric lms used in Metallic Oxide Semiconductor (MOS) devices. The successful fabrication and incorporation of metallic …