Operations Research, Systems Engineering and Industrial Engineering Commons^™

Emerging Technologies For Evolving Systems: Socio-Technical, Cyber And Big Data, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

A Comment On Coordination Of Inventory And Transportation Managements In A Two-Level Supply Chain, Dinçer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this comment, a possibly useful and very related reference, which is not included in Kang and Kim (2010), is highlighted. The reference may be of interest to the researchers studying similar problems. © 2012 Elsevier B.V. All rights reserved.

Augmented Cognition In Human System Interaction Through Coupled Action Of Body Sensor Network And Agent Based Modeling, Siddhartha Agarwal, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This research proposes a conceptual model to make significant progress in augmented cognition. We intend to design a generic architecture to improve the collective situational awareness (SA) of a team of soldiers on the battlefield during combat effects, and cultural communications. It also establishes a training outline for future landscapes of a similar nature by providing convincing feedback. It will serve as architecture of a model, based on the current laboratory framework. This involves data analysis of the feedback from the neurophysiological body sensors (heart rate, skin temperature, breathing rate and others) placed on a wearable immersive training vest. It …

Type-2 Fuzzy Clustering And A Type-2 Fuzzy Inference Neural Network For The Prediction Of Short-Term Interest Rates, David Enke, Nijat Mehdiyev

Engineering Management and Systems Engineering Faculty Research & Creative Works

The following paper discusses the use of a hybrid model for the prediction of short-term US interest rates. The model consists of a differential evolution-based fuzzy type-2 clustering with a fuzzy type-2 inference neural network, after input preprocessing with multiple regression analysis. The model was applied to forecast the US 3- Month T-bill rates. Promising model performance was obtained as measured using root mean square error. © 2013 The Authors. Published by Elsevier B.V.

An Approach To Advance Higher Order Cross-Cultural Awareness In Dismounted Soldiers, Siddhartha Agarwal, Gianluca Reale, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cultural awareness is important for a range of operations from disaster assistance to active conflict. This paper illustrates the application of an acknowledged system of systems (SoS) to train dismounted soldiers in cultural awareness. Such training system is required to not only increase intelligence gathering opportunities but also minimize troop member loss during missions. Moreover, given the increase in the cultural interaction of dismounted soldiers, specific training is needed to raise cultural awareness. In this research an acknowledged (SoS) model of augmented cultural awareness centered on both agent-based simulation and body sensor networks is proposed. The immersive vest developed at …

Extending The Minimal Learning Machine For Pattern Classification, Amauri H.Souza Junior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Minimal Learning Machine (MLM) Has Been Recently Proposed as a Novel Supervised Learning Method for Regression Problems Aiming at Reconstructing the Mapping between Input and Output Distance Matrices. Estimation of the Response is Then Achieved from the Geometrical Configuration of the Output Points. Thanks to its Comprehensive Formulation, the MLM is Inherently Capable of Dealing with Nonlinear Problems and Multidimensional Output Spaces. in This Paper, We Introduce an Extension of the MLM to Classification Tasks, Thus Providing a Unified Framework for Mult response Regression and Classification Problems. on the Basis of Our Experiments, the MLM Achieves Results that Are …

Data Preprocessing And Model Design For Medicine Problems, Alberto Guillén, Amaury Lendasse, Guilherme Barreto

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

High Speed Turning Of Compacted Graphite Iron (Cgi) Using Controlled Modulation, Tyler Paul Stalbaum

Open Access Theses

Compacted graphite iron (CGI) is a material which emerged as a candidate material to replace cast iron (CI) in the automotive industry for engine block castings. Its thermal and mechanical properties allow the CGI-based engines to operate at higher cylinder pressures and temperatures than CI-based engines, allowing for lower fuel emissions and increased fuel economy. However, these same properties together with the thermomechanical wear mode in the CGI-CBN system result in poor machinability and inhibit CGI from seeing wide spread use in the automotive industry.

In industry, machining of CGI is done only at low speeds, less than V = …

Effects Of Signal Ambiguity And Signal Location On Target Detection Under Varying Degrees Of Time Constraint, Kimberly E. Culley

Psychology Theses & Dissertations

The purpose of the current study was to investigate the effects of decision-making strategies and tendencies, time constraint, and signal characteristics on decision-making performance utilizing the fuzzy signal detection theory framework. Participants were tasked with deciding whether x-ray images of passenger luggage contained hazardous objects.

The first objective of the study was to develop a methodology for quantifying optimizing versus satisficing tendencies in decision making through direct measurement and observation.

The second objective of the study was to examine how time constraint and specific signal characteristics contribute to decision making. Interestingly, despite having more time available to conduct a comprehensive …

System Governance Analysis Of Complex Systems, Behnido Y. Calida

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research was to develop and deploy a systems-based framework for analysis of complex governance systems using a multimethodology research design. Two research gaps motivated this research: (1) lack of an integrated conceptualization of a system governance construct, (2) an absence of studies that consider both the governed and governing systems as well as the emergent interactions that arise from within complex governance systems.

The research focused on three primary questions: (1) What are the distinctive characteristics of governance?; (2) What system-based framework can be developed for analysis of governance in complex systems?, and (3) What results …

Shared Leadership In Six Sigma Teams From The North Shore-Lij Health System, Brian J. Galli

Engineering Management & Systems Engineering Theses & Dissertations

The main goal of the research was to identify the relationships that the internal research team environment and external coaching variables had with the degree of shared leadership in the context of Six Sigma teams from the North Shore LIJ Health System. Furthermore, the research ascertained the relationships that these variables had with two performance metrics: a team's ability to complete project deliverables and satisfy customer's requirements. This research also sought to understand additional factors that affected the five variables.

The research found that while shared leadership did not positively change as a team progressed through the phases of the …

Naval Surface Warfare Center Dahlgren Division Engagement Systems (G) Department Development Of A Plan To Maintain, Expand, And Create Corporate Knowledge, Luis J. Rodriguez

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation presents the implementation of an organizational study in a technical organization that provides basic information for proper decision making to establish, continue, nurture, modify, transfer or terminate a Knowledge Management (KM) practice. Different aspects of an organization influence the capability to create and retain knowledge. Understanding the factors and the environment of the KM problem in an organization is essential for a successful plan and execution of knowledge creation, transfer and retention. The study purpose was to describe the contextual situation of the organization in terms of Human, Structural and Relational Capital; identify critical knowledge for the organization …

Evaluating The E-Consult Process For Diabetes Care Delivery At An Outpatient Care Clinic, Brian M. Zoll

Browse all Theses and Dissertations

The occurrence of one of the most common chronic conditions in the U.S., diabetes, is expected to rise 53% from 24 million cases in 2003 to 37 million cases in 2023. The U.S. Veterans Health Administration (VHA) is not immune to this. The VHA has experienced an $820 million increase spending on diabetes patients between 2000 and 2008. The VHA has tried to keep the growth of chronic care costs in check through improvements in patient access to care by expanding its network of community-based outpatient clinics. Other methods the VHA has used to curb chronic care spending costs are …

The Effects Of Text And Hybrid Graphic-Text Formats On Pilot Performance Using Flight Deck Data Communication Displays, Ricardo Daniel Muñoz Da Costa

Browse all Theses and Dissertations

Air Traffic has shown a steady increase since the institution of commercial aviation in the first quarter of the last century, and the use of the United States National Airspace System (NAS) is expected to increase by 45 percent more passengers by the year 2015 (Smith, 2004). The increasing demands of the NAS require preventive measures in order to preserve the safety of operations. NextGen is a transformative program expected to enhance the safety and effectiveness of NAS operations. One of the ways that it will achieve these goals is by improving air-ground communications.

In the current system, communications between …

The Effectiveness Of Pilot Response To Generate Concatenated Downlink Messages After Evaluation Of Hybrid Graphic-Text Clearances, Steven Brent Kiss

Browse all Theses and Dissertations

Data-Link Communication, or DataComm, is a digital text messaging system providing a means of communication between Air Traffic Control (ATC) and pilots. Current Pilot/ATC communication is via voice radio, but the number of ATC operators and voice channels are finite, which limits the number of aircraft voice transmission can accommodate. The number of aircraft within the National Airspace System (NAS) is expected to double between 2004 and 2025, and a transition from voice to DataComm is a necessity. DataComm is an integral part of the NAS and is implemented in incremental phases increasing its functions and capability. There are many …

Assessing The Effects Of Multi-Modal Communications On Mental Workload During The Supervision Of Multiple Unmanned Aerial Vehicles, Sharon Claxton Bommer

Browse all Theses and Dissertations

Human supervisory control (HSC) systems that require intermittent human input of commands to create actions within the system are helpful in reducing the human's mental workload (MWL). HSC systems are commonly employed in the piloting and control of unmanned aerial vehicles (UAVs). As the ratio of UAVs to operators increases there is a clear need to understand the effort required to complete task requirements. Specifically, this research explored MWL relative to multi-modal communications using subjective and physiological measures. To accomplish this, a cognitive model was developed to understand the relationship between tasks and MWL. MWL was manipulated by measuring three …

Application Of The Augmented Operator Function Model For Developing Performance Metrics In Persistent Surveillance, Tiffany M. Paul

Browse all Theses and Dissertations

Difficulties with the implementation of persistent Wide Area Motion Imagery (WAMI) sensors to support real-time military missions have risen within Intelligence, Surveillance, and Reconnaissance organizations. In this study, cognitive models were developed of operators performing real-time missions currently supported by narrow field of view Full Motion Video (FMV) and WAMI sensors. These models were used in conjunction with a cognitive task analysis, creating an augmented operator function model (OFM-COG). This thesis describes the OFM-COG and demonstrates how this model-based analysis technique can document the cognitive implications of persistent surveillance with motion imagery. The analytic procedures required to build this model …

Testing The Fuel Efficiency Of Tractors With Continuously Variable And Standard Geared Transmissions, Christopher N. Howard, Michael F. Kocher, Roger M. Hoy, Erin E. Blankenship

Department of Agricultural and Biological Systems Engineering: Faculty Publications

A John Deere 8295R IVT tractor with a continuously variable transmission (CVT) and a John Deere 8295R PowerShift (PST) tractor with a standard geared transmission (GT) were tested for fuel consumption at three different travel speeds with six different load levels applied per speed. The JD 8295R PST tractor was tested both at full throttle (FT) and shifted up two gears and throttled back (SUTB) to achieve the same travel speed as at full throttle. For each travel speed with each transmission mode, fuel consumption was determined to be linearly related to drawbar power. Linear regression analyses were performed, and …

Employing Learning To Improve The Performance Of Meta-Raps, Fatemah Al-Duoli, Ghaith Rabadi

Engineering Management & Systems Engineering Faculty Publications

In their search for satisfactory solutions to complex combinatorial problems, metaheuristics methods are expected to intelligently explore the solution space. Various forms of memory have been used to achieve this goal and improve the performance of metaheuristics, which warranted the development of the Adaptive Memory Programming (AMP) framework [1]. This paper follows this framework by integrating Machine Learning (ML) concepts into metaheuristics as a way to guide metaheuristics while searching for solutions. The target metaheuristic method is Meta-heuristic for Randomized Priority Search (Meta-RaPS). Similar to most metaheuristics, Meta-RaPS consists of construction and improvement phases. Randomness coupled with a greedy heuristic …

Decision Support For Assorted Populations In Uncertain And Congested Environments, Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

This research is motivated by large scale problems in urban transportation and labor mobility where there is congestion for resources and uncertainty in movement. In such domains, even though the individual agents do not have an identity of their own and do not explicitly interact with other agents, they effect other agents. While there has been much research in handling such implicit effects, it has primarily assumed deterministic movements of agents. We address the issue of decision support for individual agents that are identical and have involuntary movements in dynamic environments. For instance, in a taxi fleet serving a city, …

Uncertain Congestion Games With Assorted Human Agent Populations , Pradeep Reddy Varakantham, Asrar Ahmed, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Congestion games model a wide variety of real-world resource congestion problems, such as selfish network routing, traffic route guidance in congested areas, taxi fleet optimization and crowd movement in busy areas. However, existing research in congestion games assumes: (a) deterministic movement of agents between resources; and (b) perfect rationality (i.e. maximizing their own expected value) of all agents. Such assumptions are not reasonable in dynamic domains where decision support has to be provided to humans. For instance, in optimizing the performance of a taxi fleet serving a city, movement of taxis can be involuntary or nondeterministic (decided by the specific …

Systems Simulation Using Promodel: An Online Teaching Method, Gustavo Sioni Bosoli

Masters Theses

This study was designed with the purpose to create an online method to deploy the concepts and practical knowledge necessary for the course System Simulation {TEC 5523) offered by Eastern Illinois University. The course is currently offered on a hybrid format, with part of it being ministered in the classroom and the remaining on the online environment. This research focused on creating a set of multimedia and step-by-step lessons aimed to substitute the part of the course that demands the students to be present in the classroom. These lessons were developed based on exercises from the textbook currently used for …

Development Of An Integrative Commissioning Methodology For New-Building Construction, William L. Gillis Iii

Doctoral Dissertations

"Commissioning (Cx) is a quality process for building construction used to verify that the owner's project requirements (OPR) are being met by the final design, construction, and operations and maintenance. The goal is to confirm that each phase of the project is linked back to the OPR through quality assurance methods. Leadership in Energy and Environmental Design (LEED) certification is an OPR which contributes to difficulties within the design and construction (D&C) process. Though LEED certification is only part of the OPR, too often the design drifts from the OPR and simply focuses on meeting the LEED certification.

Quality function …

An Intuitive Design Pattern For Sequentially Estimating Parameters Of A 2k Factorial Experiment With Active Confounding Avoidance And Least Treatment Combinations, H.-S. Jacob Tsao, Minnie Patel

Faculty Publications

2k Full factorial designs may be prohibitively expensive when the number of factors k is large. The most popular technique developed to reduce the number of treatment combinations is the fractional factorial design; confounding in estimating the model parameters naturally results in various resolution and aberration levels. While very useful, these resolution levels may not satisfy experimenters’ requirements for estimatibility and cost reduction. For example, while Resolution V ensures a common requirement that no two-factor interactions are confounded, it also imposes an often undesired restriction that a main effect cannot be confounded with a three-factor interaction, which may very well …

Supply Chain Optimization Of Blood Products, Serkan Gunpinar

USF Tampa Graduate Theses and Dissertations

Major challenges in the management of blood supply chain are related to the shortage and wastage of the blood products. Given the perishability characteristics of blood which can be stored up to a limited number of days, if hospitals and blood centers keep an excessive number of blood units on inventory, wastages may occur. On the other hand, if sufficient number of blood units are not stored on inventory, shortages of this resource may cause the cancellations of important activities and increase the fatality rates at hospitals. Three mathematical models have been developed with the goal to improve the efficiency …

Classification Models In Clinical Decision Making, Eleazar Gil-Herrera

USF Tampa Graduate Theses and Dissertations

In this dissertation, we present a collection of manuscripts describing the development of prognostic models designed to assist clinical decision making. This work is motivated by limitations of commonly used techniques to produce accessible prognostic models with easily interpretable and clinically credible results. Such limitations hinder prognostic model widespread utilization in medical practice.

Our methodology is based on Rough Set Theory (RST) as a mathematical tool for clinical data anal- ysis. We focus on developing rule-based prognostic models for end-of life care decision making in an effort to improve the hospice referral process. The development of the prognostic models is …

Nylon Tension Pid Control During Raw Tire Assembly, Yuan-Yu Luo

College of Graduate Studies: Theses & Dissertations

The purpose of this study is to evaluate several control methods to see which one has the best control of nylon tension during raw tire assembly. After nylon application step of the tire building process, the shape of the tire will undergo inflation that causes the nylon layers to expand and produces tension gradient. To overcome such a problem, the process needs to preapply a nylon trip with a gradient of tension so the tension can be balanced after the inflation step. The study evaluated several PID controllers and gathered data to see which controller results in the best nylon …

An Investigation On How Operational Wind Turbines Are Used In Secondary Classrooms, James Smith

Dissertations and Theses @ UNI

Through a review of literature, it was found that many schools in the United States are installing operational wind turbines, but it was unclear how teachers were using them in their science, technology, engineering and mathematics (STEM) classrooms. In order to identify how these operational wind turbines were being used and to create a list of expectations for schools with operational wind turbines, this exploratory study surveyed STEM teachers from all across the United States. A stratified random sample was created using a U.S. Department of Energy database of schools with operational wind turbines. Administrators from the selected schools identified …

Real Options Modeling And Valuation Of Price Adjustment Flexibility With An Application To The Leasing Industry, Ahmed A. A. Al Sharif

Doctoral Dissertations

"Uncertainty poses not only threats but also opportunities. This study sought to build the scientific foundation for introducing a real options (ROs) methodology for price risk management to the leasing industry. A price risk management that allows for both coping with threats and taking advantage of opportunities. In the leasing industry, fixed rate long-term lease contracts help contract parties stabilize cash flows within volatile markets. The contract's term, however, may be extended long enough that prevent capturing the opportunities of gaining greater profits or reducing expenses. Therefore, the flexibility that enables participants to take advantage of favorable market price is …

Two Essays On Dynamic Programming And Reinforcement Learning, Shuva Ghosh

Doctoral Dissertations

"The semi-Markov decision process (SMDP) is a variant of the Markov decision process (MOP). This dissertation work focuses on the application of SMDPs to disaster response management and to maintenance management. Average and discounted reward are two popular performance metrics for MDPs/SMDPs. While both dynamic programming (DP) methods, i.e., value iteration and policy iteration, are commonly used to solve MDPs/SMDPs, value iteration is easier to apply than policy iteration. The existing value iteration algorithms for average reward SMDPs have some noteworthy limitations, which are sought to be overcome in this work. Reinforcement learning (RL) techniques, which are also studied in …