Operations Research, Systems Engineering and Industrial Engineering Commons^™

Analyzing Responses From Likert Surveys And Risk-Adjusted Ranking: A Data Analytics Perspective, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

We broadly consider the topic of ranking entities from surveys/opinions. Often, numerous ranks from different respondents are available for the same entity, e.g., a candidate from a pool, and yet an averaging of those ranks may not serve the purpose of identifying a consensus candidate. We first consider a risk-adjusted paradigm for ranking, where the rank is defined as the average (mean) rank plus a scalar times the risk in the rank; we use standard deviation as a risk metric. In case of a candidate being ranked either on the basis of opinions of a selection committee's members or on …

Determination Of Rule Patterns In Complex Event Processing Using Machine Learning Techniques, Nijat Mehdiyev, Julian Krumeich, David Lee Enke, Dirk Werth, Peter Loos

Engineering Management and Systems Engineering Faculty Research & Creative Works

Complex Event Processing (CEP) is a novel and promising methodology that enables the real-time analysis of stream event data. The main purpose of CEP is detection of the complex event patterns from the atomic and semantically low-level events such as sensor, log, or RFID data. Determination of the rule patterns for matching these simple events based on the temporal, semantic, or spatial correlations is the central task of CEP systems. In the current design of the CEP systems, experts provide event rule patterns. Having reached maturity, the Big Data Systems and Internet of Things (IoT) technology require the implementation of …

Engineering Cyber Physical Systems: Machine Learning, Data Analytics And Smart Systems Architecting Preface, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Multi-faceted systems of the future will entail complex logic with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized.

We are building systems that are created by a network of physical objects that contain embedded technology to communicate and interact with their internal states or the external environment. These changes in technology and deployment of system of systems having these new characteristics are demanding new ways of thinking and engineering. These are complex adaptive …

Noise Canceling In Volatility Forecasting Using An Adaptive Neural Network Filter, Soheil Almasi Monfared, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Volatility forecasting models are becoming more accurate, but noise looks to be an inseparable part of these forecasts. Nonetheless, using adaptive filters to cancel the noise should help improve the performance of the forecasting models. Adaptive filters have the advantage of changing based on the environment. This feature is vital when they are used along with a model for volatility forecasting and error cancellation in the financial markets. Nonlinear Autoregressive (NAR) neural networks have simple structures, but they are efficient tools in error cancelation systems when working with non-stationary and random walk noise processes. For this research, an adaptive threshold …

Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures' contracts. Every agricultural future's contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used …

Selecting Attributes, Rules, And Membership Functions For Fuzzy Sos Architecture Evaluation, Louis Pape, Siddhartha Agarwal, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The development of the FILA-SoS meta-architecture approach to acknowledged systems of systems (SoS) analysis allows a relatively unbiased method for exploring a potential SoS architecture space. This paper delves more deeply into the process of building the lists of desirable fuzzy attributes of a SoS, developing rules for combining attribute values to an overall assessment, and discovering membership function shapes that work well. A wide range of options exist for all the individual elements of SoS assessment. Some recommendations for finding an appropriate combination for the adjustable parameters of fuzzy assessment models through random architecture chromosome testing and iteration are …

“Rooming The Patient” Vs. “Moving The Patient", Susan L. Murray, Elizabeth A. Cudney

Engineering Management and Systems Engineering Faculty Research & Creative Works

Healthcare is coming under ever increasing scrutiny for cost, quality, safety, and patient satisfaction. This paper compares two operational models (“rooming the patience” vs. “moving the patient”) against productivity, privacy, user satisfaction, and other performance measurements. Varying risk factors for patient populations ranging from infants to geriatrics and medical specialties from mental health to orthopedics are addressed for both models. In the first operational model after checking-in the patient is escorted to an examination room and waits as various caregivers (nurses, doctors, clerks, etc.) come and go from the exam room. In the second model the caregivers work from a …

Engaging Healthcare Users Through Gamification In Knowledge Sharing Of Continuous Improvement In Healthcare, Elizabeth A. Cudney, Susan L. Murray, Connor M. Sprague, Lalaine M. Byrd, Frances M. Morris, Nathaniel Merwin, Debra L. Warner

Engineering Management and Systems Engineering Faculty Research & Creative Works

Knowledge management systems are key for capturing, retaining, and communicating results from projects and presenting information to staff. The purpose of a knowledge management system is to tap into the vast wisdom from projects and experts across an organization. This research focuses on the knowledge management system within the Veterans Health Administration that was developed as a repository of information on continuous improvement tools such as flowcharts, value stream mapping, 5S, and the application of these in healthcare projects. The use of social network analysis and gamification improves website organization, user participation, and dissemination of shared knowledge related to continuous …

Evaluating Generated Risk Event Effect Neutralization As A New Mitigation Strategy Tool In The Upstream Industry, Mohammad A. Alkazimi, Hanan Altabbakh, Susan L. Murray, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

The upstream industry uses diverse risk mitigation approaches to mitigate eventual failures within its facilities. Yet, these approaches could not avert major accidents, on different scales, from happening as they negatively affect the industry. The purpose of this paper is to assess Generated Risk Event Effect Neutralization (GREEN) as a new tool to select suitable risk mitigation approach to prevent prospective failures in upstream industry. More than 200 hundred major accidents in the industry underwent GREEN evaluation and compared with existing risk mitigation approaches used in to mitigate eventual failures. Kuwait's’ Mina Al-Ahmadi explosion was chosen as a case study …

Blended Classes: Expectations Vs. Reality, Susan L. Murray, Julie Phelps, Kelly L. Jones

Engineering Management and Systems Engineering Faculty Research & Creative Works

Blended courses, also called hybrid, have a portion of the course taught face-to-face in a classroom, and at least one-third of the course work is online. Some instructors consider this format to be "the best of both worlds." Students receive the personal contact and interaction with the instructor during the classroom portion. They also have flexibility in the pace, access, and repetition of the online content. In this paper, we explore 49 graduate students' expectations for a required operations management course that was delivered in a blended format. The same students were also surveyed at the completion of the course …

A Systematic Review Of Technological Advancements To Enhance Learning, Elizabeth A. Cudney, Julie Ezzell

Engineering Management and Systems Engineering Faculty Research & Creative Works

Assessing student learning styles and incorporating thought-provoking activities has been a focus of research for years. Virtual technology and social media are transforming traditional classrooms into training spaces that can be tailored for individual learning patterns and personalized for different skill levels. These technological tools are not only revolutionizing the conventional lecture-based classroom but also beginning to incorporate options such as flipped and blended classrooms. Students in these nontraditional settings are given additional hands-on experience that allows them to become immersed in a variety of subjects. Flipped classrooms in particular use class time effectively by challenging students to prepare prior …

A Computational Intelligence Approach To System-Of-Systems Architecting Incorporating Multi-Objective Optimization, David M. Curry, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

A computational intelligence approach to system-of-systems architecting is developed using multi-objective optimization. Such an approach yields a set of optimal solutions (the Pareto set) which has both advantages and disadvantages. The primary benefit is that a set of solutions provides a picture of the optimal solution space that a single solution cannot. The primary difficulty is making use of a potentially infinite set of solutions. Therefore, a significant part of this approach is the development of a method to model the solution set with a finite number of points allowing the architect to intelligently choose a subset of optimal solutions …

Flexible And Intelligent Learning Architectures For Sos (Fila-Sos), Cihan H. Dagli, David Lee Enke, Nil Ergin, Dincer Konur, Ruwen Qin, Abhijit Gosavi, Renzhong Wang, Louis Pape Ii, Siddhartha Agarwal, Ram Deepak Gottapu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. Our quest continues to handle complexities, design and operate these systems. The challenge in Complex Adaptive Systems design is to design an organized complexity that will allow a system to achieve its goals. This report attempts to push the boundaries of research in complexity, by identifying challenges and opportunities. Complex adaptive system-of-systems (CASoS) …

Defensive Routines In Engineering Managers And Non-Engineering Managers -- A Case Analysis, Tyria Riley, Elizabeth A. Cudney

Engineering Management and Systems Engineering Faculty Research & Creative Works

There is a perception that engineers experience challenges in areas such as communication, conflict resolution, and leadership. Defensive routines are actions implemented as a result of being in an embarrassing or threatening situation. This research uses a case study approach to measure whether defensive routines are more common in engineering managers or non-engineering managers. Twenty-seven managers created case studies based on their unique experiences as managers. These case studies were scored, and the results of this research indicate that engineering managers employ defensive routines more commonly than non-engineering managers.