Operations Research, Systems Engineering and Industrial Engineering Commons^™

Two-Stage Dynamic Emergency And Disaster Resistance Operation Strategy For Active Distribution Network, Zhang Wei, Li Quan, Yuqiu Zhou, Yuhang Luo, Peifeng Xi

Journal of System Simulation

Abstract: The persistence and gradual change of the typhoons and other dynamic disasters, increase the complexity of the fault recovery process. In order to quickly restore the power to the active distribution network, a two-stage dynamic emergency operational strategy is proposed and the corresponding overall optimization model is established. The strategy includes the resource allocation plan, island partition scheme and cooperative scheme of the emergency repair and restoration. In the first stage, the pre-disaster resource allocation plan is made according to the travel time and attribute matching situation between the disaster-stricken areas and the repair resources. In the second stage, …

Model And Simulation Of Interactive Dissemination Of Multiple Public Opinion Information Under Government Intervention, Zhiying Wang, Weikang Wang, Chaolong Yue

Journal of System Simulation

Abstract: In order to identify the interactive dissemination rules of the multiple public opinion information (POI) in major emergencies and make the intervention decisions more pertinently, an intervention model of interactive dissemination is proposed. The model integrates the characteristics of the unequal competition of multiple POI, expands the existing intervention model of the single POI dissemination, and could analyze the intervention measures from the global perspective of the interactive dissemination. Case analysis and simulation results show that the proposed model could well simulate the evolution of the interactive transmission of the multiple POI. Although the strong POI is more harmful …

Research On Dynamic Editable Method For Combat Simulation Model Combination, Wu Wei

Journal of System Simulation

Abstract: Focus on the low flexibility, interactivity and maneuverability of the combat simulation system, a dynamic editing method for the simulation model combination is proposed. This method is based on the technology of dynamic design of model combination, dynamic editing of simulation model combination and visual programming, which using the Interface-oriented and face-cut design in the model design to realize the flexible and high efficient combat modeling and simulation. A military ship model is designed as the experimental case, in which the feasibility and effectiveness of the proposed method are discussed and verified. The experiment results demonstrate that the method …

A Model To Estimate The Lifetime Of Bess For The Prosumer Community Of Manufacturers With Ogs, Md Monirul Islam, Cihan H. Dagli, Zeyi Sun

Engineering Management and Systems Engineering Faculty Research & Creative Works

Onsite generation system (OGS) with renewable sources for modern manufacturing plant is considered as a critical alternative energy source for the manufacturers. Prosumer community can be formed by aggregating such manufacturers to achieve a mutual goal of sustainable and resilient power system. As the sustainability of the network depends on the reliable operations of each component in the network, it is required to monitor the performance and lifetime of the components existed in the network. One of the critical as well as costly components used to enhance the reliability and performance of the network is the battery energy storage system …

An Agent-Based Model To Study Competitive Construction Bidding And The Winner's Curse, Amr Elsayegh, Cihan H. Dagli, Islam H. El-Adaway

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reverse auction theory is the basis for competitive construction bidding process. The lowest bid method is utilized for selecting contractors in public projects. The winning contractor having the lowest bid value could be cursed when the submitted bid value results in negative profits. This is caused by many factors such as the contractor's estimation accuracy and markup. This is addressed in this paper by providing a model simulating the construction competitive bidding and the occurrence of the winner's curse. To this end, the authors show the extent to which the winner's curse affects the status of contracting companies. The objectives …

Efficient Architecture Search For Deep Neural Networks, Ram Deepak Gottapu, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper addresses the scalability challenge of automatic deep neural architecture search by implementing a parameter sharing approach with regularized genetic algorithm (RGE). The key idea is to use a regularized genetic algorithm (RGE) on a pre-determined template and discover a high-performance architecture by searching for the optimal chromosome. During evolution, each model corresponding to a discovered chromosome is trained for a fixed number of epochs to minimize a canonical cross-entropy loss on a given training dataset. Meanwhile, the performance of the trained model on validation dataset is used as a fitness value to perform the evolutions. Because of parameter …

Agent Based Modeling For Flood Inundation Mapping And Rerouting, Vinayaka Gude, Steven Corns, Cihan H. Dagli, Suzanna Long

Engineering Management and Systems Engineering Faculty Research & Creative Works

Natural disasters like earthquakes and floods can have a serious impact on road networks, which are critical to supply chain infrastructure and to provide connectivity. These extreme events can result in isolating people in the affected area from hospitals and emergency response. This paper presents an agent-based model for understanding flood propagation and developing inundation mapping. The results from the mapping are used to identify the roads prone to floods based on elevation data and flood simulation. A simulation environment was set up in SUMO, and the costs associated with the traffic disruption are evaluated. This paper discusses the integration …

Modeling And Simulation Of A Robotic Bridge Inspection System, Md Monirul Karim, Cihan H. Dagli, Ruwen Qin

Engineering Management and Systems Engineering Faculty Research & Creative Works

Inspection and preservation of the aging bridges to extend their service life has been recognized as one of the important tasks of the State Departments of Transportation. Yet manual inspection procedure is not efficient to determine the safety status of the bridges in order to facilitate the implementation of appropriate maintenance. In this paper, a complex model involving a remotely controlled robotic platform is proposed to inspect the safety status of the bridges which will eliminate labor-intensive inspection. Mobile cameras from unmanned airborne vehicles (UAV) are used to collect bridge inspection data in order to record the periodic changes of …

Preface To The Special Issue: "Complex Adaptive Systems," Malvern, Pennsylvania, November 13-15, 2019, Nil Kilicay-Ergin, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

A System Dynamics Approach For Study Of Population Growth And The Residential Housing Market In The Us, Gasser Galal Ali, Islam H. El-Adaway, Cihan H. Dagli

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The US Consensus bureau estimated the total construction spending at 1,320,305 Million Dollars, in February 2020, with an increase of 1.1% since last February. The construction market is large, and risky. Prediction of the market behavior, for several years ahead, is needed in order to take strategic investment decision for long and expensive projects. The goal of this research is to study the relationship between population growth and the housing market. To that end, a system dynamics model is developed. System dynamics is a top-down approach that starts with the high-level behavior of a complex system to simulate the behavior …

A System Dynamics Model For Construction Safety Behavior, Mohamad Abdul Nabi, Islam H. El-Adaway, Cihan H. Dagli

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Construction Industry has always been reputed by its high incident rates and poor safety performance. Construction accidents are, in most cases, resulted from the unsafe behaviors of construction workers on site. The study of workers' behavior is crucial in order to understand the causation of unsafe behaviors. Therefore, the objective of this paper is to simulate construction safety behavior in order to predict the number of safety incidents and better understand their causation factors. The simulation model illustrates how construction system influences construction labors on site in terms of unsafe behavior. The standard leading indicators of safety performance are first …

A System-Of-Systems Model To Simulate The Complex Emergent Behavior Of Vehicle Traffic On An Urban Transportation Infrastructure Network, Rayan Assaad, Cihan H. Dagli, Islam H. El-Adaway

Engineering Management and Systems Engineering Faculty Research & Creative Works

Transportation agencies face escalating challenges in forecasting the traffic demand. Traditional prediction methods focused on individual transportation sectors and failed to study the inter-dependencies between the different transportation systems. Hence, there is a need for more advanced and holistic modeling techniques. To this end, this paper models and analyses an urban transportation system-of-systems incorporating seven various systems: population and GDP, CO₂ emission, gasoline price and total vehicle trips, traffic demand, public and private transportation, transportation investment, and traffic congestion. Accordingly, this research simulates transportation networks as a collection of task-oriented systems that combine their resources to form a complex …

An Agent-Based Approach To Artificial Stock Market Modeling, Samuel Vanfossan, Cihan H. Dagli, Benjamin J. Kwasa

Engineering Management and Systems Engineering Faculty Research & Creative Works

Consumer stock markets have long been a target of modeling efforts for the economic gains anticipatorily enabled by well-performing models. Aimed at identifying strategies capable of achieving desired returns, many modeling approaches have attempted to capture the innumerable and intricate complexities present within these adaptive socio-technical systems. Decreasingly constrained by available computation power, contemporary models have grown in sophistication to include several of the features present in de facto market systems. However, these models require extensive effort to dictate the variety of states, behaviors, and adaptations that entities of the system may exhibit. Mandating the development of complex formulas and …

Product Realization Capstone: Element Proof Safety Steps For Willie Price Lab School, Catherine Thomas, Allan Heuerman, Jared Mumme

Honors Theses

The purpose of this document is to describe the process we took to complete our capstone which paired the Center for Manufacturing Excellence with the Willie Price Lab School. The goal of the capstone was to remake step stools for the students of Willie Price, as the last stools failed to withstand weather damage. However, with the COVID-19 pandemic, plans were hindered, shifting the goal from actually producing the steps to creating instructions so that a younger Center for Manufacturing class could complete the production at a later date. Standardized Work Instructions, a detailed production plan, and engineering drawings were …

Applying Lean Manufacturing Principles At Vip Cinema: Standardizing Hardware Assembly Workstations, Cameron Koch

Honors Theses

This paper will explore the benefits of standardization and consistency in a manufacturing setting by demonstrating the value of improved tooling and organization. “Lean Manufacturing” is the broad term used to describe key principles that can be applied to most businesses to reduce waste and increase efficiency. This ideology’s theme is to maximize customer value while minimizing waste. The purpose of its adoption is to transform managers and operators into experts of identifying the deficiencies in many manufacturing and assembly processes and implementing changes that can lead to enormous improvements in takt time, production output, and ultimately, profitability. At VIP …

Dataset For Analysis Of Very High Surface Area 3d Printed Media In A Moving Bed Biofilm Sequencing Batch Reactor For Wastewater Treatment, Gabriel Proano-Pena, Andres L. Carrano, David M. Blersch

Faculty Datasets

This dataset includes 15 subfolders named Table6 trough Table20. Each folder is associated with a supplemental table. Each subfolder includes three files: .csv, .pdf/A, and .txt. The Table6 folder contains the raw data derived from experimentation. The remaining folders relate to data processing represented by figures or remarked as significant in the related manuscript: "Analysis of very high surface area 3D printed media in a Moving Bed Biofilm Sequencing Batch Reactor for Wastewater Treatment".

How Predictable Is Space Exploration?, Michael Christopher Howell

Theses and Dissertations

Recent research has suggested that progress in technological domains often improves in an exponential manner. The traditional method to model this increase in capability has been to fit a model with time or effort as an independent variable and then extrapolate the trend (Moore, 1965, Wright, 1936, Magee et al., 2014). Although other methods have been used as well (Nagy et al, 2013). While effective, these methods are not the only way to forecast such trends and they have their own limitations. Recent research has indicated that a potentially useful approach for modeling technological improvement is time series analysis. I …

Exploring The Relationship Between Sustainable Projects And Institutional Isomorphisms: A Project Typology, Rakan Alyamani, Suzanna Long, Mohammad Nurunnabi

Engineering Management and Systems Engineering Faculty Research & Creative Works

With the increase in awareness about the wide range of issues and adverse effects associated with the use of conventional energy sources came an increase in project management research related to sustainability and sustainable development. Part of that research is devoted to the development of sustainable project typologies that classify projects based on a variety of external factors that can significantly impact these projects. This research focuses on developing a sustainable project typology that classifies sustainable projects based on the external institutional influences. The typology explores the influence of the coercive, normative, and mimetic institutional isomorphisms on the expected level …

Comparison Of Mpi And Spark For Data Science Applications, Manvi Saxena, Shweta Jha, Saba Khan, John Rodgers, Peggy Lindner, Edgar Gabriel

Engineering Management and Systems Engineering Faculty Research & Creative Works

Data Science applications represent a growing fraction of the scientific computing workload, many of them written in Python. The goal of this paper is to compare two popular parallel programming models, namely MPI and Apache Spark for Python based Data Science applications. The paper presents communication and file I/O microbenchmarks to evaluate the MPI support for Python applications and uses two applications use-cases from Natural Language Processing to compare the performance of the MPI and the Spark versions. Our results indicate that the MPI version shows better scalability and performance than the PySpark version of the code. On the other …

Robust, Time-Critical, Evidence-Based Adaptive Data Fusion, Mohammad Amin Javadi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Sensors have become inevitable part of many studies and working areas ranging from navigation, transportation and medical applications. A sensor can help a user in a variety of situations including dangerous, inaccessible, time and money-consuming circumstances. Applying multiple sensors simultaneously allows for improving the accuracy of measurement estimates for system states. As an example, a part of this study uses a GPS sensor to increase the accuracy of the position estimation obtained by an IMU in an indoor environment. The same GPS device with position outputs can also be studied to provide a new measuring dimension such as velocity. This …

Some New Results On Statistical Information And Evidence, Maryam Moghimi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This dissertation represents an attempt to relate some fundamental statistical problems using the notions of information, entropy, and evidence.

Locating Relay Nodes To Maximize Wireless Sensor Network Lifetime: A Numerical Study, Maria Rene Arandia Jimenez

Industrial Engineering Undergraduate Honors Theses

A wireless sensor network (WSN) is a group of sensors deployed over an area, which monitor changes in the environment, collects them as data and forwards it between sensors through wireless links. Data is routed, either in a single-hop or multi-hop manner, with the goal of getting this collected data to the sink nodes, which have higher computational capabilities and connects the network with a user interface. Studies have determined that multi-hop WSNs that integrate relay nodes, which function is to only receive and forward data, can maximize lifetime network. A linear programming model, created by Chang and Tassiulas in …

Identifying And Addressing Improvement Opportunities In Primary Care Clinics, Mozhdeh Sadighi

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

ABSTRACT: The main aim of this dissertation is to study how unrecognized opportunities for improving efficiency of in-person patient visits in a primary care clinic can be identified and addressed. To fulfill this goal, the research is divided into three distinct but related sections. Section one, with the most holistic view, uses a combination of scientific and rigorous methods along two research paths and, as a result, explores two opportunities for improvement in the clinic. These opportunities are high patient waiting time and unbalanced workload. Sections two and three each focus on underlying conditions driving one of these two opportunities. …

Improving Offensive Player Performance Measures For Assessing Free Agent Major League Baseball Players, Henley Wells

Industrial Engineering Undergraduate Honors Theses

Professional sports teams are important to their local economies, so successful franchises are significant contributors to their prosperity. This need for successful teams drives the owners and general managers to perform in-depth analyses on potential players to gain insight, so the best players can be chosen. Major League Baseball is one of the largest sports leagues in the world, so their analysis of players must be excellent to ensure they sign the best players and can compete at a high level.

Baseball is a complex sport with many different statistics evaluating nearly every part of a player’s game. Because of …

Curriculum Optimization Via Activity-On-Node Network Modeling, Caroline Rhomberg

Industrial Engineering Undergraduate Honors Theses

University degree plans must be carefully planned so that they allow students the best chance of succeeding. Although for the better, with the advancement of technology and its incorporation into the classroom, it can be argued that the complexity and difficulty of some long-established engineering core classes has changed. With this trend certain combinations of engineering courses have become unfavorable in terms of course withdrawal and fail rates stemming from the interaction of course challenges. A wealth of data has been collected on this topic and will be utilized in this project. As one can imagine, the probability of success …

Characterizing Statin Use Among Prediabetic Patients With Predictive Analytics, Alexandra Gentile

Industrial Engineering Undergraduate Honors Theses

Diabetes is one of the leading causes of death in the United States and can cause severe impairments to those diagnosed. Prediabetes is a state when a patient has higher fasting plasma glucose levels than a non-diabetic person but is not quite high enough to be considered diabetes. Both diabetic and prediabetic patients are at higher risk for cardiovascular diseases (CVD), which is the leading cause of death in the United States. The primary form for prevention and treatment of CVD is through statin therapy. Statins are a class of medications used to treat and prevent CVD by limiting cholesterol …

Optimal Emergency Response Shelter Placement Based On Population Vulnerabilities, Alexander Johnson

Industrial Engineering Undergraduate Honors Theses

Hurricane Florence was a category 4 storm which caused an estimated $24 billion in damages and the loss of 53 lives. During and immediately following Florence, there were 235 shelters operating in and around the North Carolina (NC) area. These were used as temporary housing for storm victims and by emergency responders to distribute relief supplies and provide medical services. Emergency officials consider several factors when deciding where to open shelters, including, for example, proximity of victims and their levels of medical needs. Access disparities, or factors creating barriers that limit entry to shelters, put certain populations and regions at …

A Simulation Approach To Evaluate The Impact Of Breast Cancer Overdiagnosis On Patient Outcomes, Sierra Wagner

Industrial Engineering Undergraduate Honors Theses

Breast cancer overdiagnosis risk is difficult to estimate and varies significantly across current research. This research establishes a simulation approach to examine the relationship between breast cancer overdiagnosis and patient outcome and understand the impact that the range of breast cancer overdiagnosis rate estimates in the current literature has on patient outcomes. Overdiagnosis is represented in this study by a set of disease regression probabilities. Using microsimulation, we evaluate patient outcome, measured by number of mammograms and lifetime breast cancer mortality risk, as a function of treatment policy and regression probability. We use numerical experiments to evaluate treatment policies and …

Intruder Preference And Route Selection: A Gis Data Approach, Griffin Mathews

Industrial Engineering Undergraduate Honors Theses

The Department of Homeland Security (DHS) requested an Engineering Research and Development Center study incorporating modeling and simulation to determine the selection, amount, and optimal location of sensor suites along the U.S. Border. The study objective is to maximize the probability of detection and apprehension of illegal elements attempting to enter. A study on intruders and their preferences were conducted to create an intruder preference value map to determine the preferred intruder routes taken after crossing the border. The results of this research were integrated into another study on the selection and simulation of sensor suites.

Intruder context and preferences …

Simulation Modeling Of Cross-Dock And Distribution Center Based Supply Chains, Ghewa Al Chall

Graduate Theses and Dissertations

Companies are implementing new strategies to meet the customer requirements in terms of quality, timing, and cost. One of these strategies is cross-docking, which can be defined as the process of consolidating the products coming from different suppliers, but having the same destination, with minimal handling and almost no storage between loading and unloading of the goods. The purpose of this research is to investigate the benefits of having a cross-docking facility in a supply chain. In this research, we focus on developing discrete event simulation models using the opensource Java Simulation Library (JSL). Also, we work on augmenting an …