A System Dynamics Model For Construction Safety Behavior,
2020
Missouri University of Science and Technology
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 Model To Estimate The Lifetime Of Bess For The Prosumer Community Of Manufacturers With Ogs,
2020
Missouri University of Science and Technology
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 …
A System-Of-Systems Model To Simulate The Complex Emergent Behavior Of Vehicle Traffic On An Urban Transportation Infrastructure Network,
2020
Missouri University of Science and Technology
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 …
Agent Based Modeling For Flood Inundation Mapping And Rerouting,
2020
Missouri University of Science and Technology
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 …
An Agent-Based Approach To Artificial Stock Market Modeling,
2020
Missouri University of Science and Technology
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 …
An Agent-Based Model To Study Competitive Construction Bidding And The Winner's Curse,
2020
Missouri University of Science and Technology
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,
2020
Missouri University of Science and Technology
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 …
Modeling And Simulation Of A Robotic Bridge Inspection System,
2020
Missouri University of Science and Technology
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,
2020
Missouri University of Science and Technology
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.
Product Realization Capstone: Element Proof Safety Steps For Willie Price Lab School,
2020
University of Mississippi
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,
2020
University of Mississippi
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 …
How Predictable Is Space Exploration?,
2020
University of Arkansas Little Rock
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 …
Dataset For Analysis Of Very High Surface Area 3d Printed Media In A Moving Bed Biofilm Sequencing Batch Reactor For Wastewater Treatment,
2020
Universidad de Guayaquil, Ecuador
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
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".
Robust, Time-Critical, Evidence-Based Adaptive Data Fusion,
2020
University of Texas at Arlington
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,
2020
University of Texas at Arlington
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.
A Machine Learning Approach For Allocating Route Cost To Customers For Transportation And Logistics Services.,
2020
University of Louisville
A Machine Learning Approach For Allocating Route Cost To Customers For Transportation And Logistics Services., Alison Davis
Electronic Theses and Dissertations
Advancements in big data enabled management practices inspire logistics companies to study deeper into their transportation operations with a data driven approach. One such question asks: How can a logistics firm identify high-cost customers in their service network? In the presence of rich data on routes involving many customers, this thesis develops a framework to allocate a route cost among customers that the route serves, where each route is associated with multiple route features related to the transportation cost. Cost is allocated using the proportional allocation approach in combination with the random forest method in machine learning. First, this framework …
Gridhub: A Grid-Based, High-Density Material Handling System.,
2020
University of Louisville
Gridhub: A Grid-Based, High-Density Material Handling System., Gang Hao
Electronic Theses and Dissertations
In the past twenty years, the share of e-commerce has increased (FRED, 2019). Since more and more activities, such as picking and sorting customers’ orders, are done in warehouses, high efficiency warehouses are in demand. Furthermore, the efficiency of warehouses is related to customer satisfaction (Colla and Lapoule, 2012). Storage systems are key components in warehouses, which are related to the efficiency of warehouse operations. In this dissertation, we address an automatic puzzle-based storage system under decentralized control. We call this system GridHub. GridHub meets standards of Industry 4.0 (Lasi et al., 2014), and it features high throughput with parallel …
Mathematical Modeling Approaches In Sustainable Food Supply Chains,
2020
University of Texas at Arlington
Mathematical Modeling Approaches In Sustainable Food Supply Chains, Amin Gharehyakheh
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Access to high quality and safe food is vital for sustainable development in societies. Perishable foods lose a major portion of their quality after harvesting until the consumption point due to poor storage and distribution conditions. Thus, improvements in food supply chain operations are very critical in the sustainable development of society and the industry. The first part of this dissertation seeks to find a cost-effective and reliable tool to monitor the quality loss and implementation of the least shelf life first-out inventory management policy in food banks. Application of the Gompertz model and Arrhenius equation based on time-temperature data …
Locating Relay Nodes To Maximize Wireless Sensor Network Lifetime: A Numerical Study,
2020
University of Arkansas, Fayetteville
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,
2020
University of Texas at Arlington
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. …
