Operations Research, Systems Engineering and Industrial Engineering Commons^™

Fatigue Analysis Of The Welded Region In The Automotive Torsion Beam Rear Suspension System, Nan Zhan, Xiaochuan Zhang

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Exploring Regional And Telecoupled Land Use Change Impacts From Environmental Shocks, Kevin Hill, Liz Wachs, Brady Hardiman, David Yu, Shweta Singh

The Summer Undergraduate Research Fellowship (SURF) Symposium

Natural disasters or environmental shocks have the potential to disrupt local agricultural systems as well as distant agricultural systems through cascading effects. In this work we selected two distinct environmental shocks and traced their cascading effects on land use change. Quantifying cascading effects is a salient issue because climate change forecasts indicate an increase in frequency and intensity of global environmental shocks. This study incorporated the concept of telecoupled systems involving interrelating ecological, economic and political/social components. A telecoupled framework involving cascading effects was implemented using three approaches. The first approach involved using bilateral agricultural trade matrix data to analyze …

Leveraging Smart Infusion Pump Data For Workflow, Patient Care And Usability Improvement In Human Factors, Yan Ni Ding, Denny Yu, Poching Delaurentis, Kang-Yu Hsu, Joon Hong Kim

The Summer Undergraduate Research Fellowship (SURF) Symposium

Infusion pumps are medical devices that deliver fluids like medication, and nutrients in a precise, timely, and controlled manner that is critical to patient care. It is widely used in clinical settings especially in hospitals, nursing homes and sometimes at home. Smart infusion pumps technology are supposed to be reduce nurses’ workload, but due to the recurring number of alarms which disrupt the workflow of the infusion process, most nurses prefer to use the traditional infusion pumps or work-around the safety features of the smart pumps. Thus, the aim of this research is to leverage Smart Infusion Pump data to …

Impact Of Microscope, Loupes, And Video Displays On Microsurgeons’ Risk For Musculoskeletal Injuries, Yiyu Shi, Denny Yu

The Summer Undergraduate Research Fellowship (SURF) Symposium

Microsurgery is commonly performed with operating microscopes or loupes to repair traumatic injuries, damage from cancer surgery, etc.; however, the prolonged, awkward, and constrained postures from using these equipment puts microsurgeons at risk for musculoskeletal pain and injuries. An alternative heads-up displays may improve surgeons’ ergonomics by allowing microsurgeons to perform the procedure in a more comfortable and ergonomic position. The study compares the effect of microscope, loupes and video displays on postures during microsurgical targeting task. This study incorporated three steps to contrast displays. Firstly, 12 participants wearing six reflective markers completed a surgery simulation using all three displays, …

How User's Visualization Literacy Relates To Their Cognitive Traits, Jiming Yang, Sukwon Lee, Ji Soo Yi

The Summer Undergraduate Research Fellowship (SURF) Symposium

Researchers in the field of Information Visualization have suggested that users’ cognitive abilities would likely to affect their understanding of data visualizations and deeper exploration in the visualizations. However, the evidence is still scant to link between user’s visualization literacy and their cognitive traits. Thus, the research goal of this study is to explore how user’s visualization literacy and their cognitive traits are related. In particular, we focused on two cognitive traits: numeracy and need-for-cognition. In order to achieve the goal, first, we measured visualization literacy, numeracy, and need-for-cognition using existing instruments with 46 Amazon Mechanical Turk workers, and the …

Service-Level Based Response By Assignment And Order Processing For Warehouse Automation, Zijian He

Open Access Theses

Along with tremendous growth of online sales in this Internet era, unprecedented intensive competition in shortening the delivery time of orders has been occurring among several major online retailers. On the other hand, the idea of customer-oriented service creates a trend of diversified pricing strategy. Different price options are offered to cater to diversified needs of customers. It has become an urgent need for online sales industries to provide the differentiated service levels for different classes of customers with different priorities based on the charging prices and resource constraints of the supply network.

In response to the challenges mentioned above, …

Best Matching Processes In Distributed Systems, Mohsen Moghaddam

Open Access Dissertations

The growing complexity and dynamic behavior of modern manufacturing and service industries along with competitive and globalized markets have gradually transformed traditional centralized systems into distributed networks of e- (electronic) Systems. Emerging examples include e-Factories, virtual enterprises, smart farms, automated warehouses, and intelligent transportation systems. These (and similar) distributed systems, regardless of context and application, have a property in common: They all involve certain types of interactions (collaborative, competitive, or both) among their distributed individuals—from clusters of passive sensors and machines to complex networks of computers, intelligent robots, humans, and enterprises. Having this common property, such systems may encounter common …

Parametric Approaches To Fractional Programs: Analytical And Empirical Study, Chong Hyun Park

Open Access Dissertations

Fractional programming is used to model problems where the objective function is a ratio of functions. A parametric modeling approach provides effective technique for obtaining optimal solutions of these fractional programming problems. Although many heuristic algorithms have been proposed and assessed relative to each other, there are limited theoretical studies on the number of steps to obtain the solution. In this dissertation, I focus on the linear fractional combinatorial optimization problem, a special case of fractional programming where all functions in the objective function and constraints are linear and all variables are binary that model certain combinatorial structures. Two parametric …

Markov-Based Ranking Methods, Baback Vaziri

Open Access Dissertations

Ranking methods are an essential tool to help make decisions. This dissertation document examines different aspects of the theory and application of pairwise comparison ranking methods, specifically those that use Markov chains. First, a new method is developed to solve a traditional recruiting problem, and is shown to improve the predictive power of its ranking. Next, modifications are made to an existing method that theoretically improves the reliability, while maintaining the rank integrity. Last, a framework is developed that defines a fair and comprehensive ranking method, and several popular methods are evaluated in their ability to adhere to the said …

The Casualty Transportation Of Ebola Outbreak In Liberia: A Simulation Study, Hyejin Cho

Open Access Theses

In this paper, we have solved the unique problem of casualty transportation problem under Ebola by developing dynamic policies for vehicle routing in order to provide practical decision support. The objective of the proposed model is to minimize the total transmission risk. We describe the problem with real- constraints and parameters based on the empirical data of the 2014 Ebola outbreak in Liberia. The casualty transportation problem is a variant of Dynamic Pick-up and Delivery Problems (DPDP), in which a vehicle is dispatched to demand location in real time and it then transports the demands to the aimed area (destination). …

Developing Agent-Based Simulation Models Of Task Performance Of Cognitively Diverse Teams, Megan Marie Nyre

Open Access Theses

Team-oriented work dominates industry, government, and academic areas with the goal of solving increasingly complex problems. However, the scope and external validity of traditional human factors research is inherently limited by the time and resources required to conduct laboratory studies. The model described in this thesis integrates simulation with human factors by providing an operationalized model that incorporates cognitive diversity and domain expertise. Convergence and functionality of the model have been established through a series of analyses, and a clear path for future research has been identified. By integrating simulation methods into human factors subject areas, researchers may be able …

A Case Study Of Two-Echelon Multi-Depot Vehicle Routing Problem, Tianqi Yu

Open Access Theses

The Vehicle Routing Problem (VRP) is a classic combinatorial optimization problem and a topic still studied for practical applications. Current research focuses on single echelon distribution systems such as distribution centers serving customers. However, in typical distribution, goods flows among regional distribution centers, local warehouses and customers, defined as a two-echelon network. The two-echelon multiple depot VRP problem is documented and applied to two stages illustrated by a small scale computational example. In the first stage, the simulated annealing algorithm is employed to determine the routes between local warehouses and final customers. For the second stage, trial-and-error is applied to …

Health Monitoring Device, Prim Boonwisut, Askar Zhapbassov, Tahmeed Rafee

Engagement & Service-Learning Summit

No abstract provided.

Human-System Integration, Jiahui Cai, Xianpeng Wang, Xinyue Cao, Siyu Liu, Wanyu Wu, Xiao Shi, Yutong Xu

Engagement & Service-Learning Summit

No abstract provided.

A Smart System: Driver Safety For The Car Savvy And Not Through Mobile Application, Veronica Cruz, Jonathan La Plain

Engagement & Service-Learning Summit

No abstract provided.

Application Of Smart Factory Design In Nuclear Energy Industry With Focus On Safety, Olivia Crasta, Cem Yilmaz

Engagement & Service-Learning Summit

No abstract provided.

Automatic Food Expiration Notification System, Nikolas-Viktor P. Doukas, Ozan Celebi, Lindsey E. Colgrove, Michael D. Werner, Tre Commings, Christopher M. Zatek, Daniel E. Odihi

Engagement & Service-Learning Summit

No abstract provided.

"Smart" Airport App, Jacob A. Collins, Alyssa Williams, Vikrant Neb, Pranav Gupta

Engagement & Service-Learning Summit

We are going to make an app that can be used by people traveling through or from ORD airport (Chicago), which will provide live time update for security check line (in terms of time), change of gate for the flight and whether or not the flight is on time. The reason for developing this application is to simplify and improve the passenger’s overall airport experience in order to make it more enjoyable, informative, and time efficient while decreasing the current negative mentality towards traveling. Resources needed to create the prototype would include softwares that help in creating wireframes of the …

Enhancing A Flight Dispatcher Display For Safer Flight Operations, Jeongjoon Boo

Open Access Theses

This study assesses capability of flight dispatchers to adopt enhancements on their display that enables detection of flights in abnormal activities and investigation of the causes. Three approaches were used. First, the expected function for enhancements was designed by collecting information from different places about what technologies are available for consideration. Second, hierarchical task analysis was conducted based on data collected by interviewing a former flight dispatcher in order to assess operational capability to handle the enhancement. Third, based on the results of first two approaches, a display prototype that includes the enhancement was developed and evaluated for usability and …

System-Wide Prediction Of General, All-Cause, Preventable Hospital Readmissions, Ken Musselman, Brandon Pope, Steve Witz, Zhiyi Tian, Lingsong Zhang, Linda Leon, Ann Davis

RCHE Publications

Existing studies of hospital readmissions typically focus on specific diagnoses, age groups, discharge dispositions, payer classes, or hospitals, and often use small samples. It is not clear how predictive models generated from such studies generalize across diseases, hospitals, or time periods. In this study, a logistic regression model of readmission risk within 30 days based on hospital administrative data was constructed and validated across hospitals and time periods. The hospitals included both general and specialty hospitals such as long-term care, women’s, and children’s hospitals. The administrative data included information on patient’s demographics, diagnoses, procedures, and discharge disposition. Derivation and validation …

Pre-Mission Input Requirements To Enable Successful Sample Collection By A Remote Field/Eva Team, Barbara A. Cohen, Darlene S. S. Lim, Kelsey E. Young, Anna Brunner, Richard C. Elphic, Audrey Horne, Mary C. Kerrigan, Gordon O. Osinski, John R. Skok, Steven W. Squyres, David Saint-Jacques, Jennifer L. Heldmann

Journal of Human Performance in Extreme Environments

We used a field excursion to the West Clearwater Lake Impact structure as an opportunity to test factors that contribute to the decisions a remote field team (for example, astronauts conducting extravehicular activities (EVA) on planetary surfaces) makes while collecting samples for return to Earth. We found that detailed background on the analytical purpose of the samples, provided to the field team, enables them to identify and collect samples that meet specific analytical objectives. However, such samples are not always identifiable during field reconnaissance activities, and may only be recognized after outcrop characterization and interpretation by crew and/or science team …

Detecting Periods Of Flight With High Task Load, James R. Parkinson, Steven J. Landry, Quang Dao, Caitlin Surakitbanharn

The Summer Undergraduate Research Fellowship (SURF) Symposium

Tools that predict dangerous working conditions empirically in the cockpit could greatly improve aviation safety. In an effort to lay the groundwork for such tools, this study will investigate whether a link exists between task load and pilots’ control strategies, their biometric data, and their planes’ position data. Using X Plane simulation software, an experiment will be run in which licensed pilots will fly a 3-nautical-mile approach into Mineta San Jose International Airport 4 times, under different task load conditions. During the flight, participants’ pupil diameters will be recorded along with the simulated aircraft position data and cognitive control modes. …

Identifying Mode Confusion In Recorded Aircraft Data, James Douglas Thomas, Yul Kwon, Steven J. Landry

The Summer Undergraduate Research Fellowship (SURF) Symposium

In recent decades, commercial aviation accidents have occurred due to human-machine interaction (HMI) problems known as “mode confusion.” This is caused, in some cases, by a lack of understanding of onboard systems by pilots. Large amounts of Flight Operational Quality Assurance (FOQA) data are available, analysis of which could assist in identification of safety risks in daily operations. Through analysis of pilot reactions and recorded aircraft data, methods to detect mode confusion are developed to improve aviation safety. This study was conducted by inducing mode confusion into a flight simulation scenario and analyzing aircraft data to detect emerging patterns. Three …

Improving Product Design Phase For Engineer To Order (Eto) Product With Knowledge Base Engineering (Kbe), Hanhdung Thi Dinh

Open Access Theses

In industry currently Computer Aided Design (CAD) is an important tool for the modification, analysis, or optimization of the 3D virtual environment that replicates the physical product. CAD software is an efficient and reliable tool. However, as globalization increases customer demands, this process needs to be faster and more efficient to accommodate changing product design situations, especially for Engineer-to- Order (ETO) products. ^ The traditional method of product design process is to operate CAD software without argumentation. Design engineers create CAD prototypes and drawings based on available knowledge and information which comes from engineering experts, company standards, industrial practices as …

Conflict And Error Management: A Case In The Furniture Industry, Glenn Candranegara

Open Access Theses

The purpose of this study is to investigate and provide tools for the furniture industry, for detecting and preventing damage from propagating errors. Many of the errors cascading in a furniture manufacturing facility are typically detected only after the original process that causes the error had already caused errors. Previous research has developed and validated theoretical methods, such as CEPD, to prevent and detect errors and conflicts. This thesis is the first effort to implement the logic of CEPD in the furniture industry. There are four relevant measures that are analyzed and improved in this thesis; they are preventability, reliability, …

Algorithms For Bundling And Pricing Trucking Services: Deterministic And Stochastic Approaches, Rodrigo Mesa-Arango

Open Access Dissertations

Bundling and pricing trucking services is an important strategic decision for carriers. This is helpful when they consider the incorporation of new businesses to their networks, look for economic and optimal operations, and develop revenue management strategies. Reverse combinatorial auctions for trucking services are real-world examples that illustrate the necessity of such strategies. In these auctions, a shipper asks carriers for quotes to serve combinations of lanes and the carriers have to bundle demand and price it properly. This dissertation explores several dimensions of the problem employing state-of-the-art analytical tools. These dimensions include: Truckload (TL) and less-than-truckload (LTL) operations, behavioral …

Calculus For Decision Systems, Jorge Antonio Samayoa Ranero

Open Access Dissertations

The conceptualization of the term "system" has become highly dependent on the application domain. What a physicist means by the term system might be different than what a sociologist means by the same term. In 1956, Bertalanffy [1] defined a system as " a set of units with relationships among them". This and many other definitions of system share the idea of a system as a black box that has parts or elements interacting between each other. This means that at some level of abstraction all systems are similar, what eventually differentiates one system from another is the set of …

Designing A Sustainable And Transferable Inventory Management System For Small Healthcare Facilities, Shree Frazier

Open Access Theses

Managing the costs of supplies within healthcare facilities has been a task that has plagued the health industry for many years. Many facilities are accustomed to using a par system approach. This involves bringing an inventory item to an amount sufficient for daily operation. This method often requires daily inspection by a healthcare worker, which reduces his/her time spent performing value added tasks. Employees at small healthcare facilities have multiple responsibilities, therefore they cannot afford to spend much time on inventory management. A proposed approach is the Kanban method, which allows for strict monitoring of inventory items without the need …

A Dynamic Stochastic Model For Converging Inbound Air Traffic, Jun Chen

Open Access Theses

Weather accounts for the majority of congestion in the National Airspace System which highlights the importance of addressing weather uncertainty to mitigate delays, and this paper presents an effort in this direction. Firstly, a new dynamic stochastic 0-1 Integer Programming (IP) model is proposed, which models the Single Airport Ground Holding Problem (SAGHP) with respect to uncertainty in the separation between flights instead of Airport Acceptance Rate (AAR) or landing capacity. Uncertainty in separation according to different weather conditions is represented through the scenario tree by using stochastic linear programming. Considering time separation constraints instead of AAR constraints, our model …

Application Of Bayesian Networks In Consumer Service Industry, Yuan Gao

Open Access Theses

Gao, Yuan. M.S.I.E., Purdue University. December 2014. Application of Bayesian Networks in Consumer Service Industry. Major professor: Vincent G. Duffy The purpose of the present study is to explore the application of Bayesian networks in the consumer service industry to model causal relationships within complex risk factor structures using aggregate data. An analysis of the Hawaii tourism market was conducted to find out how visitor characteristics affect their behavior and experience as consumers during the trips, and influence the tourism market outcomes represented by measurable factors. Two hypotheses were proposed regarding the use of aggregate data and the influence of …