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Strategic Level Proton Therapy Patient Admission Planning: A Markov Decision Process Modeling Approach, Shengfan Zhang, Ridvan Gedik, Chase Rainwater 2017 University of Arkansas, Fayetteville

Strategic Level Proton Therapy Patient Admission Planning: A Markov Decision Process Modeling Approach, Shengfan Zhang, Ridvan Gedik, Chase Rainwater

Mechanical and Industrial Engineering Faculty Publications

A relatively new consideration in proton therapy planning is the requirement that the mix of patients treated from different categories satisfy desired mix percentages. Deviations from these percentages and their impacts on operational capabilities are of particular interest to healthcare planners. In this study, we investigate intelligent ways of admitting patients to a proton therapy facility that maximize the total expected number of treatment sessions (fractions) delivered to patients in a planning period with stochastic patient arrivals and penalize the deviation from the patient mix restrictions. We propose a Markov Decision Process (MDP) model that provides very useful insights in ...


An Active Learning Environment In An Integrated Industrial Engineering Curriculum, Frank Peters, John K. Jackman, Sarah M. Ryan, Sigurdur Olafsson 2017 Iowa State University

An Active Learning Environment In An Integrated Industrial Engineering Curriculum, Frank Peters, John K. Jackman, Sarah M. Ryan, Sigurdur Olafsson

Sarah M. Ryan

We are developing a new learning environment that supports a suite of interrelated modules based on real-world scenarios. The primary goals of the project are to integrate industrial engineering courses, improve students’ information technology skills, and enhance students’ problem solving skills. In particular, metacognitive abilities will be strengthened as students apply domain knowledge, data, methods and software tools while monitoring their own solution processes. This paper presents the design of two modules that have been developed.


Engineering Problem Solving In Industrial Engineering Curriculum Reform, Veronica J. Dark, Frank Peters, Sarah M. Ryan, John K. Jackman, Sigurdur Olafsson 2017 Iowa State University

Engineering Problem Solving In Industrial Engineering Curriculum Reform, Veronica J. Dark, Frank Peters, Sarah M. Ryan, John K. Jackman, Sigurdur Olafsson

Sarah M. Ryan

Problem solving is a major focus of the engineering profession, and upon graduation new engineers are faced with increasingly complex problems. Yet, existing engineering education practices often fall short in preparing students to tackle complex engineering problems that may be ambiguous, open-ended and ill-structured. In this paper, we describe a newly developed learning environment called the Engineering Learning Portal (ELP), which focuses on improving engineering problem solving throughout the industrial engineering curriculum. In the ELP, students are engaged in a structured process for solving unstructured problems while encouraging metacognitive activities, such as planning, monitoring, and evaluating. This helps students acquire ...


The Effect Of A Lower Extremity Kinematic Constraint On Lifting Biomechanics, Sangeun Jin, Gary A. Mirka 2017 Iowa State University

The Effect Of A Lower Extremity Kinematic Constraint On Lifting Biomechanics, Sangeun Jin, Gary A. Mirka

Gary A. Mirka

Leaning against a stationary barrier during manual materials handling tasks is observed in many industrial environments, but the effects of this kinematic constraint on low back mechanics are unknown. Thirteen participants performed two-handed lifting tasks using both a leaning posture and no leaning posture while trunk kinematics, muscle activity and ground reaction force were monitored. Results revealed that lifting with the leaning posture required significantly less activity in erector spinae (26% vs. 36% MVC) and latissimus dorsi (8% vs. 14% MVC), and less passive tissue moment compared with the no leaning posture. Peak sagittal accelerations were lower when leaning, but ...


Medial Longitudinal Arch Deformation During Walking And Stair Navigation While Carrying Loads, Elizabeth Rose Hageman, Michelle Hall, Eric Gerard Sterner, Gary A. Mirka 2017 Iowa State University

Medial Longitudinal Arch Deformation During Walking And Stair Navigation While Carrying Loads, Elizabeth Rose Hageman, Michelle Hall, Eric Gerard Sterner, Gary A. Mirka

Gary A. Mirka

Background:

Understanding the biomechanics of the medial longitudinal arch (MLA) may provide insights into injury risk and prevention, as well as function of the arch-supporting structures. Our understanding of MLA deformation is currently limited to sit-to-stand, walking, and running.

Material and Methods:

Three-dimensional deformation of the MLA of the right foot was characterized in 17 healthy participants during several simulated activities of daily living. MLA deformation was quantified by both changes in arch length and navicular displacement during the stance phase of three motions: walking, stair ascent, and stair descent. Three levels of load were also evaluated: no load, a ...


The Effect Of Sinusoidal Rolling Ground Motion On Lifting Biomechanics, Xiaopeng Ning, Gary A. Mirka 2017 Iowa State University

The Effect Of Sinusoidal Rolling Ground Motion On Lifting Biomechanics, Xiaopeng Ning, Gary A. Mirka

Gary A. Mirka

The objective of this study was to quantify the effects of ground surface motion on the biomechanical responses of a person performing a lifting task. A boat motion simulator (BMS) was built to provide a sinusoidal ground motion (simultaneous vertical linear translation and a roll angular displacement) that simulates the deck motion on a small fishing boat. Sixteen participants performed lifting, lowering and static holding tasks under conditions of two levels of mass (5 and 10 kg) and five ground moving conditions. Each ground moving condition was specified by its ground angular displacement and instantaneous vertical acceleration: A): +6°, −0 ...


Developing Sustainable Rice Production Through Image Classification, Parker R. Fitzgerald 2017 University of Arkansas, Fayetteville

Developing Sustainable Rice Production Through Image Classification, Parker R. Fitzgerald

Industrial Engineering Undergraduate Honors Theses

The agricultural industry’s continued success is critical to our future. However, many agricultural practices—specifically rice farming—are currently based on unsustainable methods. The processes used in rice farming consume water at an unsupportable rate, and, consequently, are serious contributors to rising emission levels. Several alternative growing methods have been introduced, and one of the most promising candidates is Alternative Wetting and Drying (AWD). An obstacle encountered by proponents of these methods comes in implementation. Studies have shown AWD is more successful in fields with higher leveling precision. The research in this study works to create a stepping stone ...


Exploring The Association Between Patient Waiting Time, No-Shows And Overbooking Strategy To Improve Efficiency In Health Care, Cam Tu M. Nguyen 2017 University of Arkansas, Fayetteville

Exploring The Association Between Patient Waiting Time, No-Shows And Overbooking Strategy To Improve Efficiency In Health Care, Cam Tu M. Nguyen

Industrial Engineering Undergraduate Honors Theses

Many primary care clinics are using overbooking as a strategy to mitigate the negative impacts on operations and performance caused by patient nonattendance of appointments, also known as “no-shows”. However, overbooking tends to increase patient waiting time and worker overtime. It is also acknowledged that patient waiting time is associated with no-show behavior, yet there is a lack of observational study to quantify the relationship. The overall goal of this research is to explore the relationships between patient waiting time, no-show behavior and overbooking strategy in terms of clinic performance. Arena® simulation software is used to create a discrete-event simulation ...


A Quantitative Model For Truck Parking Utilization With Hours Of Service Regulations, Alexis Christine Gaddy 2017 University of Arkansas, Fayetteville

A Quantitative Model For Truck Parking Utilization With Hours Of Service Regulations, Alexis Christine Gaddy

Industrial Engineering Undergraduate Honors Theses

Continual growth in traffic volume on U.S. Highways and insufficient parking for commercial trucking vehicles has led to significant safety concerns for truck drivers. Hours of Service (HOS) regulations dictate driving and rest periods of truck drivers. When a truck driver must stop as designated by the HOS regulations and the nearest parking location is at capacity, the trucker must either continue driving past the HOS limit or park in an undesignated and possibly illegal or unsafe spot such as an off-ramp. The combination of these two variables play an important role in the safety of truck drivers on ...


Opening Autonomous Airspace–A Prologue, Samuel M. Vance 2017 Oklahoma State University - Main Campus

Opening Autonomous Airspace–A Prologue, Samuel M. Vance

International Journal of Aviation, Aeronautics, and Aerospace

The proliferation of Unmanned Aerial Vehicles (UAV), and in particular small Unmanned Aerial Systems (sUAS), has significant operational implications for the Air Traffic Control (ATC) system of the future. Integrating unmanned aircraft safely presents long-standing challenges, especially during the lengthy transition period when unmanned vehicles will be mixed with piloted vehicles. Integration of dissimilar systems is not an easy, straight-forward task and in this case is complicated by the difficulty to truly know what is present in the airspace. Additionally, there are significant technology, security and liability issues that will need resolution to ensure property and life are protected and ...


Brain Lesions Among Orally Fed And Gastrostomy-Fed Dysphagic Preterm Infants: Can Routine Qualitative Or Volumetric Quantitative Magnetic Resonance Imaging Predict Feeding Outcomes?, Nasser H. Kashou, Irfaan Akram Dar, Mohamed A. El-Mahdy, Charles Pluto, Mark Smith, Ish K. Gulati, Warren Lo, Sudarshan R. Jadcherla 2017 Wright State University - Main Campus

Brain Lesions Among Orally Fed And Gastrostomy-Fed Dysphagic Preterm Infants: Can Routine Qualitative Or Volumetric Quantitative Magnetic Resonance Imaging Predict Feeding Outcomes?, Nasser H. Kashou, Irfaan Akram Dar, Mohamed A. El-Mahdy, Charles Pluto, Mark Smith, Ish K. Gulati, Warren Lo, Sudarshan R. Jadcherla

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Introduction: The usefulness of qualitative or quantitative volumetric magnetic resonance imaging (MRI) in early detection of brain structural changes and prediction of adverse outcomes in neonatal illnesses warrants further investigation. Our aim was to correlate certain brain injuries and the brain volume of feeding-related cortical and subcortical regions with feeding method at discharge among preterm dysphagic infants.

Materials and methods: Using a retrospective observational study design, we examined MRI data among 43 (22 male; born at 31.5 ± 0.8 week gestation) infants who went home on oral feeding or gastrostomy feeding (G-tube). MRI scans were segmented, and volumes of ...


Integrating Social Determinants Of Health Into Primary Care Clinical And Informational Workflow During Care Transitions, Sharon Hewner, Sabrina Casucci, Suzanne Sullivan, Francine Mistretta, Yuqing Xue, Barbara Johnson, Rebekah Pratt, Li Lin, Chet FOX 9843262 2017 SUNY Buffalo

Integrating Social Determinants Of Health Into Primary Care Clinical And Informational Workflow During Care Transitions, Sharon Hewner, Sabrina Casucci, Suzanne Sullivan, Francine Mistretta, Yuqing Xue, Barbara Johnson, Rebekah Pratt, Li Lin, Chet Fox 9843262

eGEMs (Generating Evidence & Methods to improve patient outcomes)

Context: Care continuity during transitions between the hospital and home requires reliable communication between providers and settings and an understanding of social determinants that influence recovery.

Case Description: The coordinating transitions intervention uses real time alerts, delivered directly to the primary care practice for complex chronically ill patients discharged from an acute care setting, to facilitate nurse care coordinator led telephone outreach. The intervention incorporates claims-based risk stratification to prioritize patients for follow-up and an assessment of social determinants of health using the Patient-centered Assessment Method (PCAM). Results from transitional care are stored and transmitted to qualified healthcare providers across ...


Strategies For Reducing Preventable Hospital Readmissions On Medicare Patients, Andres Patricio Garcia-Arce 2017 University of South Florida

Strategies For Reducing Preventable Hospital Readmissions On Medicare Patients, Andres Patricio Garcia-Arce

Graduate Theses and Dissertations

The high expenditure of healthcare in the United States (U.S.) does not translate into better quality of care. Indeed, the U.S. healthcare system is recognized by its lack of efficiency and waste (which represents about 20% of the country’s healthcare expenses). Lack of coordination is one of the most referenced causes of waste in the U.S. healthcare system, and preventable hospital readmissions have been acknowledged to be evidence of poor coordination of care. In fiscal year 2013, the Centers for Medicare and Medicaid Services (CMS) established financial penalties for inpatient care reimbursements in hospitals with excessive ...


Quality Research And Cultural Trends: Is There A Cultural Pattern That Favors Service Quality Research?, Raymond Cheng, Chung-tong Wong 2017 Selected Works

Quality Research And Cultural Trends: Is There A Cultural Pattern That Favors Service Quality Research?, Raymond Cheng, Chung-Tong Wong

Raymond Cheng

Based on the key characteristics, contributions, research themes and references of 147 quality and Kano-related research papers published in between 1984 and 2012, Witell, Lofgren and Dahlgaard (2013) summarized and described the time periods for quality-related researches into three noticeable phases of development, namely, Emergence (1984-1999), Exploration (20002008), and Explosion (2009-2012).  Such a finding aligns logically with the world cultural values taken from the InglehartWelzel cultural map from 1981 to 2015 during which various regions of the world, in general, were all moving away from survival values and have become more self-expressive as the world economy transformed itself from industrial ...


Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen 2017 Iowa State University

Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen

Industrial and Manufacturing Systems Engineering Publications

This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes ...


Detecting Poisoning Attacks On Hierarchical Malware Classification Systems, Dan P. Guralnik, Bill Moran, Ali Pezeshki, Omur Arslan 2017 University of Pennsylvania

Detecting Poisoning Attacks On Hierarchical Malware Classification Systems, Dan P. Guralnik, Bill Moran, Ali Pezeshki, Omur Arslan

Departmental Papers (ESE)

Anti-virus software based on unsupervised hierarchical clustering (HC) of malware samples has been shown to be vulnerable to poisoning attacks. In this kind of attack, a malicious player degrades anti-virus performance by submitting to the database samples specifically designed to collapse the classification hierarchy utilized by the anti-virus (and constructed through HC) or otherwise deform it in a way that would render it useless. Though each poisoning attack needs to be tailored to the particular HC scheme deployed, existing research seems to indicate that no particular HC method by itself is immune. We present results on applying a new notion ...


Optimal Bidding Strategy For A Strategic Power Producer Using Mixed Integer Programming, Sayed Abdullah Sadat 2017 University of South Florida

Optimal Bidding Strategy For A Strategic Power Producer Using Mixed Integer Programming, Sayed Abdullah Sadat

Graduate Theses and Dissertations

The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer’s bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool’s operation and guessing the rival producer’s bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties. First, the ...


Lean Energy Analysis: Identifying, Discovering And Tracking Energy Savings Potential, J. Kelly Kissock, John Seryak 2017 University of Dayton

Lean Energy Analysis: Identifying, Discovering And Tracking Energy Savings Potential, J. Kelly Kissock, John Seryak

J. Kelly Kissock

Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology, called lean energy analysis, LEA, for graphically and statistically analyzing plant energy use in terms of these major end uses.

The LEA methodology uses as few as 60 easily obtainable data points. Multivariable change-point models of electricity and natural gas use as functions of outdoor air temperature and production data are developed. The statistical models are used to subdivide plant energy use into facility, space-conditioning and production-related components.

These breakdowns suggest the savings potential from ...


Improving Compressed Air Energy Efficiency In Automotive Plants: Practical Examples And Implementation, Nasr Alkadi, J. Kelly Kissock 2017 Oak Ridge National Laboratory

Improving Compressed Air Energy Efficiency In Automotive Plants: Practical Examples And Implementation, Nasr Alkadi, J. Kelly Kissock

J. Kelly Kissock

The automotive industry is the largest industry in the United States in terms of the dollar value of production [1]. U.S. automakers face tremendous pressure from foreign competitors, which have an increasing manufacturing presence in this country. The Big Three North American Original Equipment Manufacturers (OEMs)-General Motors, Ford, and Chrysler-are reacting to declining sales figures and economic strain by working more efficiently and seeking out opportunities to reduce production costs without negatively affecting the production volume or the quality of the product. Successful, cost-effective investment and implementation of the energy efficiency technologies and practices meet the challenge of ...


Measuring Plant-Wide Energy Savings, J. Kelly Kissock, Carl Eger 2017 University of Dayton

Measuring Plant-Wide Energy Savings, J. Kelly Kissock, Carl Eger

J. Kelly Kissock

This paper presents a general method for measuring plant-wide industrial energy savings and demonstrates the method using a case study from an actual industrial energy assessment. The method uses regression models to characterize baseline energy use. It takes into account changes in weather and production, and can use sub-metered data or whole plant utility billing data. In addition to calculating overall savings, the method is also able to disaggregate savings into components, which provides additional insight into the effectiveness of the individual savings measures. Although the method incorporates search techniques and multi-variable least-squares regression, it is easily implemented using data ...


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