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The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan 2019 Iowa State University

The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan

Sarah M. Ryan

We are developing a new system that supports a suite of interrelated computer 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 some of our results from a pilot study in a large engineering economic analysis course.


Closed-Loop Supply Chain Network Design Under Carbon Emission Regulations, Nan Gao, Sarah M. Ryan 2019 Iowa State University

Closed-Loop Supply Chain Network Design Under Carbon Emission Regulations, Nan Gao, Sarah M. Ryan

Sarah M. Ryan

This paper considers a closed–loop supply chain (CLSC) network design problem that accounts for the impact of carbon emission regulations. Three regulatory policy settings are considered; namely, (a) firms are subject to mandatory carbon caps on the amount of carbon they emit, (b) firms are taxed on the amount of emissions, and (c) firms can participate in a carbon cap and trade system. Traditional CLSC network design models are extended to account for the carbon emissions caused by transportation under different transportation modes. Model validations are demonstrated via a case study. Through detailed sensitivity analysis, we investigate how the ...


Optimal Solution To A Capacity Expansion Problem, Rahul R. Marathe, Sarah M. Ryan 2019 Iowa State University

Optimal Solution To A Capacity Expansion Problem, Rahul R. Marathe, Sarah M. Ryan

Sarah M. Ryan

For a service provider, stochastic demand growth along with expansion lead times and economies of scale may encourage delaying the start of expansion until after some shortages have been accumulated. Assuming demand follows a geometric Brownian motion, we define the service level in terms of the proportion of demand satisfied, which is then analytically evaluated using financial option pricing theory. Under a stationary expansion policy, an infinite time horizon discounted expansion cost is minimized under the service level constraint, where the expansion timing and size parameters are the decision variables. With the current formulation, the problem seems to be unbounded.


Capacity Expansion For Uncertain Demand With Initial Shortages, Rahul R. Marathe, Sarah M. Ryan 2019 Iowa State University

Capacity Expansion For Uncertain Demand With Initial Shortages, Rahul R. Marathe, Sarah M. Ryan

Sarah M. Ryan

For service providers, uncertain demand for capacity and expansion lead time may create unavoidable capacity shortages, which may be allowed to accumulate before initiating an expansion. For the demand following a geometric Brownian motion process, we assume a stationary expansion policy where the timing and size of expansion are determined as fixed proportions of the capacity position. We define the service level in terms of the capacity shortages, which can be evaluated by applying pricing formulae for barrier options in finance. We observe the relationship between the two policy parameters at different specified service levels and for other model parameters.


A New Analytical Evaluation Model For Kanban Controlled Systems With Fork/Join Synchronization Stations, Heedong Kim, Sarah M. Ryan 2019 Iowa State University

A New Analytical Evaluation Model For Kanban Controlled Systems With Fork/Join Synchronization Stations, Heedong Kim, Sarah M. Ryan

Sarah M. Ryan

A nonlinear programming model is developed for analyzing the queuing model of a kanban controlled system with fork/join synchronization stations. The model finds the minimum number of kanbans for a given throughput requirement or the maximum throughput for a given number of kanbans, where servers have different exponential service times. Furthermore, it aids understanding of kanban systems.


Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan 2019 Iowa State University

Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan

Sarah M. Ryan

Delayed product differentiation (DPD) increases manufacturers’ competitiveness by enabling faster responses to demand changes and has been shown to require less work in process (WIP) in base-stock systems. We model a system of two products using three CONWIP loops to represent the common processes and the differentiated processes for each product. DPD converts some differentiated processes to common ones. A nonlinear programming (NLP) model can determine kanban counts for each loop to achieve specified throughput bounds. Because these bounds are not tight, a heuristic algorithm starts from the NLP solution and adjusts the kanbans according to simulation. The results indicate ...


Comparison Of Efficient Methods For Solving A Large-Scale Multistage Stochastic Program, Yan Wang, Sarah M. Ryan 2019 Iowa State University

Comparison Of Efficient Methods For Solving A Large-Scale Multistage Stochastic Program, Yan Wang, Sarah M. Ryan

Sarah M. Ryan

We use a rolling two-stage procedure for solving a multistage stochastic program to assess the effects of uncertain fuel costs on optimal energy flows in the U.S. The optimal solution to the largest deterministic equivalent is obtained via Benders decomposition. We apply methods including temporal aggregation and scenario reduction to find approximate solutions which require less computational effort. These methods exploit both the network structure of the model and the multistage nature of forecast revision and uncertainty resolution. We evaluate the approximations based on similarity of the effects of uncertainty on the optimal flows compared to the exact solution.


Integrated Curriculum To Improve Engineering Problem Solving, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan 2019 Iowa State University

Integrated Curriculum To Improve Engineering Problem Solving, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan

Sarah M. Ryan

A series of modules based on realistic problems are being developed for our industrial engineering curriculum. These modules require students to use a variety of information technology skills to access, screen and analyze the data available to them. The modules are also designed to help students build relationships among the courses, which they traditionally treat as isolated bodies of knowledge. Students’ engineering problem solving will also be enhanced by the challenge presented by more realistic open-ended problems that are incorporated into the modules. This paper details the results of the latest module used in a Manufacturing Systems Engineering course.


Development Of A Myoelectric Detection Circuit Platform For Computer Interface Applications, Nickolas Andrew Butler 2019 California Polytechnic State University, San Luis Obispo

Development Of A Myoelectric Detection Circuit Platform For Computer Interface Applications, Nickolas Andrew Butler

Master's Theses and Project Reports

Personal computers and portable electronics continue to rapidly advance and integrate into our lives as tools that facilitate efficient communication and interaction with the outside world. Now with a multitude of different devices available, personal computers are accessible to a wider audience than ever before. To continue to expand and reach new users, novel user interface technologies have been developed, such as touch input and gyroscopic motion, in which enhanced control fidelity can be achieved. For users with limited-to-no use of their hands, or for those who seek additional means to intuitively use and command a computer, novel sensory systems ...


Analogies And Comparisons For Stm Data Bodies, Phillip M. Cunio, Brien Flewelling 2019 ExoAnalytic Solutions, Inc.

Analogies And Comparisons For Stm Data Bodies, Phillip M. Cunio, Brien Flewelling

Space Traffic Management Conference

Space Traffic Management (STM) has already demonstrated its potential to be extremely data-intensive. The large number of objects on orbit today, if observed constantly throughout their lifetimes, could produce a staggeringly large number of observations that might in turn generate large numbers of orbits. Orbit data with a lengthy time history can be used to produce estimates of maneuver frequency, susceptibility to natural forces such as drag, and (if combined with photometric data) assessments of behavioral patterns of life.

A future of mega-constellations and a growing number of nations and organizations with assets on orbit would make it likely that ...


A Statistical Approach For Commercial Space Vehicle Integration Into The National Airspace System, Christopher Hays, Daniel Chu, Pedro Llanos 2019 Embry-Riddle Aeronautical University

A Statistical Approach For Commercial Space Vehicle Integration Into The National Airspace System, Christopher Hays, Daniel Chu, Pedro Llanos

Space Traffic Management Conference

This paper explores commercial space vehicle (CSV) suborbital flight trajectories in the temporal and spatial domains for CSV integration into the National Airspace System. The research data was collected via the Suborbital Space Flight Simulator (SSFS) housed in the College of Aviation at Embry-Riddle Aeronautical University - Daytona Beach campus, and analyzed using an original MATLAB data analytics tool. This study primarily focuses on statistical trends observed in previously simulated flights supported by three Project PoSSUM (Polar Suborbital Science in the Upper Mesosphere) campaigns comprised of 34 flights and 19 control flights, and to identify relevant milestones in the CSV flight ...


Enhancing Suborbital Science Through Better Understanding Of Wind Effects, Pedro Llanos, Diane Howard 2019 Embry-Riddle Aeronautical University - Daytona Beach

Enhancing Suborbital Science Through Better Understanding Of Wind Effects, Pedro Llanos, Diane Howard

Space Traffic Management Conference

This paper highlights the importance of understanding some key factors, such as winds effects, trajectory and vehicle parameters variations in order to streamline the space vehicle operations and enhance science in the upper mesosphere at about 85 km. Understanding these effects is crucial to refine current space operations and establish more robust procedures. These procedures will involve training new space operators to conduct and coordinate space operations in class E above FL600 airspace within the Air Traffic Organization (ATO).

Space vehicles such as Space Ship Two can spend up to 6 minutes in class E airspace above FL600 after launch ...


Decision Science For Community Development And Social Change, Michael P. Johnson Jr. 2019 University of Massachusetts - Boston

Decision Science For Community Development And Social Change, Michael P. Johnson Jr.

Michael P. Johnson

Operations research, also known as management science or decision science, is a mathematics-based discipline that draws from engineering, information systems, management, public policy and planning. OR enables individuals and organizations to make better decisions regarding manufacturing and logistics, service provision and strategy design. My particular interest in OR focuses on the needs of mission-driven and resource-constrained organizations that serve urban communities. In my talk I will describe how OR can use qualitative and quantitative analysis through meaningful engagement of communities to enable creative identification, formulation and solution of complex problems for local impact and social justice. Specific applications I'm ...


Comparing Visual Assembly Aids For Augmented Reality Work Instructions, Anastacia MacAllister, Melynda Hoover, Stephen Gilbert, James Oliver, Rafael Radkowski, Timothy Garrett, Joseph Holub, Eliot Winer, Scott Terry, Paul Davies 2019 Iowa State University

Comparing Visual Assembly Aids For Augmented Reality Work Instructions, Anastacia Macallister, Melynda Hoover, Stephen Gilbert, James Oliver, Rafael Radkowski, Timothy Garrett, Joseph Holub, Eliot Winer, Scott Terry, Paul Davies

Anastacia MacAllister

Increased product complexity and the focus on zero defects, especially when manufacturing complex engineered products, means new tools are required for helping workers conduct challenging assembly tasks. Augmented reality (AR) has shown considerable promise in delivering work instructions over traditional methods. Many proof-of-concept systems have demonstrated the feasibility of AR but little work has been devoted to understanding how users perceive different AR work instruction interface elements. This paper presents a between-subjects study looking at how interface elements for object depth placement in a scene impact a user’s ability to quickly and accurately assemble a mock aircraft wing in ...


Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia MacAllister, Chloe McPherson, Julio de la Cruz 2019 Iowa State University

Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia Macallister, Chloe Mcpherson, Julio De La Cruz

Anastacia MacAllister

Warfighters perform a variety of civilian duties, such as construction. For example, in Iraq, from 2004-2011, the US Army carried out over 5,000 construction projects. Training warfighters on heavy construction equipment is a timeconsuming task that contrasts with shrinking military budgets. Simulation-based training offers improved training for fewer resources. Simulators can decrease time to task proficiency by up to 90%.

Identifying the pertinent features needed for a construction equipment trainer is challenging. For example, a critical skill is identifying different soil types. Lifting too much soil can damage equipment while not taking enough can cause significant delays. An experimental ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer 2019 Iowa State University

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Stephen B. Gilbert

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


Comparing Visual Assembly Aids For Augmented Reality Work Instructions, Anastacia MacAllister, Melynda Hoover, Stephen Gilbert, James Oliver, Rafael Radkowski, Timothy Garrett, Joseph Holub, Eliot Winer, Scott Terry, Paul Davies 2019 Iowa State University

Comparing Visual Assembly Aids For Augmented Reality Work Instructions, Anastacia Macallister, Melynda Hoover, Stephen Gilbert, James Oliver, Rafael Radkowski, Timothy Garrett, Joseph Holub, Eliot Winer, Scott Terry, Paul Davies

Stephen B. Gilbert

Increased product complexity and the focus on zero defects, especially when manufacturing complex engineered products, means new tools are required for helping workers conduct challenging assembly tasks. Augmented reality (AR) has shown considerable promise in delivering work instructions over traditional methods. Many proof-of-concept systems have demonstrated the feasibility of AR but little work has been devoted to understanding how users perceive different AR work instruction interface elements. This paper presents a between-subjects study looking at how interface elements for object depth placement in a scene impact a user’s ability to quickly and accurately assemble a mock aircraft wing in ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer 2019 Iowa State University

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Michael C. Dorneich

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera -- Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray 2019 Missouri University of Science and Technology

Composite Structures Using Asphalt Based Roofing Scrap Materials: Eiera -- Final Report, V. J. Flanigan, K. Chandrashekhara, Susan L. Murray

K. Chandrashekhara

The uses of recycled materials in composites provide the potential for large cost savings and a solution to the ever-growing disposal problem. Shingles contain petroleum based binders and fillers, which used as a valuable resource in composite production. Composites offer inherent advantages over traditional materials in regard to corrosion resistance, design flexibility and extended service life. Use of scrap-roofing shingles as a core material in glass fiber reinforced composite materials offer potential low cost composite products such as sound barrier system, railroad ties and other building materials including blocks. In the present work, processes have been developed for shredding scrap ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer 2019 Iowa State University

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Industrial and Manufacturing Systems Engineering Publications

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


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