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Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei 2018 Iowa State University

Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei

Sarah M. Ryan

Unit commitment seeks the most cost effective generator commitment schedule for an electric power system to meet net load, defined as the difference between the load and the output of renewable generation, while satisfying the operational constraints on transmission system and generation resources. Stochastic programming and robust optimization are the most widely studied approaches for unit commitment under net load uncertainty. We incorporate risk considerations in these approaches and investigate their comparative performance for a multi-bus power system in terms of economic efficiency as well as the risk associated with the commitment decisions. We explicitly account for risk, via Conditional ...


Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher 2018 Portland State University

Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher

Systems Science Faculty Publications and Presentations

This paper contains the description of a successful system dynamics (SD) modeling approach used for almost a quarter-century in secondary schools, both in algebra classes and in a year-long SD modeling course. Secondary school students have demonstrated an ability to build original models from the news, write technical papers explaining their models, and present a newfound understanding of dynamic feedback behavior to an audience. The educational learning theory and instructional methods used for both the algebra and modeling courses are detailed, with examples. Successful student SD modeling experiences suggest the SD approach can expand the sophistication of topics that secondary ...


A Dynamical System For Prioritizing And Coordinating Motivations, Paul Reverdy, Daniel E. Koditschek 2018 Electrical and Systems Engineering, University of Pennsylvania

A Dynamical System For Prioritizing And Coordinating Motivations, Paul Reverdy, Daniel E. Koditschek

Departmental Papers (ESE)

We develop a dynamical systems approach to prioritizing multiple tasks in the context of a mobile robot. We take navigation as our prototypical task, and use vector field planners derived from navigation functions to encode control policies that achieve each individual task. We associate a scalar quantity with each task, representing its current importance to the robot; this value evolves in time as the robot achieves tasks. In our framework, the robot uses as its control input a convex combination of the individual task vector fields. The weights of the convex combination evolve dynamically according to a decision model adapted ...


Clinical Alarms Management In The Intermediate Cardiology And Cardiovascular Intensive Care Units At The University Of Iowa Hospital And Clinics, Aubree Larson 2018 University of Iowa

Clinical Alarms Management In The Intermediate Cardiology And Cardiovascular Intensive Care Units At The University Of Iowa Hospital And Clinics, Aubree Larson

Honors Theses at the University of Iowa

The Intermediate Cardiology Unit (4RC) and the Cardiovascular Intensive Care Unit (CVICU) at the University of Iowa Hospital (UIHC) experience a significant amount of clinical alarms that they have to manage. The clinical alarms monitors have thirty-four different vital signs for patients in the two units, and an alarm will sound when a vital sign or rhythm starts to signal abnormalities. Some of the abnormalities are triggered by a valid clinical condition of the patient, also called an actionable alarm. Alarms that do not fall into the actionable alarm category, called non-actionable and false alarms, have led to alarm fatigue ...


Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe 2018 Iowa State University

Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe

Veterinary Diagnostic and Production Animal Medicine Conference Proceedings and Presentations

The second meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 3–4 October 2016 in Philadelphia, Pennsylvania, USA. ICASR is an interdisciplinary group whose aim is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. Having automated tools for systematic review should enable more transparent and timely review, maximizing the potential for identifying and translating research findings to practical application. The meeting brought together multiple stakeholder groups including users of summarized research, methodologists who explore production processes and systematic review quality, and technologists such as software developers ...


A Design Framework For Additive Manufacturing Through The Synergistic Use Of Axiomatic Design Theory And Triz, Sarath C. Renjith, Gül E. Okudan Kremer, Kijung Park 2018 Iowa State University

A Design Framework For Additive Manufacturing Through The Synergistic Use Of Axiomatic Design Theory And Triz, Sarath C. Renjith, Gül E. Okudan Kremer, Kijung Park

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Additive manufacturing has emerged as an integral part of modern manufacturing because of its unique capabilities for rapid prototyping and the design flexibility. In order to take full advantage of additive manufacturing, Design for Additive Manufacturing (DfAM) has risen to provide design frameworks, methodologies, and a set of guidelines for effective product designs under additive manufacturing. However, the existing DfAM methods have limitations in that most methods rely on either too general or too specific design requirements and parameters for additive manufacturing; an effective design framework that can consider the capabilities and constraints of additive manufacturing at an early design ...


Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer 2018 Iowa State University

Determination Of Bus Station Locations Under Emission And Social Cost Constraints, Atousa Zarindast, Elif Elçin Günay, Kijung Park, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This study proposes a two-stage stochastic programming model to determine an optimal set of bus stations that minimizes operational, environmental, and social costs under uncertain weather conditions and customer perceptions on sustainability. The first stage of the proposed model focuses on the derivation of a set of bus stations under uncertain demand and weather conditions. Then, the second stage determines an optimal vehicle capacity (i.e., bus size) to minimize the impact of vehicle shortages. In the proposed model, different customer perceptions on sustainability are conceptualized through a range of dissatisfaction levels. Weather conditions are considered as causing higher dissatisfaction ...


The Hurwicz Decision Rule’S Relationship To Decision Making With The Triangle And Beta Distributions And Exponential Utility, Sarat Sivaprasad, Cameron A. MacKenzie 2018 Iowa State University

The Hurwicz Decision Rule’S Relationship To Decision Making With The Triangle And Beta Distributions And Exponential Utility, Sarat Sivaprasad, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

Non-probabilistic approaches to decision making have been proposed for situations in which an individual does not have enough information to assess probabilities over an uncertainty. One non-probabilistic method is to use intervals in which an uncertainty has a minimum and maximum but nothing is assumed about the relative likelihood of any value within the interval. The Hurwicz decision rule in which a parameter trades off between pessimism and optimism generalizes the current rules for making decisions with intervals. This article analyzes the relationship between intervals based on the Hurwicz rule and traditional decision analysis using a few probability distributions and ...


Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan 2018 Wise Systems, Inc.

Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

We optimize the design of a closed-loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products. The model also accommodates a carbon tax with tax rate uncertainty. The proposed model is a three-stage hybrid robust/stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates. The first stage decisions are facility investments, the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns, and the numbers ...


Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon Lau, Steven S. Kryk, Cameron A. MacKenzie, Iris V. Rivero 2018 Iowa State University

Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon Lau, Steven S. Kryk, Cameron A. Mackenzie, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

What is Agile Kanban?

• Different from Kanban for JIT manufacturing!

• Visualization of workflow

• Limit work in process (WIP)


Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric Weflen, Kevin Korniejczuk, Sharon Lau, Steven Kryk, Cameron A. MacKenzie, Iris V. Rivero 2018 Iowa State University

Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric Weflen, Kevin Korniejczuk, Sharon Lau, Steven Kryk, Cameron A. Mackenzie, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

This paper presents an approach based on influence diagrams for reducing uncertainty in Agile Kanban backlog feature completion time. Agile project management techniques, including SCRUM and Kanban, are prevalent in software development and spreading to other product development fields. A key artifact of Agile is the product backlog, containing work which needs to be completed by the development team. Internal and external stakeholders often require projections for completion of backlogged requests or features. Current estimation techniques such as duration assignments through planning poker and the use of story points to calculate velocity require persistent team input, while task counting has ...


A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall 2018 Iowa State University and Yarmouk University

A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall

Industrial and Manufacturing Systems Engineering Publications

Since affordances provided by packaging features play a major role in facilitating user packaging interaction, it is important to integrate the concept of affordances into the packaging design process and to understand the interrelationships between packaging features and affordances. A framework is proposed for linking user requirements to packaging design features utilizing the concept of affordances. The framework is accomplished in two main steps; first, determine the affordances required to facilitate performing packaging-related tasks, and second, link these affordances to packaging features. Previous packaging usability studies were reviewed to elicit requirements in terms of affordance properties such as intuitiveness, responsiveness ...


Expansion Planning For Transmission Network Under Demand Uncertainty: A Real Options Framework, Fikri Fucuksayacigil, K. Jo Min 2018 Iowa State University

Expansion Planning For Transmission Network Under Demand Uncertainty: A Real Options Framework, Fikri Fucuksayacigil, K. Jo Min

Industrial and Manufacturing Systems Engineering Publications

In recent years, there has been much expectation that transmission expansion planning should address ever increasing demands for transmission services under significant and complex economic and regulatory uncertainties. In this article, toward meeting the aforementioned expectation, we develop and analyze a real options framework that provides the valuation of a transmission owner’s option to expand in his or her network. What distinguishes our framework from the extant literature is that the evolution of the demand follows a geometric Brownian motion process, it explicitly accounts for the physical flow of the electric power economically manifested as the locational marginal prices ...


Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer 2018 Iowa State University

Five Lenses On Team Tutor Challenges: A Multidisciplinary Approach, Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, Eliot Winer

Industrial and Manufacturing Systems Engineering Publications

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a ...


A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma 2018 Incheon National University

A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma

Industrial and Manufacturing Systems Engineering Publications

Although extant studies proposed various models and frameworks for sustainable supplier selection problems, they paid limited attention to the incorporation of regional economic, social, and environmental factors simultaneously for global supply chain design due to the difficulty in reflecting varies dimensions of the global business environment and their associated risk in a decision model. Existing supplier selection models also tend to focus on the formulation of a simplified supply chain structure rather than considering more realistic supply chain operations under multiple sourcing and product designs. To facilitate the complex decision-making process of global supplier selection problems, this study proposes an ...


Utilizing Multivariate Analysis For Assessing Student Learning Through Effective College-Industry Partnerships, Caleb Burns, Shweta Chopra, Mack C. Shelley II, Gretchen A. Mosher 2018 Danfoss

Utilizing Multivariate Analysis For Assessing Student Learning Through Effective College-Industry Partnerships, Caleb Burns, Shweta Chopra, Mack C. Shelley Ii, Gretchen A. Mosher

Political Science Publications

There is no doubt that college–industry collaborations are vital to the success of undergraduate students with engineering and technology majors. This collaboration provides students with an opportunity to bridge the gap between classroom education and real-world experience. Inviting industry representatives to engage in the classroom and involving students with professional organizations, student field trips, virtual plant tours, and industry-focused final projects are ways in which an instructor can incorporate student–industry engagement into their course. During their undergraduate degree program, students are required to participate in an internship program where they gain substantial industry engagement and opportunities to learn ...


Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad 2018 Missouri University of Science and Technology

Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad

Masters Theses

"Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse effects on overall personal health and may lead to a variety of health disorders. According to Data from the Center for disease control and prevention in the United States of America, there is a formidable increase in the number of people suffering from sleep disorders like insomnia, sleep apnea, hypersomnia and many more. Sleep disorders can be avoided by assessing an individual's activity over a period of time to determine the sleep pattern and duration. The sleep pattern and duration can ...


Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath 2018 Missouri University of Science and Technology

Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath

Masters Theses

"In this thesis, methods for evaluating the fetal state are compared to make predictions based on Cardiotocography (CTG) data. The first part of this research is the development of an algorithm to extract features from the CTG data. A feature extraction algorithm is presented that is capable of extracting most of the features in the SISPORTO software package as well as late and variable decelerations. The resulting features are used for classification based on both U.S. National Institutes of Health (NIH) categories and umbilical cord pH data. The first experiment uses the features to classify the results into three ...


Understanding The Impact Of Large-Scale Power Grid Architectures On Performance, Ange-Lionel Toba 2018 Old Dominion University

Understanding The Impact Of Large-Scale Power Grid Architectures On Performance, Ange-Lionel Toba

Engineering Management & Systems Engineering Theses & Dissertations

Grid balancing is a critical system requirement for the power grid in matching the supply to the demand. This balancing has historically been achieved by conventional power generators. However, the increasing level of renewable penetration has brought more variability and uncertainty to the grid (Ela, Diakov et al. 2013, Bessa, Moreira et al. 2014), which has considerable impacts and implications on power system reliability and efficiency, as well as costs. Energy planners have the task of designing infrastructure power systems to provide electricity to the population, wherever and whenever needed. Deciding of the right grid architecture is no easy task ...


Force-Canceling Mixer Algorithm For Vehicles With Fully-Articulated Radially-Symmetric Thruster Arrays, Joseph Nicholas Casabona 2018 University of Denver

Force-Canceling Mixer Algorithm For Vehicles With Fully-Articulated Radially-Symmetric Thruster Arrays, Joseph Nicholas Casabona

Electronic Theses and Dissertations

A new type of fully-holonomic aerial vehicle is identified and developed that can optionally utilize automatic cancellation of excessive thruster forces to maintain precise control despite little or no throttle authority. After defining the physical attributes of the new vehicle, a flight control mixer algorithm is defined and presented. This mixer is an input/output abstraction that grants a flight control system (or pilot) full authority of the vehicle's position and orientation by means of an input translation vector and input torque vector. The mixer is shown to be general with respect to the number of thrusters in the ...


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