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742 full-text articles. Page 1 of 25.

What Is Community Operational Research?, Gerald Midgley, Michael P. Johnson Jr., George Chichirau 2017 University of Hull

What Is Community Operational Research?, Gerald Midgley, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Community Operational Research (Community OR) has been an explicit sub-domain of OR for more than 30 years. In this paper, we tackle the controversial issue of how it can be differentiated from other forms of OR. While it has been persuasively argued that Community OR cannot be defined by its clients, practitioners or methods, we argue that the common concern of all Community OR practice is the meaningful engagement of communities, whatever form that may take – and the legitimacy of different forms of engagement may be open to debate. We then move on to discuss four other controversies that have ...


Instances For "The Restaurant Meal Delivery Problem: Dynamic Pick-Up And Delivery With Deadlines And Random Ready Times", Marlin Ulmer, Barrett W. Thomas, Ann M. Campbell, Nicholas Woyak 2017 Technische Universitat Braunschweig

Instances For "The Restaurant Meal Delivery Problem: Dynamic Pick-Up And Delivery With Deadlines And Random Ready Times", Marlin Ulmer, Barrett W. Thomas, Ann M. Campbell, Nicholas Woyak

Tippie College of Business Publications

No abstract provided.


Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart 2017 Embry Riddle Aeronautical University

Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart

International Journal of Aviation, Aeronautics, and Aerospace

As military aircraft continue to remain in service and age, cannibalization of parts is increasing. Proactive identification of parts that are at high risk for cannibalization will inform engineering processes such as reverse engineering, thus allowing potentially reducing lead time to develop new parts. The research objective was to develop a causal structure that can be used for prediction of when cannibalization actions may occur. Bayesian networks allow encoding of causality between various descriptive features given a data set. The method utilized a tabu search algorithm, identified the underlying causal structure and the associated node probabilities. The method is then ...


Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia MacAllister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson 2017 Iowa State University

Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia Macallister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson

Anastacia MacAllister

No abstract provided.


The Challenges Of Building Intelligent Tutoring Systems For Teams, Desmond Bonner, Stephen B. Gilbert, Michael C. Dorneich, Eliot Winer, Anne M. Sinatra, Anna Slavina, Anastacia MacAllister, Joseph Holub 2017 Iowa State University

The Challenges Of Building Intelligent Tutoring Systems For Teams, Desmond Bonner, Stephen B. Gilbert, Michael C. Dorneich, Eliot Winer, Anne M. Sinatra, Anna Slavina, Anastacia Macallister, Joseph Holub

Anastacia MacAllister

Intelligent Tutoring Systems have been useful for individual instruction and training, but have not been widely created for teams, despite the widespread use of team training and learning in groups. This paper reviews two projects that developed team tutors: the Team Multiple Errands Task (TMET) and the Recon Task developed using the Generalized Intelligent Framework for Tutoring (GIFT). Specifically, this paper 1) analyzes why team tasks have significantly more complexity than an individual task, 2) describes the two team-based platforms for team research, and 3) explores the complexities of team tutor authoring. Results include a recommended process for authoring a ...


Fusing Self-Reported And Sensor Data From Mixed-Reality Training, Trevor Richardson, Stephen B. Gilbert, Joseph Holub, Frederick Thompson, Anastacia MacAllister, Rafael Radkowski, Eliot Winer 2017 Iowa State University

Fusing Self-Reported And Sensor Data From Mixed-Reality Training, Trevor Richardson, Stephen B. Gilbert, Joseph Holub, Frederick Thompson, Anastacia Macallister, Rafael Radkowski, Eliot Winer

Anastacia MacAllister

Military and industrial use of smaller, more accurate sensors are allowing increasing amounts of data to be acquired at diminishing costs during training. Traditional human subject testing often collects qualitative data from participants through self-reported questionnaires. This qualitative information is valuable but often incomplete to assess training outcomes. Quantitative information such as motion tracking data, communication frequency, and heart rate can offer the missing pieces in training outcome assessment. The successful fusion and analysis of qualitative and quantitative information sources is necessary for collaborative, mixed-reality, and augmented-reality training to reach its full potential. The challenge is determining a reliable framework ...


Cognitive Aircraft Hazard Advisory Systems And Methods, Donald C. Kauffman, Michael C. Dorneich 2017 Iowa State University

Cognitive Aircraft Hazard Advisory Systems And Methods, Donald C. Kauffman, Michael C. Dorneich

Michael C. Dorneich

The present invention in its various aspects is as set out in the appended claims. The present invention provides integrated surveillance systems and methods for processing multiple sensor inputs and determining a best route for avoiding multiple hazards. An example method performed on a first aircraft includes generating a plurality of routes for avoiding a previously determined alert from a first advisory system. Then, probability of success information is generated at other advisory systems for each of the plurality of routes. The best route of the plurality of routes is determined based on the generated probabilities and output to the ...


Adaptive User Interface For Semi-Automatic Operation Of A Remote-Controlled, Unmanned Vehicle, Michael C. Dorneich, Stephen Whitlow, William Rogers, Karen Feigh, Robert De Mers 2017 Iowa State University

Adaptive User Interface For Semi-Automatic Operation Of A Remote-Controlled, Unmanned Vehicle, Michael C. Dorneich, Stephen Whitlow, William Rogers, Karen Feigh, Robert De Mers

Michael C. Dorneich

The present invention provides a method as defined in claim 1. The method may include the features of any one or more of dependent claims 2 to 4.

The present invention provides a device as defined in claim 5. The device may include the features of any one or more of dependent claims 6 to 9.

A method is provided for semi-automatic operation of a portable control device for a remote-controlled unmanned vehicle. The method includes the steps of monitoring parameters of an operational environment of the portable control device, switching from a manual operation mode to a semi-automatic operation ...


A Systems-Based Framework For Design And Analysis Of An R And D Structure, Polinpapilinho F. Katina, Charles B. Keating, Luna M. Magpili 2017 Old Dominion University

A Systems-Based Framework For Design And Analysis Of An R And D Structure, Polinpapilinho F. Katina, Charles B. Keating, Luna M. Magpili

Engineering Management & Systems Engineering Faculty Publications

A critical challenge for managerial effectiveness and competitive advantage in research and development (R and D) organizations is developing an appropriate structural configuration. However, in finding an appropriate structural configuration, R and D managers are faced with unprecedented levels of uncertainty, ambiguity, and accelerating complexity, coupled with demands for increased productivity. This paper develops a systems-based framework to support rigorous design, analysis, and transformation of the structure for R and D organizations. The framework development includes: (1) a review of the literature for the nature and role of the structure in R and D management; (2) setting of the R ...


Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. 2017 University of Massachusetts - Boston

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. Recent research, inspired by local responses to the housing foreclosure crisis, and developed in cooperation with Boston-area CDCs, has resulted in a collection of applications that can assist CDCs and similar organizations to design local interventions for acquisition and redevelopment of housing. This paper describes these applications. The first of these is values and objective design, i.e. the process of identifying decision opportunities. The second of these is data analytics, or the ...


Personalized Decision Modeling For Intervention And Prevention Of Cancers, Fan Wang 2017 University of Arkansas, Fayetteville

Personalized Decision Modeling For Intervention And Prevention Of Cancers, Fan Wang

Theses and Dissertations

Personalized medicine has been utilized in all stages of cancer care in recent years, including the prevention, diagnosis, treatment and follow-up. Since prevention and early intervention are particularly crucial in reducing cancer mortalities, personalizing the corresponding strategies and decisions so as to provide the most appropriate or optimal medical services for different patients can greatly improve the current cancer control practices. This dissertation research performs an in-depth exploration of personalized decision modeling of cancer intervention and prevention problems. We investigate the patient-specific screening and vaccination strategies for breast cancer and the cancers related to human papillomavirus (HPV), representatively. Three popular ...


Models And Methodologies To Address Emerging Needs In Network And Supply Chain Optimization, Forough Enayaty Ahangar 2017 University of Arkansas, Fayetteville

Models And Methodologies To Address Emerging Needs In Network And Supply Chain Optimization, Forough Enayaty Ahangar

Theses and Dissertations

In this dissertation, we model three different security scenarios and propose solution methodologies to address each problem.

Chapter 2 presents a large-scale optimization approach for solving a dynamic bi-level network interdiction problem (NIP) in which interdiction activities must be scheduled in order to minimize the cumulative maximum flow over a finite time horizon. A logic-based decomposition (LBD) approach is proposed that utilizes constraint programming to exploit the scheduling nature of this dynamic NIP. Chapter 3 considers a set of centers to which content (e.g., data or smuggled items), are assigned to ensure availability. An interdictor (e.g., border security ...


Is It We Or They? The Effect Of Identity On Collaboration And Performance In Buyer-Supplier Relationships, Siqi Ma 2017 University of Arkansas, Fayetteville

Is It We Or They? The Effect Of Identity On Collaboration And Performance In Buyer-Supplier Relationships, Siqi Ma

Theses and Dissertations

In today’s scale-driven and technology-intensive global economy, collaboration becomes the supply chain’s core capability (Liker and Choi, 2004). A well-developed ability to create and sustain fruitful collaborations gives companies a significant competitive advantage (Kanter, 1994). Retailers are increasingly relying on their suppliers to reduce costs, improve quality, and develop new processes and products faster than their rivals’ vendors can. On the other hand, suppliers benefit from retailers that they are able to monitor store-level demand in real time in order to ensure the top-selling items are in-stock or the accuracy and timeliness of retailer’s demand forecast. Previous ...


Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau 2017 University of Massachusetts Boston

Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau

Michael P. Johnson

Community operational research (Community OR), and its disciplinary relation, community-based operations research, has an increasingly high profile within multiple domains that benefit from empirical and analytic approaches to problem solving. These domains are primarily concentrated within nonprofit services and local development. However, there are many other disciplinary and application areas for which novel applications and extensions of COR could generate valuable insights. This paper identifies a number of these, distinguishing between ‘emerging trends’ (mostly in well-studied areas of operations research, management science and analytics) and ‘new frontiers’, which can be found in traditions not commonly oriented towards empirical and analytic ...


Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward 2017 Iowa State University

Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward

Michael C. Dorneich

Increasing demands on the world’s resources require the design of off-highway machines that provide greater functionality and productivity along with greater efficiency. Model-based or virtual design provides a means for achieving these design improvements with reduced time and costs. However, virtual design is often limited by the fidelity with which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance agricultural and construction machine automation technology. This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic ...


Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia MacAllister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson 2017 Iowa State University

Analyzing Team Training Data: Aspirations For A Gift Data Analytics Engine, Stephen B. Gilbert, Anne M. Sinatra, Anastacia Macallister, Adam Kohl, Eliot Winer, Michael C. Dorneich, Anna Slavina, Desmond Bonner, Kaitlyn M. Ouverson

Michael C. Dorneich

No abstract provided.


Space-Time Transportation System Modelling: From Traveler’S Characteristics To The Network Design Problem, Mohsen Parsafard 2017 University of South Florida

Space-Time Transportation System Modelling: From Traveler’S Characteristics To The Network Design Problem, Mohsen Parsafard

Graduate Theses and Dissertations

Traditional network design problems only consider the long-term stationary travel patterns (e.g., fixed OD demand) and short-term variations of human mobility are ignored. This study aims to integrate human mobility characteristics and travel patterns into network design problems using a space-time network structure. Emerging technologies such as location-based social network platforms provide a unique opportunity for understanding human mobility patterns that can lead to advanced modeling techniques. To reach our goal, at first multimodal network design problems are investigated by considering safety and flow interactions between different modes of transport. We develop a network reconstruction method to expand a ...


Assessing Multiple Participant View Positioning In Virtual Reality-Based Training, Jonathan W. Kelly, Eliot Winer, Stephen B. Gilbert, Michael Curtis, Eduardo Rubio, Ken Kopecky, Joseph Scott Holub, Julio de la Cruz 2017 Iowa State University

Assessing Multiple Participant View Positioning In Virtual Reality-Based Training, Jonathan W. Kelly, Eliot Winer, Stephen B. Gilbert, Michael Curtis, Eduardo Rubio, Ken Kopecky, Joseph Scott Holub, Julio De La Cruz

Jonathan W. Kelly

As cost, time, and other challenging resource requirements are placed on U.S. Joint forces training, the role of simulations will play an even greater role than it does today. To effectively aid a Warfighter in gaining critical skills and to assess the proficiency of those skills, computer-based training must advance beyond traditional desktop simulations and monoscopic projection technology. Virtual Reality (VR) based training has been proven in fields such as medical and engineering to increase a trainee’s level of immersion, and increase training performance in several metrics including accuracy and efficiency, while simultaneously decreasing cost. Warfighter training offers ...


Evaluating Distributed Teams With The Team Multiple Errands Test, Jamiahus Walton, Stephen B. Gilbert, Eliot Winer, Michael C. Dorneich, Desmond Bonner 2017 Iowa State University

Evaluating Distributed Teams With The Team Multiple Errands Test, Jamiahus Walton, Stephen B. Gilbert, Eliot Winer, Michael C. Dorneich, Desmond Bonner

Michael C. Dorneich

Modern day teams, whether in the military or civilian workplace, have the ability to achieve goals that are otherwise unobtainable by individuals. The timing and characteristics of feedback that teams receive during training are critical. Though there is a solid foundation of research on optimal feedback, there is limited exploration of what constitutes ideal team feedback including addressing the individual team member versus the whole team and whether that feedback is public (visible to the entire team) or private (visible only to one member of the team). Previous research that studied the effect of feedback on team performance has yielded ...


Brake Specific Fuel Consumption (Bsfc) In Gasoline Powered Cars, Michael Carlson, Dr. Cecilia J. Vogel 2017 Augustana College, Rock Island Illinois

Brake Specific Fuel Consumption (Bsfc) In Gasoline Powered Cars, Michael Carlson, Dr. Cecilia J. Vogel

Celebration of Learning

The goal of this experiment was to determine which driving behaviors result in the highest fuel efficiency for a given trip. We collected data for speed (MPH), engine speed (RPM), engine power (Torque/LOD), and fuel consumption (MPG) using the ScanGauge II.


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