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Improving The Player's Recruiting Process By Using Scenario Based Analysis Methodology, Dotan I. Shvorin, Kevin M. Taaffe 2017 Clemson University

Improving The Player's Recruiting Process By Using Scenario Based Analysis Methodology, Dotan I. Shvorin, Kevin M. Taaffe

Dotan Shvorin

High performance physical characteristics can be found today in most of the potential recruitsfor any athletic program and it has become increasingly dificult to select the right candidatebased solely on these characteristics. As a result there is a growing need for a recruiter to evaluatethe decision-making capability of a player in order to understand the mind of the player inaddition to the player physical assessment. We employ scenario-based analysis to evaluate suchdecision-making capabilities while enabling any recruiting to customize the potential candidateevaluation, based on the specific program's needs. The proposed method provides a platformfor decision making evaluation within a ...


Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy GUNAWAN, Hoong Chuin LAU, Pieter VANSTEENWEGEN 2016 Singapore Management University

Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen

Research Collection School Of Information Systems

The Orienteering Problem (OP) has received a lot of attention in the past few decades. The OP is a routing problem in which the goal is to determine a subset of nodes to visit, and in which order, so that the total collected score is maximized and a given time budget is not exceeded. A number of typical variants has been studied, such as the Team OP, the (Team) OP with Time Windows and the Time Dependent OP. Recently, a number of new variants of the OP was introduced, such as the Stochastic OP, the Generalized OP, the Arc OP ...


Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong YANG, Cayirli TUGBA, Mei Wan LOW 2016 Singapore Management University

Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, combining computer simulation to generate the data and an advanced non-linear regression technique called the Alternating Conditional Expectation (ACE) to construct a set of easy-to-use equations to predict the performance of queues with a scheduled start and end time. Our results show that the equations can accurately predict the queue performance as a function of the number of servers, mean arrival load, session length and service time variability ...


An Artificial Immune Algorithm For Ergonomic Product Classification Using Anthropometric Measurements, Madjid Tavana, Mohammad Reza Kazemi, Amin Vafadarnikjoo, Mohammadsadegh Mobin 2016 La Salle University

An Artificial Immune Algorithm For Ergonomic Product Classification Using Anthropometric Measurements, Madjid Tavana, Mohammad Reza Kazemi, Amin Vafadarnikjoo, Mohammadsadegh Mobin

Amin Vafadarnikjoo

Product classification using anthropometric measurements leads to ergonomic product design and user satisfaction. We propose an effective artificial immune algorithm (AIA) to classify ergonomic products with multi-criteria anthropometric measurements and tune the AIA parameters with a full factorial experimental design approach. We demonstrate the applicability and efficacy of the proposed algorithm by considering the anthropometric measurements of the hand, developing an ergonomic computer mouse, and classifying consumers into three categories. The resulting classifications are compared with expert opinions to facilitate the conformity of the computer mouse to user requirements. 


Mindfulness-Based Safety: Increasing Attention To Task In Alberta’S Oil And Gas Drilling And Completions Operations, Darrah E.M. Wolfe 2016 University of Pennsylvania

Mindfulness-Based Safety: Increasing Attention To Task In Alberta’S Oil And Gas Drilling And Completions Operations, Darrah E.M. Wolfe

Master of Applied Positive Psychology (MAPP) Capstone Projects

With studies demonstrating mind-wandering to be associated with failure to perform monitoring procedural steps, a deficiency in being able to call information to mind, more false alarms, and a reduction in task performance, we cannot afford to continue to overlook the potential impact mind-wandering has on human behavior in high-risk environments within the Alberta oil and gas industry. This paper gives consideration to mindfulness-based interventions, a domain of positive psychology, for reducing the occurrence of mind-wandering and improving attention to a task. It is from a foundation of research explored in the literature reviews of mind-wandering and mindfulness, that I ...


Space Analysis And Research Centers (Sparcs) For Ssa Data And Analytics, Phillip Cunio, Brien Flewelling 2016 ExoAnalytic Solutions, Inc.

Space Analysis And Research Centers (Sparcs) For Ssa Data And Analytics, Phillip Cunio, Brien Flewelling

Space Traffic Management Conference

Widespread use of massive data and increasing reliance on spaceborne infrastructure are two of the emerging megatrends of the early 21st century. However, both come with liabilities: movement and processing of large data volumes is very expensive, and reliance on spaceborne infrastructure adds risk that problems in the still incompletely-understood space domain might cause work disruptions.

ExoAnalytic proposes the use of Space Analysis and Research Centers (SpARCs) as a way to begin addressing both these issues. A SpARC is a facility which integrates volumes of data collected on satellites, centrally analyzes it, and makes available resulting useful information. The ...


Projecting Air Traffic Impact Of Blocked Airspaces, Amal Srivastava, Neil Gahart 2016 MITRE Corporation

Projecting Air Traffic Impact Of Blocked Airspaces, Amal Srivastava, Neil Gahart

Space Traffic Management Conference

FAA frequently blocks strategically located airspaces to ensure operational safety in the vicinity of hazardous operations such as space launches and military exercises. As demand for access to airspace continues to rise, the need for, and the impact of blocked airspaces is likely to grow. Users such as space operators have no advanced insights into potential NAS impact of airspaces blocked due to their operations, nor do they possess ways to minimize it. This paper presents a model that would give users this insight. The model estimates levels of air traffic likely to intersect arbitrary airspace volumes on a daily ...


Examining Time To Evacuate Dynamically Activated Aircraft Hazard Areas, Zheng Tao, Granghuai Wang, Ashley G. Williams, Jon L. Semanek, Jonathan L. Schwartz 2016 The MITRE Corporation

Examining Time To Evacuate Dynamically Activated Aircraft Hazard Areas, Zheng Tao, Granghuai Wang, Ashley G. Williams, Jon L. Semanek, Jonathan L. Schwartz

Space Traffic Management Conference

The growth in launch and reentry operations in the National Airspace System (NAS) presents the Federal Aviation Administration (FAA) with the challenge of integrating them more efficiently while also minimizing effects on other NAS users and maintaining safety. Currently, to maintain safety and account for unforeseen events such as vehicle breakup, the FAA segregates large amounts of airspace, called Aircraft Hazard Areas (AHAs), from traditional NAS users during launch and reentry operations. In order to minimize effects on NAS users, some AHAs during reentry are dynamically activated only if an unexpected event occurs. If a dynamic AHA is activated, then ...


Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin 2016 University of Texas at Arlington

Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin

Michael P. Johnson

•INFORMS members (and non-members) volunteer to work with charitable organizations
•Charitable organizations (non-profits) request analytics help
•Pro Bono Analytics committee assists non-profits with formulation & scoping 
•Volunteers provide service free (except expenses)
•Win-Win:
- Clients get helpful analytics
- Volunteers get experience and do something charitable


Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr. 2016 University of Massachusetts - Boston

Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr.

Michael P. Johnson

Pro Bono Analytics is an INFORMS program that matches volunteers with nonprofit organizations working in underserved areas and for underserved populations. The nonprofits tend to be small and without the resources to utilize traditional operations research and advanced analytical methods. This talk will focus on how to communicate the value of OR/analytics to nonprofits, and perhaps more importantly, what we have learned about applying OR/analytical methods to problems that truly matter to our nonprofit clients.


Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani 2016 University of Massachusetts - Boston

Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

Main Street organizations develop local development initiatives that support economic and social goals. We describe an application of value-focused thinking and community-based operations research to identify economic development performance metrics and decision alternatives for local development interventions. Using interviews with stakeholders in three Boston communities, we show how values structures vary across communities and stakeholder groups and how attributes can be quantified using a variety of data sources. We conclude by presenting a composite values structure to support improved operations management and strategy design for all Boston Main Street districts.


An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau 2016 University of Massachusetts Boston

An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Diversity and inclusion have been widely studied and debated, most often within the social sciences. What contributions can operations research, management science and analytics make to this domain of inquiry? This talk will critically examine assumptions and practices within the decision sciences that may support as well impede diversity- and inclusion-related research, and propose a research agenda that can challenge yet enrich our profession.


Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr. 2016 University of Massachusetts - Boston

Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations engaged in foreclosure response wish to quantify the relative value of housing units for redevelopment. We measure the 'strategic value' of property acquisition candidates based on proximity to site-specific neighborhood amenities and disamenities, given the relative importance of that proximity to CDC organizational and community objectives. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the organization.


Perceptions Of The Advanced Manufacturing Competency Model, Mark Doggett, Muhammad Jahan 2016 Western Kentucky University

Perceptions Of The Advanced Manufacturing Competency Model, Mark Doggett, Muhammad Jahan

Mark Doggett

The Advanced Manufacturing Competency Model (AMCM) model emphasizes building of
competencies at all levels ranging from the shop floor production worker to manufacturing
engineers. It consists of different levels of competencies organized hierarchically. The levels
are personal effectiveness, academic, workplace, industry-wide technical, industry-sector
technical, management and organization-specific competencies.

This paper discusses survey research on the perceptions of manufacturing students, faculty,
and industry advisory board members regarding the AMCM. The research evaluated the
manufacturing program based on perceptions of the AMCM competencies and the curricular
coverage required for entry-level manufacturing professionals. Specifically, the survey
sought to answer the following research questions ...


Designing Fixed-Base Operations Utilizing Systems Engineering Principles, Ross L. Stephenson Jr., David A. Carroll 2016 Embry-Riddle Aeronautical University Worldwide

Designing Fixed-Base Operations Utilizing Systems Engineering Principles, Ross L. Stephenson Jr., David A. Carroll

Journal of Aviation Technology and Engineering

There are currently over 3,200 fixed-base operations (FBOs) conducting business in the United States attempting to meet the demands of FAA Part 91, Part 135, and a limited number of Part 121 operations. With the US economy slowly climbing out of the trough during 2013, the utilization of fixed-base operations has become more attractive and economical to the corporate business and the affluent recreational traveler. Despite the increased flight activities utilizing the services of fixed-base operators, keen competition, rising fuel cost, and the economies of scale recognized by large FBO franchises significantly erode the profitability and sustainability of smaller ...


James M. Resume.Doc, Jim Maskil 2016 University of Akron

James M. Resume.Doc, Jim Maskil

Jim Maskil

No abstract provided.


The Smart Airport App, Transit.Io: The Travel Optimizer, Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, Alyssa Williams 2016 Purdue University

The Smart Airport App, Transit.Io: The Travel Optimizer, Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, Alyssa Williams

Purdue Journal of Service-Learning and International Engagement

Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, and Alyssa Williams were all seniors in industrial engineering in the spring semester of 2016. They were members of Team 3 in the course titled Human Factors and Work Analysis (IE 486). This course explores the application of engineering, computer sciences, information sciences, and psychological principles and methods to the analysis and design of human work systems. In this article, the students describe their development of an application prototype to improve the airport travel experience.


Fatigue Analysis Of The Welded Region In The Automotive Torsion Beam Rear Suspension System, Nan Zhan, Xiaochuan Zhang 2016 China FAW Corporation Limited Tianjin R&D Center

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.


Multi-Agent Distributed Optimization Via Inexact Consensus Admm, Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang 2016 National Taiwan University of Science and Technology

Multi-Agent Distributed Optimization Via Inexact Consensus Admm, Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang

Mingyi Hong

Multi-agent distributed consensus optimization problems arise in many signal processing applications. Recently, the alternating direction method of multipliers (ADMM) has been used for solving this family of problems. ADMM based distributed optimization method is shown to have faster convergence rate compared with classic methods based on consensus subgradient, but can be computationally expensive, especially for problems with complicated structures or large dimensions. In this paper, we propose lowcomplexity algorithms that can reduce the overall computational cost of consensus ADMM by an order of magnitude for certain large-scale problems. Central to the proposed algorithms is the use of an inexact step ...


Visualizing Complex Adaptive Systems: A Case Study Of The Missouri Maternal, Infant, And Early Childhood Home Visiting Program, Julie M. Kapp, Sara Schlemper, Riyad Haq, Sofia Campos Vidal Pires, Eduardo J. Simoes 2016 University of Missouri School of Medicine

Visualizing Complex Adaptive Systems: A Case Study Of The Missouri Maternal, Infant, And Early Childhood Home Visiting Program, Julie M. Kapp, Sara Schlemper, Riyad Haq, Sofia Campos Vidal Pires, Eduardo J. Simoes

Frontiers in Public Health Services and Systems Research

Background: The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program was created by the 2010 Patient Protection and Affordable Care Act. MIECHV provides comprehensive services to at-risk families through evidence-based home visiting programs.

Purpose: The following question is addressed: Does the Missouri MIECHV system meet the definition of a complex adaptive system (CAS)?

Methods: A systematic review was conducted of documents related to MIECHV programs (federal, state, and local levels), and to affiliated programs with a home visiting and early childhood (aged birth to 5 years) scope. The organizations’ fit was identified for the scope of early childhood home ...


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