Operations Research, Systems Engineering and Industrial Engineering Commons^™

What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set of acquisition …

Ranking Of Project Risks Based On The Pmbok Standard By Fuzzy Dematel, S.M. Ali Khatami Firouzabadi, Amin Vafadar Nikjoo

Amin Vafadarnikjoo

In project risk management, there is a need to rank project risks, because there are many complexities in nowadays projects and prioritizing these risks can help to achieve more effective and efficient projects. In this research, on the basis of the Risk Breakdown Structure (RBS) of the Project Management Body of Knowledge (PMBOK Guide) fourth edition, it is tried to prioritize the different kinds of project risks. Many questionnaires are filled out by varied project experts in different Iranian project-based firms, to acquire the knowledge and experience of them in project risk management field. Then, fuzzy set theory was applied …

Michael Johnson Research Profile, Michael P. Johnson Jr.

Michael P. Johnson

This document summarizes my disciplinary training and my research products.

Institutional Support For Computing Faculty Research Productivity: Does Gender Matter?, Monica M. Mcgill, Amber Settle

Amber Settle

Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas

George J. Pappas

We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …

Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas

George J. Pappas

We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …

Adaptive Algorithms For Coverage Control And Space Partitioning In Mobile Robotic Networks, Jerome Le Ny, George J. Pappas

George J. Pappas

We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends on the spatial distribution of certain probabilistic events of interest. Three classes of problems are discussed in detail: coverage control problems, spatial partitioning problems, and dynamic vehicle routing problems. Moreover, we assume that the event distribution is a priori unknown, and can only be progressively inferred from the observation of the location of the actual event occurrences. For each problem we present distributed stochastic gradient algorithms that optimize the performance objective. The stochastic …

Integrated Methods For Optimization, 2nd Ed, John Hooker

John Hooker

No abstract provided.

A Hybrid Tabu Search And Constraint Programming Algorithm For The Dynamic Dial-A-Ride Problem, Gerardo Berbeglia

Gerardo Berbeglia

No abstract provided.

Toward Unification Of Exact And Heuristic Optimization Methods, John Hooker

John Hooker

No abstract provided.

Evaluating The Impact Of Ehr On Clinical Reasoning Performance: A Ttf Perspective, Matthew Wills, Omar El-Gayar, Amit Deokar

Amit Deokar

The proliferation of Electronic Health Records (EHR) as a backbone for healthcare delivery necessitates adequate tools for evaluating and improving the efficacy of such investments particularly as it relates to clinical reasoning performance. However, a thorough review of the literature indicates lack of a tested, validated instrument for evaluating and predicting the impact of EHR use on clinical reasoning performance. Despite successful application to a variety of other industries, TTF has not been adequately adapted to healthcare, EHR technology or the clinical reasoning task. Accordingly, the objectives of this research are to: 1) produce a valid instrument with diagnostic and …