Search Results - "Luxhoj, James T."
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1
A ConOps derived UAS safety risk model
Published in Journal of risk research (03-07-2021)“…The purpose of NASA's Unmanned Aircraft Systems (UAS) Integration in the National Airspace System project is to support the FAA with research that examines the…”
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2
Safety constraints applied to an adaptive Bayesian condition-based maintenance optimization model
Published in Reliability engineering & system safety (01-06-2012)“…A model is described that determines an optimal inspection and maintenance scheme for a deteriorating unit with a stochastic degradation process with…”
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System Safety Modeling of Alternative Geofencing Configurations for small UAS
Published in International journal of aviation, aeronautics, and aerospace (2016)“…As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant…”
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4
Predictive safety analytics: inferring aviation accident shaping factors and causation
Published in Journal of risk research (21-04-2015)“…This paper illustrates the development of an object-oriented Bayesian network (OOBN) to integrate the safety risks contributing to an in-flight loss-of-control…”
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5
A Scenario Generation Method with Heteroskedasticity and Moment Matching
Published in The Engineering economist (01-07-2011)“…We present a portfolio management framework composed of a new scenario generation algorithm and a stochastic programming (SP) model. The algorithm is built on…”
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A Collaborative Multi-criteria Decision Making Technique for Risk Factor Prioritization
Published in Journal of risk research (01-06-2007)“…Organizations are a collection of individuals, and often a disastrous organizational accident involves contributions from several technical/environmental…”
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A conceptual Object-Oriented Bayesian Network (OOBN) for modeling aircraft carrier-based UAS safety risk
Published in Journal of risk research (26-11-2015)“…This paper illustrates the conceptual development of a demonstration Object-Oriented Bayesian Network (OOBN) to integrate the hazards associated with an…”
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Applying a knowledge management modeling tool for manufacturing vision (MV) development
Published in Industrial management + data systems (01-12-2004)“…This paper introduces an empirical application of an experimental model for knowledge management within an organization, namely a case-based reasoning model…”
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A decision analytic approach for technology portfolio prioritization: aviation safety applications
Published in Journal of risk research (01-09-2009)“…A decision analytic approach for evaluating new aviation safety products and technologies is developed and demonstrated to consolidate five existing program…”
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APPLICATION OF CHANCE-CONSTRAINED PROGRAMMING TO CAPITAL RATIONING PROBLEMS WITH ASYMMETRICALLY DISTRIBUTED CASH FLOWS AND AVAILABLE BUDGET
Published in The Engineering economist (01-01-2003)“…Most applications of chance-constrained programming are based on either normally distributed random variables or random variables with symmetric distributions…”
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A situational maintenance model
Published in The International journal of quality & reliability management (01-06-1997)“…The role that effective maintenance management plays in contributing to overall organizational productivity has received increased attention. Presents the…”
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Critical success criteria for B2B E-commerce systems in Chinese medical supply chain
Published in International journal of logistics (03-03-2016)“…The paper presents an exploratory investigation to determine and prioritise the critical success criteria, which can measure and guide the successful…”
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13
Using neural networks to predict component inspection requirements for aging aircraft
Published in Computers & industrial engineering (1996)“…Currently under development by the Federal Aviation Administration (FAA), the Safety Performance Analysis System (SPAS) will contain indicators of aircraft…”
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14
An inductive reasoning approach for building system safety risk models of aviation accidents
Published in Journal of risk research (01-06-2010)“…An inductive reasoning approach is employed to develop a prototype hybrid decision support tool whose main objective is to build probabilistic causal models…”
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15
Comparison of proportional hazards models and neural networks for reliability estimation
Published in Journal of intelligent manufacturing (01-06-1997)“…Because of increased manufacturing competitiveness, new methods for reliability estimation are being developed. Intelligent manufacturing relies upon accurate…”
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A Methodology for the Location of Facility Ingress Egress Points
Published in International journal of operations & production management (01-05-1991)“…This article presents an integrated methodology for the inclusion of a facility′s interactions with the outside environment, and the impact of those…”
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Modeling low probability/high consequence events: an aviation safety risk model
Published in RAMS '06. Annual Reliability and Maintainability Symposium, 2006 (2006)“…In this paper, we present an overview of an aviation system risk model (ASRM) that assesses the impact of new technology insertions or products designed to…”
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Conference Proceeding -
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Sensitivity Analysis of Maintained Systems Using a Population Model: A Case Study
Published in The International journal of quality & reliability management (01-01-1991)“…A probabilistic methodology is discussed for the evaluation of maintenance requirements and expected costs for large-scale logistics systems. A multitude of…”
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Importance Measures for System Components in Population Models
Published in The International journal of quality & reliability management (01-02-1991)“…Population models have been developed for large-scale maintenance requirements planning. However, these models assume that all component groupings are equally…”
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A hybrid econometric—neural network modeling approach for sales forecasting
Published in International journal of production economics (01-06-1996)“…Business sales forecasting is an example of management decision making in an ill-structured, uncertain problem domain. Due to the dynamic complexities of both…”
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