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Engineering and manufacturing industries

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Automated decision support systems for hurricane mitigation planning

Article Abstract:

The risks posed by hurricanes are significant and rising. Recent advances in computer technology have stimulated interest in the potential application of automated decision support systems to hurricane mitigation planning. This article discusses why computer technology should be used in hurricane mitigation planning. Reviews of the several different, though often interrelated, lines of advance in automated decision support systems and hurricane risk assessment modeling are presented. Recent research on organizational concerns that should be accounted for in the design of such systems is also reviewed. Guidelines are then provided showing how future research might be directed to effectively design and implement decision support systems. (Reprinted by permission of the publisher.)

Author: Berke, Philip, Stubbs, Norris
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1989
Methods, Natural disasters, Automation, Hurricanes, Decision support systems, Meteorology, Modeling, Data modeling software, Disaster planning, Decision Support Software, Disaster Management, Risk Analysis

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On Monte Carlo simulations of dynamic systems

Article Abstract:

The Monte Carlo method provides both design and research engineers with a useful tool for evaluating the effect of input uncertainty on system performance. This paper addresses the basics and the utility of the Monte Carlo approach. Two practical applications of the method help to demonstrate why Monte Carlo simulation is becoming a contemporary trend in system analysis. (Reprinted by permission of the publisher.)

Author: Bouton, Peter M., Ma, Fai
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1990
Technology, Noise (Sound), Performance Measurement, Dynamic Systems, Failure Prediction, Monte Carlo Methods, Noise, Theoretical Approach

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Subjects list: Simulation, technical
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