Open AccessBook
Simulation Modeling and Analysis
Averill M. Law,W. David Kelton +1 more
TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.Abstract:
From the Publisher:
This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.read more
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Journal Article
Critical values for six Dixon tests for outliers in normal samples up to sizes 100, and applications in science and engineering
TL;DR: Simulation procedure along with new, precise, and accurate critical values or percentage points for six Dixon discordance tests are reported, envisioning that these new critical values will result in wider applications of the Dixon tests in a variety of scientifi c and engineering fi elds.
Journal ArticleDOI
Proactive monitoring and adaptive management of social carrying capacity in Arches National Park: an application of computer simulation modeling.
TL;DR: A series of simulations were conducted to estimate the effect of a mandatory shuttle bus system on daily social carrying capacity of Delicate Arch and to illustrate how computer simulation modeling can be used as a tool to facilitate adaptive management of social carryingcapacity.
Journal ArticleDOI
Conceptualizing and Measuring Variety in the Execution of Organizational Work Processes
TL;DR: Three measures of sequential variety in organizational processes are proposed and compared and compared using a simulated data set that embodies the range of variation likely to be encountered in empirical studies.
Noise, sampling, and efficient genetic algorthms
TL;DR: In this article, the effects of noise on the operation of a GA were investigated, and the question of how to best optimize the performance of GA in a noisy environment was investigated.
Journal ArticleDOI
A neural network based model for abnormal pattern recognition of control charts
Ruey-Shy Guh,Yi-Chih Hsieh +1 more
TL;DR: In this paper, an artificial neural network based model, which contains several back propagation networks, was proposed to both recognize the abnormal control chart patterns and estimate the parameters of abnormal patterns such as shift magnitude, trend slope, cycle amplitude and cycle length.