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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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The performance of push and pull systems: a simulation and comparative study
TL;DR: In this paper, the effects of variability of operator performance and unequal distribution of task times on the performance of push and pull systems are investigated and the implication of the simulation results are reported and openings for future research are identified.
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Using multi-agent architecture in FMS for dynamic scheduling
TL;DR: This work explains how the scheduling strategy is shared out between agents, how each agent performs a local dynamic scheduling by selecting an adequate dispatching rule, and how agents can coordinate their actions to perform a global dynamic scheduling of the manufacturing system.
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Mutation and extinction: the role of variable mutational effects, synergistic epistasis, beneficial mutations, and degree of outcrossing.
Stewart T. Schultz,Michael Lynch +1 more
TL;DR: The results support the hypothesis that a long‐term effective population size in the neighborhood of a few hundred individuals defines an approximate threshold, below which outcrossing populations are vulnerable to extinction via fixation of deleterious mutations, and above which immunity is acquired.
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Assessing solution quality in stochastic programs
Güzin Bayraksan,David P. Morton +1 more
TL;DR: In this paper, Monte Carlo sampling-based procedures for assessing solution quality in stochastic programs are developed. But the quality is defined via the optimality gap and the procedures' output is a confidence interval on this gap.
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Modeling fire interval data from the American southwest with the Weibull distribution
TL;DR: In this paper, the Weibull distribution is tested as a possible model for fire interval data derived from dendrochronologically-dated fire scars from four sites in the American Southwest.