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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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Nonparametric estimation of the Cumulative intensity function for a nonhomogeneous Poisson process
TL;DR: In this article, a nonparametric technique for estimating the cumulative intensity function of a nonhomogeneous Poisson process from one or more realizations is developed, which does not require any arbitrary parameters from the modeler and can be used to generate a point process for Monte Carlo simulation by inversion.
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Modeling and Evaluating Insurance Losses Via Mixtures of Erlang Distributions
TL;DR: In this paper, a modified expectation-maximization (EM) algorithm for parameter estimation tailored to this class of distributions is presented, and its computation efficiency is discussed, and goodness-of-fit tests are performed for data generated from some common parametric distributions and for catastrophic loss data in the United States.
Variance Reduction via Lattice Rules
TL;DR: In this paper, a review article on lattice methods for multiple integration over the unit hypercube, with a variance-reduction viewpoint, is presented, along with some new results and ideas.
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Comparative study of adaptability and flexibility in distributed manufacturing supply chains
Hing Kai Chan,Felix T.S. Chan +1 more
TL;DR: Simulation results indicate that introduction of flexibility and adaptability in delivery quantity and due date can improve the performance in a network of two-level multi-product MTO supply chains, however, there is a trade-off in selecting the coordination mechanism between adaptability and flexibility subject to capacity utilization.
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Design of flexible plant layouts
TL;DR: In this paper, the authors present an approach for the design of plant layouts in stochastic environments, where the, product mix and product demand are subject to variability and where duplicates of the same department type may exist in the same facility.