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 ArticleDOI
Inductive reasoning
TL;DR: It is learned that valid deductive thinking begins with at least one universal premise and leads to a conclusion that is believed to be contained in the argument’s premises.
Journal ArticleDOI
Robustness of Kriging when interpolating in random simulation with heterogeneous variances : some experiments
TL;DR: Numerical examples suggest that Ordinary Kriging is a robust interpolation method when the simulation output variances are not constant, and also applies Detrended Kriged to estimate a non-constant signal function and standardizes the residual noise through the heterogeneous variances estimated from replicated simulation runs.
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Methodology for Conducting Discrete-Event Simulation Studies in Construction Engineering and Management
TL;DR: In this article, the authors suggest the methodology to follow when conducting discrete-event simulation (DES) studies in construction engineering and management research, and the importance of properly understanding the probabilistic concepts upon which DES relies and coupling this understanding with engineering judgment as a key for successful use of DES in construction research.
Proceedings ArticleDOI
Agent-based modeling and simulation: ABMS examples
Charles M. Macal,Michael North +1 more
TL;DR: This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing agent models, and illustrates the development of a simple agent-based model.
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Design and simulation of demand information sharing in a supply chain
Cheng Zhang,Chenghong Zhang +1 more
TL;DR: A simulation approach to quantify firms’ business operations and performances in a multi-tier supply chain to understand one practical business problem, i.e., how to evaluate the business model and its trade-off of implementing demand information sharing strategy.