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Simulation Modeling and Analysis

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.

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Agent-Based Modeling and Simulation

TL;DR: This article gives an introduction to agent-based modeling and simulation (ABMS), focusing on its generative and bottom-up nature, its advantages as well as its pitfalls, and selected tools and well-known applications.
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Reliability Modeling and Simulation in Power Systems With Aging Characteristics

TL;DR: In this paper, the authors describe how aging characteristics of components may impact the calculation of commonly used reliability indices such as loss of load expectation (LOLE), and construct the system failure and repair history of components, sequential Monte Carlo simulation method using stochastic point process modeling is introduced.
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Metric and workload effects on computer systems evaluation

TL;DR: The problems the author describes appear more frequently during simulation because of its ability to directly reflect complex situations, even those the evaluator does not know about or understand.
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A data-integrated simulation model to evaluate nurse–patient assignments

TL;DR: This research develops a novel data-integrated simulation to evaluate nurse–patient assignments (SIMNA) based on a real data set provided by a northeast Texas hospital using tree-based models and kernel density estimation to extract important knowledge from the data for the simulation.
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Role of life-cycle externalities in the valuation of protic ionic liquids – a case study in biomass pretreatment solvents

TL;DR: In this article, the authors couple the concept of monetization with detailed process simulation and life-cycle assessment to estimate the true cost of ionic liquids, and show that the total monetized cost of production accounting for externalities can be more than double the direct costs estimated using conventional economic assessment methods.