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Proceedings ArticleDOI

A hybrid approach to manufacturing enterprise simulation

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TLDR
In this article, the authors focus on production decisions, where discrete-event simulation models perform that evaluation, and propose integrating these discrete event models with system dynamic models and show the potential benefits of such an integration using an example of semiconductor enterprise.
Abstract
Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions, engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. We focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.

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Simulation in manufacturing and business: A review

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Simulation for manufacturing system design and operation: Literature review and analysis

TL;DR: A comprehensive review of discrete event simulation publications published between 2002 and 2013 with a particular focus on applications in manufacturing is provided in this paper, where the literature is classified into three general classes of manufacturing system design, manufacturing system operation, and simulation language/package development.

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Design classes for hybrid simulations involving agent-based and system dynamics models

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References
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Period Three Implies Chaos

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