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Record Nr. |
UNINA9910458595403321 |
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Autore |
Altiok Tayfur |
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Titolo |
Simulation modeling and analysis with Arena [[electronic resource] /] / Tayfur Altiok, Benjamin Melamed |
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Pubbl/distr/stampa |
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Amsterdam ; ; Boston, : Academic Press, c2007 |
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ISBN |
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1-281-11898-2 |
9786611118983 |
0-08-054895-4 |
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Descrizione fisica |
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1 recurso en línea (462 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Monte Carlo method |
Digital computer simulation |
Industrial management - Computer simulation |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Simulation Modeling and Analysis with Arena; Copyright Page; Contents; Preface; Acknowledgments; Chapter 1: Introduction to Simulation Modeling; 1.1 Systems and Models; 1.2 Analytical Versus Simulation Modeling; 1.3 Simulation Modeling and Analysis; 1.4 Simulation Worldviews; 1.5 Model Building; 1.6 Simulation Costs and Risks; 1.7 Example: A Production Control Problem; 1.8 Project Report; Exercises; Chapter 2: Discrete Event Simulation; 2.1 Elements of Discrete Event Simulation; 2.2 Examples of DES Models; 2.2.1 Single Machine; 2.2.2 Single Machine with Failures |
2.2.3 Single Machine with an Inspection Station and Associated Inventory2.3 Monte Carlo Sampling and Histories; 2.3.1 Example: Work Station Subject to Failures and Inventory Control; 2.4 DES Languages; Exercises; Chapter 3: Elements of Probability and Statistics; 3.1 Elementary Probability Theory; 3.1.1 Probability Spaces; 3.1.2 Conditional Probabilities; 3.1.3 Dependence and Independence; 3.2 Random Variables; 3.3 Distribution Functions; 3.3.1 Probability Mass Functions; 3.3.2 Cumulative Distribution Functions; 3.3.3 Probability |
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Density Functions; 3.3.4 Joint Distributions; 3.4 Expectations |
3.5 Moments3.6 Correlations; 3.7 Common Discrete Distributions; 3.7.1 Generic Discrete Distribution; 3.7.2 Bernoulli Distribution; 3.7.3 Binomial Distribution; 3.7.4 Geometric Distribution; 3.7.5 Poisson Distribution; 3.8 Common Continuous Distributions; 3.8.1 Uniform Distribution; 3.8.2 Step Distribution; 3.8.3 Triangular Distribution; 3.8.4 Exponential Distribution; 3.8.5 Normal Distribution; 3.8.6 Lognormal Distribution; 3.8.7 Gamma Distribution; 3.8.8 Student's t Distribution; 3.8.9 F Distribution; 3.8.10 Beta Distribution; 3.8.11 Weibull Distribution; 3.9 Stochastic Processes |
3.9.1 Iid Processes3.9.2 Poisson Processes; 3.9.3 Regenerative (Renewal) Processes; 3.9.4 Markov Processes; 3.10 Estimation; 3.11 Hypothesis Testing; Exercises; Chapter 4: Random Number and Variate Generation; 4.1 Variate and Process Generation; 4.2 Variate Generation Using the Inverse Transform Method; 4.2.1 Generation of Uniform Variates; 4.2.2 Generation of Exponential Variates; 4.2.3 Generation of Discrete Variates; 4.2.4 Generation of Step Variates from Histograms; 4.3 Process Generation; 4.3.1 Iid Process Generation; 4.3.2 Non-Iid Process Generation; Exercises; Chapter 5: Arena Basics |
5.1 Arena Home Screen5.1.1 Menu Bar; 5.1.2 Project Bar; 5.1.3 Standard Toolbar; 5.1.4 Draw and View Bars; 5.1.5 Animate and Animate Transfer Bars; 5.1.6 Run Interaction Bar; 5.1.7 Integration Bar; 5.1.8 Debug Bar; 5.2 Example: A Simple Workstation; 5.3 Arena Data Storage Objects; 5.3.1 Variables; 5.3.2 Expressions; 5.3.3 Attributes; 5.4 Arena Output Statistics Collection; 5.4.1 Statistics Collection via the Statistic Module; 5.4.2 Statistics Collection via the Record Module; 5.5 Arena Simulation and Output Reports; 5.6 Example: Two Processes in Series; 5.7 Example: A Hospital Emergency Room |
5.7.1 Problem Statement |
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Sommario/riassunto |
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Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment.? It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, sta |
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2. |
Record Nr. |
UNINA9910784076303321 |
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Titolo |
E-learning for business [[electronic resource] ] : an Emerald guide |
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Pubbl/distr/stampa |
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Bradford, England, : Emerald Group Publishing, c2005 |
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Bradford, England : , : Emerald Group Publishing, , 2005 |
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ISBN |
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1-280-70632-5 |
9786610706327 |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Business education - Computer-assisted instruction |
Internet in education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Cover; Introduction; An informal history of eLearning; Developing design principles for an e-learning programme for SME managers to support accelerated learning; Employees and e-learning: what do the end-users think?; Strategizing for workplace e-learning: some critical considerations; The future of eLearning; The nine myths of e-learning implementation: ensuring the real return on your e-learning investment. |
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Sommario/riassunto |
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The unique features of the Web, such as hypertext and hypermedia, the large number of websites with good quality information sources, current developments in electronic commerce, and the developments in digital publishing, work together to provide a fascinating environment wherein diverse teaching and learning experiences can be developed. In a marketplace where skills shortages are widely recognized to be a major problem facing many companies, the promise of lower cost, flexible training packages built around Internet and PC-based applications holds very real appeal. Can it, though, be that simple? The proliferation of e-learning organizations might lead one to that conclusion but the reality is, that in order to deliver e-learning in a credible and value-adding form, there needs to be a substantial infrastructure of people and resources supporting the learning process. There is undoubtedly a place for e-learning as part of modern |
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corporate training provision. ''E-learning for business'' offers six perspectives on how you might make best use of it in your organization. |
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