2017, ISBN: 9789332518759

Pearson Education, 2017. Softcover. New. 18 x 24 cm. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of model… More...

Pearson Education, 2017. Softcover. New. 18 x 24 cm. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks. Contents: I Introduction to Discrete-Event System Simulation Chapter 1 Introduction to Simulation Chapter 2 Simulation Examples Chapter 3 General Principles Chapter 4 Simulation Software II Mathematical and Statistical Models Chapter 5 Statistical Models in Simulation Chapter 6 Queueing Models III Random Numbers Chapter 7 Random-Number Generation Chapter 8 Random-Variate Generation IV Analysis of Simulation Data Chapter 9 Input Modeling Chapter 10 Verification and Validation of Simulation Models Chapter 11 Output Analysis for a Single Model Chapter 12 Comparison and Evaluation of Alternative System Designs V Applications Chapter 13 Simulation of Manufacturing and Material-Handling Systems Chapter 14 Simulation of Computer Networks Printed Pages: 564. NA, Pearson Education, 2017, 6<

2017, ISBN: 9789332518759

Pearson Education, 2017. Softcover. New. 18 x 24 cm. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of model… More...

Pearson Education, 2017. Softcover. New. 18 x 24 cm. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks. Contents: I Introduction to Discrete-Event System Simulation Chapter 1 Introduction to Simulation Chapter 2 Simulation Examples Chapter 3 General Principles Chapter 4 Simulation Software II Mathematical and Statistical Models Chapter 5 Statistical Models in Simulation Chapter 6 Queueing Models III Random Numbers Chapter 7 Random-Number Generation Chapter 8 Random-Variate Generation IV Analysis of Simulation Data Chapter 9 Input Modeling Chapter 10 Verification and Validation of Simulation Models Chapter 11 Output Analysis for a Single Model Chapter 12 Comparison and Evaluation of Alternative System Designs V Applications Chapter 13 Simulation of Manufacturing and Material-Handling Systems Chapter 14 Simulation of Computer Networks Printed Pages: 564., Pearson Education, 2017, 6<