000			02258 a2200289 4500
008			2015
020			_a1259254364
040			_aGAMADERO _bspa _cGAMADERO
041			_aeng
050	0	0	_aQA76.9 C65 K94 2015
100			_aW. DAVID KELTON
245			_aSIMULATION WITH ARENA /
250			_a6TA
260			_bMc GRAW- HILL _aNEW YORK _c2015
300			_a635 _bILUSTRACION _c18.5 X 23.5 CM
504			_aAuthor : W. David Kelton, Randall P Sadowski and Nancy B. Zupick Edition: 6th Availability 10-14 Days
505			_a1. What Is Simulation? 2. Fundamental Simulation Concepts 3. A Guided Tour Through Arena 4. Modeling Basic Operations and Inputs 5. Modeling Detailed Operations 6. Statistical Analysis of Output from Terminating Simulations 7. Intermediate Modeling and Steady-State Statistical Analysis 8. Entity Transfer 9. A Sampler of Further Modeling Issues and Techniques 10. Arena Integration and Customization 11. Continuous and Combined Discrete/Continuous Models 12. Further Statistical Issues 13. Conducting Simulation Studies Appendix A: A Functional Specification for The Washington Post Appendix B: A Refresher on Probability and Statistics Appendix C: Arena's Probability Distributions Appendix D: Academic Software Installation Instructions References Index
520			_aSimulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The academic version of Arena and example files are available through the book’s website.
526			_aIngeniería en Tecnologías de la Información y Comunicación
650		0	_aProgramación _9729
700			_aRANDALL P. SADOWSKI _9347
942			_cLIB _2ddc _e6TA _hQA76.9 C65 K94
945			_a1 _badmin _dCRON CRON _c
999			_c7057 _d7057