Introduction to Discrete Event Simulation and Agent-based Modeling

Voting Systems, Health Care, Military, and Manufacturing

Nonfiction, Science & Nature, Mathematics, Statistics, Technology, Computers
Cover of the book Introduction to Discrete Event Simulation and Agent-based Modeling by Theodore T. Allen, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Theodore T. Allen ISBN: 9780857291394
Publisher: Springer London Publication: January 12, 2011
Imprint: Springer Language: English
Author: Theodore T. Allen
ISBN: 9780857291394
Publisher: Springer London
Publication: January 12, 2011
Imprint: Springer
Language: English

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

More books from Springer London

Cover of the book Systems Thinkers by Theodore T. Allen
Cover of the book Hypermobility of Joints by Theodore T. Allen
Cover of the book Data Mining Techniques in Sensor Networks by Theodore T. Allen
Cover of the book Requirements Engineering by Theodore T. Allen
Cover of the book Applications of Multi-Criteria and Game Theory Approaches by Theodore T. Allen
Cover of the book Clinical Echocardiography by Theodore T. Allen
Cover of the book Image and Video-Based Artistic Stylisation by Theodore T. Allen
Cover of the book MRI for Radiographers by Theodore T. Allen
Cover of the book Medical Imaging in Clinical Trials by Theodore T. Allen
Cover of the book Index Analysis by Theodore T. Allen
Cover of the book Magnetic Fusion Technology by Theodore T. Allen
Cover of the book Management of Diabetic Foot Complications by Theodore T. Allen
Cover of the book Rheumatic Diseases and the Heart by Theodore T. Allen
Cover of the book Electrical Diseases of the Heart by Theodore T. Allen
Cover of the book Essential Dynamic HTML fast by Theodore T. Allen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy