Overview
- Gathers together the work of world-leading experts on with probability models and their application to reliability
- Informs the response to recent events like computer malfunctions, natural disasters, COVID-19 and the war in Ukraine
- Teaches readers how to assess risks and take steps to minimize them
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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About this book
This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges. The tools have become only more important in the unforeseen emergencies such as the COVID-19 pandemic and the conflict in Ukraine.
This comprehensive book is an invaluable resource for graduate students seeking practical knowledge on probability and statistics in real-world applications. The book is divided into four parts: reliability, computer science, management science, and operations research. Each part includes surveys, recent results, and tools used. Moreover, it offers an essential reference point for researchers, engineers, and managers operating in laboratories, industries, businesses, and government agencies. Through the exchange of academic achievements, ideas, and discussions, this book serves as a catalyst for progress and innovation.
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Keywords
Table of contents (18 chapters)
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Front Matter
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Management Science
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Front Matter
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Operations Research
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Front Matter
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Reliability
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Front Matter
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Reviews
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Editors and Affiliations
About the editors
Syouji Nakamura (Former Professor of Kinjo Gakuin University)
He received B.S.E. from Nagoya City University and Doctor of Economics degree from Nagoya City University. He is Former Professor of Kinjo Gakuin University in Nagoya. He has published 5 books and 35 journal papers. His research interests are Modeling and Analysis of Stochastic Process.
Katsushige Sawaki (Former Professor of Aoyama Gakuin University)
He received Ph.D. from University of British Columbia and Doctor of Engineering from Kyoto University. He has published 10 books and 105 journal papers. His research interests are Mathematical Finance, Financial Engineering, Decision Sciences, Modeling and Analysis of Supply Chains and Inventory CONTROL, and Revenue Management in Airlines .
Toshio Nakagawa (Honorable Professor of Aichi Institute of Technology)
He received B.S.E. and M.S. degrees from Nagoya institute of Technology and Doctor of Engineering degree from Kyoto University, He is now Honorable Professor at Aichi Institute of Technology in Toyota City. He has published 9 books from Springer, 20 books chapters, and 200 journal papers. His research interests are for stochastic and computer systems in reliability and maintenance theory.
Bibliographic Information
Book Title: Probability and Statistical Models in Operations Research, Computer and Management Sciences
Book Subtitle: Including Applications to Reliability Models
Editors: Syouji Nakamura, Katsushige Sawaki, Toshio Nakagawa
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-031-64597-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-64596-9Published: 26 September 2024
Softcover ISBN: 978-3-031-64599-0Due: 10 October 2025
eBook ISBN: 978-3-031-64597-6Published: 25 September 2024
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: X, 371
Number of Illustrations: 58 b/w illustrations, 60 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Operations Research/Decision Theory, Statistics for Business, Management, Economics, Finance, Insurance, Operations Research, Management Science, Industrial and Production Engineering, Production