Nakamura / Sawaki / Nakagawa Probability and Statistical Models in Operations Research, Computer and Management Sciences

Including Applications to Reliability Models
1. Auflage 2024
ISBN: 978-3-031-64597-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 371 Seiten, eBook

Reihe: Springer Series in Reliability Engineering

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.

Zielgruppe

Research

Autoren/Hrsg.

Nakamura, Syouji

Sawaki, Katsushige

Nakagawa, Toshio

Inhaltsverzeichnis

1. A Game of the Newsvendor Problem between a Retailer and Customers under the Space-time Hotelling Model.- 2. An Optimal Policy for Lockdown Periods in a Pandemic Based on the Stochastic SIR Model with Time Delay.- 3. The Valuation of a Risk Project with Continuity and Withdrawal Decisions for Catastrophic Events Forecasted.- 4. An Analytical Model of the Value of Mergers and Acquisitions Employing Profit Flows with Synergies.- 5. Implementation and Management of Surgical Schedule and Work Schedule Creation System.- 6. Workers Assignment Optimization in Restricted-Cycle Model with Multiple Periods.- 7. Social Simulations using Multi-agent Systems.- 8. A Nonhomogeneous Poisson Process Approach to the Optimal Selection From a Sequence of Relatively Best Objects.- 9. Analysis of Functional Equations in M/G/1 Queueing-System.- 10. STAR: An Innovative Data-Driven Solution for Software Quality Assurance.- 11. Reliability Modeling for Quality-Oriented Software Management.– 12. Reliability Analysis of Communication Systems with Code Error Correction Methods.– 13. A Location Problem in Sensor Systems Considering System Reliability.- 14. A Study on Generalized Ordering Policy.- 15. Checkpointing Methods and Their E?ectiveness in Keyboard Data Entry Operations with Large Access Overhead.– 16. Modi?ed and Extended Inspection Models.- 17. On A Calculation Method And Stochastic Bounds Of The Birnbaum Importance Measure Of A Component.- 18. Reliability Structures of General Redundant Systems.

Über Autor(innen)

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.