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Probability and Statistical Models in Operations Research, Computer and Management Sciences [electronic resource] : Including Applications to Reliability Models / edited by Syouji Nakamura, Katsushige Sawaki, Toshio Nakagawa

Published
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition
1st ed. 2024.
Physical Description
X, 371 p. 118 illus., 60 illus. in color. online resource
Additional Creators
Nakamura, Syouji, Sawaki, Katsushige, Nakagawa, Toshio, and SpringerLink (Online service)
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Series
Contents
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 Effectiveness in Keyboard Data Entry Operations with Large Access Overhead.- 16. Modified 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.
Summary
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.
Subject(s)
ISBN
9783031645976
Digital File Characteristics
text file PDF
Part Of
Springer Nature eBook
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