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



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Autore: Nakamura Syouji Visualizza persona
Titolo: Probability and Statistical Models in Operations Research, Computer and Management Sciences : Including Applications to Reliability Models / / edited by Syouji Nakamura, Katsushige Sawaki, Toshio Nakagawa Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (370 pages)
Disciplina: 519
Soggetto topico: Statistics
Operations research
Management science
Industrial engineering
Production engineering
Production management
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Operations Research and Decision Theory
Statistics in Business, Management, Economics, Finance, Insurance
Operations Research, Management Science
Industrial and Production Engineering
Production
Altri autori: SawakiKatsushige  
NakagawaToshio  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Probability and Statistical Models in Operations Research, Computer and Management Sciences  Visualizza cluster
ISBN: 3-031-64597-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910890189303321
Lo trovi qui: Univ. Federico II
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Serie: Springer Series in Reliability Engineering, . 2196-999X