Optimal Stochastic Scheduling
Seiten
2016
|
Softcover reprint of the original 1st ed. 2014
Springer-Verlag New York Inc.
978-1-4899-7884-4 (ISBN)
Springer-Verlag New York Inc.
978-1-4899-7884-4 (ISBN)
This comprehensive book details elementary models and results in stochastic scheduling. It also presents the latest developments and research topics in the area.
Many interesting and important results on stochastic scheduling problems have been developed in recent years, with the aid of probability theory. This book provides a comprehensive and unified coverage of studies in stochastic scheduling. The objective is two-fold: (i) to summarize the elementary models and results in stochastic scheduling, so as to offer an entry-level reading material for students to learn and understand the fundamentals of this area and (ii) to include in details the latest developments and research topics on stochastic scheduling, so as to provide a useful reference for researchers and practitioners in this area.
Optimal Stochastic Scheduling is organized into two parts: Chapters 1-4 cover fundamental models and results, whereas Chapters 5-10 elaborate on more advanced topics. More specifically, Chapter 1 provides the relevant basic theory of probability and then introduces the basic concepts and notation of stochastic scheduling. In Chapters 2 and3, the authors review well-established models and scheduling policies, under regular and irregular performance measures, respectively. Chapter 4 describes models with stochastic machine breakdowns. Chapters 5 and 6 introduce, respectively, the optimal stopping problems and the multi-armed bandit processes, which are necessary for studies of more advanced subjects in subsequent chapters. Chapter 7 is focused on optimal dynamic policies, which allow adjustments of policies based on up-to-date information. Chapter 8 describes stochastic scheduling with incomplete information in the sense that the probability distributions of random variables contain unknown parameters, which can however be estimated progressively according to updated information. Chapter 9 is devoted to the situation where the processing time of a job depends on the time when it is started. Lastly, in Chapter 10 the authors look at several recent models beyond those surveyed in the previous chapters.
Many interesting and important results on stochastic scheduling problems have been developed in recent years, with the aid of probability theory. This book provides a comprehensive and unified coverage of studies in stochastic scheduling. The objective is two-fold: (i) to summarize the elementary models and results in stochastic scheduling, so as to offer an entry-level reading material for students to learn and understand the fundamentals of this area and (ii) to include in details the latest developments and research topics on stochastic scheduling, so as to provide a useful reference for researchers and practitioners in this area.
Optimal Stochastic Scheduling is organized into two parts: Chapters 1-4 cover fundamental models and results, whereas Chapters 5-10 elaborate on more advanced topics. More specifically, Chapter 1 provides the relevant basic theory of probability and then introduces the basic concepts and notation of stochastic scheduling. In Chapters 2 and3, the authors review well-established models and scheduling policies, under regular and irregular performance measures, respectively. Chapter 4 describes models with stochastic machine breakdowns. Chapters 5 and 6 introduce, respectively, the optimal stopping problems and the multi-armed bandit processes, which are necessary for studies of more advanced subjects in subsequent chapters. Chapter 7 is focused on optimal dynamic policies, which allow adjustments of policies based on up-to-date information. Chapter 8 describes stochastic scheduling with incomplete information in the sense that the probability distributions of random variables contain unknown parameters, which can however be estimated progressively according to updated information. Chapter 9 is devoted to the situation where the processing time of a job depends on the time when it is started. Lastly, in Chapter 10 the authors look at several recent models beyond those surveyed in the previous chapters.
Basic Concepts.- Regular Performance Measures.- Irregular Performance Measures.- Stochastic Machine Breakdowns.- Optimal Stopping Problems.- Multi-armed Bandit Processes.- Dynamic Policies.- Stochastic Scheduling with Incomplete Information.- Optimal Policies in Time-varying Scheduling.- More Stochastic Scheduling Models.
| Erscheinungsdatum | 18.09.2016 |
|---|---|
| Reihe/Serie | International Series in Operations Research Management Science ; 207 |
| Zusatzinfo | 3 Illustrations, black and white |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Wirtschaft ► Allgemeines / Lexika |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Bandit Processes • Irregular Performance Measures • Optimal Stopping • Regular Performance Measures • Scheduling • Stochastic Scheduling • Time-varying Scheduling |
| ISBN-10 | 1-4899-7884-4 / 1489978844 |
| ISBN-13 | 978-1-4899-7884-4 / 9781489978844 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
warum etablierte Unternehmen den Wettbewerb um bahnbrechende …
Buch | Softcover (2025)
Vahlen (Verlag)
CHF 48,85
wie man Menschen wirklich weiterbringt
Buch | Softcover (2024)
Vahlen (Verlag)
CHF 37,65
wie Teams funktionieren und wann sie effektiv arbeiten
Buch | Softcover (2024)
Vahlen (Verlag)
CHF 45,95
