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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Optimal Stochastic Scheduling (Hardcover, 2014 ed.)
Loot Price: R5,133
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Optimal Stochastic Scheduling (Hardcover, 2014 ed.)
Series: International Series in Operations Research & Management Science, 207
Expected to ship within 12 - 19 working days
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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 and 3, 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.
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