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Healthcare Staff Scheduling - Emerging Fuzzy Optimization Approaches (Paperback)
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Healthcare Staff Scheduling - Emerging Fuzzy Optimization Approaches (Paperback)
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Healthcare operations, in hospitals and home healthcare settings,
are inundated with complex fuzzy features that impose difficulties
in the creation of work schedules. As healthcare workers call for
schedules that accommodate their individual preferences and
patients continue to call for more personalized healthcare, further
research into multi-criteria solution approaches to staff
scheduling is imperative. Healthcare Staff Scheduling: Emerging
Fuzzy Optimization Approaches presents in-depth research into
emerging approaches to healthcare staff scheduling. It starts by
reviewing the key issues and challenges inherent in staff
scheduling, along with the basic concepts of fuzzy set theory.
Examining research applications in healthcare staff scheduling, it
details promising fuzzy optimization algorithms derived from
biologically inspired approaches and fuzzy theory. Providing
researchers, operations analysts, scientists, and practitioners
with a practical and in-depth understanding of modern fuzzy
metaheuristic optimization approaches, the book presents
cutting-edge research on multi-criteria algorithms and their
applications in healthcare operations, particularly in staff
scheduling. The book illustrates flexible techniques for solving
complex scheduling problems that account for the variability that
results from imprecise human preferences. Covering recent
developments in the methods utilized to create high-quality staff
schedules, it includes many instructive examples of healthcare
schedule problems along with potential solutions. Considering
avenues for future research, this book will help readers pave the
way to new and improved methods for solving staff scheduling
problems that are difficult to evaluate quantitatively due to
imprecision, fuzziness, and vagueness. To promote the quality of
the work presented, all chapters in this book have been rigorously
reviewed by leading international experts and researche
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