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 researchers.
Publisher: Taylor & Francis Inc
Number of pages: 165
Weight: 386 g
Dimensions: 235 x 156 x 15 mm
"This book has applied emerging optimization approaches, such as the simulated metamorphosis algorithm and the fuzzy grouping genetic algorithm, for solving homecare personnel scheduling problems which are very complex. The book will be an asset to the homecare sector for solving their scheduling problems."
-Professor Godfrey Onwubolu, Sheridan Institute of Technology & Advanced Learning, Brampton, Canada
"The book provides a definitive guide on fuzzy metaheuristic approaches, which is a welcome development for researchers in the area. Biologically inspired metaheuristics have been proven to offer some of the best solution methods to solving hard combinatorial problems. This book extends the utility of the approaches by combining them with fuzzy theory concepts, which allows them to more efficiently handle problems characterized by imprecision, fuzziness and vagueness."
-Dr Herbert Mapfaira, University of Botswana