Providing insight and understanding of practical and methodological issues related to decision-making processes under uncertainty conditions in the service industries, this book integrates decision-making tools with real-world examples to present world-wide best practices as well as theoretical and applied strategies such as the use of hybrid and stochastic algorithms. It discusses emerging tendencies regarding decision-support systems and information systems to support decision-making in real scenarios and includes up-to-date research on how probabilistic algorithms and simulation-based approaches are changing experiences and practices in service management.
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