Springer Optimal Stochastic Scheduling - Operations Research 207

Optimal Stochastic Scheduling (International Series in Operations Research & Management Science, 207) provides a deep look into the mathematical models used in scheduling. This Springer publication covers elementary models and results while presenting recent developments and research topics in the field. As a comprehensive resource, it serves as a bridge between foundational knowledge and advanced research. The text is structured to be useful for several levels of academic and professional study. It functions as organized reading material for graduate and postgraduate students seeking to understand the core principles of stochastic scheduling. For researchers, this book acts as a strong starting point for further literature research. By combining summaries of basic models with detailed discussions on complex, modern topics, it offers a complete overview of the current landscape in operations research and management science.