Scheduling is a broad research area and scheduling problems arise from
several application domains (production systems, logistic, computer
science, etc.). Solving scheduling problems requires tools of
combinatorial optimization, exact or approximated algorithms.
Flexibility is at the frontier between predictive deterministic
approaches and reactive or ?on-line? approaches. The purpose of
flexibility is to provide one or more solutions adapted to the context
of the application in order to provide the ideal solution. This book
focuses on the integration of flexibility and robustness considerations
in the study of scheduling problems. After considering both flexibility
and robustness, it then covers various scheduling problems, treated with
an emphasis on flexibility or robustness, or both.