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Manage Optimization Conflicts
Enhance operational stability and reduce your optimization partial completion rate by preventing optimization conflicts when multiple optimization requests are made simultaneously on the same dataset. For example, prevent two users from creating optimization requests simultaneously for the same territory and horizon. Also configure what happens when schedule changes are made while optimization is running, for example, if a new job is automatically scheduled or a dispatcher reschedules a job while optimization is running.


