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Most systems use simple rules to select and schedule activities and
assign resources to carry them out.
Often, these schedules are far from optimal.
Aurora solves complex problems more effectively by encoding and
applying sophisticated scheduling knowledge and decision-making rules,
along with complex constraints and resource requirements.
Aurora encodes attributes
of individual tasks, groups of tasks, resources, resource sets, and constraints.
Aurora's built-in and user-supplied decision rules produce better schedules by considering these attributes
at key scheduling decision points such as:
- determining which task to schedule next,
- assigning the best time and resources to each task to optimize the overall schedule, and
- handling situations in which some resources are not available when the task is scheduled.
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Aurora's graphical user interface enables users to enter
domain-specific scheduling knowledge and requirements
quickly and easily.
Interactive graphical displays enable users to visualize
and edit the schedule’s
resource allocations
and
temporal relationships among activities.
Aurora automatically detects and highlights scheduling problems such as unresolved conflicts.
Product Overview,
Product Data Sheet
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