Stottler Henke Congratulates Boeing and All Nippon Airways on First Commercial B787 Flight
Aurora Intelligent Scheduling Software Contributes to Launch
- San Francisco, CA (1888PressRelease) October 28, 2011 - Stottler Henke congratulates Boeing and All Nippon Airways on the first commercial flight of the Boeing B787 Dreamliner from Tokyo to Hong Kong.
Stottler Henke's intelligent scheduling software, Aurora(TM), is used by Boeing to manage aspects of the process of building the Boeing 787 Dreamliner(TM) commercial airliner. Aurora prioritizes factory production tasks for Boeing by balancing resource capacities with manufacturing requirements and constraints. The result is a dynamic assembly schedule that adapts to real-time production variability and allows Boeing to execute the plan as efficiently as possible. This is critical to Boeing because the plane is the fastest-selling new jet in aviation history and there is a large backlog of nearly 800 B787s.
"The scale of the airplane assembly scheduling problem, and the tangle of inter-related constraints makes it extremely difficult to resolve conflicts," said Richard Stottler, president of Stottler Henke Associates. "We're gratified that Boeing recognized in Aurora a uniquely capable solution for this massive scheduling challenge, and that Aurora has contributed to the launch of this new generation of civil aircraft and civil aviation."
Aurora is a sophisticated scheduling system that combines a variety of scheduling techniques, intelligent conflict resolution, and decision support. The software's scheduling decisions take into account resource requirements, a variety of constraints, and any pertinent domain knowledge. Once Aurora has created a schedule, it displays it in a series of graphical images that allow the user to see the scheduled activities, resource allocations and the temporal relationships among the activities. This display also allows the user to edit the schedule directly, intuitively, and easily. Aurora's analytic capabilities help the scheduling team understand why the software scheduled the way it did, so the team can focus on those parts of the production plan that could result in schedule cycle improvement if streamlined.
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