Scheduling

• Ascent Technology, Inc.
  Application: ARIS
  Ascent's ARIS® software provides real-time decision support for gate allocation, ground resource allocation, aircraft routing, tracking, and maintenance scheduling for clients in the air transportations industry. New, leading-edge airport facilities in Europe and Asia have chosen the ARIS resource allocation system for handling check-in counters, baggage belts, and other airport resources. Delta Air Lines uses Ascent's ARIS software to plan and monitor fuel use and wear on the airplane during taxiing.

• NASA
  Application: Mars Pathfinder Mission's Planning System
  The Planner system helped Pathfinder scientists account for new data as it was transmitted from Mars by the Pathfinder spacecraft, and evolve their mission plans in real-time to optimize spacecraft operations. Not only was the system used pre-launch to plan out the activities of the spacecraft, but it was also used during mission operations, on each and every day of the Pathfinder mission. "Every day, we would plug in the activities planned for that day. Then, we would take the information we'd gathered on the previous day, input this data into the Planner, and see how the activities were affected. We'd make any necessary modifications, then spit out the new plan," Mittman explains.

• Northwest Airlines
  Application: Gate Scheduling
  Northwest Airlines uses Allegro CL for its scheduling applications, developed internally for the company's three major hub airports: Detroit, Minneapolis and Memphis. The system schedules gates for incoming and outgoing Northwest Airlines flights at these three (very busy) airports.

• Space Telescope Institute
  Application: Spike: Hubble Telescope Scheduling System
  Spike is an activity-oriented scheduling system developed at Space Telescope Institute for scheduling the Hubble Space Telescope. Advances in artificial intelligence research inspired the overall approach adopted in Spike. Spike also incorporates several novel features including an innovative constraint representation and reasoning mechanism, and a new type of search technique motivated by research on artificial neural networks. This new approach is intended to tackle the four notable features of spacecraft scheduling that make it a difficult problem: interacting constraints, uncertainty, optimization criteria, and search.

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