Every day, businesses with large service fleets brace for the unpredictable. How many calls for service will stream in during the day? Where will the nearest technicians be, and will they have the right parts in their repair kits? For companies handling hundreds, even thousands, of calls a day, coordinating service is immensely complex-and wrong answers can be immensely costly.
Now, researchers at IBM are unveiling software that will answer all those questions automatically. The IBM algorithms continually account for data-ranging from which customers have called for service to whether a technician’s van has broken down-and periodically churn out instructions representing the best way to deploy the work force at that moment. “I think our approach of continually reoptimizing every 10 to 15 minutes is basically unique to us,” says Baruch Schieber, a computer scientist at IBM Research in Yorktown Heights, NY. What’s more, he adds, the IBM system relies less on previous calculations when performing new optimizations than other approaches do, so errors don’t snowball over time.
Features like this make the IBM tools innovative-and give them unprecedented breadth and power, says David B. Shmoys, a computer scientist at Cornell University. “They’re leveraging state-of-the-art theoretical ideas and bringing them to bear on practical problems in an interesting way,” Shmoys says. Plus, the IBM approach juggles seven factors, from customer locations to parts availability-a feat that Schieber says is unique in a field where five and six are considered difficult.
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