Engineering Better Disaster Relief
05/02/09 — Scheduling problems, which involve searching for an optimal or near-optimal schedule for a set of tasks, are notoriously complex because simple searches are overwhelmed by their explosively vast number of possibilities. But with large-scale manufacturing and distribution operations, fractional improvements in scheduling can have large-scale impacts on the bottom line, which is why industrial engineers are routinely called upon to create customized sophisticated strategies for specific scheduling problems. Now, Professor Rhonda Righter has applied industrial engineering–style analysis to a different type of scheduling problem: after a mass casualty event, such as a natural disaster, a wreck or an attack, how should a medical emergency response team allocate its attention to patients, in order to save the most lives?