The PCP: A predictive model for satisfying conflicting objectives in scheduling problems

It is argued that to achieve the required balance between objectives, a scheduling system must have the ability to relate the consequence of a decision to the satisfaction of overall objectives. The dissertation introduces the concept of a preference capacity plan (PCP) in an attempt to give automated schedulers this ability. PCP takes cognizance of both predicted demand for capacity and the interactions that exist between scheduling objectives. Experimental analysis is used to illustrate the power, versatility, and practicality of the PCP approach Dissertation Abstract