Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems
Artificial Intelligence - Special volume on constraint-based reasoning
Agents that reduce work and information overload
Communications of the ACM
Using iterative repair to automate planning and scheduling of shuttle payload operations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Automating planning and scheduling of shuttle payload operations
Artificial Intelligence - Special issue on applications of artificial intelligence
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Bridging the gap between planning and scheduling
The Knowledge Engineering Review
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The staff scheduling problem is a critical problem in the call center (or more generally, customer contact center) industry. This paper describes Director, a staff scheduling system for contact centers, Director is a constraint-based system that uses AI search techniques to generate schedules that satisfy and optimize a wide range of constraints and service quality metrics. Director has been successfully deployed at over 800 contact centers, with significant measurable benefits, some of which are documented in case studies included in this paper.