SOLVING ROSTERING TASKS BY GENERIC METHODS FOR CONSTRAINT OPTIMIZATION

Author:

AUF'M HOFE HARALD MEYER1

Affiliation:

1. GWI-SIEDA GmbH, Richard-Wagner-Str. 91, D-67655 Kaiserslautern, Germany

Abstract

Based on experiences with the ORBIS·Dienstplan-system, this paper described how constraint processing can be used to implement automatic rostering systems. In practice, nurse rostering problems have many varying parameters. Hence, rostering requires a flexible formalism for representing the variants of the problem as well as a robust search procedure that is able to cope with all problem instances. On the one hand, the used constraint formalism allows the integration of very fine-grained optimization tasks by fuzzy constraints, which a roster may partially satisfy and partially violate. On the other hand, the described system uses an any-time algorithm to search good rosters. A meta-problem is generated from the constraint representation of the problem to identify reasons for constraint violations in order to improve the search for improvement steps.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

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