A classification scheme for integrated staff rostering and scheduling problems

Abstract

In the last decades job scheduling, staff rostering and staff assignment have received considerable attention, as have combinations of these problems. However, given the wide range of variants of all three basic problems, the number of combinations is immense. In this paper we introduce a new classification scheme for integrated staff rostering and job scheduling problems, extending existing schemes for project and machine scheduling. We provide some elementary reductions and show how problems studied in the literature fit into this new classification scheme. Furthermore, some complexity results are presented.