Author:

Keywords:

itec, iMinds

Abstract:

This paper is concerned with integrating the roster quality and the staffing decisions. In particular, the roster quality is aggregated over time to match the staffing planning period. It is in contrast with previous research that relied on the quality of a roster representing a much shorter horizon than the staffing period. This model extends on previous work by providing more accurate staffing decisions based on roster quality for the whole staffing period and taking into account all rostering constraints. The roster quality is obtained by a scenario-based aggregation. A simulated annealing has been applied to the model. The method has been tested on several problem instances, and the results show that it can produce a better personnel structure in terms of the roster quality than the initial personnel structure.