Citation

omarudin, K.; Feyter, T. D; Guerry, M-A. and Berghe, G. V. Extended Roster Quality Staffng Problem A medium term roster quality to support staffing decisions. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 424-436, 2013.

Paper


Abstract

This paper is concerned with integrating the roster quality and the sta?ng decisions. In particular, the roster quality is aggregated over time to match the sta?ng planning period. It is in contrast with previous research that relied on the quality of a roster representing a much shorter horizon than the sta?ng period. This model extends on previous work by providing more accurate sta?ng decisions based on roster quality for the whole sta?ng 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.


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Bibtex

@INPROCEEDINGS{2013-424-436-P, author = {{Komarudin} and T. De Feyter and M-A. Guerry and G. Vanden Berghe},
title = {Extended Roster Quality Staffng Problem A medium term roster quality to support staffing decisions},
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {424--436},
note = {Paper},
abstract = {This paper is concerned with integrating the roster quality and the sta?ng decisions. In particular, the roster quality is aggregated over time to match the sta?ng planning period. It is in contrast with previous research that relied on the quality of a roster representing a much shorter horizon than the sta?ng period. This model extends on previous work by providing more accurate sta?ng decisions based on roster quality for the whole sta?ng 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. },
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-424-436-P.pdf} }