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The extended roster quality staffing problem: addressing roster quality variation within a staffing planning period

Author

Listed:
  • Komarudin

    (Vrije Universiteit Brussel)

  • Tim De Feyter

    (KU Leuven)

  • Marie-Anne Guerry

    (Vrije Universiteit Brussel)

  • Greet Vanden Berghe

    (KU Leuven)

Abstract

Staffing and rostering are two interdependent optimization problems related to personnel planning. Where staffing concerns an organization’s personnel composition, personnel rostering aims to assign that staff to shifts while respecting a set of constraints. Staffing decisions therefore impact on the extent to which personnel rostering objectives can be accomplished. Previous research has suggested that it may prove beneficial to address both problems simultaneously and has introduced the roster quality staffing (RQS) problem to this effect. The RQS aims to assess the appropriateness of a given personnel structure based on the quality of its corresponding roster. The RQS problem is, however, limited by the fact that it only considers one rostering period and thus neglects that staffing and rostering span different time horizons. One staffing period usually consists of multiple rostering periods, during which the rostering objectives and constraints may vary. This difference between rostering periods causes roster quality variation within the same staffing period. This paper remedies this issue by introducing a generalization of the RQS problem: the Extended RQS problem. This generalization considers the impact of a personnel structure upon possible roster quality over the entire staffing period. There currently exist no suitable algorithms for solving the extended roster quality staffing problem, and therefore, two local search-based approaches have been developed and assessed by means of publicly available personnel rostering instances. Experimental results demonstrate both algorithms’ optimization potential. In addition, the accuracy of the new model is assessed with respect to both staffing decisions and overall roster quality.

Suggested Citation

  • Komarudin & Tim De Feyter & Marie-Anne Guerry & Greet Vanden Berghe, 2020. "The extended roster quality staffing problem: addressing roster quality variation within a staffing planning period," Journal of Scheduling, Springer, vol. 23(2), pages 253-264, April.
  • Handle: RePEc:spr:jsched:v:23:y:2020:i:2:d:10.1007_s10951-020-00654-7
    DOI: 10.1007/s10951-020-00654-7
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    1. Regis, Rommel G. & Shoemaker, Christine A., 2007. "Parallel radial basis function methods for the global optimization of expensive functions," European Journal of Operational Research, Elsevier, vol. 182(2), pages 514-535, October.
    2. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    3. A.T. Ernst & H. Jiang & M. Krishnamoorthy & B. Owens & D. Sier, 2004. "An Annotated Bibliography of Personnel Scheduling and Rostering," Annals of Operations Research, Springer, vol. 127(1), pages 21-144, March.
    4. Venkataraman, R. & Brusco, M. J., 1996. "An integrated analysis of nurse staffing and scheduling policies," Omega, Elsevier, vol. 24(1), pages 57-71, February.
    5. Broos Maenhout & Mario Vanhoucke, 2013. "Analyzing the nursing organizational structure and process from a scheduling perspective," Health Care Management Science, Springer, vol. 16(3), pages 177-196, September.
    6. Rommel G. Regis & Christine A. Shoemaker, 2007. "A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions," INFORMS Journal on Computing, INFORMS, vol. 19(4), pages 497-509, November.
    7. Jeroen Beliën & Brecht Cardoen & Erik Demeulemeester, 2012. "Improving Workforce Scheduling of Aircraft Line Maintenance at Sabena Technics," Interfaces, INFORMS, vol. 42(4), pages 352-364, August.
    8. D. Huang & T. Allen & W. Notz & N. Zeng, 2006. "Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models," Journal of Global Optimization, Springer, vol. 34(3), pages 441-466, March.
    9. Komarudin, & Guerry, Marie-Anne & De Feyter, Tim & Vanden Berghe, Greet, 2013. "The roster quality staffing problem – A methodology for improving the roster quality by modifying the personnel structure," European Journal of Operational Research, Elsevier, vol. 230(3), pages 551-562.
    10. M-A Guerry & T De Feyter, 2012. "Optimal recruitment strategies in a multi-level manpower planning model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(7), pages 931-940, July.
    11. Dimitriou, V.A. & Georgiou, A.C. & Tsantas, N., 2013. "The multivariate non-homogeneous Markov manpower system in a departmental mobility framework," European Journal of Operational Research, Elsevier, vol. 228(1), pages 112-121.
    12. Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    13. Smet, Pieter & Brucker, Peter & De Causmaecker, Patrick & Vanden Berghe, Greet, 2016. "Polynomially solvable personnel rostering problems," European Journal of Operational Research, Elsevier, vol. 249(1), pages 67-75.
    14. Burak Bilgin & Patrick Causmaecker & Benoît Rossie & Greet Vanden Berghe, 2012. "Local search neighbourhoods for dealing with a novel nurse rostering model," Annals of Operations Research, Springer, vol. 194(1), pages 33-57, April.
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