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The overlapping case in an integrated staffing and rostering formulation

The overlapping case in an integrated staffing and rostering formulation. Komarudin , M.-A. Guerry , G. Vanden Berghe , and T. De Feyter. Contents. Introduction Personnel structure Nurse rostering problem Literature review Roster Quality Staffing (RQS) Problem Subgroup formulation

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The overlapping case in an integrated staffing and rostering formulation

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  1. The overlapping case in an integrated staffing and rostering formulation Komarudin, M.-A. Guerry, G. VandenBerghe, and T. De Feyter

  2. Contents • Introduction • Personnel structure • Nurse rostering problem • Literature review • Roster Quality Staffing (RQS) Problem • Subgroup formulation • Overlapping rostering constraint • Illustration • Conclusion and future research

  3. Introduction - Personnel structure • represents the number and the composition of distinct personnel subgroups • used for (long term) manpower planning

  4. Introduction - Nurse Rostering • concerns arranging the available nursing personnel to work requirements. • Short to medium planning period M: Morning (6-14) D: Day (14-22) N: Night (22-6) S1: Skill-1 S2: Skill-2

  5. Nurse Rostering Problem Day-shift after night shift • Many constraints • Quality = the violation of soft constraints • The lower the better M = Morning (6-14), D = Day (14-22), N = Night (22-6)

  6. Nurse Rostering Problem -More on Soft Constraints • NP-hard Problem Used metaheuristics (VNS & ALNS ) Refer to Bilgin et al. (2010) for more detail

  7. Motivation Usually fixed

  8. Motivation Usually fixed How we can determine PS  good quality roster? Feedback Undesired condition • Understaffing • Overstaffing • Conflicting constraints

  9. Literature review

  10. Roster Quality Staffing (RQS) Problem statement How to investigate the suitability of a personnel structure while considering the roster quality? Roster quality Personnel structure Roster

  11. Three-step approach Roster Quality Staffing (RQS) Problem statement • Static check • Roster quality component examination • Simple neighbourhood examination How to investigate the suitability of a personnel structure while considering the roster quality? Roster quality Personnel structure Roster

  12. New formulation Subgroup formulation Overlapping rostering constraint

  13. Defining subgroups on RQS 1 • Characteristics to differentiate subgroups : the set of characteristics for subgroup is the -th characteristic of subgroup . • Example:

  14. Subgroup formulations on RQS • Exactly-same characteristics based , • Main-characteristic based , beneficial if the main-characteristic has a high penalty weight.

  15. Subgroup formulation on RQS (application) • Multiple wards • Float unit personnel • Cross-trained personnel • Example:

  16. 2 Overlapping personnel constraints • Subgroup-specific vs. overlapping • Overlapping: associated with two or moresubgroups. • Example: • coverage requirements for skill C • tutorship, etc.

  17. Models for overlapping rostering constraints • possessed by at least two subgroups, e.g. coverage reqs. for float unit , , and . • partiallypossessed by at least two subgroups, e.g. tutorship , , , and . 1 – Substitution (OR) 2 – Complementary (AND) Characteristics of subgroup i Characteristics of overlapping rostering constraint l

  18. Application on three-step approach Three proposed examinations: • Static check • Roster quality component examination • Overlapping rostering constraints • Simple neighbourhood examination Subgroup formulation  three examinations

  19. Illustration • Emergency ward taken from Bilgin et al. (2012) • 4 weeks Exactly-same subgroup based

  20. Emergency ward(1) static check & (2) roster quality 1 Reasonable, provide some extra time for vacation/illness

  21. Emergency ward(1) static check & (2) roster quality 1 Reasonable, provide some extra time for vacation/illness 2 The lower the better Soft constraint violations Skill 4 understaffed Substitution overlapping constraint G2, G3 & G4

  22. Emergency ward(3) Simple neighbourhood examination 3 The lower the better

  23. Emergency ward(3) Simple neighbourhood examination 3 Wilcoxon test produces very low p-values, close to zero. Difference significant Add G2, G3 & G4 Skill 4 understaffed

  24. Conclusion Conclusions: • Subgroup formulation provides more general formulation: • multi-ward, float unit, cross-trained, etc. • Overlapping rostering constraint: • clarifies the source of a low roster quality • RQS problem can be decomposed into smaller problems Future directions: • develop an optimization approach to find the most preferable personnel structure • Integrate with manpower planning

  25. References • Abernathy, W. J., Baloff, N., Hershey, C. J. & Wandel, S., 1973. A Three-Stage Manpower Planning and Scheduling Model-A Service Sector Example. Operations Research, 21(3), pp. 693-711. • Bard, J. F. & Purnomo, H. W., 2005. A column generation-based approach to solve the preference scheduling problem for nurses with downgrading. Socio-Economic Planning Sciences, 39(3), pp. 193-213. • Beliën, J., Cardoen, B. & Demeulemeester, E., 2011.. Improving workforce scheduling of aircraft line maintenance at Sabena Technics. Interfaces. In Press. • Bilgin, B., De Causmaecker, P., Rossie, B. & VandenBerghe, G., 2010. Local search neighbourhoods for dealing with a novel nurse rostering model. Annals of Operations Research, pp. 1-25. • Broos Maenhout and Mario Vanhoucke. An integrated nurse stang and scheduling analysis for longer-term nursing sta allocation problems. Omega, 41(2):485{499, 2013. 429 • Corominas, A., Lusa, A. & Pastor, R., 2007. Planning production and working time within an annualised hours scheme framework. Annals of Operations Research, 155(1), pp. 5-23.

  26. References • Li, Y., Chen, J. & Cai, X., 2007. An integrated staff-sizing approach considering feasibility of scheduling decision. Annals of Operations Research, 155(1), pp. 361-390. • Mundschenk, M. & Drexl, A., 2007. Workforce planning in the printing industry. International Journal of Production Research, 45(20), pp. 4849-4872. • Ozcan, Y. A., 2009. Quantitative Methods in Health Care Management: Techniques and Applications. 2nd ed. San Fransisco: Jossey-Bass. • StefaanHaspeslagh. Negotiation at the short and mid term level supported by analysis of nurse rostering problems. PhD thesis, Computer Science, Kulak, 2012. • Venkataraman, R. & Brusco, M. J., 1996. An integrated analysis of nurse staffing and scheduling policies. 24(1), pp. 57-71.

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