Skip to main content
SpringerLink
Log in

A Novel Approach for the Nurse Scheduling Problem

  • Conference paper
Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 14))

  • 1578 Accesses

Abstract

This study considers nurse scheduling problem in seven-days-three-week operations under an arrangement called 4-day workweek. A computer-assisted scheduling program has been proposed to schedule nurses with multiple shifts. The program has been developed in Delphi 7.0 and includes a scheduling module which schedules nurses for three weeks on the basis of the weekday and weekend shift nursing requirements. The program is significantly beneficial for scheduling of large numbers of nurses and providing optimal three weekly schedules in a reasonable time and provides a faster response, a reduced cost as compared to human experts and a number of practical features.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hung, R.: Multiple-shift workforce scheduling under the 3-4 workweek with different weekday and weekend labour requirements. Management Science 40(2), 280–284 (1994a)

    Article  MATH  Google Scholar 

  2. Baker, K.: Scheduling a Full time Workforce to meet Cyclic Staffing Requirements. Management Science 20, 1561–1568 (1974)

    Article  MATH  Google Scholar 

  3. Baker, K.R., Magazine, M.J.: Workforce scheduling with cyclic demands and day-off constraints. Management Science 24(2), 161–167 (1977)

    Article  MATH  Google Scholar 

  4. Burns, R.N., Carter, M.W.: Workforce Size and Single Shift Schedules with Variable Demands. Management Science 31, 599–607 (1985)

    Article  Google Scholar 

  5. Emmons, H.: Workforce scheduling with cyclic requirements and constraints on days off, and workstretch. IIE Transactions 17, 8–16 (1985)

    Article  Google Scholar 

  6. Alfares, H.K.: Flexible 4-day workweek scheduling with weekend work frequency constraints. Computers and Indutrial Engineering 44, 325–338 (2003)

    Article  Google Scholar 

  7. Alfares, H.K.: Dual-based optimization of cyclic four-day workweek scheduling. IMA Journal of Mathematics Applied in Business and Industry 11, 269–283 (2000)

    MathSciNet  MATH  Google Scholar 

  8. Narasinhan, R.: Algorithm for multiple shift scheduling of hierarchical workforce on four-day or three-day workweeks. INFOR Journal 38(1), 14–32 (2000)

    Google Scholar 

  9. Burns, R.N., Narasimhan, R., Smith, L.D.: A set processing algorithm for scheduling staff on 4-day or 3-day work weeks. Naval Research Logistics 45, 839–853 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  10. Lankford, W.M.: Changing schedules: A case for alternative work schedules. Career Development International 3, 161–163 (1998)

    Article  Google Scholar 

  11. Hung, R.: A Multiple-shift workforce scheduling model under the 4- day workweek with weekday and weekend labour demands. Operational Research Society 45(9), 1088–1092 (1994b)

    Article  MATH  Google Scholar 

  12. Hung, R., Emmons, H.: Multiple-shift workforce scheduling under the 3-4 compressed workweek with a hierarchical workforce. IIE Transactions 25(5), 82–89 (1993)

    Article  Google Scholar 

  13. Nanda, R., Browne, J.: Introduction to employee scheduling. Van Nostrand Reinhold, New York (1992)

    Google Scholar 

  14. Arnold, B., Mills, M.E.: Core-12: Implementation of Flexible Scheduling. Journal Nurse Administration 13, 9–14 (1983)

    Article  Google Scholar 

  15. Poor, R.: 4 days 40 hours. Mentor, Newyork (1973)

    Google Scholar 

  16. Steward, G.V., Larsen, J.M.: A four -day three-day per week application to a continuous production operations. Management Science 10, 13–20 (1971)

    Google Scholar 

  17. Hung, R.: Single-shift off-day scheduling of a hierarchical workforce with variable demands. European Journal of Operational Research 78, 49–57 (1994c)

    Article  MATH  Google Scholar 

  18. Narasimhan, R.: Algorithm for a single shift scheduling of hierarchical workforce. European Journal of Operational Research 96, 113–121 (1997)

    Article  MATH  Google Scholar 

  19. Billionnet, A.: Integer programming to schedule a hierarchical workforce with variable demands. European Journal of Operational Research 114, 105–114 (1999)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering Department of Industrial Engineering, Gaziantep University, 27310, Gaziantep, Turkey

    Serap Ulusam Seckiner

Authors
  1. Serap Ulusam Seckiner
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Laboratory of Theoretical and Applied Computer Science, UFR MIM,, Paul Verlaine University of Metz, Metz, France

    Hoai An Le Thi

  2. Faculty of Sciences, Technology and Communications, University of Luxembourg, Luxembourg

    Pascal Bouvry

  3. Laboratory of Mathematics, National Institute for Applied Sciences, Rouen Mont, Saint Aignan, France

    Tao Pham Dinh

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Seckiner, S.U. (2008). A Novel Approach for the Nurse Scheduling Problem. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2008. Communications in Computer and Information Science, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87477-5_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87477-5_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87476-8

  • Online ISBN: 978-3-540-87477-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation