Skip to main content

Nurse Rostering Problems

  • Chapter
  • First Online:

Part of the book series: Natural Computing Series ((NCS))

Abstract

Personnel scheduling problems arise from various real-world scenarios, including supermarket staff scheduling, call centre staff allocation, police force scheduling, and, the most studied, nurse rostering in hospitals. Due to the demands of quality healthcare, limited resources, and the tight constraints of specific legislation worldwide, the nurse rostering problem (NRP) has received extensive research attention in the last five decades [26].

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Pillay, N., Qu, R. (2018). Nurse Rostering Problems. In: Hyper-Heuristics: Theory and Applications. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-96514-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-96514-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96513-0

  • Online ISBN: 978-3-319-96514-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics