EconPapers    
Economics at your fingertips  
 

Nurse Scheduling by Fuzzy Goal Programming

Mehrdad Tamiz and Mohammed Ali Yaghoobi ()
Additional contact information
Mohammed Ali Yaghoobi: Shahid Bahonar University of Kerman

A chapter in New Developments in Multiple Objective and Goal Programming, 2010, pp 151-163 from Springer

Abstract: Abstract This paper develops a fuzzy goal programming model to plan and allocate nurses to hospital wards. It is applied to a hospital ward in Kerman, Iran. The monthly schedule developed by the proposed model takes into account both hospital objectives and nurses’ preferences. First, the nurses’ preferences are obtained via a questionnaire. Then, the objectives and the nurses’ preferences are divided into two major parts in the proposed model: hard constraints and fuzzy goals. The resulting schedule, by solving the proposed model, is implemented and is much preferred to the current schedule. Moreover, the proposed model is easily applicable, takes a short time to solve, and can be extended to include other objectives or preferences.

Keywords: Fuzzy Goal; Fuzzy Goal Programming (FGP); Nurse Scheduling; FGP Model; Hospital Objective (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-10354-4_11

Ordering information: This item can be ordered from
http://www.springer.com/9783642103544

DOI: 10.1007/978-3-642-10354-4_11

Access Statistics for this chapter

More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-20
Handle: RePEc:spr:lnechp:978-3-642-10354-4_11