@inproceedings{615fdca7699348a29a08548d16e5cbbb,
title = "Complicating factors in healthcare staff scheduling part 1: Case of nurse rostering",
abstract = "Nurse rostering is a hard problem inundated with inherent complicating features. This paper explores case studies on nurse rostering in order identify complicating factors common in the nurse rostering problem. A taxonomy of complicating factors is then derived. Furthermore, a closer look at the complicating factors and the solution methods applied is performed. Inadequacies of the approaches are identified, and suitable approaches derived. The study recommends future methods that arc more intelligent, interactive, making use of techniques such fuzzy theory, fuzzy logic, multi-criteria decision making, and expert systems.",
keywords = "Complicating factors, Healthcare staff scheduling, Nurse rostering, Nurse scheduling, Staff scheduling",
author = "Michael Mutingi and Charles Mbohwa",
year = "2015",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "839--842",
editor = "Ao, {S. I.} and Len Gelman and Len Gelman and Hukins, {David W.L.} and Andrew Hunter and Korsunsky, {Alexander M.} and Ao, {S. I.} and Ao, {S. I.}",
booktitle = "WCE 2015 - World Congress on Engineering 2015",
note = "2015 World Congress on Engineering, WCE 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
}