@inproceedings{713289efd4f94c578bd4b357761b73a8,
title = "Complicating factors in healthcare staff scheduling part 2: Case of nurse re-rostering",
abstract = "Nurse re-rostering is a highly constrained combinatorial problem characterized with several complicating features. This paper explores recent case studies on nurse re-rostering and identifies the common complicating factors in the nurse re-rostering problem. A taxonomic analysis of complicating factors is then presented. Further, an evaluation of the complicating factors and the solution methods applied, showing the shortfalls of the approaches. A more robust and appropriate approach is realized for the complex problem. Future approaches should be intelligent, interactive, making use of a combination of fuzzy theory, fuzzy logic, multi- criteria decision making, and expert systems techniques.",
keywords = "Complicating factors, Healthcare staff scheduling, Nurse re-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 = "843--846",
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",
}