Achieving compromise solutions in nurse rostering by using automatically estimated acceptance thresholds

Author(s):  
Elín Björk Böðvarsdóttir ◽  
Pieter Smet ◽  
Greet Vanden Berghe ◽  
Thomas J.R. Stidsen
2017 ◽  
Vol 25 (3) ◽  
pp. 844-857 ◽  
Author(s):  
Robert G Drake

Following a decade of dissemination, particularly within the British National Health Service, electronic rostering systems were recently endorsed within the Carter Review. However, electronic rostering necessitates the formal codification of the roster process. This research investigates that codification through the lens of the ‘Roster Policy’, a formal document specifying the rules and procedures used to prepare staff rosters. This study is based upon analysis of 27 publicly available policies, each approved within a 4-year period from January 2010 to July 2014. This research finds that, at an executive level, codified knowledge is used as a proxy for the common language and experience otherwise acquired on a ward through everyday interaction, while at ward level, the nurse rostering problem continues to resist all efforts at simplification. Ultimately, it is imperative that executives recognise that electronic rostering is not a silver bullet and that information from such systems requires careful interpretation and circumspection.


2018 ◽  
Vol 196 ◽  
pp. 176-187 ◽  
Author(s):  
Andreas Fügener ◽  
Alexander Pahr ◽  
Jens O. Brunner

Author(s):  
Elín Björk Böðvarsdóttir ◽  
Niels-Christian Fink Bagger ◽  
Laura Elise Høffner ◽  
Thomas J. R. Stidsen

2017 ◽  
Vol 35 (4) ◽  
pp. 397-409 ◽  
Author(s):  
Antonio Nesticò ◽  
Francesco Sica

Purpose The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources. Design/methodology/approach The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability. Findings The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature. Research limitations/implications All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences. Practical implications The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area. Social implications The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory. Originality/value Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.


2010 ◽  
Vol 14 (4) ◽  
pp. 580-590 ◽  
Author(s):  
Ruibin Bai ◽  
Edmund K. Burke ◽  
Graham Kendall ◽  
Jingpeng Li ◽  
Barry McCollum

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