A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses' idle time
Christine Di Martinelly and
Nadine Meskens
International Journal of Production Economics, 2017, vol. 191, issue C, 323-334
Abstract:
This paper addresses the detailed assignment of nurses to surgical operations taking into account the skills requirements. We consider the building of weekly nurse schedule roster by assigning the nurses to surgical operations while generating teams which have strong affinities and minimising nurse idle times. Nurses are assigned to shifts based on their availability, legal constraints on their working hours and the elective surgery schedule. Building on the ε-constraint method, we propose a new bi-objective approach that can solve the problem faster and more accurately, as well as provide insight into the trade-offs between the two objectives. The approach is also used to gain more insight into the problem and evaluate the impact of nurse settings. In this paper, we considered the impact of using circulating and scrub nurses or using polyvalent (multi-skilled) nurses. In all instances and settings, the affinities between the surgical team members were more sensitive to variations in idle time. Furthermore, the use of polyvalent (multi-skilled) nurses yielded rosters with reduced idle time and better surgical team member affinities.
Keywords: Operating room management; Nurse assignment; Multi-objective optimisation; Surgical team affinities (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527317301597
Full text for ScienceDirect subscribers only
Related works:
Working Paper: A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses' idle time (2017)
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:eee:proeco:v:191:y:2017:i:c:p:323-334
DOI: 10.1016/j.ijpe.2017.05.014
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().