The (a)social exam invigilator assignment problem

The invigilator assignment problem provides an assignment of invigilators, also called proctors, to a predetermined exam timetable with given invigilator demand. We provide three problem variants with a focus on invigilator-timeslot preferences and socialization aspects. We prove that the variant with timeslot preferences is polynomially solvable, whereas incorporating socialization aspects makes the problem $$\mathcal{N}\mathcal{P}$$ -hard. Hence, we also provide a heuristic approach and show its effectiveness based on real-life benchmark instances, arising from a case study conducted at Ghent University. Furthermore, we introduce and evaluate artificial instances based on well-known exam timetabling instances from the literature. Finally, we discuss the practical implications and key insights derived from the case study.

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Publication Details

Journal
Journal of Scheduling
Published
2026-01-26
DOI
https://doi.org/10.1007/s10951-025-00868-7
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

The (a)social exam invigilator assignment problem

Nico Schmid, David Van Bulck, Veronique Limère, Hannah Verplancke
Journal of Scheduling
Scheduling and Timetabling Solutions
article

The (a)social exam invigilator assignment problem

Nico Schmid, David Van Bulck, Veronique Limère, Hannah Verplancke
article en

Abstract

The invigilator assignment problem provides an assignment of invigilators, also called proctors, to a predetermined exam timetable with given invigilator demand. We provide three problem variants with a focus on invigilator-timeslot preferences and socialization aspects. We prove that the variant with timeslot preferences is polynomially solvable, whereas incorporating socialization aspects makes the problem $$\mathcal{N}\mathcal{P}$$ -hard. Hence, we also provide a heuristic approach and show its effectiveness based on real-life benchmark instances, arising from a case study conducted at Ghent University. Furthermore, we introduce and evaluate artificial instances based on well-known exam timetabling instances from the literature. Finally, we discuss the practical implications and key insights derived from the case study.

Journal of Scheduling
HOGENT University of Applied Sciences and Arts (BE), Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Ghent University Hospital (BE), Ghent University (BE), Flanders Make (Belgium) (BE), Institut d'Economie Scientifique Et de Gestion (FR), Lille Économie Management (FR)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Decent work and economic growth
Openalex Percentile: Top 80%
Scheduling and Timetabling Solutions
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The (a)social exam invigilator assignment problem — Nico Schmid, David Van Bulck, et al. · Journal of Scheduling (2026) | TGRS Research Map | TGRS