In this section
@inproceedings{Leigh:2025:10.3233/FAIA251456,
author = {Leigh, J and Letsios, D and Mella, A and Machetti, L and Toni, F},
doi = {10.3233/FAIA251456},
pages = {5216--5223},
title = {Argumentation for ExplainableWorkforce Optimisation},
url = {http://dx.doi.org/10.3233/FAIA251456},
year = {2025}
}
TY - CPAPER
AB - Workforce management is a complex problem involving the optimisation of the makespan and travel distance required for a team of operators to complete a set of jobs, using a set of instruments. A crucial challenge in workforce management is accommodating changes at execution time so that explanations are provided to all stakeholders involved. Here, we show that, by understanding workforce management as abstract argumentation in an industrial application, we can accommodate change and obtain faithful explanations. We show, with a user study, that our tool and explanations lead to faster and more accurate problem solving than conventional manual approaches.
AU - Leigh,J
AU - Letsios,D
AU - Mella,A
AU - Machetti,L
AU - Toni,F
DO - 10.3233/FAIA251456
EP - 5223
PY - 2025///
SN - 0922-6389
SP - 5216
TI - Argumentation for ExplainableWorkforce Optimisation
UR - http://dx.doi.org/10.3233/FAIA251456
ER -
