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arXiv · 2303.08709

Solving Rehabilitation Scheduling problems via a Two-Phase ASP approach

Matteo Cardellini·Paolo De Nardi·Carmine Dodaro·Giuseppe Galatà·Anna Giardini·Marco Maratea·Ivan Porro
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Abstract

A core part of the rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account several legal, medical and ethical requirements and optimizations, e.g., patient's preferences and operator's work balancing. Being able to efficiently solve such problem is of upmost importance, in particular after the COVID-19 pandemic that significantly increased rehabilitation's needs. In this paper, we present a two-phase solution to rehabilitation scheduling based on Answer Set Programming, which proved to be an effective tool for solving practical scheduling problems. We first present a general encoding, and then add domain specific optimizations. Results of experiments performed on both synthetic and real benchmarks, the latter provided by ICS Maugeri, show the effectiveness of our solution as well as the impact of our domain specific optimizations. Under consideration in Theory and Practice of Logic Programming (TPLP).

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Matteo Cardellini, Paolo De Nardi, Carmine Dodaro, Giuseppe Galatà, Anna Giardini, Marco Maratea, Ivan Porro. 2023-03-15. Solving Rehabilitation Scheduling problems via a Two-Phase ASP approach. https://arxiv.org/abs/2303.08709

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