Laboratoire de Génie Informatique et d’Automatique de l’Artois

Haifa NOUIRA

Ph.D. student
(Left the LGI2A in 2021)
Member of the research themes:

Revue Internationale avec Comité de Lecture

2023
International journal with review committee
DOI
A GVNS-based approach for periodic consumables delivery to home hemodialysis patients: a case study
European Journal of Industrial Engineering, 04/2023

Conférence Internationale avec Comité de Lecture

2020
International conference with review committee
Tournées de véhicules périodiques avec capacité de stockage limitée : application à un service de dialyse à domicile
10ème Conférence Francophone en Gestion et Ingénierie des Systèmes Hospitaliers (GISEH 2020), Valenciennes, France, 10/2020
Periodic Vehicle Routing Problem for Home HemoDialysis Care
8th International Conference on Industrial Engineering and Systems Management, IESM 2019, Shanghai, China, IEEE, Donghua University, 09/2019

Author of the Ph.D. thesis "Periodic Vehicle Routing Problem for Home HemoDialysis Care"

2018 - 2023

This thesis deals with the study of an optimization problem in the field of home healthcare. The problem concerns the problem of periodic delivery of consumables to hemodialysis patients at home. The goal is to present an optimization approach that allows decision-makers to estimate the overall cost of a tour with flexible visit frequencies that respect patient storage capacity and visit preference. First, we developed a mathematical model taking into account the specific needs of hemodialysis patients, such as the frequency of deliveries. Then, we developed a variable neighborhood search approach to solve this NP-hard problem, proposing different neighborhood structures and efficient solution schemes. The overall evaluation of the proposed approach on instances from the literature shows the effectiveness of the proposed approach. Thus, the application of the method on a pseudo-real case has shown its
advantages in finding the optimal frequency of visits that respects available patient capacity, time windows and minimizes total costs.