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

Ph.D. thesis of Mariem BELHOR

Robust Optimization for Multi-periodic Critical Resource Planning in Health care by applying Conventional and non-conventional Approaches

Starting date: 1 May 2019
Funding: Dual Enrollment Grant
Keywords: Workforce management, Optimization, Time service, Learning, Internet of Things, Real data

While a home service is a fast growing industry, little attention has been given to the management of its workforce. To maintain growth, a key challenge for home-service companies is managing their critic resources (i.e. expensive and limited labor resources). In particular, the time an employee needs to provide high quality service often depends on his/her experience. Importantly, experience increases over time, thus gradually decreasing the time required to provide service. By accounting for employee experience and the accompanying learning, managers can take advantage of capacity increases that result from experience, improving efficiency and enabling further growth. Another key challenge for home-service companies is optimizing resources availability by using new technologies like IoT (Internet Of Things) devices to find the best staff planning while considering the environment real data.

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Defense took place the 22/11/2022 am30 10:30 Prestige room, FSA, Béthune


  • Rapporteur Ahmed Nait SIDI MOH Université J.Monnet
  • Rapporteur Saoussen KRICHEN ISG de Tunis
  • Examinateur Sondes HAMMAMI ENICarthage
  • Examinateur David DUVIVIER Université Polytechnique Hauts-de-France