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

Disaster like terrorist attack, earthquake, and hurricane, often cause a high degree of damage. Thousands of people might be affected. The 2006’s annual report of the International Federation of Red Cross and Red Crescent Societies proves that the number of disasters increased during these last decades. In such situations, hospitals must be able to receive injured persons for medical and surgical treatments. For these reasons medical resources optimization of different is fundamental in human life save.

In this context, we propose in this thesis, to study the optimization of human and material resources in relation with hospital management. We focus more precisely on critical resources: operating rooms and surgeons. The goal is to handle the maximum of victims and then to save the maximum of human lives. Our research consists of two phases: (1) Sizing critical resources during the preparedness phase of disaster management plan so called white plan. (2) Operational phase that provides the optimization of surgical acts scheduling in the operating rooms. Also, we study the impact of sharing resources on the number of treated victims. A disaster situation is characterized by different disruptions. In this setting, we approach a reactive problem for optimization of surgical acts scheduling in the operating rooms. We consider various possible disruptions: the overflow of assessed surgical care duration, the insertion of a new victim in the scheduling program, and the evolution of victim’s emergency level.

This work is achieved with the collaboration of several public health institutions (hospitals, ministry, etc.) both in France and Tunisia. Empirical study shows that a substantial aid is proposed by using the proposed approaches.