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Theses

Logistique hospitalière à l’aide de robots mobiles reconfigurables

Abstract : Due to the expansion of the life duration and the shortage of medical personal in hospitals the EU funded IWARD project as part of the IFP6 program. The aims of this project were to assist the medical personnel in logistic and non medical tasks (transport, cleaning, environmental monitoring, guidance and tele-monitoring) through the usage of mobile, reconfigurable, rechargeable robots, thus letting the Medical staff to concentrate on medical aspects of their work.This thesis was part of this project, and our work consisted on developing a decision making framework for the team of robots.In the first part of the thesis, we address the strategic decisions essentially the: (i) the robots’ home station location problem, (ii) Robot‘s reconfiguration problems and (iii) Robots recharging scheduling. We formulate those problems as a linear problems and we propose to solve them using Mixed Integer Programming (MIP). We also present a formulation using a column generation approach to solve those problems.In the later part we address the tactical problems, mainly the mission assignment, the mission scheduling and rescheduling. We present two different approaches; a centralized decision finder implemented using genetic algorithms. And a decentralized approach using auction like and market based algorithms in order to provided collaborative decision making framework.Finally we compare those two approaches using a custom made discrete event simulation (DES).
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Hassan Baalbaki. Logistique hospitalière à l’aide de robots mobiles reconfigurables. Autre. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2011. Français. ⟨NNT : 2011EMSE0618⟩. ⟨tel-00783995⟩

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