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Aide à la décision pour le dimensionnement et le pilotage de ressources humaines mutualisées en milieu hospitalier

Abstract : To reduce cost and optimize the use of resources, hospitals are prompted to regroup facilities and human resources, especially in the surgical suite. The principle of sharing resources from several surgical specialties in a multi-disciplinary surgical suite raises a number of issues, particularly regarding the design of the new structure (resources sizing, organizational alternatives) and its steering process (scheduling surgery, allocating human and material resources). At the moment, decision makers are lacking tools to address these challenges. This thesis proposes a global decision support methodology for designing the surgical suite and steering the pooled human resources. This methodology involves three main steps. We first carry out the process modeling of existing surgical suites, in order to elaborate a diagnosis and to initiate a methodology for performance improvement. In a second step these existing process models are used as a basis to elaborate models of the targeted process. These new models allow building up an activity simulation tool that enables to generate curves representing workforce requirements. We address the staffing problem of pooled personnel through the design of a set of shifts covering the estimated workload, using Integer Linear Programming (ILP) combined with discrete event simulation. In a third time, we focus on the anesthesiology personnel (nurses
and physician), which are generally organized in pools of personnel, and propose solutions to the related scheduling problems. Approaches based on Mixed Linear Programming (MLP) and Constraint Programming (CP) have been developed, experimented and validated in real-world applications.
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Contributor : Lorraine Trilling <>
Submitted on : Tuesday, September 18, 2007 - 4:02:01 PM
Last modification on : Friday, October 23, 2020 - 4:49:27 PM
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  • HAL Id : tel-00173007, version 1


Lorraine Trilling. Aide à la décision pour le dimensionnement et le pilotage de ressources humaines mutualisées en milieu hospitalier. domain_stic.othe. INSA de Lyon, 2006. Français. ⟨tel-00173007⟩



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