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In this paper we present an approach especially designed to solve the real world problem of Anesthesiology Nurse Scheduling (ANSP) at a French public hospital, where the anesthesiology nurses are one of the most shared resources. We propose a Particle Swarm Optimization algorithm to solve the ANSP. We compare our technique with previous results obtained(More)
In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking into account a set of constraints and the nurses' stated(More)
Les entreprises cherchent de plus en plus à améliorer leur performance industrielle en termes de coût, de délais, d'adaptabilité, de variété et de traçabilité. A ce besoin correspond la nécessité pour les entreprises de collaborer et de renforcer leurs dispositifs de coordination. L'échange des informations devient alors une question stratégique : Quelle(More)
This paper proposes a global and complete decision support tool able to help decision makers in the reengineering of a surgical suite. Under increasing economic pressure and subject to rapid evolutions of technology and surgical protocols, hospitals have to consider radical organisational changes to ensure continuous efficiency. Recent findings in(More)
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