Archives ouvertes de l'université catholique de l'Ouest
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Protocole de simulation en Réalité Virtuelle pour adultes autistes dyscommunicants vers un habitat inclusif partagé
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Ecologie et « sports de nature » ? La légitimité du discours écolo-sportif en question
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Ressources heuristiques et pratiques du minimalisme de Ruwen Ogien pour l’approche critique des mutations numériques contemporaines en éducation
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Pompéi : archéologie de l’ivoire et de l’os. Conférence au Collège de France
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Les enjeux de l’éducation à l’époque de l’Anthropocène. UFCV, Paris
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A robust LP-based approach for a dynamic surgical case scheduling problem with sterilisation constraints
No full textInternational audienceThe purpose of this article is to investigate a practical scheduling problem in which a group of elective surgical cases are scheduled over time, while considering their unpredictable durations and potential delays in the sterilisation of surgical instruments. The primary objectives were to schedule the maximum number of surgeries and decrease overtime for the surgical staff, as well as limit the number of instruments requiring emergency sterilisation. The study was conducted in collaboration with the University Hospital of Angers in France, which also contributed historical data for the experiments. We propose two robust mixed integer linear programming models, which are then solved iteratively through a rolling horizon approach, in which the objective functions are taken into account in lexicographic order. Experiments on randomly generated instances indicated which of the two approaches had better performance. Comparison of the results for a real-world scenario involving actual planning at the hospital indicated a greater than 69% decrease in overtime, and a minimum of 92% fewer stressful situations in the sterilising unit