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Contribution à l'optimisation de la chaîne logistique pharmaceutique dans un contexte multi-sites : application au groupe hospitalier de la région Mulhouse et sud Alsace

Abstract : The purpose of this thesis is to study and improve the logistical aspects of the hospitals group named "Groupement Hospitalier de Mulhouse Sud-Alsace" (GHRMSA). Our study focuses on the problematics of the pharmacy of the Emile Muller hospital at Mulhouse in France, which is dedicated to become the central pharmacy of the group. This new consideration implies to centralize several pharmaceutical processes such as the medical devices management which are mandatory for surgical operations. This work is divided into two different parts on the management of surgical devices.Indeed, as a first step we study the optimization of the layout to store surgical devices. The special characteristics of the pharmaceutical environment compared to the industrial one are used to propose methods to design layouts of the warehouse in order to minimize the average distance traveled by the employees during the picking phase. First, we define a linear mathematical model and a dedicated heuristic but also two other methods hybridizing the latter with genetic algorithms and branch and bounds. In order to improve this work and prepare the future, we also propose methods to optimise the routing of the employees to completes endowment lists using a transport vehicle with a multi level storing policy. The use of such a vehicle implies the following constraints: u-turn impossibility, imposed traffic direction and respect of the transport capacity. Any of theses constraints can be considered or not in order to create a model as near as possible of the real world.As a second step, we propose surgical operations scheduling methods. This work focuses on the assignment of the needed surgical devices boxes. The purpose is to improve the decision between the operating theaters of each site of the hospital group and the sterilization service in order to smooth the sterilization workload and to improve the reactivity in case of emergencies or any other unexpected problems. To solve the scheduling problem, we define a linear mathematical model as well as a particle swarm optimization algorithm to create surgical operations plannings which minimize the number of needed surgical devices boxes. Moreover, we extend the initial problem with the transport between hospital locations, and present a method to create plannings for surgical operations and for the delivery of the surgical boxes to minimize the global cost considering the parameters of the transport system.
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Submitted on : Tuesday, September 18, 2018 - 5:10:09 PM
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Benoit Beroule. Contribution à l'optimisation de la chaîne logistique pharmaceutique dans un contexte multi-sites : application au groupe hospitalier de la région Mulhouse et sud Alsace. Autre. Université Bourgogne Franche-Comté, 2018. Français. ⟨NNT : 2018UBFCA013⟩. ⟨tel-01876744⟩

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