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Politiques de pilotage de flux dans les chaînes logistiques : impact de l'utilisation des prévisions sur la gestion de stocks

Abstract : The efficient management of supply chain flows is an important concern that is considered by enterprises as a lever enabling to improve the customer service level at low costs. Several investigations deal with this issue by developing tools for a better flow management. Within this framework, our thesis proposes new flow management policies.
In the first part of this work, we provide a synthesis of the existing flow management policies by highlighting their similarities and their differences. This enables us to propose a classification of these policies based on the type of available information on the demand. Such a classification constitutes a tool that enterprises may use to choose the best flow management policy for a given context.
In the second part of this work, we propose an extension of the classical inventory control policies, based on an inventory consumption approach, to future requirements based policies where the requirements are expressed in the form of uncertain forecasts. Thus, we develop new dynamic forecast based inventory control policies based on the concept of forecast uncertainty. A numerical study compares these policies and enables us to show the benefit of using forecasts in managing flows. Moreover, we study the equivalences that exist between the different flow management policies presented in this thesis. This enables us to give a more coherent global vision of these policies and to highlight the relations that exist between them.
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Mohamed Zied Babai. Politiques de pilotage de flux dans les chaînes logistiques : impact de l'utilisation des prévisions sur la gestion de stocks. Sciences de l'ingénieur [physics]. Ecole Centrale Paris, 2005. Français. ⟨tel-00275292⟩

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