Stratégies manufacturières pour des chaînes d’approvisionnement non fiables intégrant la production, la livraison et le transfert de stock

Abstract

This study addresses the stochastic optimal control problem for two-echelon supply chains that integrate the delivery of finished goods and the transshipment of inventory between locations. These supply chains face random events such as random breakdowns and repairs of the machines. A stochastic dynamic programming approach combined with discrete-continuous simulation is used to model the complex dynamics of the system. This approach makes it possible to determine the structures of the optimal control policies as well as the optimal values of the parameters characterizing these policies. In the first part of this thesis, we study the case of a supply chain made up of an unreliable manufacturer delivering finished products to several retailers. We develop an integrated production and delivery feedback policy. We also propose an improvement of this policy by integrating the aspect of prioritization of retailers in the delivery policy. The results show that the proposed policies provide better performance compared to policies adapted from the literature. The policy integrating prioritization being the best in terms of cost. In a second part, we study the case of a supply chain composed of two unreliable manufacturers located in two regions and which face different demand rates, and which allow the transshipment of stock between them. The goal is to determine an optimal control policy that integrates production and transshipment decisions between locations. The results show that the proposed integrated policy outperforms the policies adapted from the literature including the case of no transshipment between retailers. In summary, the proposed policies demonstrate the importance of coordination between production, delivery and transshipment activities in two-echelon supply chains. They help decision-makers to simultaneously take decisions concerning these activities, ensuring a minimal cost and better supply chain performance.

Date	1 Sept 2021
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Mustapha Ouhimmou (Supervisor) & Ali Gharbi (Co-supervisor)