Optimized Multi-Echelon Inventory Policies In Robust Distribution Networks
نویسندگان
چکیده
To cope with current turbulent market demands, more robust inventory policies are needed for distribution networks, to lower the inventory cost as well as maintain high responsiveness. This paper analyzes the inventory policies in the context of complex multiechelon distribution networks and proposes an optimization and simulation integrating approach to robust inventory policies selection for multi-echelon distribution networks. Based on the existing approximation approaches designed primarily for twoechelon inventory model, an analytical multi-echelon inventory model with an efficient optimization algorithm is presented. Through systematic parameter adjustment, “optimal” inventory policies are suggested by this model. In the next step, a simulation model is applied to evaluate the proposed solutions under market dynamics, so that the most favorable ones may be selected. Finally, a case study is conducted and future research directions are suggested.
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