A robust inventory routing policy under inventory inaccuracy and replenishment lead-time |
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| Institution: | 1. Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Station 18, Lausanne 1015, Switzerland;2. CIRRELT and HEC Montréal, 3000 chemin de la Côte-Sainte-Catherine, Montréal, H3T 2A7, Canada;3. Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, The Netherlands;4. Haute École de Gestion de Genève, University of Applied Sciences Western Switzerland (HES-SO), Campus Battelle, Rue de la Tambourine 17, Carouge, 1227, Switzerland |
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| Abstract: | In this paper, we study an inventory routing problem under replenishment lead-time and inventory inaccuracy, which exist extensively in distribution systems for fresh products, but are often ignored in existing research. To solve the problem, a robust inventory routing policy is developed in three steps. At first, we propose the methods of updating the probability of the current net inventory and predicting those in future periods. For each candidate route, we develop a Robust TQL Algorithm to optimize the replenishment time, replenishment quantity and replenishment stage length. Finally, a genetic algorithm-based method is developed to optimize the delivery route. |
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| Keywords: | Inventory inaccuracy Inventory routing Robust policy |
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